[{"data":1,"prerenderedAt":1601},["ShallowReactive",2],{"page-config-/news/innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value":3,"news-post-innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value":38,"all-faculty-news-detail":56},{"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":34,"videoUrl":34,"__hash__":55},"blogposts/blogposts/innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value.json","Innovating with Non-Traditional Data: Recent Use Cases for Unlocking Public Value","Adam Zable and Stefaan Verhulst",[],"research","2024-12-09T17:56:57","Digitalization and the resulting datafication have given rise to a new category of data that, when re-used responsibly, can complement","json",false,"https://cdn-images-1.medium.com/max/800/0*pn9qBodCVCR7o7ht","\n\u003Csection name=\"c824\" class=\"section section--body section--first section--last\">\u003Cdiv class=\"section-divider\">\u003Chr class=\"section-divider\">\u003C/div>\u003Cdiv class=\"section-content\">\u003Cdiv class=\"section-inner sectionLayout--insetColumn\">\u003Ch3 name=\"2a6b\" id=\"2a6b\" class=\"graf graf--h3 graf--leading graf--title\">Innovating with Non-Traditional Data: Recent Use Cases for Unlocking Public Value\u003C/h3>\u003Cfigure name=\"ebee\" id=\"ebee\" class=\"graf graf--figure graf-after--h3\">\u003Cimg class=\"graf-image\" data-image-id=\"0*pn9qBodCVCR7o7ht\" data-width=\"2063\" data-height=\"1373\" data-is-featured=\"true\" src=\"https://cdn-images-1.medium.com/max/800/0*pn9qBodCVCR7o7ht\">\u003C/figure>\u003Cp name=\"6571\" id=\"6571\" class=\"graf graf--p graf-after--figure\">\u003Cem class=\"markup--em markup--p-em\">This piece was originally published on the Open Data Policy Lab by Adam Zable and Stefaan Verhulst. You can find it \u003C/em>\u003Ca href=\"https://opendatapolicylab.org/articles/new-publications-innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value/\" data-href=\"https://opendatapolicylab.org/articles/new-publications-innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value/\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">\u003Cem class=\"markup--em markup--p-em\">here\u003C/em>\u003C/a>\u003Cem class=\"markup--em markup--p-em\">.\u003C/em>\u003C/p>\u003Cp name=\"40b8\" id=\"40b8\" class=\"graf graf--p graf-after--p\">\u003Ca href=\"https://static1.squarespace.com/static/6228efe9bbdd294f0d98edfe/t/6361b53bd7cff8433cae6780/1667347780763/Data4COVID19+Review_Full+Report_31.10.22.pdf\" data-href=\"https://static1.squarespace.com/static/6228efe9bbdd294f0d98edfe/t/6361b53bd7cff8433cae6780/1667347780763/Data4COVID19+Review_Full+Report_31.10.22.pdf\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener noreferrer noopener\" target=\"_blank\">Non-Traditional Data\u003C/a> (NTD): “data that is digitally captured (e.g. mobile phone records), mediated (e.g. social media), or observed (e.g. satellite imagery), using new instrumentation mechanisms, often privately held.”\u003C/p>\u003Cp name=\"1457\" id=\"1457\" class=\"graf graf--p graf-after--p\">Digitalization and the resulting datafication have introduced a new category of data that, when re-used responsibly, can complement traditional data in addressing public interest questions — from public health to environmental conservation. Unlocking these often privately held datasets through data collaboratives is a key focus of what we have called \u003Ca href=\"https://opendatapolicylab.org/images/odpl/third-wave-of-opendata.pdf\" data-href=\"https://opendatapolicylab.org/images/odpl/third-wave-of-opendata.pdf\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener noreferrer noopener\" target=\"_blank\">\u003Cem class=\"markup--em markup--p-em\">The Third Wave of Open Data\u003C/em>\u003C/a>.\u003C/p>\u003Cp name=\"e721\" id=\"e721\" class=\"graf graf--p graf-after--p\">To help bridge this gap, we have curated below recent examples of the use of NTD for research and decision-making that were published the past few months. They are organized into five categories:\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"78b6\" id=\"78b6\" class=\"graf graf--li graf-after--p\">Health and Well-being;\u003C/li>\u003Cli name=\"219b\" id=\"219b\" class=\"graf graf--li graf-after--li\">Humanitarian Aid;\u003C/li>\u003Cli name=\"a93c\" id=\"a93c\" class=\"graf graf--li graf-after--li\">Environment and Climate;\u003C/li>\u003Cli name=\"6a24\" id=\"6a24\" class=\"graf graf--li graf-after--li\">Urban Systems and Mobility, and\u003C/li>\u003Cli name=\"3729\" id=\"3729\" class=\"graf graf--li graf-after--li\">Economic and Labor Dynamics.\u003C/li>\u003C/ul>\u003Ch3 name=\"7225\" id=\"7225\" class=\"graf graf--h3 graf-after--li\">HEALTH AND WELL-BEING\u003C/h3>\u003Ch4 name=\"251c\" id=\"251c\" class=\"graf graf--h4 graf-after--h3\">Predicting Health Outcomes with Internet Search Data\u003C/h4>\u003Cfigure name=\"42de\" id=\"42de\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*Qb_VjW7WSs1Powja\" data-width=\"500\" data-height=\"154\" src=\"https://cdn-images-1.medium.com/max/800/0*Qb_VjW7WSs1Powja\">\u003C/figure>\u003Cp name=\"6a25\" id=\"6a25\" class=\"graf graf--p graf-after--figure\">Thompson, Matthew, Calvin Chan, Elisabeth Daniels et al. “Systematic review of health research using internet search data.” PREPRINT (Version 1) available at Research Square. June 4, 2024. \u003Ca href=\"https://tinyurl.com/2hm86vya\" data-href=\"https://tinyurl.com/2hm86vya\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/2hm86vya\u003C/a>. Accessed through \u003Ca href=\"https://tinyurl.com/2swfs95z\" data-href=\"https://tinyurl.com/2swfs95z\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/2swfs95z\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"82ac\" id=\"82ac\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Systematic review of studies using Internet search patterns to predict and diagnose health conditions.\u003C/li>\u003Cli name=\"ea7a\" id=\"ea7a\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Use of Non-Traditional Data\u003C/strong>: Search engine data (keywords, frequency, timing), both aggregated, anonymized and consented, individual, to identify early symptoms of mental health disorders, cancers, and more.\u003C/li>\u003Cli name=\"20ea\" id=\"20ea\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Demonstrated potential for early diagnosis but highlighted challenges like prediction accuracy and privacy concerns.\u003C/li>\u003C/ul>\u003Ch4 name=\"405c\" id=\"405c\" class=\"graf graf--h4 graf-after--li\">Improving Healthcare Access in Lithuania\u003C/h4>\u003Cfigure name=\"8bd1\" id=\"8bd1\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*pZ7uxiHiAMO6oNlZ\" data-width=\"500\" data-height=\"161\" src=\"https://cdn-images-1.medium.com/max/800/0*pZ7uxiHiAMO6oNlZ\">\u003C/figure>\u003Cp name=\"b987\" id=\"b987\" class=\"graf graf--p graf-after--figure\">Vincent, Margaux, and Antti Moisio. “Facilitating Inter- Municipal Cooperation in Lithuania to Provide Better Access to Healthcare and Long-Term Care Services to Citizens.” Development Data Partnership. December 2, 2024.\u003Ca href=\"https://mapbox.com/\" data-href=\"https://mapbox.com/\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>\u003Ca href=\"https://tinyurl.com/ycy6sh9r\" data-href=\"https://tinyurl.com/ycy6sh9r\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/ycy6sh9r\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"030b\" id=\"030b\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Addressing healthcare and long-term care (LTC) access challenges in Lithuania’s Tauragė+ functional zone using geospatial data.\u003C/li>\u003Cli name=\"d1ee\" id=\"d1ee\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: The OECD’s RDG Division used the Mapbox Isochrone API to calculate travel time isochrones for driving and walking to healthcare facilities. These were overlaid with population data to identify accessibility gaps in healthcare and long-term care services.\u003C/li>\u003Cli name=\"2b7a\" id=\"2b7a\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: The research team provided roadmaps for improving inter-municipal cooperation, including mobile healthcare services and transport solutions.\u003C/li>\u003C/ul>\u003Ch4 name=\"1d23\" id=\"1d23\" class=\"graf graf--h4 graf-after--li\">Mobile Technology and Digital Biomarkers for Depression\u003C/h4>\u003Cfigure name=\"9710\" id=\"9710\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*cqbWYoL1aRBr_KCV\" data-width=\"500\" data-height=\"94\" src=\"https://cdn-images-1.medium.com/max/800/0*cqbWYoL1aRBr_KCV\">\u003C/figure>\u003Cp name=\"1866\" id=\"1866\" class=\"graf graf--p graf-after--figure\">Zhang, Yuezhou, Amos Folarin, and Richard Dobson. “Exploring Digital Biomarkers for Depression Using Mobile Technology.” Department of Biostatistics & Health Informatics, King’s College London. June 10, 2024. \u003Ca href=\"https://tinyurl.com/55us2u6c\" data-href=\"https://tinyurl.com/55us2u6c\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/55us2u6c\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"a8dc\" id=\"a8dc\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Using smartphone and wearable data to track depression.\u003C/li>\u003Cli name=\"7838\" id=\"7838\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Captured indicators like sleep quality, physical activity, sociability, walking cadence, and circadian rhythm to monitor mental health trends.\u003C/li>\u003Cli name=\"8c27\" id=\"8c27\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Showed mobile technologies’ potential impact on depression monitoring and informing personalized interventions.\u003C/li>\u003C/ul>\u003Ch4 name=\"d706\" id=\"d706\" class=\"graf graf--h4 graf-after--li\">Tracking Pandemics with Social Media Data\u003C/h4>\u003Cfigure name=\"e735\" id=\"e735\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*rP0g48iR0OdKaY7F\" data-width=\"500\" data-height=\"209\" src=\"https://cdn-images-1.medium.com/max/800/0*rP0g48iR0OdKaY7F\">\u003C/figure>\u003Cp name=\"e74b\" id=\"e74b\" class=\"graf graf--p graf-after--figure\">Shi, Boyang, Weixiang Huang, Yuanyuan Dang, & Wenhui Zhou. “Leveraging social media data for pandemic detection and prediction.” Humanities and Social Sciences Communications Volume 11, Article 1075. August 23, 2024. \u003Ca href=\"https://tinyurl.com/2s3hjjne\" data-href=\"https://tinyurl.com/2s3hjjne\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/2s3hjjne\u003C/a>.\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"b9a6\" id=\"b9a6\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Social media posts as tools for pandemic detection.\u003C/li>\u003Cli name=\"ac18\" id=\"ac18\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: User-generated content tracked outbreak severity in real time.\u003C/li>\u003Cli name=\"af74\" id=\"af74\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Demonstrated social media’s utility for improving outbreak detection and resource allocation.\u003C/li>\u003C/ul>\u003Ch4 name=\"392b\" id=\"392b\" class=\"graf graf--h4 graf-after--li\">Digital Footprints for Population Health\u003C/h4>\u003Cfigure name=\"b03f\" id=\"b03f\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*1lo7CzNtr_4gDmkf\" data-width=\"500\" data-height=\"123\" src=\"https://cdn-images-1.medium.com/max/800/0*1lo7CzNtr_4gDmkf\">\u003C/figure>\u003Cp name=\"c128\" id=\"c128\" class=\"graf graf--p graf-after--figure\">Burgess, Romana, Elizabeth Dolan, Neo Poon, Victoria Jenneson, Francesca Pontin, Torty Sivill, Michelle Morris, Anya Skatova. “Harnessing Digital Footprint Data for Population Health: Collaboration, Challenges, and Opportunities in the UK.” BMJ Health & Care Informatics 2024;31:e101119. September 28, 2024. \u003Ca href=\"https://tinyurl.com/5ccuwd5k\" data-href=\"https://tinyurl.com/5ccuwd5k\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/5ccuwd5k\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"54cc\" id=\"54cc\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Linking NTD with traditional data to predict issues like ovarian cancer and identify public health disparities in the UK.\u003C/li>\u003Cli name=\"c452\" id=\"c452\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Linked digital activity (e.g., loyalty card transactions, medication purchases) to health and education records.\u003C/li>\u003Cli name=\"7406\" id=\"7406\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Highlighted NTD’s role in informing targeted health policies and reducing inequalities in access to health services.\u003C/li>\u003C/ul>\u003Ch4 name=\"6d5f\" id=\"6d5f\" class=\"graf graf--h4 graf-after--li\">Meta’s Data for Good Furthers Research into Pathogenic Spread\u003C/h4>\u003Cfigure name=\"13eb\" id=\"13eb\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*HebAXUAvNGdiKwnb\" data-width=\"500\" data-height=\"178\" src=\"https://cdn-images-1.medium.com/max/800/0*HebAXUAvNGdiKwnb\">\u003C/figure>\u003Cp name=\"cf20\" id=\"cf20\" class=\"graf graf--p graf-after--figure\">Ascione, Claudio, and Eugenio Valdano. “How floods may affect the spatial spread of respiratory pathogens: The case of Emilia-Romagna, Italy, in May 2023.” MedRxiv.\u003Ca href=\"https://doi.org/10.1101/2024.09.20.24314056\" data-href=\"https://doi.org/10.1101/2024.09.20.24314056\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> September 23, 2024. https://doi.org/10.1101/2024.09.20.24314056\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"3721\" id=\"3721\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Analyzing how the 2023 Emilia-Romagna floods affected the spread of respiratory pathogens like COVID-19.\u003C/li>\u003Cli name=\"d9cd\" id=\"d9cd\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Mobility data from Meta identified shifts in contact patterns. Researchers used Meta’s colocation maps, which measure the rate at which individuals from different geographic areas are in close proximity, built from aggregated and anonymized mobile device location data with weekly resolution. Geospatial data from Copernicus Emergency Management mapped flood-affected areas, and baseline social contact rates from the SOCRATES project provided context for the observed changes.\u003C/li>\u003Cli name=\"bc14\" id=\"bc14\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Demonstrated how mobility data can inform public health planning to mitigate flood-driven epidemics.\u003C/li>\u003C/ul>\u003Ch4 name=\"04be\" id=\"04be\" class=\"graf graf--h4 graf-after--li\">Social Capital and Sexual and Reproductive Health in Africa\u003C/h4>\u003Cfigure name=\"5db5\" id=\"5db5\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*gGuAuqIUmdrExPrD\" data-width=\"500\" data-height=\"223\" src=\"https://cdn-images-1.medium.com/max/800/0*gGuAuqIUmdrExPrD\">\u003C/figure>\u003Cp name=\"f860\" id=\"f860\" class=\"graf graf--p graf-after--figure\">Koebe, Till, Theophilus Aidoo, Ridhi Kashyap, Douglas R. Leasure, Valentina Rotondi, and Ingmar Weber. “Social Capital Mediates Knowledge Gaps in Informing Sexual and Reproductive Health Behaviours Across Africa.” Social Science & Medicine 357: 117159. 2024. \u003Ca href=\"https://tinyurl.com/ysm972sm\" data-href=\"https://tinyurl.com/ysm972sm\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/ysm972sm\u003C/a>.\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"ff11\" id=\"ff11\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Exploring the effects of social capital on sexual and reproductive health knowledge and behaviors across 33 African countries.\u003C/li>\u003Cli name=\"f23a\" id=\"f23a\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Combined Facebook’s Social Connectedness Index, a proxy for social capital, with Afrobarometer and Demographic and Health Survey data.\u003C/li>\u003Cli name=\"11cd\" id=\"11cd\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Revealed regional disparities and offers insights into network effects on health outcomes, informing targeted public health campaigns.\u003C/li>\u003C/ul>\u003Ch4 name=\"0dce\" id=\"0dce\" class=\"graf graf--h4 graf-after--li\">Increasing Data Sharing for Social Good: Lessons from Africa’s COVID-19 Response\u003C/h4>\u003Cfigure name=\"697b\" id=\"697b\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*i_ofatmwCvoOU3H9\" data-width=\"500\" data-height=\"211\" src=\"https://cdn-images-1.medium.com/max/800/0*i_ofatmwCvoOU3H9\">\u003C/figure>\u003Cp name=\"6520\" id=\"6520\" class=\"graf graf--p graf-after--figure\">Amutorine, Morine, Neil Lawrence, and Jessica Montgomery. “Increasing data sharing and use for social good: Lessons from Africa’s data-sharing practices during the COVID-19 response.” Data & Policy, Volume 6, e53.\u003Ca href=\"https://doi.org/10.1017/dap.2024.43\" data-href=\"https://doi.org/10.1017/dap.2024.43\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>November 18, 2024. \u003Ca href=\"https://doi.org/10.1017/dap.2024.43\" data-href=\"https://doi.org/10.1017/dap.2024.43\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://doi.org/10.1017/dap.2024.43\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"962b\" id=\"962b\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Examining data sharing practices during Africa’s COVID-19 response by analyzing 74 data-driven initiatives.\u003C/li>\u003Cli name=\"ceea\" id=\"ceea\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Mobile phone records and geospatial data were used to track mobility patterns, predict disease spread, and support policy decisions, with privacy protocols and collaborative frameworks ensuring responsible use.\u003C/li>\u003Cli name=\"331f\" id=\"331f\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Highlighted the importance of robust governance, data literacy, and partnerships to enable sustained data sharing practices that can address broader societal challenges beyond public health crises.\u003C/li>\u003C/ul>\u003Ch3 name=\"0a6a\" id=\"0a6a\" class=\"graf graf--h3 graf-after--li\">HUMANITARIAN AID\u003C/h3>\u003Ch4 name=\"67f8\" id=\"67f8\" class=\"graf graf--h4 graf-after--h3\">OCHA and Meta: Population Data for Humanitarian Aid\u003C/h4>\u003Cfigure name=\"e74d\" id=\"e74d\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*lBzsT1SZDlrHDC0M\" data-width=\"400\" data-height=\"569\" src=\"https://cdn-images-1.medium.com/max/800/0*lBzsT1SZDlrHDC0M\">\u003C/figure>\u003Cp name=\"62a9\" id=\"62a9\" class=\"graf graf--p graf-after--figure\">Katch, Kate. “OCHA and Meta: Population Data for Humanitarian Aid.” United Nations OCHA.\u003Ca href=\"https://www.unocha.org/publications/report/world/impact-story-ocha-and-meta-partnering-give-humanitarians-open-access-population-data\" data-href=\"https://www.unocha.org/publications/report/world/impact-story-ocha-and-meta-partnering-give-humanitarians-open-access-population-data\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>October 29, 2024. \u003Ca href=\"https://tinyurl.com/bdfyuyyw\" data-href=\"https://tinyurl.com/bdfyuyyw\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/bdfyuyyw\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"8827\" id=\"8827\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Partnership between Meta and OCHA’s Humanitarian Data Exchange (HDX) to improve humanitarian planning.\u003C/li>\u003Cli name=\"a4b3\" id=\"a4b3\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: AI-powered population density maps provided granular demographic data, enabling targeted responses.\u003C/li>\u003Cli name=\"2234\" id=\"2234\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: The World Health Organization used the maps to identify unvaccinated children in remote Democratic Republic of Congo villages, halting a polio outbreak, while World Vision pinpointed underserved areas for clean water projects, aiding over 1 million people in Rwanda.\u003C/li>\u003C/ul>\u003Ch3 name=\"02a5\" id=\"02a5\" class=\"graf graf--h3 graf-after--li\">Integrating Traditional and Social Media Data to Predict EU Migrant Stocks\u003C/h3>\u003Cfigure name=\"0bbd\" id=\"0bbd\" class=\"graf graf--figure graf-after--h3\">\u003Cimg class=\"graf-image\" data-image-id=\"0*dnuO2wU3yQdgj8E4\" data-width=\"400\" data-height=\"606\" src=\"https://cdn-images-1.medium.com/max/800/0*dnuO2wU3yQdgj8E4\">\u003C/figure>\u003Cp name=\"d8bc\" id=\"d8bc\" class=\"graf graf--p graf-after--figure\">Yildiz, Dilek, Arkadiusz Wiśniowski, Guy J. Abel, Ingmar Weber, Emilio Zagheni, Cloé Gendronneau, & Stijn Hoorens. “Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union.” International Migration Review. December 2024. \u003Ca href=\"https://tinyurl.com/446hejdf\" data-href=\"https://tinyurl.com/446hejdf\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/446hejdf\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"3882\" id=\"3882\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Estimating bilateral EU migrant stocks by combining traditional data sources like censuses and Labour Force Surveys with Facebook’s Advertising Platform data.\u003C/li>\u003Cli name=\"4dcd\" id=\"4dcd\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Facebook audience size data, collected from self-reported information used to enable advertisers to target campaigns, provided near real-time, granular insights into migrant population.\u003C/li>\u003Cli name=\"2b0c\" id=\"2b0c\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: The statistical model created by the research team generated estimates that closely match available observed data, revealing migration patterns that can inform EU policymakers on mobility trends and migration dynamics and providing further evidence of the utility of incorporating NTD for migration analysis.\u003C/li>\u003C/ul>\u003Ch4 name=\"cf35\" id=\"cf35\" class=\"graf graf--h4 graf-after--li\">Enhancing Haiti’s Disaster Preparedness with Mobility Data\u003C/h4>\u003Cfigure name=\"a3f0\" id=\"a3f0\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*_fyWXAWRyzEIxSyE\" data-width=\"500\" data-height=\"131\" src=\"https://cdn-images-1.medium.com/max/800/0*_fyWXAWRyzEIxSyE\">\u003C/figure>\u003Cp name=\"a80e\" id=\"a80e\" class=\"graf graf--p graf-after--figure\">Flowminder. “Opening up Haiti Mobility Data Platform to Enhance Preparedness and Crisis Response for the 2024 Hurricane Season.” Flowminder News. July 19, 2024.\u003Ca href=\"https://flowminder.org/\" data-href=\"https://flowminder.org/\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>\u003Ca href=\"https://tinyurl.com/bdefuf8w\" data-href=\"https://tinyurl.com/bdefuf8w\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/bdefuf8w\u003C/a>.\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"5775\" id=\"5775\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Supporting disaster preparedness in Haiti by providing updated mobility and population data for humanitarian and development actors.\u003C/li>\u003Cli name=\"8214\" id=\"8214\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Uses pseudonymized mobile phone Call Detail Records, enhanced with survey data, to track population distribution and mobility trends.\u003C/li>\u003Cli name=\"ba78\" id=\"ba78\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Provides insights into population shifts which can aid in assessing exposure to hazards, planning humanitarian interventions, and generating timely crisis reports, contributing to better disaster preparedness and response strategies.\u003C/li>\u003C/ul>\u003Ch3 name=\"d488\" id=\"d488\" class=\"graf graf--h3 graf-after--li\">ENVIRONMENT AND CLIMATE\u003C/h3>\u003Ch4 name=\"0a05\" id=\"0a05\" class=\"graf graf--h4 graf-after--h3\">Measuring the Climate Footprint of Tourism in the Nordics\u003C/h4>\u003Cfigure name=\"b248\" id=\"b248\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*vvmwFFOziY1_I6uL\" data-width=\"500\" data-height=\"257\" src=\"https://cdn-images-1.medium.com/max/800/0*vvmwFFOziY1_I6uL\">\u003C/figure>\u003Cp name=\"06c4\" id=\"06c4\" class=\"graf graf--p graf-after--figure\">Johansen, Kathrine Lindeskov. “Measuring the Climate Footprint of Tourism in the Nordics with SF-MST.” Centre for Regional and Tourism Research (CRT), Denmark. Presented at 8th International Conference on Big Data & Data Science for Official Statistics, Bilbao. June 2024. \u003Ca href=\"https://tinyurl.com/4as5n6yt\" data-href=\"https://tinyurl.com/4as5n6yt\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/4as5n6yt\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"dc27\" id=\"dc27\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Quantifying greenhouse gas emissions from tourism in the Nordics using the Statistical Framework for Measuring the Sustainability of Tourism (SF-MST).\u003C/li>\u003Cli name=\"44db\" id=\"44db\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Combines tourism satellite accounts (TSA), environmental accounts (SEEA), and big data. For international transport, data sources include Call Detail Records, airport statistics, and Google Maps to estimate distances and emissions by transport mode.\u003C/li>\u003Cli name=\"2d15\" id=\"2d15\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Highlights discrepancies in emissions calculations between Nordic countries and emphasizes the need for harmonized methodologies to improve comparability and address data gaps.\u003C/li>\u003C/ul>\u003Ch4 name=\"b566\" id=\"b566\" class=\"graf graf--h4 graf-after--li\">How Energy Data Fuels AI Startups and the Green Transition\u003C/h4>\u003Cp name=\"1d9a\" id=\"1d9a\" class=\"graf graf--p graf-after--h4\">Osimo, David, and Anna Pizzamiglio. “How Energy Data Fuels AI Startups and the Green Transition.” The Lisbon Council.\u003Ca href=\"https://eddie.energy/\" data-href=\"https://eddie.energy/\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>2024 .\u003Ca href=\"https://tinyurl.com/55w7f2zm\" data-href=\"https://tinyurl.com/55w7f2zm\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/55w7f2zm\u003C/a>\u003C/p>\u003Cfigure name=\"a183\" id=\"a183\" class=\"graf graf--figure graf-after--p\">\u003Cimg class=\"graf-image\" data-image-id=\"0*kCWUVRlEhNbH_cXw\" data-width=\"400\" data-height=\"570\" src=\"https://cdn-images-1.medium.com/max/800/0*kCWUVRlEhNbH_cXw\">\u003C/figure>\u003Cul class=\"postList\">\u003Cli name=\"de6b\" id=\"de6b\" class=\"graf graf--li graf-after--figure\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Exploring how granular energy data supports AI innovation and cleantech growth via the EDDIE consortium’s decentralized, open-source energy data space.\u003C/li>\u003Cli name=\"90fd\" id=\"90fd\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Smart meter and IoT data can help optimize energy use, integrate renewables, and stabilize the energy grid.\u003C/li>\u003Cli name=\"4983\" id=\"4983\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Examples like Denmark’s Ento and the EU’s Flexidao demonstrate how startups can potentially accelerate Europe’s green transition and foster a competitive cleantech ecosystem.\u003C/li>\u003C/ul>\u003Ch4 name=\"956b\" id=\"956b\" class=\"graf graf--h4 graf-after--li\">Tracking Private Sector Climate Adaptation Finance\u003C/h4>\u003Cfigure name=\"48c3\" id=\"48c3\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*xhPu3Sbwk9Q3zvVN\" data-width=\"500\" data-height=\"189\" src=\"https://cdn-images-1.medium.com/max/800/0*xhPu3Sbwk9Q3zvVN\">\u003C/figure>\u003Cp name=\"f910\" id=\"f910\" class=\"graf graf--p graf-after--figure\">Connolly, Jake, Morgan Richmond, William Wallock, Sasha Abraham, Neil Chin, and Chris Grant. “Tracking and Mobilizing Private Sector Climate Adaptation Finance.” Climate Policy Initiative.\u003Ca href=\"https://climatepolicyinitiative.org/\" data-href=\"https://climatepolicyinitiative.org/\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>September 25, 2024. \u003Ca href=\"https://tinyurl.com/zhffkjtx\" data-href=\"https://tinyurl.com/zhffkjtx\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/zhffkjtx\u003C/a>.\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"34b6\" id=\"34b6\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Developing a taxonomy and machine learning framework to track private sector investments in climate adaptation, identifying and classifying 165 types of climate adaptation activities.\u003C/li>\u003Cli name=\"4e17\" id=\"4e17\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Corporate policies, insurance premiums, and household spending, combined with machine learning tools which capture flows from private actors, including banks, asset managers, and insurers, which are often missed using traditional methods.\u003C/li>\u003Cli name=\"9c8f\" id=\"9c8f\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Improved visibility into private sector adaptation efforts dispels the narrative of limited business models in adaptation. Findings highlight the private sector’s role in bridging the $212 billion annual adaptation finance gap for developing economies by 2030.\u003C/li>\u003C/ul>\u003Ch3 name=\"5f9a\" id=\"5f9a\" class=\"graf graf--h3 graf-after--li\">URBAN SYSTEMS AND MOBILITY\u003C/h3>\u003Ch4 name=\"238b\" id=\"238b\" class=\"graf graf--h4 graf-after--h3\">New Data Sources and Their Impact on Active Traffic Management\u003C/h4>\u003Cfigure name=\"e572\" id=\"e572\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*oRdfp7oXmcemaM2_\" data-width=\"500\" data-height=\"170\" src=\"https://cdn-images-1.medium.com/max/800/0*oRdfp7oXmcemaM2_\">\u003C/figure>\u003Cp name=\"b0e4\" id=\"b0e4\" class=\"graf graf--p graf-after--figure\">National Academies of Sciences, Engineering, and Medicine. “Developing a Planning and Evaluation Guide for Active Traffic Management Strategies. Appendix B: White Paper on New Data Sources and Their Impact on ATM.” The National Academies Press. 2024. \u003Ca href=\"https://tinyurl.com/nz6wm25u\" data-href=\"https://tinyurl.com/nz6wm25u\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/nz6wm25u\u003C/a>.\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"6727\" id=\"6727\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Examining emerging data sources for traffic optimization.\u003C/li>\u003Cli name=\"2476\" id=\"2476\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Integrating data from connected travelers, vehicles, and advanced tools like sensors and high-definition maps provide real-time traffic insights, while big data tools enable scalable storage, processing, and improved decision-making.\u003C/li>\u003Cli name=\"7ac0\" id=\"7ac0\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Despite challenges, these tools promise expanded geographic coverage and reduced costs for smaller agencies, as well as improved safety and efficiency.\u003C/li>\u003C/ul>\u003Ch4 name=\"a2ed\" id=\"a2ed\" class=\"graf graf--h4 graf-after--li\">Urban Freight Data Innovations: ANPR, Delivery Apps, and Truck Pricing\u003C/h4>\u003Cfigure name=\"af95\" id=\"af95\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*2cEckt5j9rJOSdsW\" data-width=\"500\" data-height=\"226\" src=\"https://cdn-images-1.medium.com/max/800/0*2cEckt5j9rJOSdsW\">\u003C/figure>\u003Cp name=\"0d6c\" id=\"0d6c\" class=\"graf graf--p graf-after--figure\">Dablanc, Laetitia and François Adoue. “New ways of collecting urban freight traffic data and applications for urban freight policies and research.” Case Studies on Transport Policy, Volume 19.\u003Ca href=\"https://doi.org/10.1016/j.cstp.2024.101315\" data-href=\"https://doi.org/10.1016/j.cstp.2024.101315\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>March 2025. \u003Ca href=\"https://doi.org/10.1016/j.cstp.2024.101315\" data-href=\"https://doi.org/10.1016/j.cstp.2024.101315\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://doi.org/10.1016/j.cstp.2024.101315\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"3de5\" id=\"3de5\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Examining new urban freight data collection methods in Rotterdam (ANPR cameras), Barcelona (delivery app), and Brussels (truck GPS data).\u003C/li>\u003Cli name=\"25cd\" id=\"25cd\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Non-Traditional Data\u003C/strong>: Automated number plate recognition (ANPR) cameras, delivery apps, and GPS provided real-time freight insights, improving enforcement and parking management, but face hurdles like privacy, data-sharing limits, and inconsistent quality.\u003C/li>\u003Cli name=\"2217\" id=\"2217\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Better data can inform policy development and implementation in low-emission zones, delivery zone management, and freight monitoring, aiding cities in addressing inefficiencies and sustainability goals.\u003C/li>\u003C/ul>\u003Ch4 name=\"b128\" id=\"b128\" class=\"graf graf--h4 graf-after--li\">Using Facebook Data to Analyze Counter-Urbanization Trends\u003C/h4>\u003Cfigure name=\"59b4\" id=\"59b4\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*oGo9sdbGeQgvMQR5\" data-width=\"500\" data-height=\"213\" src=\"https://cdn-images-1.medium.com/max/800/0*oGo9sdbGeQgvMQR5\">\u003C/figure>\u003Cp name=\"d6a2\" id=\"d6a2\" class=\"graf graf--p graf-after--figure\">Duan, Qianwen, Jessica Steele, Zhifeng Cheng, et al. “Identifying Counter- Urbanisation Using Facebook’s User Count Data.” Habitat International 150 (2024): 103113. June 4, 2024.\u003Ca href=\"https://doi.org/10.1016/j.habitatint.2024.103113\" data-href=\"https://doi.org/10.1016/j.habitatint.2024.103113\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> DOI: 10.1016/j.habitatint.2024.103113\u003C/a>.\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"7f30\" id=\"7f30\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Examining counter-urbanization trends in Belgium and Thailand by analyzing population redistribution from urban to rural areas during and after the COVID-19 pandemic.\u003C/li>\u003Cli name=\"92c1\" id=\"92c1\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Facebook user count data provided real-time insights into population shifts, supplemented by imputation for missing data.\u003C/li>\u003Cli name=\"00a5\" id=\"00a5\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Findings revealed sustained rural migration in Belgium, while Thailand’s rural shifts were temporary. The study emphasizes social media data’s utility in understanding nuanced population trends in different contexts.\u003C/li>\u003C/ul>\u003Ch4 name=\"70fc\" id=\"70fc\" class=\"graf graf--h4 graf-after--li\">Human Mobility Amid Natural Hazards\u003C/h4>\u003Cfigure name=\"068c\" id=\"068c\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*J2WNQcOYENHHuDjJ\" data-width=\"500\" data-height=\"232\" src=\"https://cdn-images-1.medium.com/max/800/0*J2WNQcOYENHHuDjJ\">\u003C/figure>\u003Cp name=\"db87\" id=\"db87\" class=\"graf graf--p graf-after--figure\">He, Zeyu, Yujie Hu, Leo L. Duan, & George Michailidis. “Returners and Explorers Dichotomy in the Face of Natural Hazards.” Scientific Reports 14, Article 13184 (2024). June 8, 2024. \u003Ca href=\"https://tinyurl.com/mr3ukzn8\" data-href=\"https://tinyurl.com/mr3ukzn8\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/mr3ukzn8\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"c31b\" id=\"c31b\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Analyzed the persistence of mobility patterns (returners and explorers) in Lee County, Florida during Hurricane Ian.\u003C/li>\u003Cli name=\"88bc\" id=\"88bc\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Researchers used anonymized high-resolution mobile phone data, which provided granular, near-real-time insights into human movement patterns.\u003C/li>\u003Cli name=\"5de1\" id=\"5de1\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Demonstrated how evacuation behaviors and mobility traits adapt during hurricanes, offering insights for emergency planning, evacuation strategies, and resource allocation for disaster resilience.\u003C/li>\u003C/ul>\u003Ch4 name=\"51a5\" id=\"51a5\" class=\"graf graf--h4 graf-after--li\">Unlocking Mobility Insights and Open Data\u003C/h4>\u003Cfigure name=\"23e1\" id=\"23e1\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*x1ugtoXYt_dYqot9\" data-width=\"500\" data-height=\"277\" src=\"https://cdn-images-1.medium.com/max/800/0*x1ugtoXYt_dYqot9\">\u003C/figure>\u003Cp name=\"ebd2\" id=\"ebd2\" class=\"graf graf--p graf-after--figure\">Industry Data for Society Partnership (IDSP). “Year in Review 2024.” IDSP. December 2024.\u003Ca href=\"https://www.industrydataforsociety.com/uploads/2024/12/IDSP-Year-In-Review-2024.pdf\" data-href=\"https://www.industrydataforsociety.com/uploads/2024/12/IDSP-Year-In-Review-2024.pdf\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> https://www.industrydataforsociety.com/uploads/2024/12/IDSP-Year-In-Review-2024.pdf\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"1ad5\" id=\"1ad5\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Telefónica Tech collaborates with National Statistical Offices around the world, using anonymized mobile phone data to monitor tourism, commuting, and urban movement.\u003C/li>\u003Cli name=\"9c1e\" id=\"9c1e\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Leverages aggregated mobile data to deliver real-time insights into population mobility, complementing traditional statistics.\u003C/li>\u003Cli name=\"76b9\" id=\"76b9\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Telefónica’s collaborations demonstrate the potential of anonymized mobile phone data in enhancing our thank you!understanding of population mobility. At the same time, a key outcome is the establishment of an open data ecosystem, where mobility insights are made publicly accessible, fostering innovation and broader societal benefits.\u003C/li>\u003C/ul>\u003Ch3 name=\"5a27\" id=\"5a27\" class=\"graf graf--h3 graf-after--li\">ECONOMIC AND LABOR DYNAMICS\u003C/h3>\u003Ch4 name=\"6a85\" id=\"6a85\" class=\"graf graf--h4 graf-after--h3\">Real-Time Insights into ICT Sector Growth\u003C/h4>\u003Cfigure name=\"54f2\" id=\"54f2\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*84eOlfyGc1G5-Ofd\" data-width=\"500\" data-height=\"277\" src=\"https://cdn-images-1.medium.com/max/800/0*84eOlfyGc1G5-Ofd\">\u003C/figure>\u003Cp name=\"c7ce\" id=\"c7ce\" class=\"graf graf--p graf-after--figure\">Lesher, Molly. 5th International Seminar on Big Data for Official Statistics, 29–31. Xiamen, China. May 2024.\u003Ca href=\"https://doi.org/10.1787/eb4938a0-en\" data-href=\"https://doi.org/10.1787/eb4938a0-en\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> \u003C/a>\u003Ca href=\"https://tinyurl.com/4th8cn7f\" data-href=\"https://tinyurl.com/4th8cn7f\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\">https://tinyurl.com/4th8cn7f\u003C/a>\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"d857\" id=\"d857\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Developed a machine learning model to nowcast real-time ICT sector growth.\u003C/li>\u003Cli name=\"26b8\" id=\"26b8\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Used Google Trends’ monthly Search Volume Index to complement traditional OECD estimates.\u003C/li>\u003Cli name=\"7f86\" id=\"7f86\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Model captured more timely, sector-specific signals that allow for improved measurement precision and relevance.\u003C/li>\u003C/ul>\u003Ch4 name=\"638e\" id=\"638e\" class=\"graf graf--h4 graf-after--li\">Quantifying the Effect of Striking on Grocery Store Foot Traffic\u003C/h4>\u003Cfigure name=\"6679\" id=\"6679\" class=\"graf graf--figure graf-after--h4\">\u003Cimg class=\"graf-image\" data-image-id=\"0*8PO0V4TOZpHq0MrD\" data-width=\"500\" data-height=\"226\" src=\"https://cdn-images-1.medium.com/max/800/0*8PO0V4TOZpHq0MrD\">\u003C/figure>\u003Cp name=\"711c\" id=\"711c\" class=\"graf graf--p graf-after--figure\">Post, Phillip. “Quantifying the Effect of Striking with Picketing on Grocery Store Foot Traffic.” EPJ Data Science, vol. 13, article 59. September 27, 2024.\u003Ca href=\"https://doi.org/10.1140/epjds/s13688-024-00495-w\" data-href=\"https://doi.org/10.1140/epjds/s13688-024-00495-w\" class=\"markup--anchor markup--p-anchor\" rel=\"noopener\" target=\"_blank\"> https://doi.org/10.1140/epjds/s13688-024-00495-w\u003C/a>.\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"963f\" id=\"963f\" class=\"graf graf--li graf-after--p\">\u003Cstrong class=\"markup--strong markup--li-strong\">Focus\u003C/strong>: Investigating the impact of striking and picketing on consumer behavior using foot traffic data from 78 striking King Soopers grocery stores in Colorado.\u003C/li>\u003Cli name=\"8139\" id=\"8139\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Role of Non-Traditional Data\u003C/strong>: Utilized mobile geolocation data from SafeGraph, paired with SARIMA modeling, to quantify foot traffic changes during the 2022 strike.\u003C/li>\u003Cli name=\"b0a6\" id=\"b0a6\" class=\"graf graf--li graf-after--li\">\u003Cstrong class=\"markup--strong markup--li-strong\">Impact\u003C/strong>: Demonstrated a significant average 47% decrease in foot traffic at striking stores, with a 14% decrease at non-striking locations, providing quantifiable insights into the economic effects of picketing.\u003C/li>\u003C/ul>\u003Ch3 name=\"64e0\" id=\"64e0\" class=\"graf graf--h3 graf-after--li\">Reflections\u003C/h3>\u003Cp name=\"65e3\" id=\"65e3\" class=\"graf graf--p graf-after--h3\">The above use cases illustrate that non-traditional data is increasingly being recognized as a valuable resource for addressing complex societal challenges, offering insights that traditional data sources alone often cannot provide. In addition, our curation indicates that:\u003C/p>\u003Cul class=\"postList\">\u003Cli name=\"f94c\" id=\"f94c\" class=\"graf graf--li graf-after--p\">Most use cases which we managed to identify originate from academic research or public institutions such as official statistics agencies.\u003C/li>\u003Cli name=\"da19\" id=\"da19\" class=\"graf graf--li graf-after--li\">Health is still the leading sector for re-using non-traditional data such as mobile geolocation, or digital biomarkers.\u003C/li>\u003Cli name=\"227e\" id=\"227e\" class=\"graf graf--li graf-after--li\">Effective partnerships, such as those between Meta and OCHA referenced above; Cuebiq’s \u003Ca href=\"https://www.cuebiq.com/about/data-for-good/\" data-href=\"https://www.cuebiq.com/about/data-for-good/\" class=\"markup--anchor markup--li-anchor\" rel=\"noopener\" target=\"_blank\">Data for Good\u003C/a> partnerships; the \u003Ca href=\"https://www.industrydataforsociety.com/\" data-href=\"https://www.industrydataforsociety.com/\" class=\"markup--anchor markup--li-anchor\" rel=\"noopener\" target=\"_blank\">Industry Data for Society Partnership\u003C/a>; and the Worldbank’s \u003Ca href=\"https://datapartnership.org/\" data-href=\"https://datapartnership.org/\" class=\"markup--anchor markup--li-anchor\" rel=\"noopener\" target=\"_blank\">Development Data Partnership\u003C/a>, demonstrate the value of collaboration in unlocking data’s potential.\u003C/li>\u003Cli name=\"aef2\" id=\"aef2\" class=\"graf graf--li graf-after--li\">Linking non-traditional datasets with traditional ones (e.g., health or census data) amplifies their value, as seen in studies of public health disparities and environmental monitoring.\u003C/li>\u003Cli name=\"dfd9\" id=\"dfd9\" class=\"graf graf--li graf-after--li\">Combining non-traditional datasets, such as linking loyalty card transactions with on-line health records in the UK or integrating mobility and flood data in Italy, provides for more actionable findings.\u003C/li>\u003Cli name=\"d7cf\" id=\"d7cf\" class=\"graf graf--li graf-after--li\">Many promising applications, such as using search patterns for early disease detection or leveraging digital footprint data, remain in experimental or pilot stages.\u003C/li>\u003Cli name=\"d760\" id=\"d760\" class=\"graf graf--li graf-after--li graf--trailing\">To move beyond pilots, investments in infrastructure, capacity-building, and long-term partnerships are needed. In particular, data stewards can play a crucial role as the human infrastructure that can support data analysts and researchers in recognizing opportunities for collaboration and structuring access to data for re-use responsibly and systematically.\u003C/li>\u003C/ul>\u003C/div>\u003C/div>\u003C/section>\n",{},"/blogposts/innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value",{"title":40,"description":45},"innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value","blogposts/innovating-with-non-traditional-data-recent-use-cases-for-unlocking-public-value","85wM3bmTzh1t2bFDvQhtnpt5PRhcGMyLBvjm6qgaH0U",[57,70,84,99,113,126,138,150,163,175,189,201,213,225,237,249,261,271,283,297,310,323,336,347,359,373,388,401,414,427,440,453,462,475,487,499,512,525,537,549,561,573,586,599,611,623,636,647,658,672,685,699,710,723,734,747,759,771,783,796,808,820,834,847,860,872,884,896,908,920,932,944,956,969,981,993,1007,1019,1031,1042,1056,1069,1083,1095,1108,1120,1132,1144,1156,1166,1178,1190,1202,1215,1227,1239,1254,1266,1278,1292,1304,1318,1332,1345,1358,1370,1383,1395,1407,1419,1431,1444,1456,1469,1480,1491,1505,1518,1530,1542,1554,1565,1577,1588],{"id":58,"title":59,"affiliation":34,"bio":60,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":62,"legacy":47,"linkedin":34,"meta":63,"name":59,"navigation":15,"path":65,"photo":34,"role":66,"seo":67,"stem":68,"topic":34,"website":34,"__hash__":69},"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":64},"adam-zable","/faculty/adam-zable","Research Fellow",{},"faculty/adam-zable","5bR3wydz1eXMWjD7PSD8j4im9GZM7_x4k8iz5TN85Dw",{"id":71,"title":72,"affiliation":34,"bio":73,"body":34,"category":74,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":75,"legacy":15,"linkedin":76,"meta":77,"name":72,"navigation":15,"path":79,"photo":34,"role":80,"seo":81,"stem":82,"topic":34,"website":34,"__hash__":83},"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":78},"adrienne-schmoeker","/faculty/adrienne-schmoeker","Course Advisor",{},"faculty/adrienne-schmoeker","z_7IPuXoKOHDOgpFTsSqBY_T1QYYDk0kAWowjYGC3ow",{"id":85,"title":86,"affiliation":87,"bio":34,"body":34,"category":88,"cohort":89,"description":34,"expertise":34,"extension":46,"headshot":34,"image":90,"legacy":47,"linkedin":91,"meta":92,"name":86,"navigation":15,"path":94,"photo":34,"role":34,"seo":95,"stem":96,"topic":97,"website":34,"__hash__":98},"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":93},"alex-hutchison","/faculty/alex-hutchison",{},"faculty/alex-hutchison","Impact Measurement & Work of Data for Children Collaborative","Q6zJ9wxOc_kYKt4uhkMYd9u3Ptug0EKTJWUmU75-NX4",{"id":100,"title":101,"affiliation":102,"bio":34,"body":34,"category":88,"cohort":103,"description":34,"expertise":34,"extension":46,"headshot":34,"image":104,"legacy":15,"linkedin":105,"meta":106,"name":101,"navigation":15,"path":108,"photo":34,"role":34,"seo":109,"stem":110,"topic":111,"website":34,"__hash__":112},"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":107},"alex-pompe","/faculty/alex-pompe",{},"faculty/alex-pompe","Data powered collaborations for social good & Meta's Data for Good Work","NxXESqPg21h7BH-7afZnYJ00dZxFvjnMPJZFkxAyNPY",{"id":114,"title":115,"affiliation":116,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":118,"legacy":15,"linkedin":119,"meta":120,"name":115,"navigation":15,"path":122,"photo":34,"role":34,"seo":123,"stem":124,"topic":34,"website":34,"__hash__":125},"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":121},"alison-paprica","/faculty/alison-paprica",{},"faculty/alison-paprica","GdVZUxEJDplSSVWpxCQFaDliddUXHhtXXbk2BbtBQeA",{"id":127,"title":128,"affiliation":129,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":130,"legacy":15,"linkedin":131,"meta":132,"name":128,"navigation":15,"path":134,"photo":34,"role":34,"seo":135,"stem":136,"topic":34,"website":34,"__hash__":137},"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":133},"amen-ra-mashariki","/faculty/amen-ra-mashariki",{},"faculty/amen-ra-mashariki","B9EIq50RRHe6ou-4B7T6sCncR2ahTJxjNa8CKUzSMHg",{"id":139,"title":140,"affiliation":141,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":142,"legacy":15,"linkedin":143,"meta":144,"name":140,"navigation":15,"path":146,"photo":34,"role":34,"seo":147,"stem":148,"topic":34,"website":34,"__hash__":149},"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":145},"amy-regas","/faculty/amy-regas",{},"faculty/amy-regas","YdWm44wcLD4bmciE5cbyAEjZTvsqHUtaxZLa3Hsy1I4",{"id":151,"title":152,"affiliation":153,"bio":34,"body":34,"category":88,"cohort":103,"description":34,"expertise":34,"extension":46,"headshot":34,"image":154,"legacy":47,"linkedin":155,"meta":156,"name":152,"navigation":15,"path":158,"photo":34,"role":34,"seo":159,"stem":160,"topic":161,"website":34,"__hash__":162},"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":157},"andrea-zaramella","/faculty/andrea-zaramella",{},"faculty/andrea-zaramella","Use of TELCO Data for Impact Evaluation","VkhRswUzIdWPshGjj7Js6ub9aLPKoPWBg3C4mMWCB68",{"id":164,"title":165,"affiliation":166,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":167,"legacy":15,"linkedin":168,"meta":169,"name":165,"navigation":15,"path":171,"photo":34,"role":34,"seo":172,"stem":173,"topic":34,"website":34,"__hash__":174},"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":170},"andrew-collinge","/faculty/andrew-collinge",{},"faculty/andrew-collinge","CJI_-FFIpM7E761MupRMJsu5qZDTThFIU9aiNR1X2s0",{"id":176,"title":177,"affiliation":34,"bio":178,"body":34,"category":74,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":179,"legacy":47,"linkedin":180,"meta":181,"name":183,"navigation":15,"path":184,"photo":34,"role":185,"seo":186,"stem":187,"topic":34,"website":34,"__hash__":188},"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":182},"andrew-j-zahuranec","Andrew J. Zahuranec","/faculty/andrew-j-zahuranec","Course Facilitator",{},"faculty/andrew-j-zahuranec","yzaZQzcLZDC1c1DhsU9KAioBGaCIWd8NOlZVK5ui2Vw",{"id":190,"title":191,"affiliation":34,"bio":192,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":193,"legacy":47,"linkedin":34,"meta":194,"name":191,"navigation":15,"path":196,"photo":34,"role":197,"seo":198,"stem":199,"topic":34,"website":34,"__hash__":200},"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. 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University","https://cms.thegovlab.com/assets/e8770782-607b-4f62-8076-7980c7a7173f","https://www.linkedin.com/in/julia-stoyanovich-b184851/",{"slug":915},"julia-stoyanovich","/faculty/julia-stoyanovich",{},"faculty/julia-stoyanovich","Gw1KbXq3FyB0quxq7VTlz_EgLKDJlJrlDiEl2LQ0J0c",{"id":921,"title":922,"affiliation":923,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":924,"legacy":15,"linkedin":925,"meta":926,"name":922,"navigation":15,"path":928,"photo":34,"role":34,"seo":929,"stem":930,"topic":34,"website":34,"__hash__":931},"faculty/faculty/kersten-jauer.json","Kersten Jauer","United 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Labs","https://cms.thegovlab.com/assets/9e77bd5c-c6c1-4c2f-a4d9-c4090b3afe85","https://www.linkedin.com/in/krishnasood/",{"slug":951},"krishna-sood","/faculty/krishna-sood",{},"faculty/krishna-sood","opraoQU0aFXNDlQSfuBwOR_Ojbg955KK5UkNt-nvVE4",{"id":957,"title":958,"affiliation":959,"bio":34,"body":34,"category":88,"cohort":103,"description":34,"expertise":34,"extension":46,"headshot":34,"image":960,"legacy":47,"linkedin":961,"meta":962,"name":958,"navigation":15,"path":964,"photo":34,"role":34,"seo":965,"stem":966,"topic":967,"website":34,"__hash__":968},"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":963},"leonardo-camiciotti","/faculty/leonardo-camiciotti",{},"faculty/leonardo-camiciotti","Top IX Consortium on Data Spaces & Impact 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America","https://cms.thegovlab.com/assets/b5553bc1-fcf2-4012-b359-3e6d08b95202","https://www.linkedin.com/in/lcoral/",{"slug":976},"lilian-coral","/faculty/lilian-coral",{},"faculty/lilian-coral","PFVGbRvqYy1KzELxWJoua5jrbJnMNUzlngzC92NPKF4",{"id":982,"title":983,"affiliation":984,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":985,"legacy":15,"linkedin":986,"meta":987,"name":983,"navigation":15,"path":989,"photo":34,"role":34,"seo":990,"stem":991,"topic":34,"website":34,"__hash__":992},"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":988},"lisa-moretti","/faculty/lisa-moretti",{},"faculty/lisa-moretti","EV8XLcbAFAoKtBzuzfT85iXeQ49CT2LH-2tTPcZln8I",{"id":994,"title":995,"affiliation":996,"bio":34,"body":34,"category":88,"cohort":997,"description":34,"expertise":34,"extension":46,"headshot":34,"image":998,"legacy":15,"linkedin":999,"meta":1000,"name":995,"navigation":15,"path":1002,"photo":34,"role":34,"seo":1003,"stem":1004,"topic":1005,"website":34,"__hash__":1006},"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":1001},"ludovica-paseri","/faculty/ludovica-paseri",{},"faculty/ludovica-paseri","Legal Implications to Data 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Innovation","https://cms.thegovlab.com/assets/453663e1-2ae9-4767-b18d-40c689edd62f","https://www.linkedin.com/in/lynn-overmann-325bb432/",{"slug":1014},"lynn-overmann","/faculty/lynn-overmann",{},"faculty/lynn-overmann","T_4VBcHNBpT91i3OLMPlturz60ufyjOayd4Wu5Y0s5E",{"id":1020,"title":1021,"affiliation":1022,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1023,"legacy":15,"linkedin":1024,"meta":1025,"name":1021,"navigation":15,"path":1027,"photo":34,"role":34,"seo":1028,"stem":1029,"topic":34,"website":34,"__hash__":1030},"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":1026},"marc-lepage","/faculty/marc-lepage",{},"faculty/marc-lepage","JCDw1BHIBhdOfzo1coSP7TDfQgIgSwdNw8P2txPefxY",{"id":1032,"title":1033,"affiliation":576,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1034,"legacy":15,"linkedin":1035,"meta":1036,"name":1033,"navigation":15,"path":1038,"photo":34,"role":34,"seo":1039,"stem":1040,"topic":34,"website":34,"__hash__":1041},"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":1037},"marcus-bartley-johns","/faculty/marcus-bartley-johns",{},"faculty/marcus-bartley-johns","6ezX8H4I7u6nV0D1iKncL_l-M-af7CYPz9NXFU1iaAk",{"id":1043,"title":1044,"affiliation":1045,"bio":34,"body":34,"category":88,"cohort":662,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1046,"legacy":47,"linkedin":1047,"meta":1048,"name":1050,"navigation":15,"path":1051,"photo":34,"role":34,"seo":1052,"stem":1053,"topic":1054,"website":34,"__hash__":1055},"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":1049},"martin-pompery","Martin Pompéry","/faculty/martin-pompery",{},"faculty/martin-pompery","Data Commons (Governance and Technical Infrastructure)","tjuo0EubXDpXzFAIg_QIbXCZltPEmfV5O6BB2OiGxgk",{"id":1057,"title":1058,"affiliation":34,"bio":1059,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1060,"legacy":47,"linkedin":1061,"meta":1062,"name":1064,"navigation":15,"path":1065,"photo":34,"role":34,"seo":1066,"stem":1067,"topic":34,"website":34,"__hash__":1068},"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":1063},"martin-stewart-weeks","Martin Stewart-Weeks","/faculty/martin-stewart-weeks",{},"faculty/martin-stewart-weeks","nuHbo3Pfrch0Q_uq8-nDe3bEo8ZnLVP1A8Psh91GOYc",{"id":1070,"title":1071,"affiliation":1072,"bio":34,"body":34,"category":88,"cohort":89,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1073,"legacy":47,"linkedin":1074,"meta":1075,"name":1077,"navigation":15,"path":1078,"photo":34,"role":34,"seo":1079,"stem":1080,"topic":1081,"website":34,"__hash__":1082},"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":1076},"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":1084,"title":1085,"affiliation":1086,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1087,"legacy":15,"linkedin":1088,"meta":1089,"name":1085,"navigation":15,"path":1091,"photo":34,"role":34,"seo":1092,"stem":1093,"topic":34,"website":34,"__hash__":1094},"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":1090},"michael-khoo","/faculty/michael-khoo",{},"faculty/michael-khoo","vRl_-AO0A8xraN5t_Y_XgR1EMzL-G9WpJKI9LRhnKSM",{"id":1096,"title":1097,"affiliation":1098,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1099,"legacy":15,"linkedin":1100,"meta":1101,"name":1103,"navigation":15,"path":1104,"photo":34,"role":34,"seo":1105,"stem":1106,"topic":34,"website":34,"__hash__":1107},"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":1102},"michael-p-canares","Michael P. Cañares","/faculty/michael-p-canares",{},"faculty/michael-p-canares","6BbSAcLd0R0TuJaYMZ_bcmUHcwp5VrQCMy2iTB6QXlU",{"id":1109,"title":1110,"affiliation":34,"bio":1111,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1112,"legacy":47,"linkedin":34,"meta":1113,"name":1110,"navigation":15,"path":1115,"photo":34,"role":1116,"seo":1117,"stem":1118,"topic":34,"website":34,"__hash__":1119},"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":1114},"michelle-winowatan","/faculty/michelle-winowatan","Research Assistant",{},"faculty/michelle-winowatan","ntoprYtYdb69qzeOoDH0OIZRyYocJVD0uWd0qtFkRIA",{"id":1121,"title":1122,"affiliation":1123,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1124,"legacy":15,"linkedin":1125,"meta":1126,"name":1122,"navigation":15,"path":1128,"photo":34,"role":34,"seo":1129,"stem":1130,"topic":34,"website":34,"__hash__":1131},"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":1127},"natalia-adler","/faculty/natalia-adler",{},"faculty/natalia-adler","x3XYVJctiWzq4vPbSnpRVYZqJf4wJGw9XvT1lhOUHyk",{"id":1133,"title":1134,"affiliation":1135,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1136,"legacy":15,"linkedin":1137,"meta":1138,"name":1134,"navigation":15,"path":1140,"photo":34,"role":34,"seo":1141,"stem":1142,"topic":34,"website":34,"__hash__":1143},"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":1139},"natalia-carfi","/faculty/natalia-carfi",{},"faculty/natalia-carfi","DWP3TEtP8jvPaTnVAcRhfUa81L0oknuD_Ov4ueMyB0s",{"id":1145,"title":1146,"affiliation":1147,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1148,"legacy":15,"linkedin":1149,"meta":1150,"name":1146,"navigation":15,"path":1152,"photo":34,"role":34,"seo":1153,"stem":1154,"topic":34,"website":34,"__hash__":1155},"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":1151},"natalia-domagala","/faculty/natalia-domagala",{},"faculty/natalia-domagala","z4UoxPAvcyt_19R6WsXAwqQ8KG3FlKWI1Df9ceQ2OAk",{"id":1157,"title":1158,"affiliation":34,"bio":34,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":34,"legacy":47,"linkedin":34,"meta":1159,"name":1161,"navigation":15,"path":1162,"photo":34,"role":34,"seo":1163,"stem":1164,"topic":34,"website":34,"__hash__":1165},"faculty/faculty/natalia-gonzalez-alarcon.json","Natalia Gonzalez Alarcon",{"slug":1160},"natalia-gonzalez-alarcon","Natalia González Alarcón","/faculty/natalia-gonzalez-alarcon",{},"faculty/natalia-gonzalez-alarcon","5_O4v0eHO9xJcxtyU5BUk1_2r3V-ybOjkdqGq_DXddQ",{"id":1167,"title":1168,"affiliation":1169,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1170,"legacy":15,"linkedin":1171,"meta":1172,"name":1168,"navigation":15,"path":1174,"photo":34,"role":34,"seo":1175,"stem":1176,"topic":34,"website":34,"__hash__":1177},"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":1173},"nick-hart","/faculty/nick-hart",{},"faculty/nick-hart","nr_yHL5OvAPmgt58TYw04NVjf19AvCLixDQ-ZMwuRko",{"id":1179,"title":1180,"affiliation":1181,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1182,"legacy":15,"linkedin":1183,"meta":1184,"name":1180,"navigation":15,"path":1186,"photo":34,"role":34,"seo":1187,"stem":1188,"topic":34,"website":34,"__hash__":1189},"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":1185},"nicolas-schifano","/faculty/nicolas-schifano",{},"faculty/nicolas-schifano","4rKkBJGscyHEf8wdKvX5iTd--IdVRMqrSf7EtvF_M6g",{"id":1191,"title":1192,"affiliation":1193,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1194,"legacy":15,"linkedin":1195,"meta":1196,"name":1192,"navigation":15,"path":1198,"photo":34,"role":34,"seo":1199,"stem":1200,"topic":34,"website":34,"__hash__":1201},"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":1197},"nigel-jacob","/faculty/nigel-jacob",{},"faculty/nigel-jacob","2p7Bz3gycQDE6ffGBxPzAkMwBrWHVA5ZrOR6huMWsIs",{"id":1203,"title":1204,"affiliation":1205,"bio":34,"body":34,"category":88,"cohort":377,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1206,"legacy":47,"linkedin":1207,"meta":1208,"name":1204,"navigation":15,"path":1210,"photo":34,"role":34,"seo":1211,"stem":1212,"topic":1213,"website":34,"__hash__":1214},"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":1209},"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":1216,"title":1217,"affiliation":1218,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1219,"legacy":15,"linkedin":1220,"meta":1221,"name":1217,"navigation":15,"path":1223,"photo":34,"role":34,"seo":1224,"stem":1225,"topic":34,"website":34,"__hash__":1226},"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":1222},"paul-ko","/faculty/paul-ko",{},"faculty/paul-ko","xQQ0r2in4ZYZPu4O9cD4VvGB4veSoNYrx0eo5AZTaCk",{"id":1228,"title":1229,"affiliation":34,"bio":1230,"body":34,"category":74,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1231,"legacy":47,"linkedin":1232,"meta":1233,"name":1229,"navigation":15,"path":1235,"photo":34,"role":185,"seo":1236,"stem":1237,"topic":34,"website":34,"__hash__":1238},"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":1234},"paulina-behluli","/faculty/paulina-behluli",{},"faculty/paulina-behluli","KzMq7h-4JXW4j4bYqqTkIXwnl5QhtGb3qLT3UDEYy8Q",{"id":1240,"title":1241,"affiliation":1242,"bio":34,"body":34,"category":88,"cohort":1243,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1244,"legacy":47,"linkedin":1245,"meta":1246,"name":1248,"navigation":15,"path":1249,"photo":34,"role":34,"seo":1250,"stem":1251,"topic":1252,"website":34,"__hash__":1253},"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":1247},"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":1255,"title":1256,"affiliation":1257,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1258,"legacy":15,"linkedin":1259,"meta":1260,"name":1256,"navigation":15,"path":1262,"photo":34,"role":34,"seo":1263,"stem":1264,"topic":34,"website":34,"__hash__":1265},"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":1261},"peter-lovelock","/faculty/peter-lovelock",{},"faculty/peter-lovelock","T-0rMxQjEpVL0gBDJT3nu7rEeXXiZmVcF30aB_OECzk",{"id":1267,"title":1268,"affiliation":1269,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1270,"legacy":15,"linkedin":1271,"meta":1272,"name":1268,"navigation":15,"path":1274,"photo":34,"role":34,"seo":1275,"stem":1276,"topic":34,"website":34,"__hash__":1277},"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":1273},"peter-rabley","/faculty/peter-rabley",{},"faculty/peter-rabley","DJ0hn_3mdyNHFgwu8wiVLPcziiRfljHClrWpRzW-3J4",{"id":1279,"title":1280,"affiliation":1281,"bio":34,"body":34,"category":88,"cohort":377,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1282,"legacy":47,"linkedin":1283,"meta":1284,"name":1286,"navigation":15,"path":1287,"photo":34,"role":34,"seo":1288,"stem":1289,"topic":1290,"website":34,"__hash__":1291},"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":1285},"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":1293,"title":1294,"affiliation":1295,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1296,"legacy":15,"linkedin":1297,"meta":1298,"name":1294,"navigation":15,"path":1300,"photo":34,"role":34,"seo":1301,"stem":1302,"topic":34,"website":34,"__hash__":1303},"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":1299},"pieter-de-leenheer","/faculty/pieter-de-leenheer",{},"faculty/pieter-de-leenheer","nAiKM_c4vT7YgMB6xtyozZ0sSP1dSe2FBYyadFwzBYI",{"id":1305,"title":1306,"affiliation":1307,"bio":34,"body":34,"category":88,"cohort":363,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1308,"legacy":47,"linkedin":1309,"meta":1310,"name":1312,"navigation":15,"path":1313,"photo":34,"role":34,"seo":1314,"stem":1315,"topic":1316,"website":34,"__hash__":1317},"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":1311},"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":1319,"title":1320,"affiliation":1321,"bio":34,"body":34,"category":88,"cohort":363,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1322,"legacy":47,"linkedin":1323,"meta":1324,"name":1326,"navigation":15,"path":1327,"photo":34,"role":34,"seo":1328,"stem":1329,"topic":1330,"website":34,"__hash__":1331},"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":1325},"prof-ingmar-weber","Prof. Ingmar Weber","/faculty/prof-ingmar-weber",{},"faculty/prof-ingmar-weber","Computing for Society/Social Good","ePpzAhfnIE9mCjxcBmbJGDxpIVRb0-hToWFYEWasY5s",{"id":1333,"title":1334,"affiliation":34,"bio":1335,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1336,"legacy":47,"linkedin":1337,"meta":1338,"name":1340,"navigation":15,"path":1341,"photo":34,"role":34,"seo":1342,"stem":1343,"topic":34,"website":34,"__hash__":1344},"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":1339},"professor-brian-head-fassa","Professor Brian Head FASSA","/faculty/professor-brian-head-fassa",{},"faculty/professor-brian-head-fassa","ISkmG6eQk4OVvOmFtV0GLkG0lVzQklOWBOHA0Rio7h8",{"id":1346,"title":1347,"affiliation":34,"bio":1348,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1349,"legacy":47,"linkedin":1350,"meta":1351,"name":1353,"navigation":15,"path":1354,"photo":34,"role":34,"seo":1355,"stem":1356,"topic":34,"website":34,"__hash__":1357},"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":1352},"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":1359,"title":1360,"affiliation":1361,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1362,"legacy":15,"linkedin":1363,"meta":1364,"name":1360,"navigation":15,"path":1366,"photo":34,"role":34,"seo":1367,"stem":1368,"topic":34,"website":34,"__hash__":1369},"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":1365},"rachel-wells","/faculty/rachel-wells",{},"faculty/rachel-wells","Zd9QUrN8U6ZrsSjhy-DLWFIY0ZYcw7MdP2uG5IdoZDs",{"id":1371,"title":1372,"affiliation":1373,"bio":34,"body":34,"category":88,"cohort":363,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1374,"legacy":47,"linkedin":1375,"meta":1376,"name":1372,"navigation":15,"path":1378,"photo":34,"role":34,"seo":1379,"stem":1380,"topic":1381,"website":34,"__hash__":1382},"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":1377},"ramy-hcini","/faculty/ramy-hcini",{},"faculty/ramy-hcini","Data Spaces in the context of matching demand and supply and security","-rWrvlNEWCn3XBHQmb9CWYvT0ahjPATj9z7NS8LhpXg",{"id":1384,"title":1385,"affiliation":1386,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1387,"legacy":15,"linkedin":1388,"meta":1389,"name":1385,"navigation":15,"path":1391,"photo":34,"role":34,"seo":1392,"stem":1393,"topic":34,"website":34,"__hash__":1394},"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":1390},"richard-benjamins","/faculty/richard-benjamins",{},"faculty/richard-benjamins","qVN1VHgFK92frM8UkhDTLNHl1e7fKik9zKgXft5EHhY",{"id":1396,"title":1397,"affiliation":34,"bio":1398,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1399,"legacy":47,"linkedin":34,"meta":1400,"name":1397,"navigation":15,"path":1402,"photo":34,"role":1403,"seo":1404,"stem":1405,"topic":34,"website":34,"__hash__":1406},"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":1401},"roshni-singh","/faculty/roshni-singh","Researcher",{},"faculty/roshni-singh","kUaO0OcbTVbPEwRHOjfHOS7QHtVgeVjEWIuGL18ywrM",{"id":1408,"title":1409,"affiliation":1410,"bio":34,"body":34,"category":88,"cohort":377,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1411,"legacy":47,"linkedin":34,"meta":1412,"name":1409,"navigation":15,"path":1414,"photo":34,"role":34,"seo":1415,"stem":1416,"topic":1417,"website":34,"__hash__":1418},"faculty/faculty/ross-purves.json","Ross Purves","University of Zürich","https://cms.thegovlab.com/assets/760a7335-c0af-4597-9f96-96e39bae928d",{"slug":1413},"ross-purves","/faculty/ross-purves",{},"faculty/ross-purves","Teaching with and about (Open)(Government) data","y1f3pdZUzV6y2h-35-8fSldW2Z6ct7TajTj1ikGqh8c",{"id":1420,"title":1421,"affiliation":1422,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1423,"legacy":15,"linkedin":1424,"meta":1425,"name":1421,"navigation":15,"path":1427,"photo":34,"role":34,"seo":1428,"stem":1429,"topic":34,"website":34,"__hash__":1430},"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":1426},"rudi-borrmann","/faculty/rudi-borrmann",{},"faculty/rudi-borrmann","S95VUc9mtByKc1NUVAzZHo4KBPBdauoJdxLVaVn6Mbw",{"id":1432,"title":1433,"affiliation":1434,"bio":34,"body":34,"category":88,"cohort":377,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1435,"legacy":47,"linkedin":1436,"meta":1437,"name":1433,"navigation":15,"path":1439,"photo":34,"role":34,"seo":1440,"stem":1441,"topic":1442,"website":34,"__hash__":1443},"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":1438},"sachit-mahajan","/faculty/sachit-mahajan",{},"faculty/sachit-mahajan","Designing Routing as Civic Infrastructure: Open, Interoperable, Reusable","h2TFPUORfSpJrqXTOYHtmXLzbLYs7bNnHgPb79YXW6g",{"id":1445,"title":1446,"affiliation":34,"bio":1447,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1448,"legacy":47,"linkedin":34,"meta":1449,"name":1446,"navigation":15,"path":1451,"photo":34,"role":1452,"seo":1453,"stem":1454,"topic":34,"website":34,"__hash__":1455},"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":1450},"sampriti-saxena","/faculty/sampriti-saxena","Research Intern",{},"faculty/sampriti-saxena","1lFtbfZZp9b1-kPQmsAfiyWL97jl9yyGknrizGeyyQQ",{"id":1457,"title":1458,"affiliation":1459,"bio":34,"body":34,"category":88,"cohort":377,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1460,"legacy":47,"linkedin":1461,"meta":1462,"name":1458,"navigation":15,"path":1464,"photo":34,"role":34,"seo":1465,"stem":1466,"topic":1467,"website":34,"__hash__":1468},"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":1463},"sebastian-sigloch","/faculty/sebastian-sigloch",{},"faculty/sebastian-sigloch","Switch Data","0kYV6nwaqMpwvxd2A511FYmQqP7CvEYqhjs2h4ZyaTA",{"id":1470,"title":1471,"affiliation":823,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1472,"legacy":15,"linkedin":1473,"meta":1474,"name":1471,"navigation":15,"path":1476,"photo":34,"role":34,"seo":1477,"stem":1478,"topic":34,"website":34,"__hash__":1479},"faculty/faculty/shanna-crumley.json","Shanna Crumley","https://cms.thegovlab.com/assets/bfe62fac-d24c-4f90-9698-f67638348b00","https://www.linkedin.com/in/shannacrumley/",{"slug":1475},"shanna-crumley","/faculty/shanna-crumley",{},"faculty/shanna-crumley","iXUsWMnMY6mPvKHDLhgAZyhxocsHbNxH-_5w1E3Ffww",{"id":1481,"title":1482,"affiliation":823,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1483,"legacy":15,"linkedin":1484,"meta":1485,"name":1482,"navigation":15,"path":1487,"photo":34,"role":34,"seo":1488,"stem":1489,"topic":34,"website":34,"__hash__":1490},"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":1486},"smita-jain","/faculty/smita-jain",{},"faculty/smita-jain","g6qNp1x4R9a3MCXfGu-OOgoj8Dze1jUxqKdMuaw29M4",{"id":1492,"title":1493,"affiliation":1494,"bio":1495,"body":34,"category":74,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1496,"legacy":47,"linkedin":1497,"meta":1498,"name":1493,"navigation":15,"path":1500,"photo":34,"role":1501,"seo":1502,"stem":1503,"topic":34,"website":34,"__hash__":1504},"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":1499},"stefaan-verhulst","/faculty/stefaan-verhulst","Course Lead",{},"faculty/stefaan-verhulst","OU0_J9qbLAdOggqbBTXHGlhgyazJ7eKPpwEn4eIiPdA",{"id":1506,"title":1507,"affiliation":1508,"bio":34,"body":34,"category":88,"cohort":377,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1509,"legacy":47,"linkedin":1510,"meta":1511,"name":1507,"navigation":15,"path":1513,"photo":34,"role":34,"seo":1514,"stem":1515,"topic":1516,"website":34,"__hash__":1517},"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":1512},"stefan-metzger","/faculty/stefan-metzger",{},"faculty/stefan-metzger","TriRegio Data Space / Data Space Concept","Si9xi0nfhdPCS4LYK1_0Zl3GtlwKsgmkY3IkaVGxIjM",{"id":1519,"title":1520,"affiliation":1521,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1522,"legacy":15,"linkedin":1523,"meta":1524,"name":1520,"navigation":15,"path":1526,"photo":34,"role":34,"seo":1527,"stem":1528,"topic":34,"website":34,"__hash__":1529},"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":1525},"stephen-chacha","/faculty/stephen-chacha",{},"faculty/stephen-chacha","XFQOVAoxxF-67x3MvbGeTd21mOgiVjsQQPfmiv5hsA0",{"id":1531,"title":1532,"affiliation":1533,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1534,"legacy":15,"linkedin":1535,"meta":1536,"name":1532,"navigation":15,"path":1538,"photo":34,"role":34,"seo":1539,"stem":1540,"topic":34,"website":34,"__hash__":1541},"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":1537},"stuart-campo","/faculty/stuart-campo",{},"faculty/stuart-campo","xXK07w7YG_SxEIXVQ7xX6hefQP1-rtKW0CU4ggTVc_w",{"id":1543,"title":1544,"affiliation":1545,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1546,"legacy":15,"linkedin":1547,"meta":1548,"name":1544,"navigation":15,"path":1550,"photo":34,"role":34,"seo":1551,"stem":1552,"topic":34,"website":34,"__hash__":1553},"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":1549},"tyler-kleykamp","/faculty/tyler-kleykamp",{},"faculty/tyler-kleykamp","DOVnyGWVqDjwZO2jmL5sZtThIYSc2L4-qLXFkUbHh6I",{"id":1555,"title":1556,"affiliation":34,"bio":1557,"body":34,"category":61,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1558,"legacy":47,"linkedin":34,"meta":1559,"name":1556,"navigation":15,"path":1561,"photo":34,"role":1116,"seo":1562,"stem":1563,"topic":34,"website":34,"__hash__":1564},"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":1560},"uma-kalkar","/faculty/uma-kalkar",{},"faculty/uma-kalkar","19ZAaVczDlFV-CVrOsdscP-9-93mnw4uUTgdHt78-6I",{"id":1566,"title":1567,"affiliation":1568,"bio":34,"body":34,"category":88,"cohort":117,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1569,"legacy":15,"linkedin":1570,"meta":1571,"name":1567,"navigation":15,"path":1573,"photo":34,"role":34,"seo":1574,"stem":1575,"topic":34,"website":34,"__hash__":1576},"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":1572},"valentin-muresan","/faculty/valentin-muresan",{},"faculty/valentin-muresan","bMedh5cgp7_cnJQAqbyIyK6naTlb14-9oRlJ539yl5Q",{"id":1578,"title":1579,"affiliation":1373,"bio":34,"body":34,"category":88,"cohort":363,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1580,"legacy":47,"linkedin":1581,"meta":1582,"name":1579,"navigation":15,"path":1584,"photo":34,"role":34,"seo":1585,"stem":1586,"topic":1381,"website":34,"__hash__":1587},"faculty/faculty/wassim-kallel.json","Wassim Kallel","https://cms.thegovlab.com/assets/7fc3249b-36ae-4bf2-8a24-f17915701918","https://www.linkedin.com/in/wassimkallel/",{"slug":1583},"wassim-kallel","/faculty/wassim-kallel",{},"faculty/wassim-kallel","vHzByAWe3IfptF8--3FBseOaOdIP_uSWNAH37IgoZbs",{"id":1589,"title":1590,"affiliation":1591,"bio":34,"body":34,"category":88,"cohort":662,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1592,"legacy":47,"linkedin":1593,"meta":1594,"name":1590,"navigation":15,"path":1596,"photo":34,"role":34,"seo":1597,"stem":1598,"topic":1599,"website":34,"__hash__":1600},"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":1595},"yannik-sassmann","/faculty/yannik-sassmann",{},"faculty/yannik-sassmann","BMZ Data and AI Lab","ZlegG-Md_hy5eQodCby9lZL8eA_6iQMH6KvMupVtYeA",1781873987631]