[{"data":1,"prerenderedAt":1606},["ShallowReactive",2],{"page-config-/news/recent-uses-of-non-traditional-data-in-the-public-interest":3,"news-post-recent-uses-of-non-traditional-data-in-the-public-interest":38,"all-faculty-news-detail":61},{"id":4,"title":5,"body":6,"description":10,"extension":13,"hero":14,"meta":32,"navigation":15,"path":33,"sections":34,"seo":35,"stem":36,"__hash__":37},"pages/pages/news.md","News",{"type":7,"value":8,"toc":9},"minimark",[],{"title":10,"searchDepth":11,"depth":11,"links":12},"",2,[],"md",{"showHero":15,"title":16,"badge":17,"description":18,"image":19,"imageCredit":20,"backgroundImage":21,"links":22},true,"Recent News & Updates","Latest Posts","Stay updated with the latest news, events, interviews, and videos from our community.","/images/news.webp","Sebastian Pfütze","/images/news-hero-bg.png",[23,28],{"label":24,"to":25,"target":26,"type":27},"Subscribe","https://mailchi.mp/4337f0e3e319/9262kjy9ck","_blank","primary",{"label":29,"to":30,"type":31},"Contact Us","/contact","secondary",{},"/pages/news",null,{"description":10},"pages/news","ATWPyIzBfpLDxYvll1Bbm4TfPyhAWlstJxCQJDVTKxs",{"id":39,"title":40,"author":41,"authorAvatar":34,"authors":42,"body":34,"category":43,"date":44,"description":45,"duration":34,"endTime":34,"extendedContent":34,"extension":46,"featured":47,"heading":40,"image":48,"location":34,"locationType":34,"mainContent":49,"meta":50,"navigation":15,"path":51,"registrationLink":34,"seo":52,"slug":53,"startTime":34,"stem":54,"tags":55,"videoUrl":34,"__hash__":60},"blogposts/blogposts/recent-uses-of-non-traditional-data-in-the-public-interest.json","Recent Uses of Non-Traditional Data in the Public Interest","Adam Zable ",[],"blog","2026-01-06T12:00:00","Non-Traditional Data (NTD) — data that is digitally captured, mediated, or observed through sources such as satellites, sensors, online platforms, mobility traces, and crowdsourcing...","json",false,"https://cms.thegovlab.com/assets/42b27573-eb92-46da-84a4-8f51d77fe8a0","\u003Cdiv class=\"base-card-body\" data-v-2b85cfb6=\"\">\n\u003Cdiv class=\"base-card-content\" data-v-2b85cfb6=\"\">\n\u003Cdiv class=\"article-card-content | stack-l\" data-v-871cfd72=\"\">\n\u003Ch1 class=\"article-card-title\">Recent Uses Of Non Traditional Data In The Public Interest\u003C/h1>\n\u003C/div>\n\u003C/div>\n\u003C/div>\n\u003Cp>\u003Cspan style=\"font-size: 24px; font-weight: bold;\">Introduction\u003C/span>\u003C/p>\n\u003Cp id=\"3576\" class=\"pw-post-body-paragraph xj xk rx xl b xm alu xo xp xq alv xs xt gv alw xv xw ot alx xy xz oy aly yb yc yd kj dd\" data-selectable-paragraph=\"\">Non-Traditional Data (NTD) — data that is digitally captured, mediated, or observed through sources such as satellites, sensors, online platforms, mobility traces, and crowdsourcing — continues to feature in public-interest research and decision support as a complement to traditional statistics and administrative records. Earlier updates in this series documented how these data sources have been used in areas such as public health, economic measurement, urban systems and mobility, environmental monitoring, and governance. This edition adds further evidence on where NTD is now being applied most consistently and the types of questions it is being used to address.\u003C/p>\n\u003Cp id=\"0701\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">This update, covering work published between September and December 2025, is organized around the following thematic areas:\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"0c6f\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Public Health Intelligence and Surveillance;\u003C/strong>\u003C/li>\n\u003Cli id=\"91de\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Crisis Response and Humanitarian Decision Support\u003C/strong>;\u003C/li>\n\u003Cli id=\"6175\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Environment, Climate Resilience, and Air Quality;\u003C/strong>\u003C/li>\n\u003Cli id=\"5468\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Urban Systems, Mobility, and Public Space;\u003C/strong>\u003C/li>\n\u003Cli id=\"cda9\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Online Political Sentiment;\u003C/strong>\u003C/li>\n\u003Cli id=\"754a\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Economic Opportunity and Labor Dynamics\u003C/strong>; and\u003C/li>\n\u003Cli id=\"3e0a\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Migration\u003C/strong>.\u003C/li>\n\u003C/ul>\n\u003Cp id=\"82f7\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Across these areas, the cases draw on a recurring set of non-traditional data sources, including:\u003C/p>\n\u003Cp id=\"8098\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Open-source digital information\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"b752\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">News media, online reports, blogs, and transcribed radio broadcasts (e.g. epidemic intelligence systems)\u003C/li>\n\u003Cli id=\"dbcb\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Public web content scraped to detect emerging signals and trends\u003C/li>\n\u003C/ul>\n\u003Cp id=\"203b\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Wastewater and environmental biosignals\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"be2d\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Viral RNA measurements from wastewater at treatment plants and upstream sewer catchments\u003C/li>\n\u003Cli id=\"8845\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Multi-pathogen wastewater surveillance (COVID-19, influenza, RSV, norovirus)\u003C/li>\n\u003C/ul>\n\u003Cp id=\"8214\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Online behavior and digital traces\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"1e4f\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Search engine query data (e.g. symptom- and disease-related searches)\u003C/li>\n\u003Cli id=\"2a0c\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Social media posts, comments, engagement metrics, and timestamps\u003C/li>\n\u003Cli id=\"1598\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Platform activity metadata linked (with consent) to cohort or survey data\u003C/li>\n\u003C/ul>\n\u003Cp id=\"48ad\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Crowdsourced and community-generated data\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"ea79\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Citizen reports submitted via mobile phones during disasters (flooding, landslides, infrastructure damage)\u003C/li>\n\u003Cli id=\"d8b5\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Participatory mapping contributions, photos, and local observations\u003C/li>\n\u003C/ul>\n\u003Cp id=\"e763\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Mobile network and location data\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"e8e3\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Aggregated, anonymized mobile phone connectivity data to infer population movement and evacuation behavior\u003C/li>\n\u003Cli id=\"b4d5\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Platform-based mobility data (e.g. traffic and routing applications)\u003C/li>\n\u003C/ul>\n\u003Cp id=\"0f55\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Remote sensing and satellite imagery\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"85df\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Optical, radar, and thermal satellite data for disaster damage assessment; agricultural disruption in conflict zones; and road quality, passability, and infrastructure change\u003C/li>\n\u003Cli id=\"4400\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">AI-derived features extracted from high-resolution imagery\u003C/li>\n\u003C/ul>\n\u003Cp id=\"4a07\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Low-cost sensor data\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"722a\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Mobile air-quality sensors carried by delivery workers or mounted on vehicles\u003C/li>\n\u003Cli id=\"9024\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">High-frequency environmental measurements outside fixed monitoring networks\u003C/li>\n\u003C/ul>\n\u003Cp id=\"ebe4\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Platform-generated economic and labor data\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"338e\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Aggregated professional profile and career-transition data from online labor platforms\u003C/li>\n\u003Cli id=\"5691\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Transactional data from supermarket loyalty card programs\u003C/li>\n\u003C/ul>\n\u003Cp id=\"fd05\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Operational and administrative by-product data\u003C/strong>\u003C/p>\n\u003Cul class=\"\">\n\u003Cli id=\"d9c7\" class=\"xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">Border management systems, asylum case records, service-provider datasets\u003C/li>\n\u003Cli id=\"285f\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd aks akt aku dd\" data-selectable-paragraph=\"\">NGO and humanitarian operational data not originally collected for statistical purposes\u003C/li>\n\u003C/ul>\n\u003Cp id=\"6f17\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Taken together, the cases offer a snapshot of recent practice in the reuse of non-traditional data for public-interest analysis. They illustrate how different data sources are being applied in specific institutional and geographic contexts, without seeking to draw broader conclusions about effectiveness, impact, or long-term sustainability.\u003C/p>\n\u003Ch2 id=\"21dc\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Public Health Intelligence and Surveillance\u003C/h2>\n\u003Cp> \u003C/p>\n\u003Cp>\u003Cimg src=\"https://cms.thegovlab.com/assets/3946aeac-62a8-47bb-91cd-3f98d32ada12.webp?width=479&height=150\" alt=\"0 Bb E V5o0l Td Cp Us Os\">\u003C/p>\n\u003Cp id=\"d4c2\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">World Health Organization. “\u003Cstrong class=\"xl ry\">WHO Upgrades Its Public Health Intelligence System to Boost Global Health Security\u003C/strong>.” October 13, 2025.\u003Ca class=\"cg qq\" href=\"https://www.who.int/news/item/13-10-2025-who-upgrades-its-public-health-intelligence-system-to-boost-global-health-security\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://www.who.int/news/item/13-10-2025-who-upgrades-its-public-health-intelligence-system-to-boost-global-health-security\u003C/a>\u003C/p>\n\u003Cp id=\"c3b7\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Announces the launch of version 2.0 of the Epidemic Intelligence from Open Sources (EIOS) system, WHO’s global platform for early detection and monitoring of emerging public health threats.\u003C/p>\n\u003Cp id=\"6d97\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>EIOS analyzes large volumes of publicly available information, including news media, social media, online reports, and transcribed radio broadcasts, using automated analytics and multilingual processing. The WHO operates EIOS as a public good, with more than 110 national public health agencies using the system to identify early signals that may not yet appear in laboratory or clinical data. The upgraded version integrates additional open-source data streams and applies automated analytics to help users identify, verify, and assess potential health threats.\u003C/p>\n\u003Cp id=\"d472\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>The updated system expands the scale, diversity, and timeliness of global health intelligence available to countries. New features, including AI-supported signal detection, multilingual access, and the ability to analyze additional sources such as radio broadcasts, alongside improving collaborative analysis strengthens the ability of national and international actors to monitor health risks linked to disease emergence, climate impacts, and conflict.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/16055498-6fdb-4b3d-8c38-37254f01ded0.webp?width=381&height=150\" alt=\"0 Xb S4oma Bqndv O Sj\">\u003C/p>\n\u003Cp id=\"b795\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Bebinger, Martha. “\u003Cstrong class=\"xl ry\">Boston-Based AI Disease Tracker Aims to Be an ‘Alarm Bell’ as the Trump Administration Severs Global Health Ties\u003C/strong>.” \u003Cem class=\"ye\">WBUR\u003C/em>, September 12, 2025. \u003Ca class=\"cg qq\" href=\"https://www.wbur.org/news/2025/09/12/boston-ai-biothreat-tracker-beacon-cdc-diseases-global-health\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://www.wbur.org/news/2025/09/12/boston-ai-biothreat-tracker-beacon-cdc-diseases-global-health\u003C/a>\u003C/p>\n\u003Cp id=\"d59e\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Profiles the development and early deployment of BEACON, an independent disease surveillance platform designed to detect and communicate emerging public health threats.\u003C/p>\n\u003Cp id=\"5f0c\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>Researchers at Boston University designed BEACON to aggregate publicly available web-based information, including news reports, online sources, and user submissions, alongside inputs from a global network of infectious disease experts. Automated web scraping generates roughly half of all alerts, while expert contributions and verified public reports account for the remainder. Medical and public health professionals review all signals before the platform publishes them in a continuously updated, open-access feed that maps outbreaks across countries and pathogens.\u003C/p>\n\u003Cp id=\"ca54\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>BEACON shortens the time between initial reporting of disease events and public communication. In its first months of operation, the platform produced hundreds of alerts across multiple pathogens and regions, demonstrating its ability to operate at global scale. The system provides openly accessible outbreak intelligence that supports monitoring and decision-making even when traditional surveillance capacity is reduced or disrupted.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/6d49b322-a84f-4dce-9b58-e93736e88532.webp?width=245&height=200\" alt=\"0 B C0 Y529snqe E Zrw K\">\u003C/p>\n\u003Cp id=\"0222\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Oswald, Claire, Stephanie Melles, Kimberley Gilbride, Eyerusalem Goitom, Sarah Ariano, Alexandra Johnston, Eden Hataley, Amir Tehrani, Nora Dannah, Hussain Aqeel, Christopher Wellen, James Li & Steven Liss. “\u003Cstrong class=\"xl ry\">Identification of Sentinel Upstream Community Sites for Wastewater Surveillance of SARS-CoV-2 in a Large Urban Area\u003C/strong>.” \u003Cem class=\"ye\">Water Research\u003C/em>, Volume 284, 123958.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1016/j.watres.2025.123958\" target=\"_blank\" rel=\"noopener ugc nofollow\"> September 15, 2025. https://doi.org/10.1016/j.watres.2025.123958\u003C/a>\u003C/p>\n\u003Cp id=\"bdc3\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Evaluates how upstream wastewater sampling locations improve neighborhood-level detection of COVID-19 transmission.\u003C/p>\n\u003Cp id=\"fae3\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The research team analyzed high-frequency viral RNA measurements from untreated wastewater collected across multiple upstream sewer catchments in Toronto. The analysis combined wastewater signals with geospatial sewer network data and community marginalization indices to assess where wastewater signals most closely aligned with reported clinical cases. Results show that upstream sites, particularly in dense and socially vulnerable communities with shorter pipe lengths, captured infection dynamics earlier and more clearly than centralized treatment plants.\u003C/p>\n\u003Cp id=\"1bb4\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Wastewater surveillance performance depends in part on where data collection occurs and how infrastructure and social context shape the collected signals. Accounting for these factors can improve early warning capacity and support more equitable surveillance design.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/2afba38e-d4da-4ded-805d-214353464db2.webp?width=229&height=200\" alt=\"0 Hldhi O Gzqu Gsd 5K\">\u003C/p>\n\u003Cp id=\"1763\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Amirali, Ayaaz, Mark E. Sharkey, Shruti Choudhary, Kristina M. Babler, Cynthia C. Beaver, Pratim Biswas, Kate R. Bowie, Taylor Burke, Benjamin B. Currall, George S. Grills, Hannah G. Healy, Alexander G. Lucaci, Christopher E. Mason, Michaela McGuire, Rosemarie Ramos, Madelena Ruedaflores, Natasha Schaefer Solle, Stephan C. Schürer, Bhavarth S. Shukla, Mario Stevenson, Helena M. Solo-Gabriele. “\u003Cstrong class=\"xl ry\">Long-Term Assessment of SARS-CoV-2 in Wastewater and the Transition to Evaluate Additional Viral Targets\u003C/strong>.” \u003Cem class=\"ye\">Science of the Total Environment\u003C/em>, Volume 995 (2025), 180096. September 15, 2025.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1016/j.scitotenv.2025.180096\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://doi.org/10.1016/j.scitotenv.2025.180096\u003C/a>\u003C/p>\n\u003Cp id=\"b8a1\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Assesses the long-term reliability of wastewater-based surveillance and examines the feasibility of expanding surveillance beyond SARS-CoV-2 to additional viral targets.\u003C/p>\n\u003Cp id=\"39c9\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>Researchers analyzed nearly four years of wastewater viral concentration data collected from three regional treatment plants in Miami-Dade County and processed by multiple laboratories. The study compared wastewater signals with several clinical health metrics across time and geography. The analysis also expanded monitoring to influenza A and B, norovirus, respiratory syncytial virus, and human metapneumovirus to evaluate multi-pathogen surveillance capacity.\u003C/p>\n\u003Cp id=\"59ff\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Long-term evidence on wastewater surveillance remains limited despite widespread adoption. The study shows that correlations with disease prevalence vary by geography, population mobility, variant dynamics, and choice of clinical comparator. Consistent detection of multiple pathogens across laboratories supports the feasibility of distributed surveillance systems while underscoring the importance of spatial and temporal context.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/72b1e5b1-a155-4b1c-937a-a460f2496d70.webp?width=363&height=200\" alt=\"0 8 Fw F L2meaiz Li8 Uk\">\u003C/p>\n\u003Cp id=\"5f3e\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Deshpande, Gargi, Bijay Rimal, Kristen Shelton, Jason Vogel, Bradley Stevenson, Katrin Gaardbo Kuhn. “\u003Cstrong class=\"xl ry\">Wastewater-Based Surveillance for Influenza and Respiratory Syncytial Virus: Insights from a 21-Month Study in Oklahoma\u003C/strong>.” \u003Cem class=\"ye\">Epidemics\u003C/em>, Volume 53, 100861. October 2025.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1016/j.epidem.2025.100861\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://doi.org/10.1016/j.epidem.2025.100861\u003C/a>\u003C/p>\n\u003Cp id=\"070f\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Tests whether wastewater surveillance can track seasonal circulation of influenza and RSV at statewide scale.\u003C/p>\n\u003Cp id=\"039c\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The study analyzed weekly wastewater samples from 18 treatment plants across Oklahoma to measure viral RNA concentrations for influenza A, influenza B, and RSV over a 21-month period. Researchers compared these signals with hospitalization data and test positivity across urban, rural, and underserved communities.\u003C/p>\n\u003Cp id=\"66c3\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Clinical surveillance often undercounts mild or asymptomatic infections and lags behind transmission trends. Wastewater data offers a population-representative view of respiratory virus circulation across large and diverse regions that does not depend on individual testing or care-seeking behavior. Statewide surveillance supports more comprehensive situational awareness, particularly in communities with limited access to healthcare or testing.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/15146b7d-117c-4ac6-8cb7-7624c7a1c7f9.webp?width=367&height=200\" alt=\"0 U Rt N2cfgp0 Ye S1n\">\u003C/p>\n\u003Cp id=\"efdb\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Farkas, Kata, Devrim Kaya, Rasha Maal-Bared, Ahmad I. Al-Mustapha, Sarmila Tandukar, Ishi Keenum, Teemu Gunnar, Aaron Bivins, Matthew J. Wade, Kyle Bibby, Tarja M. Pitkänen & Ananda Tiwari. “\u003Cstrong class=\"xl ry\">Communicating Wastewater-Based Surveillance Data to Drive Action\u003C/strong>.” \u003Cem class=\"ye\">Journal of Water and Health\u003C/em>, Volume 23, Issue 9. September 1, 2025. \u003Ca class=\"cg qq\" href=\"https://doi.org/10.2166/wh.2025.080\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://doi.org/10.2166/wh.2025.080\u003C/a>\u003C/p>\n\u003Cp id=\"8c80\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Examines how communication practices shape the public health value of wastewater surveillance data.\u003C/p>\n\u003Cp id=\"a261\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The study reviews how public health agencies, utilities, and research institutions generate and share aggregated wastewater pathogen signals through dashboards, standardized reports, online repositories, and near-real-time data feeds. These systems link laboratory outputs with decision-makers across local, national, and international contexts.\u003C/p>\n\u003Cp id=\"0c68\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Effective public health surveillance depends not only on data collection but on whether decision-makers and communities can interpret and use the information. Inconsistent formats, unclear thresholds, and fragmented digital infrastructure limit the usability of wastewater surveillance. Moving away from treating laboratory results as standalone scientific outputs, towards integrating wastewater data into standardized digital communication systems, can improve interpretation, coordination, and trust across sectors as countries institutionalize wastewater monitoring beyond COVID-19.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/ed5ed9a9-02b8-47b6-a6b0-daf6a33b7407.webp?width=645&height=200\" alt=\"0 Z D5 Okit A8p Dl4i S\">\u003C/p>\n\u003Cp id=\"ec15\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Alshahrani, Abdulrahman M., Areej A. Alahmadi, Fahad S. Alzahrani, and Saeed S. Alqahtani. “\u003Cstrong class=\"xl ry\">Enhancing the Accuracy of COVID-19 Incidence and Mortality Predictions Using Google Trends Data Across the 50 U.S. States and the District of Columbia\u003C/strong>.” \u003Cem class=\"ye\">Data & Policy\u003C/em>, Volume 7, e77. November 3, 2025.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1017/dap.2025.10036\" target=\"_blank\" rel=\"noopener ugc nofollow\"> \u003C/a>\u003Ca class=\"cg qq\" href=\"https://www.cambridge.org/core/journals/data-and-policy/article/enhancing-the-accuracy-of-covid19-incidence-and-mortality-predictions-using-google-trends-data-across-the-50-us-states-and-the-district-of-columbia/A855E95979B30B4130F14C8FBBF3F0BD\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://www.cambridge.org/core/journals/data-and-policy/article/enhancing-the-accuracy-of-covid19-incidence-and-mortality-predictions-using-google-trends-data-across-the-50-us-states-and-the-district-of-columbia/A855E95979B30B4130F14C8FBBF3F0BD\u003C/a>\u003C/p>\n\u003Cp id=\"7ad6\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Tests whether online search behavior can improve short-term predictions of COVID-19 incidence and mortality.\u003C/p>\n\u003Cp id=\"3d07\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The authors used aggregated Google Trends queries related to symptoms, testing, and disease awareness at the state level. The study integrated these indicators into predictive models alongside reported case and death data and evaluated multiple lag structures.\u003C/p>\n\u003Cp id=\"580f\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Search behavior reflects population concern and symptom experience earlier than formal reporting. Incorporating these signals can improve predictive accuracy during periods of rapid change and illustrates how behavioral data can complement epidemiological surveillance.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/bd8ceca2-5620-4955-986c-c2edf1ce7409.webp?width=487&height=200\" alt=\"0 P Mjrd Dd J4stpw Ds A\">\u003C/p>\n\u003Cp id=\"76aa\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Dahiya, Liza & Rachit Bagga. “\u003Cstrong class=\"xl ry\">Digital Epidemiology: Leveraging Social Media for Insight into Epilepsy and Mental Health\u003C/strong>.” \u003Cem class=\"ye\">Journal of Computational Social Science\u003C/em>, Volume 9, Article 1. November 4, 2025.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1007/s42001-025-00402-x\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://doi.org/10.1007/s42001-025-00402-x\u003C/a>\u003C/p>\n\u003Cp id=\"9ed2\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Analyzes social media discussions to identify mental health risks and support needs among people with epilepsy and their caregivers.\u003C/p>\n\u003Cp id=\"f622\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The researchers analyzed approximately 57,000 posts and over 530,000 comments from Reddit’s r/Epilepsy community over three years. The dataset captures unsolicited expressions of symptoms, treatment experiences, emotional distress, and caregiving challenges. Researchers used text analysis to extract themes, temporal patterns, and indicators of depression across demographic groups.\u003C/p>\n\u003Cp id=\"1aac\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Mental health comorbidities in epilepsy often remain under-detected in clinical settings. By linking linguistic patterns and engagement metrics to reported experiences across age, gender, and caregiver relationships, researchers can use social media data to provide complementary insight into emerging concerns and vulnerable groups, particularly younger adults and caregivers.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/a6cf5ade-508b-4b26-ad56-3385ad8ead83.webp?width=440&height=200\" alt=\"0 P82 Ldeeog K Eux6i D\">\u003C/p>\n\u003Cp id=\"ea6e\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Joinson, David, Claire M. A. Haworth, Emma Simpson, Nello Cristianini, Nicholas H. Di Cara, & Oliver S. P. Davis. “\u003Cstrong class=\"xl ry\">Active Night-Time Tweeting Is Associated with Meaningfully Lower Mental Wellbeing in a UK Birth Cohort Study\u003C/strong>.” \u003Cem class=\"ye\">Scientific Reports\u003C/em> 15: 34301.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1038/s41598-025-14745-y\" target=\"_blank\" rel=\"noopener ugc nofollow\"> October 9, 2025. https://doi.org/10.1038/s41598-025-14745-y\u003C/a>.\u003C/p>\n\u003Cp id=\"ab62\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus:\u003C/strong> Examines associations between night-time social media use and mental wellbeing in adults.\u003C/p>\n\u003Cp id=\"139b\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data:\u003C/strong> The research team linked consented Twitter activity metadata with participants in a UK longitudinal birth cohort. The study used Tweet timestamps to calculate each participant’s average posting time in the two weeks preceding validated mental health assessments. They combined these behavioral traces with longitudinal cohort data to analyze associations between digital activity patterns and mental health outcomes.\u003C/p>\n\u003Cp id=\"6006\" class=\"pw-post-body-paragraph xj xk rx xl b xm xo xp xq xs xt gv xv xw ot xy xz oy yb yc yp yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters:\u003C/strong> Platform-generated behavioral traces allow researchers to study mental health risks that self-report methods often miss. The findings are directly relevant to ongoing policy debates on digital wellbeing, platform design, and online safety regulation.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xo xp xq xs xt gv xv xw ot xy xz oy yb yc yp yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/4f66e750-77ad-44a3-98eb-12f65dbe3478.webp?width=361&height=200\" alt=\"0 S Ehga Sy U7qega Be\">\u003C/p>\n\u003Cp id=\"7467\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Burgess, Romana, Ayesha Suhag, and Anna Skatova. “\u003Cstrong class=\"xl ry\">Exploring the use of supermarket loyalty card data in health research: A scoping review\u003C/strong>.” Public Health, Volume 247. October 2025. \u003Ca class=\"cg qq\" href=\"https://doi.org/10.1016/j.puhe.2025.105848\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://doi.org/10.1016/j.puhe.2025.105848\u003C/a>\u003C/p>\n\u003Cp id=\"6747\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Synthesizes evidence on how researchers use supermarket loyalty card data to study health outcomes and inequalities.\u003C/p>\n\u003Cp id=\"9f20\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The review covers 44 studies that used loyalty card transaction data to infer dietary patterns, alcohol and tobacco consumption, medication use, and responses to policy interventions such as sugar taxes and pricing reforms. Many studies linked retail data with surveys, deprivation indices, food composition databases, or health records.\u003C/p>\n\u003Cp id=\"ac23\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Loyalty card data enable longitudinal observation of health-related behavior at population scale. The review highlights both the analytical value and governance challenges involved in integrating private-sector data into public health research and decision-making.\u003C/p>\n\u003Ch2 id=\"6287\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Crisis Response and Humanitarian Decision Support\u003C/h2>\n\u003Cp>\u003Cimg src=\"https://cms.thegovlab.com/assets/1b917ab6-e2d0-4aba-a06d-8b8b1ed30f46.webp?width=306&height=200\" alt=\"0  M5olxr C M4z491t\">\u003C/p>\n\u003Cp id=\"cd84\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">PetaBencana.id. “\u003Cstrong class=\"xl ry\">Understanding Sumatra’s Extreme Floods and How Communities Are Responding” and “Bali Under Water: Communities Map Floods in Real Time to Guide Evacuations\u003C/strong>.” \u003Cem class=\"ye\">PetaBencana Blog\u003C/em>. 2025.\u003Ca class=\"cg qq\" href=\"https://blog.petabencana.id/category/uncategorized/\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://blog.petabencana.id/category/uncategorized\u003C/a>\u003C/p>\n\u003Cp id=\"e4d8\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus:\u003C/strong> Documents community-led flood mapping that supported evacuations and response operations during major flood events in Sumatra and Bali in late 2025.\u003C/p>\n\u003Cp id=\"2a47\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data:\u003C/strong> Residents submitted geolocated reports through PetaBencana.id during unfolding emergencies. Contributors reported flooded roads, blocked bridges, landslides, rising water levels, and unsafe zones via mobile devices. The platform aggregated reports into a live public map that reflected on-the-ground conditions as infrastructure failed and official updates lagged. Emergency services and volunteer groups used the map alongside official channels to identify priority evacuation areas, deploy rescue assets, coordinate sandbagging, and manage traffic.\u003C/p>\n\u003Cp id=\"257e\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters:\u003C/strong> Flood response requires timely, granular situational awareness when conditions change faster than official alerts can circulate. Community-generated reports can fill critical information gaps and provide operationally relevant detail that traditional monitoring systems often cannot deliver during fast-moving disasters.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/e4086963-0437-4b1c-aceb-f99d3e309ce2.webp?width=265&height=200\" alt=\"0 Fu1 N Lg4 A70 Pdr U2b\">\u003C/p>\n\u003Cp id=\"9aae\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Abid, Sheikh Kamran, Ruhizal Roosli, Umber Nazir, and Nur Shazwani Kamarudin. “\u003Cstrong class=\"xl ry\">AI-Enhanced Crowdsourcing for Disaster Management: Strengthening Community Resilience Through Social Media\u003C/strong>.” \u003Cem class=\"ye\">International Journal of Emergency Medicine\u003C/em> 18, Article 201. October 13, 2025.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1186/s12245-025-01009-9\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://doi.org/10.1186/s12245-025-01009-9\u003C/a>\u003C/p>\n\u003Cp id=\"62f4\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Synthesizes evidence on how machine learning and social media crowdsourcing can improve disaster management and strengthen community resilience.\u003C/p>\n\u003Cp id=\"8bb0\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The study examines citizen-generated social media content shared during disasters, including text, images, video, and location-tagged updates. The authors review how machine learning methods can sort, classify, and prioritize these data streams to support preparedness and response, with particular attention to disaster cooperation in Pakistan. The paper highlights use cases where automated processing can help identify urgent needs, improve situational assessments, and support coordination between communities and response organizations.\u003C/p>\n\u003Cp id=\"1762\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Many disaster systems struggle to convert high-volume citizen reporting into actionable intelligence. The study shows how automated analytics can connect community-generated signals to decision-making in rapidly evolving emergencies. The Pakistan focus reflects broader patterns across the Global South, where responders increasingly rely on AI-enabled tools to make crowdsourced information usable at operational speeds.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/be7644fd-7082-4bef-a242-0ca1f7bdf45b.webp?width=372&height=200\" alt=\"0 Cs5 T Lex N T8 O0pjn\">\u003C/p>\n\u003Cp id=\"de91\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Elejalde, Erick, Timur Naushirvanov, Kyriaki Kalimeri, Elisa Omodei, Márton Karsai, Loreto Bravo, and Leo Ferres. “\u003Cstrong class=\"xl ry\">Use of Mobile Phone Data to Measure Behavioral Response to SMS Evacuation Alerts\u003C/strong>.” \u003Cem class=\"ye\">International Journal of Disaster Risk Reduction\u003C/em>, Volume 131, Article 105919.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1016/j.ijdrr.2025.105919\" target=\"_blank\" rel=\"noopener ugc nofollow\"> December 2025. https://doi.org/10.1016/j.ijdrr.2025.105919\u003C/a>\u003C/p>\n\u003Cp id=\"9d9f\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Measures real-time evacuation behavior following emergency SMS alerts during the February 2024 wildfires in Valparaíso, Chile.\u003C/p>\n\u003Cp id=\"f429\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The researchers used anonymized mobile network data from approximately 580,000 devices to infer population movement before and after evacuation alerts. Changes in mobile tower connectivity served as a proxy for evacuation timing, intensity, and recovery. The study evaluated spillover movement into non-warned areas and examined differences across socioeconomic groups. The analysis revealed patterns consistent with alert fatigue, voluntary evacuation outside targeted zones, and unequal capacity to evacuate and return.\u003C/p>\n\u003Cp id=\"6635\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Emergency managers often lack direct evidence on whether alerts trigger movement and which communities face constraints in responding. Mobile network data enables high-frequency observation of evacuation behavior at operational timescales. The findings show how repeated alerts can reduce responsiveness, how evacuation extends beyond designated zones, and how socioeconomic differences shape evacuation and recovery outcomes.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/3de10188-75a7-4786-9f0e-bf705fb4df6f.webp?width=442&height=200\" alt=\"0 H Oyqs Xb0mca J7 Exy\">\u003C/p>\n\u003Cp id=\"bba4\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Ramachandran, Anu, Akash Yadav, and Andrew Schroeder. “\u003Cstrong class=\"xl ry\">Implementation of Remote-Sensing Models to Identify Post-Disaster Health Facility Damage: Comparative Approaches to the 2023 Earthquake in Turkey\u003C/strong>.” \u003Cem class=\"ye\">PLOS Digital Health\u003C/em>, Volume 4, Issue 10, e0001060. October 27, 2025.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1371/journal.pdig.0001060\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://doi.org/10.1371/journal.pdig.0001060\u003C/a>\u003C/p>\n\u003Cp id=\"6e0a\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Evaluates AI-based damage detection models that estimate health facility damage from post-disaster imagery after the 2023 earthquake in Türkiye.\u003C/p>\n\u003Cp id=\"cd76\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The researchers combined AI-generated building damage estimates with open and semi-crowdsourced health facility location data, including hospitals, dialysis centers, and pharmacies. Two machine learning models produced building-level damage outputs from post-event imagery. The team intersected model outputs with facility location points to estimate likely facility damage, and it tested both facility-level overlays and spatially aggregated approaches. Open mapping sources expanded facility coverage, particularly for pharmacies that official post-disaster inventories often omit.\u003C/p>\n\u003Cp id=\"eeab\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Response teams need early insight into damage to health infrastructure to allocate medical resources and plan recovery, yet ground assessments often take weeks. The study shows that AI-derived damage layers combined with facility location data can generate scalable early indicators and support prioritization. The results also show that spatially aggregated approaches can improve performance, while current models still fall short of replacing on-the-ground validation.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/c332f787-e8b6-42c8-bc36-684002b45fa9.webp?width=355&height=200\" alt=\"0 P Wb2u E Tsf2 Ah Tc\">\u003C/p>\n\u003Cp id=\"4332\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Heidelberg Institute for Geoinformation Technology (HeiGIT). “\u003Cstrong class=\"xl ry\">New Global Satellite Dataset for Humanitarian Routing and Tracking Infrastructure Change\u003C/strong>.” \u003Cem class=\"ye\">Eurekalert!\u003C/em> November 19, 2025.\u003Ca class=\"cg qq\" href=\"https://heigit.org/\" target=\"_blank\" rel=\"noopener ugc nofollow\"> \u003C/a>\u003Ca class=\"cg qq\" href=\"https://www.eurekalert.org/news-releases/1106576\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://www.eurekalert.org/news-releases/1106576\u003C/a>\u003C/p>\n\u003Cp id=\"cddc\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Introduces a global dataset that characterizes road surface quality, width, and change over time to support humanitarian routing and infrastructure monitoring.\u003C/p>\n\u003Cp id=\"8fd8\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>HeiGIT built the dataset from high-resolution commercial satellite imagery from PlanetScope and applied machine learning to classify road surface type and width across 9.2 million kilometers of routes worldwide. The pipeline generates a Humanitarian Passability Score that estimates accessibility under varying conditions. The dataset tracks infrastructure change from 2020 to 2024 and converts imagery into a dynamic view of road quality rather than a static map. The team distributed outputs as an open dataset through the Humanitarian Data Exchange to enable reuse by humanitarian organizations, governments, and researchers.\u003C/p>\n\u003Cp id=\"1314\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Humanitarian logistics and disaster response depend on reliable information about which routes remain usable, especially during seasonal disruption and extreme weather. Many regions lack current or detailed road condition data. The dataset offers globally consistent road quality indicators and supports routing decisions, investment planning, and monitoring of infrastructure change, including in rural and underserved areas.\u003C/p>\n\u003Ch2 id=\"258c\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Environment, Climate Resilience, and Air Quality\u003C/h2>\n\u003Cp>\u003Cimg src=\"https://cms.thegovlab.com/assets/cfb87878-bd10-47a9-a083-4f400bd9c180.webp?width=451&height=200\" alt=\"0 L B20w Vz6 Gf I Wi Ay\">\u003C/p>\n\u003Cp id=\"f86d\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Lyons, David. “\u003Cstrong class=\"xl ry\">Mapping a fairer future: The open-source movement that’s mobilising for climate resilience\u003C/strong>”. \u003Cem class=\"ye\">Pioneers Post\u003C/em>. October 21, 2025. \u003Ca class=\"cg qq\" href=\"https://immersives.pioneerspost.com/openstreetmap-climate-resilience/index.html\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://immersives.pioneerspost.com/openstreetmap-climate-resilience/index.html\u003C/a>\u003C/p>\n\u003Cp id=\"e54b\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Shows how OpenStreetMap contributors and partners use open geospatial data to support disaster preparedness, climate resilience planning, and infrastructure investment in underserved regions.\u003C/p>\n\u003Cp id=\"750a\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>Volunteers and local organizations generate and update geospatial data through participatory field surveys, drone imagery, and locally collected observations. Contributors map roads, buildings, drainage, shade cover, flood exposure, and emergency resources in places where commercial maps and official registries remain incomplete. The Humanitarian OpenStreetMap Team combines these inputs with AI-assisted mapping tools to expand coverage while local participants validate results and correct errors.\u003C/p>\n\u003Cp id=\"0eb7\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Emergency response and climate adaptation depend on accurate, current information about what exists on the ground and where risks concentrate. Locally produced maps can speed response during floods, fires, and heat events and can inform investment choices such as drainage upgrades or targeted flood mitigation. The work also strengthens local capacity to generate and use data, which can reduce dependence on external actors and support longer-term, community-owned data ecosystems.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/8dab248e-4fcc-4b65-8f43-ecddd65faaa0.webp?width=200&height=267\" alt=\"0 M Yj Dix Gmxw5dm Jr G\">\u003C/p>\n\u003Cp id=\"b111\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Perry, Niál, Peter P. Pedersen, Charles N. Christensen, Emanuel Nussli, Sanelma Heinonen, Lorena Gordillo Dagallier, Raphaël Jacquat, Sebastian Horstmann & Christoph Franck. “\u003Cstrong class=\"xl ry\">Detecting Urban PM Hotspots with Mobile Sensing and Gaussian Process Regression\u003C/strong>.” \u003Cem class=\"ye\">arXiv\u003C/em>. September 21, 2025.\u003Ca class=\"cg qq\" href=\"https://arxiv.org/abs/2509.17175?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://arxiv.org/abs/2509.17175\u003C/a>\u003C/p>\n\u003Cp id=\"2474\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Develops a method that identifies urban particulate matter (PM2.5) pollution hotspots using mobile low-cost sensors and probabilistic spatial modeling.\u003C/p>\n\u003Cp id=\"2ba7\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>Delivery workers in Kigali, Rwanda carried low-cost sensors mounted on electric motorbikes during routine routes, generating high-frequency, geolocated pollution measurements that differ from structured readings from fixed monitoring stations. The researchers normalized sensor readings to reduce background effects and applied Gaussian process regression to estimate city-wide PM2.5 patterns. The method produces hotspot scores that represent the probability that pollution in a given area exceeds the city-wide median. The approach also uses open-source mapping data and software to support replication without access to formal monitoring infrastructure.\u003C/p>\n\u003Cp id=\"3d21\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Many rapidly growing cities lack dense air quality monitoring networks, which limits understanding of exposure and weakens the evidence base for intervention. Mobility-based sensing can produce actionable, high-resolution pollution maps without reliance on fixed sensors or satellite-only estimates. Hotspot identification can support targeted clean air interventions, transport planning, and public health assessment for populations facing persistent exposure.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/39c705ab-5d06-4d83-8d83-d6f133ca196b.webp?width=414&height=200\" alt=\"0 L6 Wlxx Hjs M F2b59 L\">\u003C/p>\n\u003Cp id=\"fb4f\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Deininger, Klaus; Daniel Ayalew Ali, Nataliia Kussul, Guido Lemoine, Andrii Shelestov, and Leonid Shumilo. “\u003Cstrong class=\"xl ry\">Using Remotely Sensed Data to Assess War-Induced Damage to Agricultural Cultivation: Evidence from Ukraine\u003C/strong>.” \u003Cem class=\"ye\">World Bank Group,\u003C/em> Policy Research Working Paper 11221. September 25, 2025. \u003Ca class=\"cg qq\" href=\"https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099726309252542219\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099726309252542219\u003C/a>\u003C/p>\n\u003Cp id=\"6538\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Quantifies war-related damage to agricultural cultivation in Ukraine and measures changes in crop activity across conflict-affected regions.\u003C/p>\n\u003Cp id=\"7766\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The researchers used high-frequency satellite-derived indicators to detect damage and abandonment in farmland. The analysis drew on Sentinel optical and radar imagery, thermal fire-detection data, and satellite-based crop classification maps to identify burned fields, artillery impacts, vehicle tracks, trenches, and disrupted planting. These remotely sensed measures supported tracking of winter and summer crop cultivation across nearly 10,000 local administrative units, including areas with limited access, shifting frontlines, and incomplete official reporting.\u003C/p>\n\u003Cp id=\"ede6\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Conflict-driven agricultural losses affect food security, rural livelihoods, and post-war recovery, yet traditional reporting often cannot measure impacts at scale. Satellite-derived indicators provide timely, consistent evidence that can reveal losses beyond those captured in media-based conflict datasets. The results can inform humanitarian assistance, compensation design, demining priorities, and reconstruction planning.\u003C/p>\n\u003Ch2 id=\"6074\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Urban Systems, Mobility, and Public Space\u003C/h2>\n\u003Cp>\u003Cimg src=\"https://cms.thegovlab.com/assets/743c168a-213f-4810-bf06-a00214586df8.webp?width=356&height=200\" alt=\"0 Uk Zkd Vya D2 X Sowai\">\u003C/p>\n\u003Cp id=\"7c2a\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Gambrell, Dane. “\u003Cstrong class=\"xl ry\">Vibe Coding the City: How One Developer Used Open Data to Map Every Public Space in New York City\u003C/strong>.” \u003Cem class=\"ye\">Rebooting Democracy in the Age of AI\u003C/em>. October 14, 2025. \u003Ca class=\"cg qq\" href=\"https://rebootdemocracy.ai/blog/vibe-coding-the-city-how-one-developer-used-open-data-to-map-every-public-space-in-new-york-city\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://rebootdemocracy.ai/blog/vibe-coding-the-city-how-one-developer-used-open-data-to-map-every-public-space-in-new-york-city\u003C/a>\u003C/p>\n\u003Cp id=\"3dcc\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Describes how civic technologist Chris Whong consolidated fragmented public datasets to map New York City’s public spaces in a single searchable tool.\u003C/p>\n\u003Cp id=\"4c09\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data:\u003C/strong> The project combined open government datasets on parks, plazas, waterfront access areas, schoolyards, and privately owned public spaces. The developer cleaned and standardized records into a unified spatial inventory and supplemented official data with community-submitted updates, photos, and amenity details collected through the app. Generative AI assisted coding and produced initial descriptions for thousands of spaces, while user contributions and moderation corrected errors and added context.\u003C/p>\n\u003Cp id=\"c9fb\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Residents often cannot use public space information effectively because agencies publish it in fragmented formats with inconsistent structures. A consolidated and enriched map can improve access to everyday amenities and support navigation, accessibility planning, and community use of the public realm.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/13dc5d9d-2083-4e27-862f-13f4af8eaa8e.webp?width=356&height=200\" alt=\"0 6bl V Isc P Yx6 F Ky0h\">\u003C/p>\n\u003Cp id=\"3d56\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Pirlea, Ana Florina, and Divyanshi Wadhwa. “\u003Cstrong class=\"xl ry\">Understanding Traffic Changes During COVID-19 Through Waze Data\u003C/strong>.” \u003Cem class=\"ye\">Development Data Partnership\u003C/em>, World Bank. November 24, 2025.\u003Ca class=\"cg qq\" href=\"https://datapartnership.org/updates/understanding-traffic-changes-during-covid-19-through-waze-data/\" target=\"_blank\" rel=\"noopener ugc nofollow\"> https://datapartnership.org/updates/understanding-traffic-changes-during-covid-19-through-waze-data/\u003C/a>\u003C/p>\n\u003Cp id=\"b94c\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Analyzes how city road traffic changed during COVID-19 lockdowns and reopening using real-time Waze mobility data.\u003C/p>\n\u003Cp id=\"c6e6\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The World Bank accessed anonymized, aggregated traffic data from Waze through the Development Data Partnership. The team measured changes in road traffic volume in New York, Bogotá, Mumbai, and Manila following stay-at-home orders and reopening phases. Platform-based signals enabled city-level observation of behavioral responses to policy interventions on short time horizons.\u003C/p>\n\u003Cp id=\"0779\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Transport planners and policymakers need timely evidence on how crises reshape mobility patterns to manage congestion, emissions, and system resilience. Platform data can reveal immediate and uneven impacts across cities with different income levels and governance contexts. Integrating these signals with economic and environmental indicators can support more responsive and resilient urban planning.\u003C/p>\n\u003Ch2 id=\"d4bf\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Online Political Sentiment\u003C/h2>\n\u003Cp>\u003Cimg src=\"https://cms.thegovlab.com/assets/7a1f0a20-52e6-4940-8b7e-e27a9aeff479.webp?width=569&height=200\" alt=\"0 Rk1 Pxf Fhk89ot3ps\">\u003C/p>\n\u003Cp id=\"07dd\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Askarizade, Mojgan, Ensieh Davoodijam. “\u003Cstrong class=\"xl ry\">Analyzing Public Sentiment in Iranian Presidential Elections on Twitter Using Large Language Models\u003C/strong>.” \u003Cem class=\"ye\">Journal of Computational Social Science\u003C/em>, Volume 8, Article 102. October 17, 2025.\u003Ca class=\"cg qq\" href=\"https://doi.org/10.1007/s42001-025-00402-x\" target=\"_blank\" rel=\"noopener ugc nofollow\"> \u003C/a>\u003Ca class=\"cg qq\" href=\"https://link.springer.com/article/10.1007/s42001-025-00431-6\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://link.springer.com/article/10.1007/s42001-025-00431-6\u003C/a>\u003C/p>\n\u003Cp id=\"1634\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Measures shifts in public sentiment and candidate attention during the 2024 Iranian presidential election using Persian-language Twitter activity.\u003C/p>\n\u003Cp id=\"afc6\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The researchers analyzed 111,386 election-related Persian-language tweets collected during the election period. The dataset included tweet text, user metadata, and engagement indicators, which captured political expression in an environment where polling and open survey research face constraints. The authors applied large language models to classify sentiment at scale and traced hourly and daily sentiment dynamics across the election cycle.\u003C/p>\n\u003Cp id=\"1560\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Policymakers and researchers often lack reliable, timely measures of public opinion in settings where political expression is sensitive and traditional data sources are limited. Social media analysis can offer an additional lens on political engagement and sentiment dynamics. The study also illustrates how large language models can support analysis of non-English political discourse.\u003C/p>\n\u003Ch2 id=\"11a1\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Economic Opportunity and Labor Dynamics\u003C/h2>\n\u003Cp>\u003Cimg src=\"https://cms.thegovlab.com/assets/53b979f7-8158-4436-8317-931fcfcfe265.webp?width=300&height=200\" alt=\"0 1 M Q2yy J Oeceg 7 U1\">\u003C/p>\n\u003Cp id=\"d867\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Yañez-Pagans, Patricia, Jimena Serrano, Mattia Chiapello, Magdalena Barafani, Casey Weston, Silvia Lara, and Alejandra Barrientos. “\u003Cstrong class=\"xl ry\">Fixing the Broken Rung: How Data Can Help Advance Women’s Careers in Latin America and the Caribbean\u003C/strong>.” \u003Cem class=\"ye\">IDB Group Blogs (Sustainable Businesses Blog)\u003C/em>. November 5, 2025. \u003Ca class=\"cg qq\" href=\"https://idbinvest.org/en/blog/gender/fixing-broken-rung-how-data-can-help-advance-womens-careers-latin-america-and-caribbean\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://idbinvest.org/en/blog/gender/fixing-broken-rung-how-data-can-help-advance-womens-careers-latin-america-and-caribbean\u003C/a>\u003C/p>\n\u003Cp id=\"b860\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Identifies where women’s representation drops most sharply along the career ladder in Latin America and the Caribbean, with emphasis on the move from entry-level roles into management.\u003C/p>\n\u003Cp id=\"daa3\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The analysis uses aggregated and anonymized LinkedIn profile data across 18 countries, including job titles, sectors, seniority levels, and transitions. The dataset enables comparisons across industries and countries at a scale and granularity that labor force surveys typically cannot provide. IDB Invest accessed the data through an agreement with LinkedIn under the Development Data Partnership\u003C/p>\n\u003Cp id=\"87ea\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Policymakers and employers need clearer evidence on where career progression breaks down to design effective interventions that close gender gaps in leadership and earnings. Traditional labor statistics rarely capture internal transitions with sufficient detail. Platform-based data can support targeted responses such as leadership pipelines, sector-specific inclusion strategies, and reskilling programs grounded in observed career pathways.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/6eb85d8c-8189-4590-9750-b59ce22e1307.webp?width=367&height=200\" alt=\"0 I0 a ML Dxkde Aw Ti6 B\">\u003C/p>\n\u003Cp id=\"716a\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Aliu, Toluwani. “\u003Cstrong class=\"xl ry\">How AI Is Powering Grassroots Solutions for Underserved Communities\u003C/strong>.” \u003Cem class=\"ye\">World Economic Forum\u003C/em>. September 2, 2025. \u003Ca class=\"cg qq\" href=\"https://africa.businessinsider.com/news/a-nonprofit-used-ai-to-document-77-million-miles-of-unmapped-waterways-heres-why-that/bwdn0gh\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://africa.businessinsider.com/news/a-nonprofit-used-ai-to-document-77-million-miles-of-unmapped-waterways-heres-why-that/bwdn0gh\u003C/a>\u003C/p>\n\u003Cp id=\"8c20\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus\u003C/strong>: Describes how a nonprofit maps unmapped waterways to identify missing bridge infrastructure and help decision-makers prioritize investments that expand access to services and markets.\u003C/p>\n\u003Cp id=\"6ff4\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The initiative uses geospatial signals derived from satellite imagery and related passively collected sources to map waterways and identify likely bridge sites at scale. Machine learning helps analyze elevation, vegetation, and hydrological patterns and reduces reliance on time-intensive field surveys. The organization combines these outputs with information on population locations, destinations such as schools and clinics, and travel-time proxies to estimate who lacks safe crossings and where investments yield the highest access gains.\u003C/p>\n\u003Cp id=\"49d5\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters\u003C/strong>: Spatial data quality influences which communities receive infrastructure investment and how quickly needs assessments translate into action. Waterway mapping linked to access indicators can improve transparency and speed for site selection and planning. The work has informed infrastructure planning in parts of East Africa and has reduced the time and cost associated with identifying high-impact bridge locations.\u003C/p>\n\u003Ch2 id=\"466d\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Migration\u003C/h2>\n\u003Cp>\u003Cimg src=\"https://cms.thegovlab.com/assets/709f6b09-6bf8-4a5d-8b11-cc635732231c.webp?width=200&height=283\" alt=\"0 8nr Qn Ki T8n V9k Icn\">\u003C/p>\n\u003Cp id=\"8ad9\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Kierans, Denis, and Albert Kraler, eds. “\u003Cstrong class=\"xl ry\">Handbook on Irregular Migration Data. Concepts, Methods and Practices\u003C/strong>.” \u003Cem class=\"ye\">MIrreM Project\u003C/em>, \u003Cem class=\"ye\">University of Krems Press\u003C/em>. October 9, 2025. \u003Ca class=\"cg qq\" href=\"https://door.donau-uni.ac.at/detail/o:5665\" target=\"_blank\" rel=\"noopener ugc nofollow\">https://door.donau-uni.ac.at/detail/o:5665\u003C/a>\u003C/p>\n\u003Cp id=\"996b\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Focus: \u003C/strong>Provides practical guidance on how institutions collect, interpret, and govern data on irregular migration.\u003C/p>\n\u003Cp id=\"119b\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Role of Non-Traditional Data: \u003C/strong>The handbook covers data sources that extend beyond censuses and surveys, including border management systems, asylum and case-processing records, visa and permit databases, return and detention records, service-provider data, NGO operational datasets, and digitally mediated information flows. It discusses methods that combine fragmented datasets across institutions and jurisdictions and estimation approaches that address undercounting and invisibility. The text also emphasizes ethical safeguards for handling sensitive personal information.\u003C/p>\n\u003Cp id=\"b7ba\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Why This Matters: \u003C/strong>Irregular migration remains difficult to measure and politically contested, yet it shapes humanitarian protection, labor markets, and border governance. Clearer definitions and transparent methods can improve consistency and credibility in estimates. Shared standards for data access, interpretation, and protection can strengthen accountability and support evidence-informed policy in high-stakes settings.\u003C/p>\n\u003Ch2 id=\"984b\" class=\"all alm rx am aln gp alo gq gr gs alp gt gu ll alq lm lt lu alr lv mc md als me ml alt dd\" data-selectable-paragraph=\"\">Reflections\u003C/h2>\n\u003Col class=\"\">\n\u003Cli id=\"440f\" class=\"xj xk rx xl b xm alu xo xp xq alv xs xt gv alw xv xw ot alx xy xz oy aly yb yc yd alh akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Public health intelligence is the most prominent application area: \u003C/strong>Many cases focus on early detection and situational awareness rather than long-term epidemiological measurement. Open-source epidemic intelligence systems, wastewater surveillance, search behavior, and online discussion are used to complement clinical reporting, especially where testing, coverage, or timeliness are limited.\u003C/li>\n\u003Cli id=\"ded2\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd alh akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Most uses support monitoring and operational decision-making: \u003C/strong>The strongest examples emphasize understanding conditions as they evolve, including tracking outbreaks, observing evacuation behavior, mapping flood impacts, assessing damage to health facilities, and identifying accessible transport routes during crises.\u003C/li>\n\u003Cli id=\"fd56\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd alh akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Specific data types recur in consistent, task-oriented roles: \u003C/strong>Remote sensing is repeatedly used for environmental damage, agricultural disruption, and infrastructure assessment in inaccessible or conflict-affected areas. Crowdsourced data appears most often in localized crisis response and resilience planning. Platform and mobility data are used to observe behavior at scale, including movement during disasters, traffic patterns, labor market dynamics, and online political engagement.\u003C/li>\n\u003Cli id=\"c2aa\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd alh akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Translation and integration matter as much as data collection: \u003C/strong>Some cases focus on how signals are processed and presented through dashboards, hotspot probabilities, passability scores, damage overlays, or standardized reporting formats. These design choices often determine whether non-traditional data can inform real-world decisions.\u003C/li>\n\u003Cli id=\"df69\" class=\"xj xk rx xl b xm akv xo xp xq akw xs xt gv akx xv xw ot aky xy xz oy akz yb yc yd alh akt aku dd\" data-selectable-paragraph=\"\">\u003Cstrong class=\"xl ry\">Most applications remain research- or mission-driven rather than fully institutionalized: \u003C/strong>Universities, public agencies, and non-profit actors dominate the cases, even when privately held or platform-generated data is involved. Questions of access, representativeness, and governance remain present but unresolved across many examples.\u003C/li>\n\u003C/ol>\n\u003Cp id=\"3ef7\" class=\"pw-post-body-paragraph xj xk rx xl b xm xn xo xp xq xr xs xt gv xu xv xw ot xx xy xz oy ya yb yc yd kj dd\" data-selectable-paragraph=\"\">Together, these cases show non-traditional data being used repeatedly for a limited set of tasks, particularly where timeliness, spatial granularity, and the ability to fill gaps in official data are most critical.\u003C/p>",{},"/blogposts/recent-uses-of-non-traditional-data-in-the-public-interest",{"title":40,"description":45},"recent-uses-of-non-traditional-data-in-the-public-interest","blogposts/recent-uses-of-non-traditional-data-in-the-public-interest",[56,57,58,59],"Data Reuse","Data For Good","Open Data","Public Policy","SZeloxfZHoF6VdHw5ZWbYOZSvZmyCodP6Nulpo9fbjQ",[62,75,89,104,118,131,143,155,168,180,194,206,218,230,242,254,266,276,288,302,315,328,341,352,364,378,393,406,419,432,445,458,467,480,492,504,517,530,542,554,566,578,591,604,616,628,641,652,663,677,690,704,715,728,739,752,764,776,788,801,813,825,839,852,865,877,889,901,913,925,937,949,961,974,986,998,1012,1024,1036,1047,1061,1074,1088,1100,1113,1125,1137,1149,1161,1171,1183,1195,1207,1220,1232,1244,1259,1271,1283,1297,1309,1323,1337,1350,1363,1375,1388,1400,1412,1424,1436,1449,1461,1474,1485,1496,1510,1523,1535,1547,1559,1570,1582,1593],{"id":63,"title":64,"affiliation":34,"bio":65,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":67,"legacy":47,"linkedin":34,"meta":68,"name":64,"navigation":15,"path":70,"photo":34,"role":71,"seo":72,"stem":73,"topic":34,"website":34,"__hash__":74},"faculty/faculty/adam-zable.json","Adam Zable","Adam Zable is a Research Fellow at the GovLab. His work and research interests focus on the intersection of emerging technologies, data governance, and democracy. In his previous role as the Director of Emerging Technologies at the Digital Trade and Data Governance Hub, he spearheaded the development of the Global Data Governance Mapping Project, assessing national-level data governance efforts across the globe, and organized conferences on the international policy implications of extended reality and on data governance in the age of generative AI. He holds a Master of Public Policy from the Willy Brandt School of Public Policy and resides in Freiburg, Germany.","author","https://cms.thegovlab.com/assets/1646f23a-0139-43d8-b0b2-51a455000728",{"slug":69},"adam-zable","/faculty/adam-zable","Research Fellow",{},"faculty/adam-zable","5bR3wydz1eXMWjD7PSD8j4im9GZM7_x4k8iz5TN85Dw",{"id":76,"title":77,"affiliation":34,"bio":78,"body":34,"category":79,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":80,"legacy":15,"linkedin":81,"meta":82,"name":77,"navigation":15,"path":84,"photo":34,"role":85,"seo":86,"stem":87,"topic":34,"website":34,"__hash__":88},"faculty/faculty/adrienne-schmoeker.json","Adrienne Schmoeker","Adrienne Schmoeker is the former Deputy Chief Analytics Officer for the City of New York. During her tenure with the City of New York she led the team at the NYC Mayor's Office of Data Analytics, grew the NYC Open Data Program, co-founded NYC Open Data Week and was part of the founding team in the inaugural NYC CTO's Office. Prior to working for New York City government Adrienne led new market expansion and the development of the enterprise business for the social-impact company Catchafire. Adrienne is currently advising urban technology startups, helping design new data programs and advising on government technology programs working to close the digital divide.","instructor","https://cms.thegovlab.com/assets/d359af3c-47d4-4da8-a3b1-acc521906ceb","https://www.linkedin.com/in/schmoeker/",{"slug":83},"adrienne-schmoeker","/faculty/adrienne-schmoeker","Course Advisor",{},"faculty/adrienne-schmoeker","z_7IPuXoKOHDOgpFTsSqBY_T1QYYDk0kAWowjYGC3ow",{"id":90,"title":91,"affiliation":92,"bio":34,"body":34,"category":93,"cohort":94,"description":34,"expertise":34,"extension":46,"headshot":34,"image":95,"legacy":47,"linkedin":96,"meta":97,"name":91,"navigation":15,"path":99,"photo":34,"role":34,"seo":100,"stem":101,"topic":102,"website":34,"__hash__":103},"faculty/faculty/alex-hutchison.json","Alex Hutchison","Forr Data","guest-faculty","DS Berlin 2024, DS Berlin 2025","https://cms.thegovlab.com/assets/6c6e0f38-0cae-48d9-9c3d-acea65f0eb5c","https://www.linkedin.com/in/alex-hutchison-62517412/",{"slug":98},"alex-hutchison","/faculty/alex-hutchison",{},"faculty/alex-hutchison","Impact Measurement & Work of Data for Children Collaborative","Q6zJ9wxOc_kYKt4uhkMYd9u3Ptug0EKTJWUmU75-NX4",{"id":105,"title":106,"affiliation":107,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":109,"legacy":15,"linkedin":110,"meta":111,"name":106,"navigation":15,"path":113,"photo":34,"role":34,"seo":114,"stem":115,"topic":116,"website":34,"__hash__":117},"faculty/faculty/alex-pompe.json","Alex Pompe","Freelancer, Open Mapping and Nature Photography","DS Turin 2024","https://cms.thegovlab.com/assets/049e41fa-e266-495e-80e1-0096c00bca85","https://www.linkedin.com/in/alexpompe/",{"slug":112},"alex-pompe","/faculty/alex-pompe",{},"faculty/alex-pompe","Data powered collaborations for social good & Meta's Data for Good Work","NxXESqPg21h7BH-7afZnYJ00dZxFvjnMPJZFkxAyNPY",{"id":119,"title":120,"affiliation":121,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":123,"legacy":15,"linkedin":124,"meta":125,"name":120,"navigation":15,"path":127,"photo":34,"role":34,"seo":128,"stem":129,"topic":34,"website":34,"__hash__":130},"faculty/faculty/alison-paprica.json","Alison Paprica","University of Toronto","DS Academy 2020-2022","https://cms.thegovlab.com/assets/22da179a-53e4-4752-aa1a-1f70bb07ffaa","https://www.linkedin.com/in/p-alison-paprica-4468326/",{"slug":126},"alison-paprica","/faculty/alison-paprica",{},"faculty/alison-paprica","GdVZUxEJDplSSVWpxCQFaDliddUXHhtXXbk2BbtBQeA",{"id":132,"title":133,"affiliation":134,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":135,"legacy":15,"linkedin":136,"meta":137,"name":133,"navigation":15,"path":139,"photo":34,"role":34,"seo":140,"stem":141,"topic":34,"website":34,"__hash__":142},"faculty/faculty/amen-ra-mashariki.json","Amen Ra Mashariki","Bezos Earth Fund","https://cms.thegovlab.com/assets/a4701d40-6533-4230-8874-871ac94b3f34","https://www.linkedin.com/in/amen-ra-mashariki-1452885/",{"slug":138},"amen-ra-mashariki","/faculty/amen-ra-mashariki",{},"faculty/amen-ra-mashariki","B9EIq50RRHe6ou-4B7T6sCncR2ahTJxjNa8CKUzSMHg",{"id":144,"title":145,"affiliation":146,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":147,"legacy":15,"linkedin":148,"meta":149,"name":145,"navigation":15,"path":151,"photo":34,"role":34,"seo":152,"stem":153,"topic":34,"website":34,"__hash__":154},"faculty/faculty/amy-regas.json","Amy Regas","Tetra Tech","https://cms.thegovlab.com/assets/4b28666d-dde5-4d03-bd08-d7aa6009b6e3","https://www.linkedin.com/in/amykimregas/",{"slug":150},"amy-regas","/faculty/amy-regas",{},"faculty/amy-regas","YdWm44wcLD4bmciE5cbyAEjZTvsqHUtaxZLa3Hsy1I4",{"id":156,"title":157,"affiliation":158,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":159,"legacy":47,"linkedin":160,"meta":161,"name":157,"navigation":15,"path":163,"photo":34,"role":34,"seo":164,"stem":165,"topic":166,"website":34,"__hash__":167},"faculty/faculty/andrea-zaramella.json","Andrea Zaramella","Vodafone Business","https://cms.thegovlab.com/assets/6bb956bb-52af-469e-8cdf-2dff4a4a4321","https://www.linkedin.com/in/andreazaramelladott/",{"slug":162},"andrea-zaramella","/faculty/andrea-zaramella",{},"faculty/andrea-zaramella","Use of TELCO Data for Impact Evaluation","VkhRswUzIdWPshGjj7Js6ub9aLPKoPWBg3C4mMWCB68",{"id":169,"title":170,"affiliation":171,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":172,"legacy":15,"linkedin":173,"meta":174,"name":170,"navigation":15,"path":176,"photo":34,"role":34,"seo":177,"stem":178,"topic":34,"website":34,"__hash__":179},"faculty/faculty/andrew-collinge.json","Andrew Collinge","Jacobs","https://cms.thegovlab.com/assets/6a9b4a0a-d447-4c44-aeaa-ab2155274359","https://www.linkedin.com/in/andrew-collinge-0708b91b/",{"slug":175},"andrew-collinge","/faculty/andrew-collinge",{},"faculty/andrew-collinge","CJI_-FFIpM7E761MupRMJsu5qZDTThFIU9aiNR1X2s0",{"id":181,"title":182,"affiliation":34,"bio":183,"body":34,"category":79,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":184,"legacy":47,"linkedin":185,"meta":186,"name":188,"navigation":15,"path":189,"photo":34,"role":190,"seo":191,"stem":192,"topic":34,"website":34,"__hash__":193},"faculty/faculty/andrew-j-zahuranec.json","Andrew J Zahuranec","\u003Cp dir=\"ltr\">Andrew J. Zahuranec is a Research and Partnership Manager at The GovLab, where he oversees projects focused on how advances in science and technology can improve governance and help society better address systemic challenges such as climate change and migration. Andrew has coordinated and managed various initiatives, including the #Data4COVID19 Africa Challenge—a collaboration between l'Agence française de développement (AFD), Expertise France, and The GovLab to accelerate responsible data innovation to tackle COVID-19 pandemic and its effects across Africa—and the Responsible Data for Children initiative—a collaboration with UNICEF to promote the more effective and responsible use of data for and about children in settings afflicted with challenges such as forced migration, climate change, and disaster response. \u003C/p>\n\u003Cp>\u003Cstrong id=\"docs-internal-guid-ccdeb17b-7fff-01a5-cb71-4ee622a7f2b9\">\u003Cbr>\u003C/strong>In addition, Andrew conducts significant research on data collaboration and data stewardship, especially as they relate to ongoing, dynamic crises. He developed publications including \u003Cem>The #Data4COVID19 Review, The Use of Mobility Data for Responding to the COVID-19 Pandemic, and What Is Mobility Data? Where Is It Used?\u003C/em>, all of which examined the role that non-traditional data could play in understanding patterns of human mobility for pandemic response. He is a lead for the Data Stewards Academy and has facilitated courses on data stewardship for the State of Maryland.\u003C/p>","https://cms.thegovlab.com/assets/d7d6b2e8-0e2e-4f85-b1b7-2074e8ab6932","https://www.linkedin.com/in/ajzahuranec/",{"slug":187},"andrew-j-zahuranec","Andrew J. Zahuranec","/faculty/andrew-j-zahuranec","Course Facilitator",{},"faculty/andrew-j-zahuranec","yzaZQzcLZDC1c1DhsU9KAioBGaCIWd8NOlZVK5ui2Vw",{"id":195,"title":196,"affiliation":34,"bio":197,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":198,"legacy":47,"linkedin":34,"meta":199,"name":196,"navigation":15,"path":201,"photo":34,"role":202,"seo":203,"stem":204,"topic":34,"website":34,"__hash__":205},"faculty/faculty/andrew-young.json","Andrew Young","Andrew Young is the Knowledge Director at The GovLab, where he leads research efforts focusing on the impact of technology on public institutions. Among the grant-funded projects he has directed are a global assessment of the impact of open government data; comparative benchmarking of government innovation efforts against those of other countries; a methodology for leveraging corporate data to benefit the public good; and crafting the experimental design for testing the adoption of technology innovations in federal agencies.","https://cms.thegovlab.com/assets/25da5949-b5b6-4d38-9536-d1c14254d987",{"slug":200},"andrew-young","/faculty/andrew-young","Knowledge Director",{},"faculty/andrew-young","ES3foDZEbla4rnSjm-O-j2YKaeuV7UJT-wYzo3nsWHM",{"id":207,"title":208,"affiliation":209,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":210,"legacy":15,"linkedin":211,"meta":212,"name":208,"navigation":15,"path":214,"photo":34,"role":34,"seo":215,"stem":216,"topic":34,"website":34,"__hash__":217},"faculty/faculty/astha-kapoor.json","Astha Kapoor","Aapti Institute","https://cms.thegovlab.com/assets/e6b4a35a-9c6b-4cca-a83f-ec6a030191cf","https://www.linkedin.com/in/astha-kapoor-020b4760/",{"slug":213},"astha-kapoor","/faculty/astha-kapoor",{},"faculty/astha-kapoor","1dBPf4BnttnxR4o4dPzmhz1cd59hs20Kcoz01SZiY50",{"id":219,"title":220,"affiliation":221,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":222,"legacy":15,"linkedin":223,"meta":224,"name":220,"navigation":15,"path":226,"photo":34,"role":34,"seo":227,"stem":228,"topic":34,"website":34,"__hash__":229},"faculty/faculty/audrey-tang.json","Audrey Tang","Ministry of Foreign Affairs, Taiwan","https://cms.thegovlab.com/assets/69c84800-8eba-4fc4-b536-4971a87729bb","https://www.linkedin.com/in/tangaudrey/",{"slug":225},"audrey-tang","/faculty/audrey-tang",{},"faculty/audrey-tang","guDc8SZ1teF85fU2ZpyjBo5kT7eFEi6aqz0KnMI3ZQc",{"id":231,"title":232,"affiliation":233,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":234,"legacy":15,"linkedin":235,"meta":236,"name":232,"navigation":15,"path":238,"photo":34,"role":34,"seo":239,"stem":240,"topic":34,"website":34,"__hash__":241},"faculty/faculty/bapu-vaitla.json","Bapu Vaitla","City of Davis & Data2X","https://cms.thegovlab.com/assets/55cfe9b5-222f-4521-8416-b6dca6f2969c","https://www.linkedin.com/in/bapu-vaitla-3389b94/",{"slug":237},"bapu-vaitla","/faculty/bapu-vaitla",{},"faculty/bapu-vaitla","xY4K5eu3CdK8TcDvRERRonurgCaRe7vfqME3ptSPXoQ",{"id":243,"title":244,"affiliation":245,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":246,"legacy":15,"linkedin":247,"meta":248,"name":244,"navigation":15,"path":250,"photo":34,"role":34,"seo":251,"stem":252,"topic":34,"website":34,"__hash__":253},"faculty/faculty/barbara-ubaldi.json","Barbara Ubaldi","Tony Blair Institute for Global Change","https://cms.thegovlab.com/assets/6a3cc3f2-b0d1-46d0-94fe-088d6607976f","https://www.linkedin.com/in/barbara-ubaldi-416146/",{"slug":249},"barbara-ubaldi","/faculty/barbara-ubaldi",{},"faculty/barbara-ubaldi","OqdWXuIUfhBjhmn9X4-G4P0L3YgggPM_hGvvy9C8Iho",{"id":255,"title":256,"affiliation":257,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":258,"legacy":15,"linkedin":259,"meta":260,"name":256,"navigation":15,"path":262,"photo":34,"role":34,"seo":263,"stem":264,"topic":34,"website":34,"__hash__":265},"faculty/faculty/bart-rousseau.json","Bart Rousseau","Digital Vlaanderen","https://cms.thegovlab.com/assets/1aa4a2bb-f3e7-4509-89e5-0605a0a92423","https://www.linkedin.com/in/bartrosseau/",{"slug":261},"bart-rousseau","/faculty/bart-rousseau",{},"faculty/bart-rousseau","FzXJOFe3JOVPVIw_CuvcAR_rOIaEScwzutzZ2svmUoI",{"id":267,"title":268,"affiliation":34,"bio":34,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":34,"legacy":47,"linkedin":34,"meta":269,"name":271,"navigation":15,"path":272,"photo":34,"role":34,"seo":273,"stem":274,"topic":34,"website":34,"__hash__":275},"faculty/faculty/begona-g-otero.json","Begona G Otero",{"slug":270},"begona-g-otero","Begoña G. Otero","/faculty/begona-g-otero",{},"faculty/begona-g-otero","DNXbH_tOdiKD7ZwTGOxuFF0bw3CYvI9DrIgLxq-n568",{"id":277,"title":278,"affiliation":279,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":280,"legacy":15,"linkedin":281,"meta":282,"name":278,"navigation":15,"path":284,"photo":34,"role":34,"seo":285,"stem":286,"topic":34,"website":34,"__hash__":287},"faculty/faculty/beth-simone-noveck.json","Beth Simone Noveck","The GovLab","https://cms.thegovlab.com/assets/23551dba-8ed6-4c63-afce-87981a8ff64a","https://www.linkedin.com/in/bethnoveck/",{"slug":283},"beth-simone-noveck","/faculty/beth-simone-noveck",{},"faculty/beth-simone-noveck","6IghHemMdnBpShvpGugaH1uOth9pTQjCfhNWVrNUH4M",{"id":289,"title":290,"affiliation":291,"bio":34,"body":34,"category":93,"cohort":292,"description":34,"expertise":34,"extension":46,"headshot":34,"image":293,"legacy":47,"linkedin":294,"meta":295,"name":290,"navigation":15,"path":297,"photo":34,"role":34,"seo":298,"stem":299,"topic":300,"website":34,"__hash__":301},"faculty/faculty/brennan-lake.json","Brennan Lake","Cuebiq","DS Academy 2020-2022, DS Turin 2024, DS Milan 2026","https://cms.thegovlab.com/assets/375b46a9-d73e-45e2-8211-fc97f7a417dc","https://www.linkedin.com/in/brennanlake/",{"slug":296},"brennan-lake","/faculty/brennan-lake",{},"faculty/brennan-lake","Reviewing requests for Data Access","ljwBssJsojb96muOKRyapU0H-kdIl7GjdfBne0ucMfE",{"id":303,"title":304,"affiliation":305,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":306,"legacy":15,"linkedin":307,"meta":308,"name":310,"navigation":15,"path":311,"photo":34,"role":34,"seo":312,"stem":313,"topic":34,"website":34,"__hash__":314},"faculty/faculty/brian-m-bot.json","Brian M Bot","Cancer AI Alliance","https://cms.thegovlab.com/assets/df5213b0-d7a1-441a-a3c0-c63d733e611e","https://www.linkedin.com/in/brianmbot/",{"slug":309},"brian-m-bot","Brian M. Bot","/faculty/brian-m-bot",{},"faculty/brian-m-bot","Cgn2MyjAKYiEwiOBaaxVcCF_WmABLijcHnBfL51rY5I",{"id":316,"title":317,"affiliation":318,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":319,"legacy":15,"linkedin":320,"meta":321,"name":323,"navigation":15,"path":324,"photo":34,"role":34,"seo":325,"stem":326,"topic":34,"website":34,"__hash__":327},"faculty/faculty/brittny-jade-saunders.json","Brittny Jade Saunders","Three Views Strategies","https://cms.thegovlab.com/assets/9f20cebf-4536-486d-910b-6d23538d29c9","https://www.linkedin.com/in/brittny-jade-saunders-90145012/",{"slug":322},"brittny-jade-saunders","Brittny-Jade Saunders","/faculty/brittny-jade-saunders",{},"faculty/brittny-jade-saunders","RZlxzgWqEwaR1IkA06OVYObaF-z4skDLVjfDhhBW_io",{"id":329,"title":330,"affiliation":331,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":332,"legacy":47,"linkedin":333,"meta":334,"name":330,"navigation":15,"path":336,"photo":34,"role":34,"seo":337,"stem":338,"topic":339,"website":34,"__hash__":340},"faculty/faculty/bruno-lepri.json","Bruno Lepri","DataPop Alliance, Bruno Kessler Foundation etc.","https://cms.thegovlab.com/assets/89512b64-f3da-4b96-a952-6c80c1f77859","https://www.linkedin.com/in/brunolepri/",{"slug":335},"bruno-lepri","/faculty/bruno-lepri",{},"faculty/bruno-lepri","The Use of Mobile Phone Data to Counter Crime in Bogota & Medellin","Ox2Zl_8PMglB9oxHDx7ZmfVMqwnmJqMRuotyG1vkqqA",{"id":342,"title":343,"affiliation":245,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":344,"legacy":15,"linkedin":345,"meta":346,"name":343,"navigation":15,"path":348,"photo":34,"role":34,"seo":349,"stem":350,"topic":34,"website":34,"__hash__":351},"faculty/faculty/carlos-ahumada.json","Carlos Ahumada","https://cms.thegovlab.com/assets/876748ee-18e2-460a-8196-0434e9d5623a","https://www.linkedin.com/in/carlos-ahumada/",{"slug":347},"carlos-ahumada","/faculty/carlos-ahumada",{},"faculty/carlos-ahumada","6Ie9waEs2Swx-3OZ3lcoQTIXm3bwlrW79p9FBby5aqE",{"id":353,"title":354,"affiliation":355,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":356,"legacy":15,"linkedin":357,"meta":358,"name":354,"navigation":15,"path":360,"photo":34,"role":34,"seo":361,"stem":362,"topic":34,"website":34,"__hash__":363},"faculty/faculty/casey-weston.json","Casey Weston","Linkedin","https://cms.thegovlab.com/assets/e0022956-a3cd-44d8-8b94-f82834158c0f","https://www.linkedin.com/in/casey-a-weston/",{"slug":359},"casey-weston","/faculty/casey-weston",{},"faculty/casey-weston","Fd1UWtMoq4pG-aiPm6uNge759slqpK8XvRraDG4R6eg",{"id":365,"title":366,"affiliation":367,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":369,"legacy":47,"linkedin":370,"meta":371,"name":366,"navigation":15,"path":373,"photo":34,"role":34,"seo":374,"stem":375,"topic":376,"website":34,"__hash__":377},"faculty/faculty/catherine-vogel.json","Catherine Vogel","GIZ Data Lab","DS Berlin 2024","https://cms.thegovlab.com/assets/8e3a84ec-3f9f-4f19-a86b-5001940f62d3","https://www.linkedin.com/in/catherine-vogel-7912125/",{"slug":372},"catherine-vogel","/faculty/catherine-vogel",{},"faculty/catherine-vogel","Data Feminism, Data-powered positive deviance and work of GIZ Data Lab","5DNhQAKoKnwK-xgLthYzP6ecmIWgpRGTIlOszVQMC-I",{"id":379,"title":380,"affiliation":381,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":383,"legacy":15,"linkedin":384,"meta":385,"name":387,"navigation":15,"path":388,"photo":34,"role":34,"seo":389,"stem":390,"topic":391,"website":34,"__hash__":392},"faculty/faculty/charlotte-van-ooijen-falce.json","Charlotte Van Ooijen Falce","Liip and Opendata.ch","DS Switzerland 2025","https://cms.thegovlab.com/assets/56898839-261a-4e83-8df4-69a3a03e4947","https://www.linkedin.com/in/cwvanooijen/",{"slug":386},"charlotte-van-ooijen-falce","Charlotte van Ooijen Falce","/faculty/charlotte-van-ooijen-falce",{},"faculty/charlotte-van-ooijen-falce","Metadata. Who cares?","mbfnk738rb3g7JoPDcn3BQZXJ1OErQB87LWxLvQZ_bY",{"id":394,"title":395,"affiliation":396,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":397,"legacy":47,"linkedin":398,"meta":399,"name":395,"navigation":15,"path":401,"photo":34,"role":34,"seo":402,"stem":403,"topic":404,"website":34,"__hash__":405},"faculty/faculty/christian-gutknecht.json","Christian Gutknecht","Opendata.ch","https://cms.thegovlab.com/assets/c40cc61f-b6f6-4df5-8a31-031aaf7c2d6c","https://www.linkedin.com/in/christiangutknecht/",{"slug":400},"christian-gutknecht","/faculty/christian-gutknecht",{},"faculty/christian-gutknecht","Open parliamentary data for more transparency, innovation and participation","Nk3jDWbnP7w95gbNpSYxLFnZu30IUOYPzPuaNtD-wdg",{"id":407,"title":408,"affiliation":409,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":410,"legacy":47,"linkedin":411,"meta":412,"name":408,"navigation":15,"path":414,"photo":34,"role":34,"seo":415,"stem":416,"topic":417,"website":34,"__hash__":418},"faculty/faculty/christian-racca.json","Christian Racca","Quattrolinee / Codesome","https://cms.thegovlab.com/assets/83da1093-15de-488a-9c54-b93ce24520c3","https://www.linkedin.com/in/christianracca/",{"slug":413},"christian-racca","/faculty/christian-racca",{},"faculty/christian-racca","TOP-IX Consortium experiences on Data Spaces & Impact Deal","rW1zeY5VkOgbYWA0VpXM-MqGV6Jh4PsZzGZMK7Cm-_c",{"id":420,"title":421,"affiliation":422,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":423,"legacy":47,"linkedin":424,"meta":425,"name":421,"navigation":15,"path":427,"photo":34,"role":34,"seo":428,"stem":429,"topic":430,"website":34,"__hash__":431},"faculty/faculty/christina-willems.json","Christina Willems","Open Knowledge Foundation in Germany","https://cms.thegovlab.com/assets/d0aa6da7-ac81-4686-aa3e-fcda47c3719d","https://www.linkedin.com/in/christina-willems-b80033172/",{"slug":426},"christina-willems","/faculty/christina-willems",{},"faculty/christina-willems","Open Knowledge Foundation work in Germany","SrRqPpwQtBVwXGSjsaXpP_kBH5hcm5TGyFY9UWWcq68",{"id":433,"title":434,"affiliation":435,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":436,"legacy":47,"linkedin":437,"meta":438,"name":434,"navigation":15,"path":440,"photo":34,"role":34,"seo":441,"stem":442,"topic":443,"website":34,"__hash__":444},"faculty/faculty/christine-najar.json","Christine Najar","Federal Office of Topography swisstopo","https://cms.thegovlab.com/assets/38518b9c-d091-4aeb-aff4-0e342a571189","https://www.linkedin.com/in/christine-najar-6062431/",{"slug":439},"christine-najar","/faculty/christine-najar",{},"faculty/christine-najar","Using Geodata for Public Value","4PqLTG_jufTb1626d7eJ__QilJ5GElpfHjSRUrwkU_U",{"id":446,"title":447,"affiliation":448,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":449,"legacy":47,"linkedin":450,"meta":451,"name":447,"navigation":15,"path":453,"photo":34,"role":34,"seo":454,"stem":455,"topic":456,"website":34,"__hash__":457},"faculty/faculty/christoph-inhelder.json","Christoph Inhelder","Sitios","https://cms.thegovlab.com/assets/5156428d-e245-4eb6-a932-880bd6a2cf13","https://www.linkedin.com/in/christoph-inhelder/",{"slug":452},"christoph-inhelder","/faculty/christoph-inhelder",{},"faculty/christoph-inhelder","Accessibility Data","pcigfh7aaDNJzqDmxdpiVjYQNk8uJbMijp_QJEB8sbs",{"id":459,"title":460,"affiliation":34,"bio":34,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":34,"legacy":47,"linkedin":34,"meta":461,"name":460,"navigation":15,"path":463,"photo":34,"role":34,"seo":464,"stem":465,"topic":34,"website":34,"__hash__":466},"faculty/faculty/christopher-rosselot.json","Christopher Rosselot",{"slug":462},"christopher-rosselot","/faculty/christopher-rosselot",{},"faculty/christopher-rosselot","WWhSbDCVkdkA5t4uvpHrobwWXAW5ZXiQdvdvp5Aiik8",{"id":468,"title":469,"affiliation":470,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":471,"legacy":47,"linkedin":472,"meta":473,"name":469,"navigation":15,"path":475,"photo":34,"role":34,"seo":476,"stem":477,"topic":478,"website":34,"__hash__":479},"faculty/faculty/ciro-cattuto.json","Ciro Cattuto","ISI Foundation","https://cms.thegovlab.com/assets/6e6898f7-93ad-4da8-b5b6-325c36c3fdd6","https://www.linkedin.com/in/ccattuto/",{"slug":474},"ciro-cattuto","/faculty/ciro-cattuto",{},"faculty/ciro-cattuto","The Nexus of Technology & Social Interaction","C00stLvXlSdmh7clthjjDzmFDuq-TYTEVp_xm9U11XE",{"id":481,"title":482,"affiliation":483,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":484,"legacy":15,"linkedin":485,"meta":486,"name":482,"navigation":15,"path":488,"photo":34,"role":34,"seo":489,"stem":490,"topic":34,"website":34,"__hash__":491},"faculty/faculty/claudia-juech.json","Claudia Juech","Bloomberg Philanthropies","https://cms.thegovlab.com/assets/c1f796b3-a1ce-4cbe-b920-fe3d3219012b","https://www.linkedin.com/in/claudia-juech-a2560a/",{"slug":487},"claudia-juech","/faculty/claudia-juech",{},"faculty/claudia-juech","ntmx3YqT3jJPlkWHOGHAG8tbFxYoJlQwi1EbwKyc9X4",{"id":493,"title":494,"affiliation":495,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":496,"legacy":15,"linkedin":497,"meta":498,"name":494,"navigation":15,"path":500,"photo":34,"role":34,"seo":501,"stem":502,"topic":34,"website":34,"__hash__":503},"faculty/faculty/craig-jones.json","Craig Jones","Te Puni Kōkiri","https://cms.thegovlab.com/assets/d69c634a-f759-4c2d-a614-f947f4ba1b76","https://www.linkedin.com/in/craig-jones-b1621234/",{"slug":499},"craig-jones","/faculty/craig-jones",{},"faculty/craig-jones","C7_8MTbBkOESWePjVWzU0Hf-9GnEKD3jJgkyPOViilw",{"id":505,"title":506,"affiliation":507,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":508,"legacy":47,"linkedin":509,"meta":510,"name":506,"navigation":15,"path":512,"photo":34,"role":34,"seo":513,"stem":514,"topic":515,"website":34,"__hash__":516},"faculty/faculty/dana-mazia.json","Dana Mazia","Bright Data Initiative powered by Bright Data","https://cms.thegovlab.com/assets/3f1a9b08-98b9-4691-a10e-78a4c8d9a5c3","https://www.linkedin.com/in/dana-mazia/",{"slug":511},"dana-mazia","/faculty/dana-mazia",{},"faculty/dana-mazia","Web Scraping for Public Good and work of Bright Data Initiative","7a-f-TktHUf5sDmZo4QGH8tQLT7Kf9bHc1HNlTTnxuY",{"id":518,"title":519,"affiliation":470,"bio":34,"body":34,"category":93,"cohort":520,"description":34,"expertise":34,"extension":46,"headshot":34,"image":521,"legacy":15,"linkedin":522,"meta":523,"name":519,"navigation":15,"path":525,"photo":34,"role":34,"seo":526,"stem":527,"topic":528,"website":34,"__hash__":529},"faculty/faculty/daniela-paolotti.json","Daniela Paolotti","DS Milan 2026","https://cms.thegovlab.com/assets/868e6f56-1d08-4474-92e7-f98409b82a21","https://www.linkedin.com/in/daniela-paolotti-8948661/",{"slug":524},"daniela-paolotti","/faculty/daniela-paolotti",{},"faculty/daniela-paolotti","Data Needs and Data Re-Use for the Public Good","yroV5f3JikKP5RQEQT-XTh74a-o6uhMNOi3pdHi0Gr8",{"id":531,"title":532,"affiliation":533,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":534,"legacy":15,"linkedin":535,"meta":536,"name":532,"navigation":15,"path":538,"photo":34,"role":34,"seo":539,"stem":540,"topic":34,"website":34,"__hash__":541},"faculty/faculty/dave-gottesman.json","Dave Gottesman","City of Rockville, MD","https://cms.thegovlab.com/assets/60dc6555-c769-4132-a247-ac0f0b99def2","https://www.linkedin.com/in/davidgottesman/",{"slug":537},"dave-gottesman","/faculty/dave-gottesman",{},"faculty/dave-gottesman","x8buVVCEtAhJy5wLMJm830CyPyhdp--WyiFkjA5gdrA",{"id":543,"title":544,"affiliation":422,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":545,"legacy":47,"linkedin":546,"meta":547,"name":549,"navigation":15,"path":550,"photo":34,"role":34,"seo":551,"stem":552,"topic":430,"website":34,"__hash__":553},"faculty/faculty/denes-jager.json","Denes Jager","https://cms.thegovlab.com/assets/109985fc-72fe-4882-b996-a2d22311be86","https://www.linkedin.com/in/d%C3%A9nes-j%C3%A4ger-349a34259/",{"slug":548},"denes-jager","Dénes Jäger","/faculty/denes-jager",{},"faculty/denes-jager","fSEPeqhsWcJhQFrkNPybQ8n-hvDVIR3sgB244FBA8dU",{"id":555,"title":556,"affiliation":557,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":558,"legacy":15,"linkedin":559,"meta":560,"name":556,"navigation":15,"path":562,"photo":34,"role":34,"seo":563,"stem":564,"topic":34,"website":34,"__hash__":565},"faculty/faculty/douwe-lycklama.json","Douwe Lycklama","Innopay","https://cms.thegovlab.com/assets/c674e546-218c-4dec-8223-c90d7b498993","https://www.linkedin.com/in/douwel/",{"slug":561},"douwe-lycklama","/faculty/douwe-lycklama",{},"faculty/douwe-lycklama","h8yUtuiQpvY6-YjD9KmVjWh1dDBu6sb7tDlT-P3s8Wk",{"id":567,"title":568,"affiliation":34,"bio":569,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":570,"legacy":47,"linkedin":571,"meta":572,"name":568,"navigation":15,"path":574,"photo":34,"role":34,"seo":575,"stem":576,"topic":34,"website":34,"__hash__":577},"faculty/faculty/dr-emma-blomkamp.json","Dr Emma Blomkamp","\u003Cp>Dr Emma Blomkamp is an internationally respected expert in co-design and public sector innovation, with a track record of delivering engaging and impactful capability building programs.\u003C/p>\n\u003Cp>Emma led several award-winning strategic design and social innovation projects with public purpose organisations in Australia and New Zealand before launching her own business to support others to build their capabilities.\u003C/p>\n\u003Cp>Director of New Know How, a small social business specialising in training people in co-design practices, she has a PhD in community wellbeing and local government, and is also an Honorary Fellow at The University of Melbourne.\u003C/p>","https://cms.thegovlab.com/assets/c524e476-f373-4735-bb68-8a47cdd8c5c8","https://www.linkedin.com/in/emmablomkamp/",{"slug":573},"dr-emma-blomkamp","/faculty/dr-emma-blomkamp",{},"faculty/dr-emma-blomkamp","5ec_z0PjmKBilFQNXaCA5geFhk5wfDh_Ios7eQ7gXj0",{"id":579,"title":580,"affiliation":581,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":582,"legacy":15,"linkedin":583,"meta":584,"name":586,"navigation":15,"path":587,"photo":34,"role":34,"seo":588,"stem":589,"topic":34,"website":34,"__hash__":590},"faculty/faculty/dr-kenji-takeda.json","Dr Kenji Takeda","Microsoft","https://cms.thegovlab.com/assets/77f14e12-b090-4047-985e-b563208819d5","https://www.linkedin.com/in/kenji-takeda-455ba2/",{"slug":585},"dr-kenji-takeda","Dr. Kenji Takeda","/faculty/dr-kenji-takeda",{},"faculty/dr-kenji-takeda","o3DzoklV8JrB0tVqUvGtWcKn3PW44ROyr5zFeegYFAA",{"id":592,"title":593,"affiliation":594,"bio":34,"body":34,"category":93,"cohort":520,"description":34,"expertise":34,"extension":46,"headshot":34,"image":595,"legacy":15,"linkedin":596,"meta":597,"name":593,"navigation":15,"path":599,"photo":34,"role":34,"seo":600,"stem":601,"topic":602,"website":34,"__hash__":603},"faculty/faculty/emily-rempel.json","Emily Rempel","Liverpool City Region Civic Data Cooperative","https://cms.thegovlab.com/assets/f8aa2417-70fb-48e3-845a-bd9e5d705cc1","https://www.linkedin.com/in/emily-rempel/",{"slug":598},"emily-rempel","/faculty/emily-rempel",{},"faculty/emily-rempel","Challenges of developing new models for civic data stewardship for the Liverpool City Region","fhu83I2takxPUOCOw1laLqOscEp6H0tXU7XdMieDnqk",{"id":605,"title":606,"affiliation":607,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":608,"legacy":15,"linkedin":609,"meta":610,"name":606,"navigation":15,"path":612,"photo":34,"role":34,"seo":613,"stem":614,"topic":34,"website":34,"__hash__":615},"faculty/faculty/fanny-weicherding.json","Fanny Weicherding","Tony's Chocolonely","https://cms.thegovlab.com/assets/6e6fac6e-db31-4b03-aa0d-f03da6e56e24","https://www.linkedin.com/in/fanny-weicherding-548221149/",{"slug":611},"fanny-weicherding","/faculty/fanny-weicherding",{},"faculty/fanny-weicherding","k012pu68WCaek5zEEoaJOAFN7DwOsO852juP_MJ-AMo",{"id":617,"title":618,"affiliation":619,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":620,"legacy":47,"linkedin":621,"meta":622,"name":618,"navigation":15,"path":624,"photo":34,"role":34,"seo":625,"stem":626,"topic":404,"website":34,"__hash__":627},"faculty/faculty/florin-hasler.json","Florin Hasler","Bern University of Applied Sciences","https://cms.thegovlab.com/assets/e88541f3-b885-41c1-a1c7-fcf1b4cafb50","https://www.linkedin.com/in/florin-hasler/",{"slug":623},"florin-hasler","/faculty/florin-hasler",{},"faculty/florin-hasler","RcVZmAt1L9EOUhi42Uvt_v-KdvRB8uCiK9zEX0Q5DF4",{"id":629,"title":630,"affiliation":631,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":632,"legacy":15,"linkedin":633,"meta":634,"name":636,"navigation":15,"path":637,"photo":34,"role":34,"seo":638,"stem":639,"topic":34,"website":34,"__hash__":640},"faculty/faculty/gabriella-gomez-mont.json","Gabriella Gomez Mont","Experimentalista","https://cms.thegovlab.com/assets/3edc6498-a39c-4d14-8afb-63d069a62f41","https://www.linkedin.com/in/gabriella-gomez-mont-1186a417b/",{"slug":635},"gabriella-gomez-mont","Gabriella Gómez-Mont","/faculty/gabriella-gomez-mont",{},"faculty/gabriella-gomez-mont","lNqJu_G6MlhIp4TCz4IS0e2UvwDScHgNnLudWS_SHxA",{"id":642,"title":643,"affiliation":594,"bio":34,"body":34,"category":93,"cohort":520,"description":34,"expertise":34,"extension":46,"headshot":34,"image":644,"legacy":15,"linkedin":645,"meta":646,"name":643,"navigation":15,"path":648,"photo":34,"role":34,"seo":649,"stem":650,"topic":602,"website":34,"__hash__":651},"faculty/faculty/gary-leeming.json","Gary Leeming","https://cms.thegovlab.com/assets/6fd34b99-b35f-464b-9164-a4770544b085","https://www.linkedin.com/in/gary-leeming-43011411/",{"slug":647},"gary-leeming","/faculty/gary-leeming",{},"faculty/gary-leeming","cFP9W1ECuSro5vuMHyYGcsb-UEtxeQw_ibn_XB3hCO4",{"id":653,"title":654,"affiliation":355,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":655,"legacy":15,"linkedin":656,"meta":657,"name":654,"navigation":15,"path":659,"photo":34,"role":34,"seo":660,"stem":661,"topic":34,"website":34,"__hash__":662},"faculty/faculty/gerome-miklau.json","Gerome Miklau","https://cms.thegovlab.com/assets/66e7d3d7-2400-4ae5-b581-587570e80a0c","https://www.linkedin.com/in/gerome-miklau/",{"slug":658},"gerome-miklau","/faculty/gerome-miklau",{},"faculty/gerome-miklau","xNnfX1qOWaQYaGir-Epuh0se3uRMA54f4SOosbgOn6o",{"id":664,"title":665,"affiliation":666,"bio":34,"body":34,"category":93,"cohort":667,"description":34,"expertise":34,"extension":46,"headshot":34,"image":668,"legacy":15,"linkedin":669,"meta":670,"name":665,"navigation":15,"path":672,"photo":34,"role":34,"seo":673,"stem":674,"topic":675,"website":34,"__hash__":676},"faculty/faculty/gianfranco-cecconi.json","Gianfranco Cecconi","Capgemini","DS Berlin 2025","https://cms.thegovlab.com/assets/9f19490a-f5e1-4cc5-a310-bfa3425f91b9","https://www.linkedin.com/in/giacecco/",{"slug":671},"gianfranco-cecconi","/faculty/gianfranco-cecconi",{},"faculty/gianfranco-cecconi","Data Spaces","Do5zwCCOVQsvtfVvc9poe2jtbUqLq5Xt5SbZCky_w0k",{"id":678,"title":679,"affiliation":680,"bio":34,"body":34,"category":93,"cohort":520,"description":34,"expertise":34,"extension":46,"headshot":34,"image":681,"legacy":15,"linkedin":682,"meta":683,"name":679,"navigation":15,"path":685,"photo":34,"role":34,"seo":686,"stem":687,"topic":688,"website":34,"__hash__":689},"faculty/faculty/gianluca-misuraca.json","Gianluca Misuraca","Inspiring Futures Europe","https://cms.thegovlab.com/assets/e37bc1d4-7ac2-4a88-a800-25a9e6592724","https://www.linkedin.com/in/gianluca-misuraca-4a04a61/",{"slug":684},"gianluca-misuraca","/faculty/gianluca-misuraca",{},"faculty/gianluca-misuraca","AI & Data: A European Policy perspective","NmsGKSkS8dKa2qlvgnRcWdag5Mw2KLj9fvu87_KSXe8",{"id":691,"title":692,"affiliation":693,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":694,"legacy":15,"linkedin":695,"meta":696,"name":692,"navigation":15,"path":698,"photo":34,"role":699,"seo":700,"stem":701,"topic":702,"website":34,"__hash__":703},"faculty/faculty/gianluca-sgueo.json","Gianluca Sgueo","SciencesPo","https://cms.thegovlab.com/assets/0d6b5eb9-c552-41f4-bb86-fbb5d165734c","https://www.linkedin.com/in/gianlucasgueo/",{"slug":697},"gianluca-sgueo","/faculty/gianluca-sgueo","Professor",{},"faculty/gianluca-sgueo","Data governance in the Digital Transformation Agenda Italy","zDE6Hyfi0cIMrhUTyRKFGDs5OcYqjDGCrJ0Go-twMDo",{"id":705,"title":706,"affiliation":581,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":707,"legacy":15,"linkedin":708,"meta":709,"name":706,"navigation":15,"path":711,"photo":34,"role":34,"seo":712,"stem":713,"topic":34,"website":34,"__hash__":714},"faculty/faculty/gretchen-deo.json","Gretchen Deo","https://cms.thegovlab.com/assets/c1d5103f-983e-40a0-bac4-7cfd0149a4a4","https://www.linkedin.com/in/gretchen-deo-762542a5/",{"slug":710},"gretchen-deo","/faculty/gretchen-deo",{},"faculty/gretchen-deo","FBrqwvUcTlf0qB_S3gUcLk1HRq5El7ABN5AI8hikabc",{"id":716,"title":717,"affiliation":718,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":719,"legacy":47,"linkedin":720,"meta":721,"name":717,"navigation":15,"path":723,"photo":34,"role":34,"seo":724,"stem":725,"topic":726,"website":34,"__hash__":727},"faculty/faculty/gunda-ehmke.json","Gunda Ehmke","FFO Data Innovation Lab","https://cms.thegovlab.com/assets/cd58c073-7213-4f80-8ec7-632497c89830","https://www.linkedin.com/in/gunda-ehmke-662a60188/",{"slug":722},"gunda-ehmke","/faculty/gunda-ehmke",{},"faculty/gunda-ehmke","Work of the Federal Foreign Office & Data Innovation Lab","EipSVotJJCPnGUFU2uCebjmr3aUii0niDAj1U7_OFf8",{"id":729,"title":730,"affiliation":34,"bio":731,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":732,"legacy":47,"linkedin":34,"meta":733,"name":730,"navigation":15,"path":735,"photo":34,"role":71,"seo":736,"stem":737,"topic":34,"website":34,"__hash__":738},"faculty/faculty/hannah-chafetz.json","Hannah Chafetz","Hannah Chafetz is a Research Fellow at The GovLab. At The GovLab she has worked on a range of projects focused on how data can be used to improve societal health and wellbeing. She holds a Master of Design in Strategic Foresight and Innovation from the Ontario College of Art and Design University (OCAD U) and a Bachelor of Commerce (Honors) from Queen’s University in Canada. She presented her graduate project on Open Government Data in Canada’s Cities at the Sixteenth International Conference on Design Principles and Practices. While at OCAD U, she was a Foresight Analyst at Policy Horizons Canada, a foresight organization within the Government of Canada, and a design thinking Teaching Assistant.","https://cms.thegovlab.com/assets/5ebd4913-7c58-43ec-90fe-ea2b28571558",{"slug":734},"hannah-chafetz","/faculty/hannah-chafetz",{},"faculty/hannah-chafetz","h9Bs8t5bgvvAlUj51NudsMk5JMf0IzaJzLVqvM4u_zg",{"id":740,"title":741,"affiliation":742,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":743,"legacy":47,"linkedin":744,"meta":745,"name":747,"navigation":15,"path":748,"photo":34,"role":34,"seo":749,"stem":750,"topic":726,"website":34,"__hash__":751},"faculty/faculty/hans-christian-mangelsdorf.json","Hans Christian Mangelsdorf","Federal Foreign Office Germany","https://cms.thegovlab.com/assets/883ac5dc-d5c5-4b08-b75a-b8b112c8dbc8","https://www.linkedin.com/in/hans-christian-mangelsdorfgelsdorf-4390a391/",{"slug":746},"hans-christian-mangelsdorf","Hans-Christian Mangelsdorf","/faculty/hans-christian-mangelsdorf",{},"faculty/hans-christian-mangelsdorf","mYgRWkexbZfSK_mMuYsMwnhL6KLq9CCe91EezVujkQg",{"id":753,"title":754,"affiliation":755,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":756,"legacy":15,"linkedin":757,"meta":758,"name":754,"navigation":15,"path":760,"photo":34,"role":34,"seo":761,"stem":762,"topic":34,"website":34,"__hash__":763},"faculty/faculty/inder-gopal.json","Inder Gopal","Centre of Data for Public Good","https://cms.thegovlab.com/assets/cea6d283-6b4d-43bb-88bd-11c9ab8c3465","https://www.linkedin.com/in/inder-gopal-57a967/",{"slug":759},"inder-gopal","/faculty/inder-gopal",{},"faculty/inder-gopal","jto82WtUE2KCvGur15ymmbI1u32HcHfvOlfWufKYfJ4",{"id":765,"title":766,"affiliation":767,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":768,"legacy":15,"linkedin":769,"meta":770,"name":766,"navigation":15,"path":772,"photo":34,"role":34,"seo":773,"stem":774,"topic":34,"website":34,"__hash__":775},"faculty/faculty/jacqueline-lu.json","Jacqueline Lu","Helpful Places","https://cms.thegovlab.com/assets/73e6e75d-0889-4806-a70b-34ea3165d28f","https://www.linkedin.com/in/jackiewtlu/",{"slug":771},"jacqueline-lu","/faculty/jacqueline-lu",{},"faculty/jacqueline-lu","VjD3RKxa8fl6EFjn66Un2uZ8qGTB6oWe6KOpFJXpS5w",{"id":777,"title":778,"affiliation":779,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":780,"legacy":15,"linkedin":781,"meta":782,"name":778,"navigation":15,"path":784,"photo":34,"role":34,"seo":785,"stem":786,"topic":34,"website":34,"__hash__":787},"faculty/faculty/jaimie-boyd.json","Jaimie Boyd","Deloitte","https://cms.thegovlab.com/assets/65b17a6d-d49f-4942-b5fd-67cc4cb07e55","https://www.linkedin.com/in/jaimieboyd/",{"slug":783},"jaimie-boyd","/faculty/jaimie-boyd",{},"faculty/jaimie-boyd","tqYBlGl6qQhLV__52ZAlexhhRM_5GV4Mqhg-JOeW8fo",{"id":789,"title":790,"affiliation":791,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":792,"legacy":15,"linkedin":793,"meta":794,"name":796,"navigation":15,"path":797,"photo":34,"role":34,"seo":798,"stem":799,"topic":34,"website":34,"__hash__":800},"faculty/faculty/jean-noe-landry.json","Jean Noe Landry","L'Institut de la Résilience et de l'innovation Urbaine","https://cms.thegovlab.com/assets/45f9f9cb-c7ea-434c-828d-612c07a32411","https://www.linkedin.com/in/jeannoelandry/",{"slug":795},"jean-noe-landry","Jean-Noé Landry","/faculty/jean-noe-landry",{},"faculty/jean-noe-landry","ArjPVz4A7-gtymnBfSmrggdJrZZ2_x6bazxakSisKjc",{"id":802,"title":803,"affiliation":804,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":805,"legacy":15,"linkedin":806,"meta":807,"name":803,"navigation":15,"path":809,"photo":34,"role":34,"seo":810,"stem":811,"topic":34,"website":34,"__hash__":812},"faculty/faculty/jessica-espey.json","Jessica Espey","University of Southampton","https://cms.thegovlab.com/assets/4f3e48af-bac3-44f0-af12-27b9581f216b","https://www.linkedin.com/in/jessica-espey-a6178b42/",{"slug":808},"jessica-espey","/faculty/jessica-espey",{},"faculty/jessica-espey","hQYopY7bgVGfvlqvV8qENNGg-uubh5SfiuQht6xT-cs",{"id":814,"title":815,"affiliation":816,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":817,"legacy":15,"linkedin":818,"meta":819,"name":815,"navigation":15,"path":821,"photo":34,"role":34,"seo":822,"stem":823,"topic":34,"website":34,"__hash__":824},"faculty/faculty/jessica-summers.json","Jessica Summers","United Nations High Commissioner for Human Rights","https://cms.thegovlab.com/assets/8d416366-9196-4e33-b4f5-0a02b32045a6","https://www.linkedin.com/in/jessicaannesummers/",{"slug":820},"jessica-summers","/faculty/jessica-summers",{},"faculty/jessica-summers","-MUvZBvgupEw1FsA6-P_h-IRT1XQpLRbhaUs_A2K-3Q",{"id":826,"title":827,"affiliation":828,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":829,"legacy":47,"linkedin":830,"meta":831,"name":833,"navigation":15,"path":834,"photo":34,"role":34,"seo":835,"stem":836,"topic":837,"website":34,"__hash__":838},"faculty/faculty/joann-stonier.json","Joann Stonier","Mastercard","https://cms.thegovlab.com/assets/d27216a3-7674-4b0d-ad97-d8e642ef320f","https://www.linkedin.com/in/joann-stonier-5540b86/",{"slug":832},"joann-stonier","JoAnn Stonier","/faculty/joann-stonier",{},"faculty/joann-stonier","Mastercard Data Philanthropy","hXAFuwFQ6IVVOe6TrDi_WPHdMOMhkt1dC3udGT_sW_A",{"id":840,"title":841,"affiliation":842,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":843,"legacy":47,"linkedin":844,"meta":845,"name":841,"navigation":15,"path":847,"photo":34,"role":34,"seo":848,"stem":849,"topic":850,"website":34,"__hash__":851},"faculty/faculty/jochem-braakhekke.json","Jochem Braakhekke","University of Zürich (Swiss National Point of Contact for satellite data (NPOC))","https://cms.thegovlab.com/assets/cc54d624-cb44-4b07-b9bd-1e7067be2853","https://www.linkedin.com/in/jochem-braakhekke/",{"slug":846},"jochem-braakhekke","/faculty/jochem-braakhekke",{},"faculty/jochem-braakhekke","Earth Observation Satellite Data Availability and reuse","bIX4fayYhLj53FcshRWPR-uYgxrnwWL1zqg-urcg9wg",{"id":853,"title":854,"affiliation":855,"bio":34,"body":34,"category":93,"cohort":667,"description":34,"expertise":34,"extension":46,"headshot":34,"image":856,"legacy":47,"linkedin":857,"meta":858,"name":854,"navigation":15,"path":860,"photo":34,"role":34,"seo":861,"stem":862,"topic":863,"website":34,"__hash__":864},"faculty/faculty/johannes-jacob.json","Johannes Jacob","GIZ","https://cms.thegovlab.com/assets/dfe81732-8389-42ae-bf74-8969ea0bf33e","https://www.linkedin.com/in/johannesjacob/",{"slug":859},"johannes-jacob","/faculty/johannes-jacob",{},"faculty/johannes-jacob","Data to Policy Navigator","taPQshd6IVnt59PfJtgngL7yfS1BQati68cPb9VGBZ8",{"id":866,"title":867,"affiliation":868,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":869,"legacy":15,"linkedin":870,"meta":871,"name":867,"navigation":15,"path":873,"photo":34,"role":34,"seo":874,"stem":875,"topic":34,"website":34,"__hash__":876},"faculty/faculty/john-wilbanks.json","John Wilbanks","Unaffiliated","https://cms.thegovlab.com/assets/800788a7-2c1a-4f2e-b7c5-01a069477502","https://www.linkedin.com/in/johnwilbanks/",{"slug":872},"john-wilbanks","/faculty/john-wilbanks",{},"faculty/john-wilbanks","yOndD-qNQGQRa68n7zwYza2N6tFxF65qcEPD51HMTO4",{"id":878,"title":879,"affiliation":880,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":881,"legacy":15,"linkedin":882,"meta":883,"name":879,"navigation":15,"path":885,"photo":34,"role":34,"seo":886,"stem":887,"topic":34,"website":34,"__hash__":888},"faculty/faculty/jos-berens.json","Jos Berens","United Nations OCHA","https://cms.thegovlab.com/assets/105faf1f-62cd-42f0-ba98-7d3e081e8c91","https://www.linkedin.com/in/josb/",{"slug":884},"jos-berens","/faculty/jos-berens",{},"faculty/jos-berens","Q8A4yJ_1GXqg5btabK9sNfPp-NaMatS9QPAHHNej_QE",{"id":890,"title":891,"affiliation":581,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":892,"legacy":15,"linkedin":893,"meta":894,"name":896,"navigation":15,"path":897,"photo":34,"role":34,"seo":898,"stem":899,"topic":34,"website":34,"__hash__":900},"faculty/faculty/juan-m-lavista-ferres.json","Juan M Lavista Ferres","https://cms.thegovlab.com/assets/af6b99bd-7a20-4e0a-9530-78f908566be0","https://www.linkedin.com/in/jlavista/",{"slug":895},"juan-m-lavista-ferres","Juan M. Lavista Ferres","/faculty/juan-m-lavista-ferres",{},"faculty/juan-m-lavista-ferres","t4FN3F5sbRpjF5ZwHeXYoI2uogoh4ZPk-P9GwyRTYco",{"id":902,"title":903,"affiliation":581,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":904,"legacy":15,"linkedin":905,"meta":906,"name":908,"navigation":15,"path":909,"photo":34,"role":34,"seo":910,"stem":911,"topic":34,"website":34,"__hash__":912},"faculty/faculty/jule-l-sigall.json","Jule L Sigall","https://cms.thegovlab.com/assets/bd5996c7-3f07-48e6-8a29-2d0b9f09afdf","https://www.linkedin.com/in/jule-sigall/",{"slug":907},"jule-l-sigall","Jule L. Sigall","/faculty/jule-l-sigall",{},"faculty/jule-l-sigall","gEGKYeaD-mkqn2DZrIZaIbGWQOPu45YxqsJBubT7PSM",{"id":914,"title":915,"affiliation":916,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":917,"legacy":15,"linkedin":918,"meta":919,"name":915,"navigation":15,"path":921,"photo":34,"role":34,"seo":922,"stem":923,"topic":34,"website":34,"__hash__":924},"faculty/faculty/julia-stoyanovich.json","Julia Stoyanovich","New York University","https://cms.thegovlab.com/assets/e8770782-607b-4f62-8076-7980c7a7173f","https://www.linkedin.com/in/julia-stoyanovich-b184851/",{"slug":920},"julia-stoyanovich","/faculty/julia-stoyanovich",{},"faculty/julia-stoyanovich","Gw1KbXq3FyB0quxq7VTlz_EgLKDJlJrlDiEl2LQ0J0c",{"id":926,"title":927,"affiliation":928,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":929,"legacy":15,"linkedin":930,"meta":931,"name":927,"navigation":15,"path":933,"photo":34,"role":34,"seo":934,"stem":935,"topic":34,"website":34,"__hash__":936},"faculty/faculty/kersten-jauer.json","Kersten Jauer","United Nations","https://cms.thegovlab.com/assets/16a68a19-f6aa-4e97-ab35-a740165ae2c6","https://www.linkedin.com/in/kerstenjauer/",{"slug":932},"kersten-jauer","/faculty/kersten-jauer",{},"faculty/kersten-jauer","mTFgtONGdyvshhRSvT0Mg-J8GmUOIunuSKxhbz9BK_Y",{"id":938,"title":939,"affiliation":940,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":941,"legacy":15,"linkedin":942,"meta":943,"name":939,"navigation":15,"path":945,"photo":34,"role":34,"seo":946,"stem":947,"topic":34,"website":34,"__hash__":948},"faculty/faculty/kisha-bwenge.json","Kisha Bwenge","Charlottesville Area Community Foundations","https://cms.thegovlab.com/assets/d19d7fda-92d6-4f8d-8ce0-2dd3c1fb76d7","https://www.linkedin.com/in/viviankishabwenge/",{"slug":944},"kisha-bwenge","/faculty/kisha-bwenge",{},"faculty/kisha-bwenge","LwOUsiKNBy1L-OpPd3pY-jmyxicCYIlEu50zlDyli7Y",{"id":950,"title":951,"affiliation":952,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":953,"legacy":15,"linkedin":954,"meta":955,"name":951,"navigation":15,"path":957,"photo":34,"role":34,"seo":958,"stem":959,"topic":34,"website":34,"__hash__":960},"faculty/faculty/krishna-sood.json","Krishna Sood","Black Forest Labs","https://cms.thegovlab.com/assets/9e77bd5c-c6c1-4c2f-a4d9-c4090b3afe85","https://www.linkedin.com/in/krishnasood/",{"slug":956},"krishna-sood","/faculty/krishna-sood",{},"faculty/krishna-sood","opraoQU0aFXNDlQSfuBwOR_Ojbg955KK5UkNt-nvVE4",{"id":962,"title":963,"affiliation":964,"bio":34,"body":34,"category":93,"cohort":108,"description":34,"expertise":34,"extension":46,"headshot":34,"image":965,"legacy":47,"linkedin":966,"meta":967,"name":963,"navigation":15,"path":969,"photo":34,"role":34,"seo":970,"stem":971,"topic":972,"website":34,"__hash__":973},"faculty/faculty/leonardo-camiciotti.json","Leonardo Camiciotti","TopIX Consortium","https://cms.thegovlab.com/assets/1b7ebb7b-5143-4902-88bb-a70fbf8c3ae1","https://www.linkedin.com/in/leocami/",{"slug":968},"leonardo-camiciotti","/faculty/leonardo-camiciotti",{},"faculty/leonardo-camiciotti","Top IX Consortium on Data Spaces & Impact Deal","sYhcHvJDOAqkVGNSMHHu90bzJk0sFtbF22P2im-gohA",{"id":975,"title":976,"affiliation":977,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":978,"legacy":15,"linkedin":979,"meta":980,"name":976,"navigation":15,"path":982,"photo":34,"role":34,"seo":983,"stem":984,"topic":34,"website":34,"__hash__":985},"faculty/faculty/lilian-coral.json","Lilian Coral","New America","https://cms.thegovlab.com/assets/b5553bc1-fcf2-4012-b359-3e6d08b95202","https://www.linkedin.com/in/lcoral/",{"slug":981},"lilian-coral","/faculty/lilian-coral",{},"faculty/lilian-coral","PFVGbRvqYy1KzELxWJoua5jrbJnMNUzlngzC92NPKF4",{"id":987,"title":988,"affiliation":989,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":990,"legacy":15,"linkedin":991,"meta":992,"name":988,"navigation":15,"path":994,"photo":34,"role":34,"seo":995,"stem":996,"topic":34,"website":34,"__hash__":997},"faculty/faculty/lisa-moretti.json","Lisa Moretti","Freelance, Digital Sociologist","https://cms.thegovlab.com/assets/2ee04896-2db7-436c-b2b8-1de20e12c578","https://www.linkedin.com/in/lisataliamoretti/",{"slug":993},"lisa-moretti","/faculty/lisa-moretti",{},"faculty/lisa-moretti","EV8XLcbAFAoKtBzuzfT85iXeQ49CT2LH-2tTPcZln8I",{"id":999,"title":1000,"affiliation":1001,"bio":34,"body":34,"category":93,"cohort":1002,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1003,"legacy":15,"linkedin":1004,"meta":1005,"name":1000,"navigation":15,"path":1007,"photo":34,"role":34,"seo":1008,"stem":1009,"topic":1010,"website":34,"__hash__":1011},"faculty/faculty/ludovica-paseri.json","Ludovica Paseri","University of Turin","DS Turin 2024, DS Milan 2026","https://cms.thegovlab.com/assets/f7c1cd4c-45fe-44b5-8d73-7ba5b03f394d","https://www.linkedin.com/in/ludovica-paseri-616880149/",{"slug":1006},"ludovica-paseri","/faculty/ludovica-paseri",{},"faculty/ludovica-paseri","Legal Implications to Data Stewardship","6pyzowrJ3UqTiWmC6EjaIwNCivAMpoyk7ozFgyO2I3c",{"id":1013,"title":1014,"affiliation":1015,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1016,"legacy":15,"linkedin":1017,"meta":1018,"name":1014,"navigation":15,"path":1020,"photo":34,"role":34,"seo":1021,"stem":1022,"topic":34,"website":34,"__hash__":1023},"faculty/faculty/lynn-overmann.json","Lynn Overmann","Beeck Center for Social Impact + Innovation","https://cms.thegovlab.com/assets/453663e1-2ae9-4767-b18d-40c689edd62f","https://www.linkedin.com/in/lynn-overmann-325bb432/",{"slug":1019},"lynn-overmann","/faculty/lynn-overmann",{},"faculty/lynn-overmann","T_4VBcHNBpT91i3OLMPlturz60ufyjOayd4Wu5Y0s5E",{"id":1025,"title":1026,"affiliation":1027,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1028,"legacy":15,"linkedin":1029,"meta":1030,"name":1026,"navigation":15,"path":1032,"photo":34,"role":34,"seo":1033,"stem":1034,"topic":34,"website":34,"__hash__":1035},"faculty/faculty/marc-lepage.json","Marc Lepage","Asian Development Bank","https://cms.thegovlab.com/assets/0b25f882-fdb8-4cc3-bbf2-5d7a9f174c7a","https://www.linkedin.com/in/mlepage/",{"slug":1031},"marc-lepage","/faculty/marc-lepage",{},"faculty/marc-lepage","JCDw1BHIBhdOfzo1coSP7TDfQgIgSwdNw8P2txPefxY",{"id":1037,"title":1038,"affiliation":581,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1039,"legacy":15,"linkedin":1040,"meta":1041,"name":1038,"navigation":15,"path":1043,"photo":34,"role":34,"seo":1044,"stem":1045,"topic":34,"website":34,"__hash__":1046},"faculty/faculty/marcus-bartley-johns.json","Marcus Bartley Johns","https://cms.thegovlab.com/assets/a36a2963-d9c0-4f73-a66c-ca96ae2dad3e","https://www.linkedin.com/in/marcus-bartley-johns-57a84422/",{"slug":1042},"marcus-bartley-johns","/faculty/marcus-bartley-johns",{},"faculty/marcus-bartley-johns","6ezX8H4I7u6nV0D1iKncL_l-M-af7CYPz9NXFU1iaAk",{"id":1048,"title":1049,"affiliation":1050,"bio":34,"body":34,"category":93,"cohort":667,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1051,"legacy":47,"linkedin":1052,"meta":1053,"name":1055,"navigation":15,"path":1056,"photo":34,"role":34,"seo":1057,"stem":1058,"topic":1059,"website":34,"__hash__":1060},"faculty/faculty/martin-pompery.json","Martin Pompery","SINE Foundation","https://cms.thegovlab.com/assets/ed8cc1b5-1ca9-4bfa-9ae2-e954ddf739b6","https://www.linkedin.com/in/pompery/",{"slug":1054},"martin-pompery","Martin Pompéry","/faculty/martin-pompery",{},"faculty/martin-pompery","Data Commons (Governance and Technical Infrastructure)","tjuo0EubXDpXzFAIg_QIbXCZltPEmfV5O6BB2OiGxgk",{"id":1062,"title":1063,"affiliation":34,"bio":1064,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1065,"legacy":47,"linkedin":1066,"meta":1067,"name":1069,"navigation":15,"path":1070,"photo":34,"role":34,"seo":1071,"stem":1072,"topic":34,"website":34,"__hash__":1073},"faculty/faculty/martin-stewart-weeks.json","Martin Stewart Weeks","\u003Cp>A strategic thinker, organisational consultant, policy analyst, facilitator and writer, Martin’s work draws on over 35 years’ experience spanning government, the “for purpose” or social sector and the corporate sector.\u003C/p>\n\u003Cp>As well as his own advisory and research work, Martin has also been a senior advisor to Deloitte’s public sector team in Australia and with The Impact Assembly as part of PwC’s social impact practice.\u003C/p>\n\u003Cp>He is an ANZSOG Practice Fellow for Digital Government Strategy and Leadership and the founder and principal of Public Purpose Pty Ltd, working at the intersection of public policy, strategy, leadership and technology. He has led the development of new programs exploring the public leadership implications of digital, data and AI, including the role of ethics and ethical frameworks for public leaders. He co-directs ANZSOG’s Deputies Leadership Program with Kathryn Anderson, that integrates a significant focus on the evolution of leadership responses to the opportunities and risks of digital, data and AI capabilities and platforms.\u003C/p>\n\u003Cp>From 2001 to 2013, Martin led the Asia-Pacific public sector consulting and innovation team in Cisco’s Internet Business Solutions Group (IBSG). He led strategy and design work on digital transformation and public policy and public sector reform projects in government, education, health, human services and urbanisation in India, China, South-East Asia, Australia and New Zealand.\u003C/p>\n\u003Cp>Prior to his role in Cisco, Martin held various policy and management roles in the federal public sector, including Chief of Staff to a Minister in the Federal Government, a federal public servant (Communications, Sport, Recreation and Tourism) and as a research and strategy lead in the Office of Strategic Planning in the NSW Cabinet Office. For the past three years, and again in 2026, he has been a Learning Guide and facilities for the NSW Leadership Academy (Band 1 and Band 2 senior executives).\u003C/p>\n\u003Cp>He chaired the former NSW Digital Government Advisory Panel and the Expert Advisory Group for the Welfare Payments Infrastructure Transformation program (WPIT) for the former federal Department of Human Services (now Services Australia).\u003C/p>\n\u003Cp>He was a member of the Government 2.0 Task Force established by Federal Minister for Finance, Lindsay Tanner, in 2009. In 2017, Martin was one of 3 members of a review for the NSW Government, chaired by former NSW Premier Nick Greiner AC, of regulatory policy and strategy across the State.\u003C/p>\n\u003Cp>He was an inaugural member of the NSW AI Advisory Group which crafted the early versions of what has now become the NSW AI Assurance Framework which is also being adapted as a national AI assurance framework.\u003C/p>\n\u003Cp>Martin writes and speaks extensively on government, service design, digital transformation, the impact of AI in government and on public leadership for the digital age as well as on different dimensions of policy reform. Together with former Finance Minister Lindsay Tanner, he wrote Changing Shape: Institutions for a Digital Age (Longueville Press, February 2014).\u003C/p>\n\u003Cp>He is also co-author with Simon Cooper of (Are We There Yet? Digital Transformation of Government and the Public Sector in Australia (Longueville Press, July 2019).\u003C/p>\n\u003Cp>Martin holds an Honours degree in English from the University of York, a Masters degree in Social Science and Policy from the University of New South Wales as well as graduate qualifications in applied economics from what is now the University of Canberra.\u003C/p>","https://cms.thegovlab.com/assets/ae57bd4e-ccca-4e57-90ae-ccdea38ab424","https://www.linkedin.com/in/msweeks/",{"slug":1068},"martin-stewart-weeks","Martin Stewart-Weeks","/faculty/martin-stewart-weeks",{},"faculty/martin-stewart-weeks","nuHbo3Pfrch0Q_uq8-nDe3bEo8ZnLVP1A8Psh91GOYc",{"id":1075,"title":1076,"affiliation":1077,"bio":34,"body":34,"category":93,"cohort":94,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1078,"legacy":47,"linkedin":1079,"meta":1080,"name":1082,"navigation":15,"path":1083,"photo":34,"role":34,"seo":1084,"stem":1085,"topic":1086,"website":34,"__hash__":1087},"faculty/faculty/martin-wahlisch.json","Martin Wahlisch","University of Birmingham","https://cms.thegovlab.com/assets/7615dae2-797a-4f6f-9597-c7c7ed0e8b92","https://www.linkedin.com/in/martinwaehlisch/",{"slug":1081},"martin-wahlisch","Martin Wählisch","/faculty/martin-wahlisch",{},"faculty/martin-wahlisch","Institutionalizing Data Stewardship, data hubs and digital transformation of public organizations","cZUQPYrsyAC_ng4hHzqnYTmfJC5j8FWC-2Zq7Uc4moc",{"id":1089,"title":1090,"affiliation":1091,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1092,"legacy":15,"linkedin":1093,"meta":1094,"name":1090,"navigation":15,"path":1096,"photo":34,"role":34,"seo":1097,"stem":1098,"topic":34,"website":34,"__hash__":1099},"faculty/faculty/michael-khoo.json","Michael Khoo","Asia Travel Tech, Digital Platforms Industry Associations","https://cms.thegovlab.com/assets/2fd51780-b7e0-4f6a-9479-ee706f588580","https://www.linkedin.com/in/michael-khoo-/",{"slug":1095},"michael-khoo","/faculty/michael-khoo",{},"faculty/michael-khoo","vRl_-AO0A8xraN5t_Y_XgR1EMzL-G9WpJKI9LRhnKSM",{"id":1101,"title":1102,"affiliation":1103,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1104,"legacy":15,"linkedin":1105,"meta":1106,"name":1108,"navigation":15,"path":1109,"photo":34,"role":34,"seo":1110,"stem":1111,"topic":34,"website":34,"__hash__":1112},"faculty/faculty/michael-p-canares.json","Michael P Canares","Australian Department of Foreign Affairs and Trade","https://cms.thegovlab.com/assets/67c98b20-e643-4314-8e6c-3fb94387560e","https://www.linkedin.com/in/michaelcanares/",{"slug":1107},"michael-p-canares","Michael P. Cañares","/faculty/michael-p-canares",{},"faculty/michael-p-canares","6BbSAcLd0R0TuJaYMZ_bcmUHcwp5VrQCMy2iTB6QXlU",{"id":1114,"title":1115,"affiliation":34,"bio":1116,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1117,"legacy":47,"linkedin":34,"meta":1118,"name":1115,"navigation":15,"path":1120,"photo":34,"role":1121,"seo":1122,"stem":1123,"topic":34,"website":34,"__hash__":1124},"faculty/faculty/michelle-winowatan.json","Michelle Winowatan","Michelle Winowatan is a Research Assistant at The GovLab, where she focuses on exploring the ways data and collaboration can improve policymaking. Previously, she has worked at several international nonprofit organizations, such as Search for Common Ground and Human Rights Watch, implementing projects that focused on conflict and human rights issues. She is a Fulbright awardee, through which she obtained her MPA in Public and Nonprofit Management and Policy from New York University. She also has a BA in International Relations from Universitas Pelita Harapan, in Indonesia.","https://cms.thegovlab.com/assets/3b47fcf8-abb4-4ef9-b85f-3ce0f73497e3",{"slug":1119},"michelle-winowatan","/faculty/michelle-winowatan","Research Assistant",{},"faculty/michelle-winowatan","ntoprYtYdb69qzeOoDH0OIZRyYocJVD0uWd0qtFkRIA",{"id":1126,"title":1127,"affiliation":1128,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1129,"legacy":15,"linkedin":1130,"meta":1131,"name":1127,"navigation":15,"path":1133,"photo":34,"role":34,"seo":1134,"stem":1135,"topic":34,"website":34,"__hash__":1136},"faculty/faculty/natalia-adler.json","Natalia Adler","Mitiga Solutions","https://cms.thegovlab.com/assets/57496f31-6ebb-41af-8fd7-eb98ff828199","https://www.linkedin.com/in/nataliaadler/",{"slug":1132},"natalia-adler","/faculty/natalia-adler",{},"faculty/natalia-adler","x3XYVJctiWzq4vPbSnpRVYZqJf4wJGw9XvT1lhOUHyk",{"id":1138,"title":1139,"affiliation":1140,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1141,"legacy":15,"linkedin":1142,"meta":1143,"name":1139,"navigation":15,"path":1145,"photo":34,"role":34,"seo":1146,"stem":1147,"topic":34,"website":34,"__hash__":1148},"faculty/faculty/natalia-carfi.json","Natalia Carfi","Open Data Charter","https://cms.thegovlab.com/assets/bd0e0761-0de4-45cd-a475-bd0ee12a36d9","https://www.linkedin.com/in/natalia-carfi-8683029/",{"slug":1144},"natalia-carfi","/faculty/natalia-carfi",{},"faculty/natalia-carfi","DWP3TEtP8jvPaTnVAcRhfUa81L0oknuD_Ov4ueMyB0s",{"id":1150,"title":1151,"affiliation":1152,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1153,"legacy":15,"linkedin":1154,"meta":1155,"name":1151,"navigation":15,"path":1157,"photo":34,"role":34,"seo":1158,"stem":1159,"topic":34,"website":34,"__hash__":1160},"faculty/faculty/natalia-domagala.json","Natalia Domagala","Freelance, AI Strategy, Ethics & Transparency","https://cms.thegovlab.com/assets/0702cbe7-3553-436c-b8cf-11c79af4cfe0","https://www.linkedin.com/in/nadomagala/",{"slug":1156},"natalia-domagala","/faculty/natalia-domagala",{},"faculty/natalia-domagala","z4UoxPAvcyt_19R6WsXAwqQ8KG3FlKWI1Df9ceQ2OAk",{"id":1162,"title":1163,"affiliation":34,"bio":34,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":34,"legacy":47,"linkedin":34,"meta":1164,"name":1166,"navigation":15,"path":1167,"photo":34,"role":34,"seo":1168,"stem":1169,"topic":34,"website":34,"__hash__":1170},"faculty/faculty/natalia-gonzalez-alarcon.json","Natalia Gonzalez Alarcon",{"slug":1165},"natalia-gonzalez-alarcon","Natalia González Alarcón","/faculty/natalia-gonzalez-alarcon",{},"faculty/natalia-gonzalez-alarcon","5_O4v0eHO9xJcxtyU5BUk1_2r3V-ybOjkdqGq_DXddQ",{"id":1172,"title":1173,"affiliation":1174,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1175,"legacy":15,"linkedin":1176,"meta":1177,"name":1173,"navigation":15,"path":1179,"photo":34,"role":34,"seo":1180,"stem":1181,"topic":34,"website":34,"__hash__":1182},"faculty/faculty/nick-hart.json","Nick Hart","Data Foundation","https://cms.thegovlab.com/assets/3112fb04-06e4-4c67-89ba-ba1344d58bfd","https://www.linkedin.com/in/nickrhart/",{"slug":1178},"nick-hart","/faculty/nick-hart",{},"faculty/nick-hart","nr_yHL5OvAPmgt58TYw04NVjf19AvCLixDQ-ZMwuRko",{"id":1184,"title":1185,"affiliation":1186,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1187,"legacy":15,"linkedin":1188,"meta":1189,"name":1185,"navigation":15,"path":1191,"photo":34,"role":34,"seo":1192,"stem":1193,"topic":34,"website":34,"__hash__":1194},"faculty/faculty/nicolas-schifano.json","Nicolas Schifano","Fastcatalog.ai","https://cms.thegovlab.com/assets/833ce985-df9a-44d7-9066-0b1e1c7777d9","https://www.linkedin.com/in/schifano/",{"slug":1190},"nicolas-schifano","/faculty/nicolas-schifano",{},"faculty/nicolas-schifano","4rKkBJGscyHEf8wdKvX5iTd--IdVRMqrSf7EtvF_M6g",{"id":1196,"title":1197,"affiliation":1198,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1199,"legacy":15,"linkedin":1200,"meta":1201,"name":1197,"navigation":15,"path":1203,"photo":34,"role":34,"seo":1204,"stem":1205,"topic":34,"website":34,"__hash__":1206},"faculty/faculty/nigel-jacob.json","Nigel Jacob","Barr Foundation","https://cms.thegovlab.com/assets/fecfd38e-9969-4fcf-b16e-06041d6aeaf6","https://www.linkedin.com/in/nsjacob/",{"slug":1202},"nigel-jacob","/faculty/nigel-jacob",{},"faculty/nigel-jacob","2p7Bz3gycQDE6ffGBxPzAkMwBrWHVA5ZrOR6huMWsIs",{"id":1208,"title":1209,"affiliation":1210,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1211,"legacy":47,"linkedin":1212,"meta":1213,"name":1209,"navigation":15,"path":1215,"photo":34,"role":34,"seo":1216,"stem":1217,"topic":1218,"website":34,"__hash__":1219},"faculty/faculty/oksana-riba-grognuz.json","Oksana Riba Grognuz","Swiss Data Science Center","https://cms.thegovlab.com/assets/495267c3-3d55-4af6-ad6a-febd9d5af866","https://www.linkedin.com/in/oksana80/",{"slug":1214},"oksana-riba-grognuz","/faculty/oksana-riba-grognuz",{},"faculty/oksana-riba-grognuz","Creating a Loop for Sharing and Reuse of Processed Data (\"Data Products\")","vCN9ptAja28aOGuJB1BVKp9zxT4VSmIZx-ZtON_As4Y",{"id":1221,"title":1222,"affiliation":1223,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1224,"legacy":15,"linkedin":1225,"meta":1226,"name":1222,"navigation":15,"path":1228,"photo":34,"role":34,"seo":1229,"stem":1230,"topic":34,"website":34,"__hash__":1231},"faculty/faculty/paul-ko.json","Paul Ko","Grammarly","https://cms.thegovlab.com/assets/36f4d186-588e-4f9e-80b6-f1da1aae6e5d","https://www.linkedin.com/in/paulhko/",{"slug":1227},"paul-ko","/faculty/paul-ko",{},"faculty/paul-ko","xQQ0r2in4ZYZPu4O9cD4VvGB4veSoNYrx0eo5AZTaCk",{"id":1233,"title":1234,"affiliation":34,"bio":1235,"body":34,"category":79,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1236,"legacy":47,"linkedin":1237,"meta":1238,"name":1234,"navigation":15,"path":1240,"photo":34,"role":190,"seo":1241,"stem":1242,"topic":34,"website":34,"__hash__":1243},"faculty/faculty/paulina-behluli.json","Paulina Behluli","\u003Cp>Paulina is a Program Manager at the Data Tank in charge of the data stewardship program. She is a digital governance specialist, specifically, public sector innovation & transformation. At the Data Tank, she leads the Data Stewardship Program focusing on Data Stewards Bootcamps for senior executives across Europe. Paulina is also involved in fundraising and partnership building. In parallel, Paulina has supported in building the She Shapes AI initiative as a volunteer, and additionally served as an Expert Reviewer. She holds a Master’s Degree in Public Policy from the Hertie School in Berlin. Prior to joining The Data Tank, Ms Behluli has managed several projects at Open Data Kosovo - a Forbes 30 under 30 listed organization. She has led Kosovo’s membership in the Open Government Partnership leading a close collaboration with the Office of the Prime Minister. Ms Behluli has co-authored two reports measuring the openness and transparency of the Kosovo Parliament and the Office of the Prime Minister. She was also engaged in the Global Data Barometer study, where Open Data Kosovo acted as a regional hub responsible for monitoring data usage for public good in Kosovo and Albania. In Berlin, she worked for the Berlin Innovation Agency helping startups accelerate tech for social good. She also served as a student advisory board member at the Center for Digital Governance of the Hertie School for 2 consecutive academic years.\u003C/p>","https://cms.thegovlab.com/assets/92b175dd-c3ad-40bb-b67d-1bc77c854f4a","https://www.linkedin.com/in/paulinabehluli/",{"slug":1239},"paulina-behluli","/faculty/paulina-behluli",{},"faculty/paulina-behluli","KzMq7h-4JXW4j4bYqqTkIXwnl5QhtGb3qLT3UDEYy8Q",{"id":1245,"title":1246,"affiliation":1247,"bio":34,"body":34,"category":93,"cohort":1248,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1249,"legacy":47,"linkedin":1250,"meta":1251,"name":1253,"navigation":15,"path":1254,"photo":34,"role":34,"seo":1255,"stem":1256,"topic":1257,"website":34,"__hash__":1258},"faculty/faculty/peter-bjoern-larsen.json","Peter Bjoern Larsen","Smart City Insights","DS Turin 2024, DS Berlin 2025","https://cms.thegovlab.com/assets/635b6215-76f6-4db0-bd1b-05f209453bec","https://www.linkedin.com/in/peter-bj%C3%B8rn/",{"slug":1252},"peter-bjoern-larsen","Peter Bjørn Larsen","/faculty/peter-bjoern-larsen",{},"faculty/peter-bjoern-larsen","Local data collaboratives for developing new data products and encourage more re-use of data in urban development","Lp-yGgDtRiumjQDA7V0pCK9eKgypPaVB_AQ2vCJurf4",{"id":1260,"title":1261,"affiliation":1262,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1263,"legacy":15,"linkedin":1264,"meta":1265,"name":1261,"navigation":15,"path":1267,"photo":34,"role":34,"seo":1268,"stem":1269,"topic":34,"website":34,"__hash__":1270},"faculty/faculty/peter-lovelock.json","Peter Lovelock","Access Partnership","https://cms.thegovlab.com/assets/4a42ed27-8592-4d51-8dc4-7c06676d11e8","https://www.linkedin.com/in/peter-lovelock-24b234/",{"slug":1266},"peter-lovelock","/faculty/peter-lovelock",{},"faculty/peter-lovelock","T-0rMxQjEpVL0gBDJT3nu7rEeXXiZmVcF30aB_OECzk",{"id":1272,"title":1273,"affiliation":1274,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1275,"legacy":15,"linkedin":1276,"meta":1277,"name":1273,"navigation":15,"path":1279,"photo":34,"role":34,"seo":1280,"stem":1281,"topic":34,"website":34,"__hash__":1282},"faculty/faculty/peter-rabley.json","Peter Rabley","The Open Geospatial Consortium","https://cms.thegovlab.com/assets/f7df3113-939b-4ec7-b527-f50622634e74","https://www.linkedin.com/in/peterrabley/",{"slug":1278},"peter-rabley","/faculty/peter-rabley",{},"faculty/peter-rabley","DJ0hn_3mdyNHFgwu8wiVLPcziiRfljHClrWpRzW-3J4",{"id":1284,"title":1285,"affiliation":1286,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1287,"legacy":47,"linkedin":1288,"meta":1289,"name":1291,"navigation":15,"path":1292,"photo":34,"role":34,"seo":1293,"stem":1294,"topic":1295,"website":34,"__hash__":1296},"faculty/faculty/petra-keller-gueguen.json","Petra Keller Gueguen","Federal Statistical Office FSO","https://cms.thegovlab.com/assets/13164688-806d-4e0f-ad7e-2a3ceb3e4c86","https://www.linkedin.com/in/petra-keller-gu%C3%A9guen-1b58264a/",{"slug":1290},"petra-keller-gueguen","Petra Keller Guéguen","/faculty/petra-keller-gueguen",{},"faculty/petra-keller-gueguen","Agriculture and voting results: 2 use cases for successful data stewardship","Urak9ekI5LPju5tXbCLNHMy4FFgSvEZjhMxaGoK48U4",{"id":1298,"title":1299,"affiliation":1300,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1301,"legacy":15,"linkedin":1302,"meta":1303,"name":1299,"navigation":15,"path":1305,"photo":34,"role":34,"seo":1306,"stem":1307,"topic":34,"website":34,"__hash__":1308},"faculty/faculty/pieter-de-leenheer.json","Pieter De Leenheer","DNAnexus, Collibra","https://cms.thegovlab.com/assets/4b3efc00-c8b9-4f27-9bc4-b5aa3bc7b28d","https://www.linkedin.com/in/pieterdeleenheer/",{"slug":1304},"pieter-de-leenheer","/faculty/pieter-de-leenheer",{},"faculty/pieter-de-leenheer","nAiKM_c4vT7YgMB6xtyozZ0sSP1dSe2FBYyadFwzBYI",{"id":1310,"title":1311,"affiliation":1312,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1313,"legacy":47,"linkedin":1314,"meta":1315,"name":1317,"navigation":15,"path":1318,"photo":34,"role":34,"seo":1319,"stem":1320,"topic":1321,"website":34,"__hash__":1322},"faculty/faculty/prof-dr-maximilian-von-grafenstein.json","Prof Dr Maximilian Von Grafenstein","Humboldt Institute for Internet and Society (HIIG)","https://cms.thegovlab.com/assets/199a4fc2-a59e-40cd-9129-e1c500724065","https://www.linkedin.com/in/max-von-grafenstein-208a8632/",{"slug":1316},"prof-dr-maximilian-von-grafenstein","Prof. Dr. Maximilian von Grafenstein","/faculty/prof-dr-maximilian-von-grafenstein",{},"faculty/prof-dr-maximilian-von-grafenstein","Regulatory component to data sharing & pre-conditions for data governance and re-use","yw8vqvESuFtOZy5-U5JYfG2vp-D9avyR5X8pvXyC7s8",{"id":1324,"title":1325,"affiliation":1326,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1327,"legacy":47,"linkedin":1328,"meta":1329,"name":1331,"navigation":15,"path":1332,"photo":34,"role":34,"seo":1333,"stem":1334,"topic":1335,"website":34,"__hash__":1336},"faculty/faculty/prof-ingmar-weber.json","Prof Ingmar Weber","University of Saarland","https://cms.thegovlab.com/assets/955b4d7d-da9f-45df-b55b-343053d0b05d","https://www.linkedin.com/in/ingmarweber/",{"slug":1330},"prof-ingmar-weber","Prof. Ingmar Weber","/faculty/prof-ingmar-weber",{},"faculty/prof-ingmar-weber","Computing for Society/Social Good","ePpzAhfnIE9mCjxcBmbJGDxpIVRb0-hToWFYEWasY5s",{"id":1338,"title":1339,"affiliation":34,"bio":1340,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1341,"legacy":47,"linkedin":1342,"meta":1343,"name":1345,"navigation":15,"path":1346,"photo":34,"role":34,"seo":1347,"stem":1348,"topic":34,"website":34,"__hash__":1349},"faculty/faculty/professor-brian-head-fassa.json","Professor Brian Head Fassa","\u003Cp>Professor Brian Head is a leading authority on public policy and governance, with extensive experience working across government, universities and the non-government sector. He is currently the President of the Scientific Advisory Committee for the UNESCO social sciences program and is a Fellow of the Academy of the Social Sciences in Australia.\u003C/p>\n\u003Cp>His work focuses on evidence-informed policy, policy expertise and complex or ‘wicked’ problems, with a long-standing commitment to bridging research, policy and practice. Professor Head has advised state and federal governments, contributed to major policy reviews, and delivered keynote addresses at national and international forums, including those organised by the OECD.\u003C/p>","https://cms.thegovlab.com/assets/78d98826-ff3d-4072-8992-ae5ec530b99c","https://www.linkedin.com/in/brian-head-377b7b15/",{"slug":1344},"professor-brian-head-fassa","Professor Brian Head FASSA","/faculty/professor-brian-head-fassa",{},"faculty/professor-brian-head-fassa","ISkmG6eQk4OVvOmFtV0GLkG0lVzQklOWBOHA0Rio7h8",{"id":1351,"title":1352,"affiliation":34,"bio":1353,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1354,"legacy":47,"linkedin":1355,"meta":1356,"name":1358,"navigation":15,"path":1359,"photo":34,"role":34,"seo":1360,"stem":1361,"topic":34,"website":34,"__hash__":1362},"faculty/faculty/professor-tahu-kukutai-phd-frsnz.json","Professor Tahu Kukutai Phd Frsnz","\u003Cp>Tahu Kukutai is Professor of Demography at Te Ngira Institute for Population Research and Co-Director of Ngā Pae o te Māramatanga Centre of Research Excellence. Tahu specialises in Māori and Indigenous demography and data sovereignty and has received a number of awards for her contribution to these fields. Her recent publications include \u003Cu>\u003Ca href=\"https://press.anu.edu.au/publications/series/caepr/indigenous-data-sovereignty\" target=\"_blank\" rel=\"noopener\">Indigenous data sovereignty: Toward an agenda\u003C/a>\u003C/u> (ANU Press), \u003Cu>\u003Ca href=\"https://www.taylorfrancis.com/books/oa-edit/10.4324/9780429273957/indigenous-data-sovereignty-policy-maggie-walter-tahu-kukutai-stephanie-russo-carroll-desi-rodriguez-lonebear\" target=\"_blank\" rel=\"noopener\">Indigenous data sovereignty and policy\u003C/a>\u003C/u> (Routledge), The \u003Cu>\u003Ca href=\"https://academic.oup.com/edited-volume/37077\">Oxford handbook of Indigenous sociology\u003C/a>\u003C/u> (Oxford), \u003Cu>\u003Ca href=\"https://www.routledge.com/Indigenous-Statistics-A-Quantitative-Research-Methodology/Walter-Andersen-Kukutai-Gabel/p/book/9781032002507?srsltid=AfmBOoqPLZnF318mBsuzlutgUWnCLEk1KjuEMjPAfaD6IfyzsMPYfn39\" target=\"_blank\" rel=\"noopener\">Indigenous statistics: From data deficits to data sovereignty\u003C/a>\u003C/u> (Routledge) and the \u003Cu>\u003Ca href=\"https://www.kahuiraraunga.io/maoridatagovernance\" target=\"_blank\" rel=\"noopener\">Māori Data Governance Model\u003C/a>\u003C/u> (Te Kāhui Raraunga). Tahu has undertaken research for numerous tribes, Māori communities, and Government agencies, and provided strategic advice across a range of sectors. She is a founding member of the Māori Data Sovereignty Network Te Mana Raraunga and the Global Indigenous Data Alliance.\u003C/p>\n\u003Cp>Tahu is an elected Fellow of the Royal Society Te Apārangi and a Life Member of the Population Association of New Zealand. Her affiliations are Ngāti Tiipa, Ngāti Māhanga, Ngāti Kinohaku and Te Aupōuri.\u003C/p>","https://cms.thegovlab.com/assets/0de27b97-53c6-46ba-b2df-87d124b6fe35","https://www.linkedin.com/in/tahu-kukutai-phd-frsnz-167810/",{"slug":1357},"professor-tahu-kukutai-phd-frsnz","Professor Tahu Kukutai, PhD FRSNZ","/faculty/professor-tahu-kukutai-phd-frsnz",{},"faculty/professor-tahu-kukutai-phd-frsnz","Lzmn4cLNPFj29qN6t0_uVa3e7Lmqof_E9_rDqxsznIs",{"id":1364,"title":1365,"affiliation":1366,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1367,"legacy":15,"linkedin":1368,"meta":1369,"name":1365,"navigation":15,"path":1371,"photo":34,"role":34,"seo":1372,"stem":1373,"topic":34,"website":34,"__hash__":1374},"faculty/faculty/rachel-wells.json","Rachel Wells","Datakind","https://cms.thegovlab.com/assets/f8e45cd8-70a5-44f7-a129-241c854ead8b","https://www.linkedin.com/in/rachellaurynwells/",{"slug":1370},"rachel-wells","/faculty/rachel-wells",{},"faculty/rachel-wells","Zd9QUrN8U6ZrsSjhy-DLWFIY0ZYcw7MdP2uG5IdoZDs",{"id":1376,"title":1377,"affiliation":1378,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1379,"legacy":47,"linkedin":1380,"meta":1381,"name":1377,"navigation":15,"path":1383,"photo":34,"role":34,"seo":1384,"stem":1385,"topic":1386,"website":34,"__hash__":1387},"faculty/faculty/ramy-hcini.json","Ramy Hcini","Think-It","https://cms.thegovlab.com/assets/8405f27d-b2e7-498e-aeb2-34b15fc92119","https://www.linkedin.com/in/ramy-hcini/",{"slug":1382},"ramy-hcini","/faculty/ramy-hcini",{},"faculty/ramy-hcini","Data Spaces in the context of matching demand and supply and security","-rWrvlNEWCn3XBHQmb9CWYvT0ahjPATj9z7NS8LhpXg",{"id":1389,"title":1390,"affiliation":1391,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1392,"legacy":15,"linkedin":1393,"meta":1394,"name":1390,"navigation":15,"path":1396,"photo":34,"role":34,"seo":1397,"stem":1398,"topic":34,"website":34,"__hash__":1399},"faculty/faculty/richard-benjamins.json","Richard Benjamins","OdiseIA","https://cms.thegovlab.com/assets/1b4d1a3a-4bc9-46bb-8f4c-59001cee0bdb","https://www.linkedin.com/in/richard-benjamins/",{"slug":1395},"richard-benjamins","/faculty/richard-benjamins",{},"faculty/richard-benjamins","qVN1VHgFK92frM8UkhDTLNHl1e7fKik9zKgXft5EHhY",{"id":1401,"title":1402,"affiliation":34,"bio":1403,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1404,"legacy":47,"linkedin":34,"meta":1405,"name":1402,"navigation":15,"path":1407,"photo":34,"role":1408,"seo":1409,"stem":1410,"topic":34,"website":34,"__hash__":1411},"faculty/faculty/roshni-singh.json","Roshni Singh","Roshni Singh is a Researcher at The GovLab. She holds a Master’s degree in International Affairs from The New School, with a concentration in conflict and security, and a Bachelor of Arts in Liberal Arts, where she designed her own major titled 'The Politics of Injustice: Examining the 'Other' in International Law and Security.' Roshni has worked with organizations such as UNHCR, the International Rescue Committee, and Generation Citizen, focusing on research and policy analysis. As a passionate advocate for human rights and refugee protection, her work at the Ritsona Refugee Camp and other initiatives highlights her commitment to making a positive social impact.","https://cms.thegovlab.com/assets/d04e315a-34dc-4939-abb2-9c276d703a30",{"slug":1406},"roshni-singh","/faculty/roshni-singh","Researcher",{},"faculty/roshni-singh","kUaO0OcbTVbPEwRHOjfHOS7QHtVgeVjEWIuGL18ywrM",{"id":1413,"title":1414,"affiliation":1415,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1416,"legacy":47,"linkedin":34,"meta":1417,"name":1414,"navigation":15,"path":1419,"photo":34,"role":34,"seo":1420,"stem":1421,"topic":1422,"website":34,"__hash__":1423},"faculty/faculty/ross-purves.json","Ross Purves","University of Zürich","https://cms.thegovlab.com/assets/760a7335-c0af-4597-9f96-96e39bae928d",{"slug":1418},"ross-purves","/faculty/ross-purves",{},"faculty/ross-purves","Teaching with and about (Open)(Government) data","y1f3pdZUzV6y2h-35-8fSldW2Z6ct7TajTj1ikGqh8c",{"id":1425,"title":1426,"affiliation":1427,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1428,"legacy":15,"linkedin":1429,"meta":1430,"name":1426,"navigation":15,"path":1432,"photo":34,"role":34,"seo":1433,"stem":1434,"topic":34,"website":34,"__hash__":1435},"faculty/faculty/rudi-borrmann.json","Rudi Borrmann","Open Government Partnership","https://cms.thegovlab.com/assets/efeb6c92-a5bf-4d70-8af0-5c3f568e70ba","https://www.linkedin.com/in/rudiborrmann/",{"slug":1431},"rudi-borrmann","/faculty/rudi-borrmann",{},"faculty/rudi-borrmann","S95VUc9mtByKc1NUVAzZHo4KBPBdauoJdxLVaVn6Mbw",{"id":1437,"title":1438,"affiliation":1439,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1440,"legacy":47,"linkedin":1441,"meta":1442,"name":1438,"navigation":15,"path":1444,"photo":34,"role":34,"seo":1445,"stem":1446,"topic":1447,"website":34,"__hash__":1448},"faculty/faculty/sachit-mahajan.json","Sachit Mahajan","ETH Zürich","https://cms.thegovlab.com/assets/2a8243e0-6507-43ca-8eb5-641cb710de93","https://www.linkedin.com/in/sachit-mahajan-9052b745/",{"slug":1443},"sachit-mahajan","/faculty/sachit-mahajan",{},"faculty/sachit-mahajan","Designing Routing as Civic Infrastructure: Open, Interoperable, Reusable","h2TFPUORfSpJrqXTOYHtmXLzbLYs7bNnHgPb79YXW6g",{"id":1450,"title":1451,"affiliation":34,"bio":1452,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1453,"legacy":47,"linkedin":34,"meta":1454,"name":1451,"navigation":15,"path":1456,"photo":34,"role":1457,"seo":1458,"stem":1459,"topic":34,"website":34,"__hash__":1460},"faculty/faculty/sampriti-saxena.json","Sampriti Saxena","Sampriti Saxena is a research intern at The GovLab. She recently completed her master’s degree in International Social Public Policy with a specialization in Development from the London School of Economics. At The GovLab, she supports the Data Program research team across a number of their projects. Sampriti also holds a bachelor’s degree in Economics with a double minor in Global Studies and French from the University of California, Berkeley.","https://cms.thegovlab.com/assets/7d058427-033e-421d-9960-6fa6dada36bb",{"slug":1455},"sampriti-saxena","/faculty/sampriti-saxena","Research Intern",{},"faculty/sampriti-saxena","1lFtbfZZp9b1-kPQmsAfiyWL97jl9yyGknrizGeyyQQ",{"id":1462,"title":1463,"affiliation":1464,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1465,"legacy":47,"linkedin":1466,"meta":1467,"name":1463,"navigation":15,"path":1469,"photo":34,"role":34,"seo":1470,"stem":1471,"topic":1472,"website":34,"__hash__":1473},"faculty/faculty/sebastian-sigloch.json","Sebastian Sigloch","Switch","https://cms.thegovlab.com/assets/ba59d107-03c4-4ef2-bf4d-55c2f6377c76","https://www.linkedin.com/in/sebastian-s-3889b024a/",{"slug":1468},"sebastian-sigloch","/faculty/sebastian-sigloch",{},"faculty/sebastian-sigloch","Switch Data","0kYV6nwaqMpwvxd2A511FYmQqP7CvEYqhjs2h4ZyaTA",{"id":1475,"title":1476,"affiliation":828,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1477,"legacy":15,"linkedin":1478,"meta":1479,"name":1476,"navigation":15,"path":1481,"photo":34,"role":34,"seo":1482,"stem":1483,"topic":34,"website":34,"__hash__":1484},"faculty/faculty/shanna-crumley.json","Shanna Crumley","https://cms.thegovlab.com/assets/bfe62fac-d24c-4f90-9698-f67638348b00","https://www.linkedin.com/in/shannacrumley/",{"slug":1480},"shanna-crumley","/faculty/shanna-crumley",{},"faculty/shanna-crumley","iXUsWMnMY6mPvKHDLhgAZyhxocsHbNxH-_5w1E3Ffww",{"id":1486,"title":1487,"affiliation":828,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1488,"legacy":15,"linkedin":1489,"meta":1490,"name":1487,"navigation":15,"path":1492,"photo":34,"role":34,"seo":1493,"stem":1494,"topic":34,"website":34,"__hash__":1495},"faculty/faculty/smita-jain.json","Smita Jain","https://cms.thegovlab.com/assets/3dbab9bf-ab59-4ff4-8a3c-56310b628071","https://www.linkedin.com/in/smita-jain1/",{"slug":1491},"smita-jain","/faculty/smita-jain",{},"faculty/smita-jain","g6qNp1x4R9a3MCXfGu-OOgoj8Dze1jUxqKdMuaw29M4",{"id":1497,"title":1498,"affiliation":1499,"bio":1500,"body":34,"category":79,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1501,"legacy":47,"linkedin":1502,"meta":1503,"name":1498,"navigation":15,"path":1505,"photo":34,"role":1506,"seo":1507,"stem":1508,"topic":34,"website":34,"__hash__":1509},"faculty/faculty/stefaan-verhulst.json","Stefaan Verhulst","Data Stewards Founder","\u003Cp dir=\"ltr\">\u003Cstrong>Dr. Stefaan Verhulst \u003C/strong>is Co-Founder of the DataTank and The GovLab and the main lecturer of the data stewardship academy. In addition, he is a Research Professor at the Center for Urban Science and Progress at the Tandon School of Engineering of New York University; and a Senior Advisor to the Markle Foundation where he spent more than a decade as Chief of Research. He is also the Editor-in-Chief of the open-access journal Data & Policy (Cambridge University Press); the Research Director of the MacArthur Research Network on Opening Governance; Chair of the Data for Children Collaborative with Unicef; a member of the High-Level Expert Group to the European Commission on Business-to-Government Data Sharing; and of the Expert Group to Eurostat on using Private Sector data for Official Statistics. In addition he is also a member of the UNESCO Information Ethics Working Group; Researcher at the ISI Foundation (Torino, Italy); Senior Researcher at SMIT (Studies in Media, Innovation and Technology) at the Free University of Brussels (VUB) . In 2018 he was recognized as one of the 10 Most Influential Academics in Digital Government globally (by the global policy platform Apolitical). Previously at Oxford University, he was the UNESCO Chairholder in Communications Law and Policy and co-founded and was the Head of the Program in Comparative Media Law and Policy at the Center for Socio-Legal Studies. He was the Socio-Legal Fellow at Wolfson College, and is still an emeritus fellow at Oxford. He also taught for several years at the London School of Economics and was Co-Founder and Co-Director of the International Media and Info-Comms Policy and Law Studies (IMPS) at the University of Glasgow School of Law.\u003C/p>\n\u003Cp>He has published widely - including seven books- and his writings and work have appeared in the Harvard Business Review, Stanford Social Innovation Review, Project Syndicate, Wall Street Journal, and The Conversation (among many other outlets). He is asked regularly to present at international conferences including, for instance, TED, Collision, and the UN World Data Forum. Numerous organizations have sought his counsel on a variety of topics including data and AI governance - including the WorldBank; IDB, CAP, USAID, DFID, IDRC, AFP, the European Commission, Council of Europe, the World Economic Forum, UNICEF, OECD, UN-OCHA, UNDP, UNESCO and several other international and national private and public organizations. He is also a Linkedin Learning instructor seeking to democratize the practice of data stewardship globally.\u003C/p>","https://cms.thegovlab.com/assets/5f5b52b5-44d9-4840-88f3-8ac6e9cb5ae2","https://www.linkedin.com/in/stefaan-verhulst/",{"slug":1504},"stefaan-verhulst","/faculty/stefaan-verhulst","Course Lead",{},"faculty/stefaan-verhulst","OU0_J9qbLAdOggqbBTXHGlhgyazJ7eKPpwEn4eIiPdA",{"id":1511,"title":1512,"affiliation":1513,"bio":34,"body":34,"category":93,"cohort":382,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1514,"legacy":47,"linkedin":1515,"meta":1516,"name":1512,"navigation":15,"path":1518,"photo":34,"role":34,"seo":1519,"stem":1520,"topic":1521,"website":34,"__hash__":1522},"faculty/faculty/stefan-metzger.json","Stefan Metzger","Beyond Civic","https://cms.thegovlab.com/assets/0da4a628-95f3-434f-8281-043a04c9db29","https://www.linkedin.com/in/stefan-p-metzger/",{"slug":1517},"stefan-metzger","/faculty/stefan-metzger",{},"faculty/stefan-metzger","TriRegio Data Space / Data Space Concept","Si9xi0nfhdPCS4LYK1_0Zl3GtlwKsgmkY3IkaVGxIjM",{"id":1524,"title":1525,"affiliation":1526,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1527,"legacy":15,"linkedin":1528,"meta":1529,"name":1525,"navigation":15,"path":1531,"photo":34,"role":34,"seo":1532,"stem":1533,"topic":34,"website":34,"__hash__":1534},"faculty/faculty/stephen-chacha.json","Stephen Chacha","Development Transformations","https://cms.thegovlab.com/assets/a07ea099-6032-439c-b046-5ccb7f7c31f6","https://www.linkedin.com/in/stephenchacha/",{"slug":1530},"stephen-chacha","/faculty/stephen-chacha",{},"faculty/stephen-chacha","XFQOVAoxxF-67x3MvbGeTd21mOgiVjsQQPfmiv5hsA0",{"id":1536,"title":1537,"affiliation":1538,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1539,"legacy":15,"linkedin":1540,"meta":1541,"name":1537,"navigation":15,"path":1543,"photo":34,"role":34,"seo":1544,"stem":1545,"topic":34,"website":34,"__hash__":1546},"faculty/faculty/stuart-campo.json","Stuart Campo","IOM UN Migration","https://cms.thegovlab.com/assets/f0c094cc-6f8b-4ed2-a06f-9e11b0992bc2","https://www.linkedin.com/in/stuart-campo-102182a/",{"slug":1542},"stuart-campo","/faculty/stuart-campo",{},"faculty/stuart-campo","xXK07w7YG_SxEIXVQ7xX6hefQP1-rtKW0CU4ggTVc_w",{"id":1548,"title":1549,"affiliation":1550,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1551,"legacy":15,"linkedin":1552,"meta":1553,"name":1549,"navigation":15,"path":1555,"photo":34,"role":34,"seo":1556,"stem":1557,"topic":34,"website":34,"__hash__":1558},"faculty/faculty/tyler-kleykamp.json","Tyler Kleykamp","Connecticut Foodshare","https://cms.thegovlab.com/assets/93f81f60-f2fd-48bf-a4ba-edf9a5f76ed1","https://www.linkedin.com/in/tyler-kleykamp/",{"slug":1554},"tyler-kleykamp","/faculty/tyler-kleykamp",{},"faculty/tyler-kleykamp","DOVnyGWVqDjwZO2jmL5sZtThIYSc2L4-qLXFkUbHh6I",{"id":1560,"title":1561,"affiliation":34,"bio":1562,"body":34,"category":66,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1563,"legacy":47,"linkedin":34,"meta":1564,"name":1561,"navigation":15,"path":1566,"photo":34,"role":1121,"seo":1567,"stem":1568,"topic":34,"website":34,"__hash__":1569},"faculty/faculty/uma-kalkar.json","Uma Kalkar","Uma Kalkar is a research assistant at The GovLab and a dual-degree candidate for a Master of Public Policy specializing in Digital and New Technology at The Paris Institute of Political Studies (Sciences Po) and a Master of Global Affairs at the University of Toronto. She is also the Innovation Director of 18by Vote, a youth-led non-profit that helps 16, 17, and 18-year-olds understand how to vote, when to vote, and why to vote. Her work focuses on digital inequities, open data initiatives, and civic organizing in digital spaces. Uma was a 2019-2020 Presidential Fellow at the Center for the Study of the Presidency and Congress (CSPC) researching the political effects of the urban-rural digital divide in the United States. Uma holds a B.Sc. (Honors) majoring in Peace, Conflict, and Justice and double minoring in Mathematics and Biology from the University of Toronto.","https://cms.thegovlab.com/assets/32ba2a39-f9a4-4a58-8488-957ccdd54b41",{"slug":1565},"uma-kalkar","/faculty/uma-kalkar",{},"faculty/uma-kalkar","19ZAaVczDlFV-CVrOsdscP-9-93mnw4uUTgdHt78-6I",{"id":1571,"title":1572,"affiliation":1573,"bio":34,"body":34,"category":93,"cohort":122,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1574,"legacy":15,"linkedin":1575,"meta":1576,"name":1572,"navigation":15,"path":1578,"photo":34,"role":34,"seo":1579,"stem":1580,"topic":34,"website":34,"__hash__":1581},"faculty/faculty/valentin-muresan.json","Valentin Muresan","ABQ.Institute, Equal 1, Primăria Municipiului Timișoara","https://cms.thegovlab.com/assets/48264b87-4afd-423b-bc22-60ea1553179f","https://www.linkedin.com/in/valmuresan/",{"slug":1577},"valentin-muresan","/faculty/valentin-muresan",{},"faculty/valentin-muresan","bMedh5cgp7_cnJQAqbyIyK6naTlb14-9oRlJ539yl5Q",{"id":1583,"title":1584,"affiliation":1378,"bio":34,"body":34,"category":93,"cohort":368,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1585,"legacy":47,"linkedin":1586,"meta":1587,"name":1584,"navigation":15,"path":1589,"photo":34,"role":34,"seo":1590,"stem":1591,"topic":1386,"website":34,"__hash__":1592},"faculty/faculty/wassim-kallel.json","Wassim Kallel","https://cms.thegovlab.com/assets/7fc3249b-36ae-4bf2-8a24-f17915701918","https://www.linkedin.com/in/wassimkallel/",{"slug":1588},"wassim-kallel","/faculty/wassim-kallel",{},"faculty/wassim-kallel","vHzByAWe3IfptF8--3FBseOaOdIP_uSWNAH37IgoZbs",{"id":1594,"title":1595,"affiliation":1596,"bio":34,"body":34,"category":93,"cohort":667,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1597,"legacy":47,"linkedin":1598,"meta":1599,"name":1595,"navigation":15,"path":1601,"photo":34,"role":34,"seo":1602,"stem":1603,"topic":1604,"website":34,"__hash__":1605},"faculty/faculty/yannik-sassmann.json","Yannik Sassmann","Federal Ministry of Economic Cooperation and Development (BMZ)","https://cms.thegovlab.com/assets/39964c54-c032-44ee-855f-ea9a59546eb5","https://www.linkedin.com/in/yannik-sassmann/",{"slug":1600},"yannik-sassmann","/faculty/yannik-sassmann",{},"faculty/yannik-sassmann","BMZ Data and AI Lab","ZlegG-Md_hy5eQodCby9lZL8eA_6iQMH6KvMupVtYeA",1781873986676]