[{"data":1,"prerenderedAt":1599},["ShallowReactive",2],{"page-config-/news/unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends":3,"news-post-unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends":38,"all-faculty-news-detail":55},{"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":34,"date":43,"description":44,"duration":34,"endTime":34,"extendedContent":34,"extension":45,"featured":46,"heading":40,"image":47,"location":34,"locationType":34,"mainContent":48,"meta":49,"navigation":15,"path":50,"registrationLink":34,"seo":51,"slug":52,"startTime":34,"stem":53,"tags":34,"videoUrl":34,"__hash__":54},"blogposts/blogposts/unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends.json","Unlocking Public Value with Non-Traditional Data: Recent Use Cases and Emerging Trends","Adam Zable",[],"2025-04-09T00:00:00","How emerging data sources are advancing public interest research — and pointing toward new opportunities for impact.","json",false,"https://miro.medium.com/v2/resize:fit:700/0*hTPygUBwZ1iSP8yh","\u003Ch1 id=\"unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends\">Unlocking Public Value with Non-Traditional Data: Recent Use Cases and Emerging Trends\u003C/h1> \u003Ch2 id=\"unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends-1\">\u003Cstrong>Unlocking Public Value with Non-Traditional Data: Recent Use Cases and Emerging Trends\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*hTPygUBwZ1iSP8yh\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>\u003Ca href=\"https://static1.squarespace.com/static/6228efe9bbdd294f0d98edfe/t/6361b53bd7cff8433cae6780/1667347780763/Data4COVID19+Review_Full+Report_31.10.22.pdf\" rel=\"noopener noreferrer\" target=\"_blank\">Non-Traditional Data\u003C/a> (NTD) — digitally captured, mediated, or observed data such as mobile phone records, online transactions, or satellite imagery — is reshaping how we identify, understand, and respond to public interest challenges. As part of the \u003Ca href=\"https://opendatapolicylab.org/images/odpl/third-wave-of-opendata.pdf\" rel=\"noopener noreferrer\" target=\"_blank\">Third Wave of Open Data\u003C/a>, these often privately held datasets are being responsibly re-used through new governance models and cross-sector collaboration to generate public value at scale.\u003C/p> \u003Cp>\u003Ca href=\"#\" rel=\"noopener noreferrer\" target=\"_blank\">In our previous post\u003C/a>, we shared emerging case studies across health, urban planning, the environment, and more. Several months later, the momentum has not only continued but diversified. New projects reaffirm NTD’s potential — especially when linked with traditional data, embedded in interdisciplinary research, and deployed in ways that are privacy-aware and impact-focused.\u003C/p> \u003Cp>This update profiles recent initiatives that push the boundaries of what NTD can do. Together, they highlight the evolving domains where this type of data is helping to surface hidden inequities, improve decision-making, and build more responsive systems:\u003C/p> \u003Cul> \u003Cli>\u003Cstrong>Financial Inclusion\u003C/strong>\u003C/li> \u003Cli>\u003Cstrong>Public Health and Well-Being\u003C/strong>\u003C/li> \u003Cli>\u003Cstrong>Socioeconomic Analysis\u003C/strong>\u003C/li> \u003Cli>\u003Cstrong>Transportation and Urban Mobility\u003C/strong>\u003C/li> \u003Cli>\u003Cstrong>Data Systems and Governance\u003C/strong>\u003C/li> \u003Cli>\u003Cstrong>Economic and Labor Dynamics\u003C/strong>\u003C/li> \u003Cli>\u003Cstrong>Digital Behavior and Communication\u003C/strong>\u003C/li> \u003C/ul> \u003Ch2 id=\"financial-inclusion\">\u003Cstrong>FINANCIAL INCLUSION\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*rnenI1iVtOYmgRvC\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Jacobson, Jon. “How grocery shopping data is unlocking financial inclusion.” World Economic Forum. March 27, 2025. \u003Ca href=\"https://www.weforum.org/stories/2025/03/how-grocery-shopping-data-is-unlocking-financial-inclusion/\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.weforum.org/stories/2025/03/how-grocery-shopping-data-is-unlocking-financial-inclusion/\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Using grocery shopping behavior as a proxy for creditworthiness to expand financial inclusion.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Analyzed grocery transaction data using privacy-preserving technologies, combined with banking information, to assess individuals lacking formal credit histories. AI models identified behavioral signals — such as spending regularity and product choices — indicative of creditworthiness.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> In South Africa, the initiative evaluated 8 million individuals previously deemed unscorable, with 3.2 million qualifying for credit. One bank projected a 29% revenue increase. The model is now considered a scalable blueprint for global financial inclusion.\u003C/p> \u003Ch2 id=\"public-health-and-well-being\">\u003Cstrong>PUBLIC HEALTH AND WELL-BEING\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:625/0*4OGkErkDy2ck4Rl9\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Menichetti, Giulia, Babak Ravandi & Albert-László Barabási. “Whole Foods vs. Walmart: New research reveals hidden realities of ultra-processed foods in stores.” Northeastern Global News, January 14, 2025. \u003Ca href=\"https://news.northeastern.edu/2025/01/14/ultraprocessed-foods-grocery-stores/\" rel=\"noopener noreferrer\" target=\"_blank\">https://news.northeastern.edu/2025/01/14/ultraprocessed-foods-grocery-stores/\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Assessing the prevalence and variation of ultra-processed foods across major U.S. grocery retailers.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Researchers collected online ingredient lists from Target, Whole Foods, and Walmart and used machine learning to rate each product’s level of processing. The results were compiled into a public database (GroceryDB) and made searchable through the Truefood platform.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> The study revealed the widespread presence of ultra-processed foods across major retailers and highlighted how food processing levels vary by store and product category. The findings offer new tools for consumers to make informed choices and for retailers to evaluate and improve the nutritional quality of their offerings.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*527rjBMs_TDuZDo_\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Zhang, Miao, Salman Rahman, Vishwali Mhasawade & Rumi Chunara. “Utilizing big data without domain knowledge impacts public health decision-making.” Proceedings of the National Academy of Sciences, September 17, 2024.\u003Ca href=\"https://doi.org/10.1073/pnas.2402387121\" rel=\"noopener noreferrer\" target=\"_blank\"> https://doi.org/10.1073/pnas.2402387121\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Evaluates how relying on street-level imagery (Google Street View) and AI to assess neighborhood walkability can mislead public health interventions if behavioral factors are not considered.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Analyzed 2 million Google Street View images using computer vision to identify sidewalks and crosswalks, linking these features to obesity and diabetes rates in New York City.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Found that physical inactivity is a key mediator — addressing behavioral factors yielded greater health benefits than modifying the built environment alone. The study cautions that using big data without understanding causal pathways can lead to flawed policy decisions.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*Gkgi7XYvIz7zQnFK\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Khan, Shehroz S., Pratik K. Mishra, Bing Ye, Smit Patel, Kristine Newman, Alex Mihailidis, and Andrea Iaboni. “A Novel Multi-modal Sensor Dataset and Benchmark to Detect Agitation in People Living with Dementia in a Residential Care Setting.” ACM Transactions on Computing for Healthcare, 2025. \u003Ca href=\"https://doi.org/10.1145/3720550\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.1145/3720550\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus\u003C/strong> : Introduced a benchmark dataset to support automated, real-time detection of agitation in people with dementia, using physiological signals collected in a residential care setting.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data\u003C/strong> : Captured over 600 days of multimodal sensor data — including acceleration, blood volume pulse, electrodermal activity, and temperature — from 20 residents. Agitation events were annotated using nurse reports and validated through video footage.\u003C/p> \u003Cp>\u003Cstrong>Impact\u003C/strong> : Provides a high-quality, publicly available dataset to accelerate research on AI-driven, privacy-preserving monitoring systems in dementia care. Supports development of early warning tools that could improve staff response, reduce injuries, and enhance care quality in institutional environments.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*6zeOMSlVkMaA3ZMS\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Cummins, Jack A., Daniel J. Gottlieb, Tamar Sofer, and Danielle A. Wallace. “Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study.” Journal of Medical Internet Research 27, 2025. \u003Ca href=\"https://doi.org/10.2196/58902\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.2196/58902\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus\u003C/strong> : Analyzed online discussions to track how insomnia treatments — both prescription and over-the-counter — are discussed and perceived by the public.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data\u003C/strong> : Applied natural language processing to 340,130 Reddit comments from r/insomnia (2008–2022), extracting sentiment and frequency trends for 35 treatment terms including medications, cognitive behavioral therapy for insomnia (CBT-I), and herbal remedies..\u003C/p> \u003Cp>\u003Cstrong>Impact\u003C/strong> : Revealed evolving user attitudes and uptake of treatments like CBT-I and melatonin. Captured real-world behavior and sentiment often missing from clinical datasets, providing a complementary lens for public health monitoring of sleep-related interventions..\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*WF4g3wNX19Nnjw6I\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Hswen, Yulin, Qiuyuan Qin, Pressley Smith, et al. “Sentiments of Individuals with Interstitial Cystitis/Bladder Pain Syndrome Toward Pentosan Polysulfate Sodium: Infodemiology Study.” JMIR Formative Research 9, 2025. \u003Ca href=\"https://doi.org/10.2196/54209\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.2196/54209\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus\u003C/strong> : Explored patient sentiment and experiences related to the drug pentosan polysulfate sodium (PPS) for treating interstitial cystitis/bladder pain syndrome (IC/BPS).\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data\u003C/strong> : Analyzed 354 posts from the Inspire online health forum using topic modeling and sentiment analysis to extract themes and emotional tone.\u003C/p> \u003Cp>\u003Cstrong>Impact\u003C/strong> : Found a balanced, neutral sentiment toward PPS, with users weighing side effects against benefits. Demonstrated how online support communities offer nuanced insights into patient perspectives, informing shared decision-making and supplementing clinical trial evidence.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:673/0*By06z55VsgM70GmJ\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Cesnakova, Lucia, Benjamin Vandendriessche, and Jennifer Goldsack. “Advancing the Use of Sensor-Based Digital Health Technologies (sDHTs) for Mental Health Research and Clinical Practice.” Wellcome Open Research, February 2025. \u003Ca href=\"https://datacc.dimesociety.org/mental-health/#report\" rel=\"noopener noreferrer\" target=\"_blank\">https://datacc.dimesociety.org/mental-health/#report\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Developed a strategic roadmap to support the broader adoption of sensor-based digital health technologies (sDHTs) in mental health care, particularly for conditions like depression, anxiety, and psychosis.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Synthesized evidence and expert insights from around the world on the use of passively collected sensor data — such as sleep, movement, heart rate, and smartphone interaction patterns — to detect behavioral and physiological markers of mental health.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Outlined actionable recommendations to validate, standardize, and scale sDHTs for use in both research and clinical settings. Aims to enable more personalized, accessible, and continuous mental health support through real-time, data-driven monitoring.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:400/0*VVmyctbqYfB45mjc\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Rajendran, Rajesh Kanna, Kokila S. S., Helen K. Joy, et al. “Leveraging Social Media and Natural Language Processing for Early Detection of Depressive Disorders.” In Demystifying the Role of Natural Language Processing (NLP) in Mental Health, IGI Global, 2025. \u003Ca href=\"https://doi.org/10.4018/979-8-3693-4203-9.ch011\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.4018/979-8-3693-4203-9.ch011\u003C/a>\u003C/p> \u003Cp>Patro, Pramoda, Thulasi Bikku, Harinadh Karimikond, et al. “Analyzing Social Media Status to Predict Depression by NLP and ML.” In Demystifying the Role of Natural Language Processing (NLP) in Mental Health, IGI Global, 2025. \u003Ca href=\"https://doi.org/10.4018/979-8-3693-4203-9.ch003\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.4018/979-8-3693-4203-9.ch003\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> These companion chapters investigate how social media and natural language processing (NLP) can be used to detect early signs of depression based on users’ online behavior and expression.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Analyzed thousands of text posts from platforms such as Twitter, Facebook, Reddit, and Instagram. Used NLP techniques — like sentiment analysis, topic modeling, and lemmatization — and trained machine learning models to classify depressive content.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Achieved high accuracy (often over 90%) in identifying depressive symptoms. Validated social media as a cost-effective, scalable source for mental health screening. Emphasized the need for multilingual, explainable AI to support equitable and responsible deployment in clinical and public health contexts.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*B3mvSoB0oCVNAU69\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>St-Onge, Guillaume, Jessica T. Davis, Laurent Hébert-Dufresne, et al. “Pandemic monitoring with global aircraft-based wastewater surveillance networks.” Nature Medicine 31 (2025): 788–796. \u003Ca href=\"https://www.nature.com/articles/s41591-025-03501-4\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.nature.com/articles/s41591-025-03501-4\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Assessed the potential of aircraft-based wastewater surveillance networks to detect emerging pathogens — such as novel SARS-CoV-2 variants — by modeling how disease signals travel through global air routes.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Combined viral RNA detection in aircraft wastewater with airline movement data and epidemiological modeling. Simulated global pathogen spread and detection across strategically selected airport sentinel sites.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Showed that a network of just 10–20 airports could identify outbreaks weeks earlier than existing surveillance systems, including inferring outbreak origins and transmissibility. Validated aircraft wastewater as a scalable, cost-effective early warning tool for global biosurveillance.\u003C/p> \u003Ch2 id=\"socioeconomic-analysis\">\u003Cstrong>SOCIOECONOMIC ANALYSIS\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:555/0*Oq4BjSOkEfQ5sdPw\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Naushirvanov, T., Elejalde, E., Kalimeri, K., Omodei, E., Karsai, M. & Ferres, L. “Evacuation patterns and socioeconomic stratification in the context of wildfires in Chile.” \u003Cem>arXiv\u003C/em>. October 8, 2024.\u003Ca href=\"https://arxiv.org/abs/2410.06017\" rel=\"noopener noreferrer\" target=\"_blank\"> https://arxiv.org/abs/2410.06017\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Analyzed how socioeconomic status influences evacuation patterns during wildfires in Valparaíso, Chile.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Used high-resolution mobile phone records from Telefónica to track individual movements before, during, and after evacuation events. Researchers inferred home locations and socioeconomic profiles based on census zones to assess disparities.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Lower-income individuals evacuated later, remained away longer, and traveled shorter distances, highlighting structural inequalities in disaster response. The study also validated mobile phone data against Meta’s crisis datasets, suggesting potential for combining both to enhance real-time disaster planning.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*XIveL--nuurOXv2f\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Xu, Fengli, Qi Wang, Esteban Moro, et al. “Using human mobility data to quantify experienced urban inequalities.” Nature Human Behaviour, 2025. \u003Ca href=\"https://doi.org/10.1038/s41562-024-02079-0\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.1038/s41562-024-02079-0\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus\u003C/strong> : Introduced a new framework for measuring urban inequality through mobility patterns, emphasizing disparities in social interactions, facility access, and adaptability to shocks like pandemics or natural disasters.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data\u003C/strong> : Synthesized large-scale, passively sensed human mobility data from smartphones, ride-hailing, shared bike, and social media platforms to model dynamic person–place networks over time.\u003C/p> \u003Cp>\u003Cstrong>Impact\u003C/strong> : Provided a scalable, data-driven method to trace lived urban inequalities beyond residential segregation. Enables policymakers to identify vulnerable populations and design equitable urban interventions responsive to real-world mobility behavior.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*2IjmX_iILFtbEYe4\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Bailey, Michael, Drew M. Johnston, Theresa Kuchler, Ayush Kumar, and Johannes Stroebel. “Cross-Gender Social Ties Around the World.” NBER Working Paper №33480, February 2025. \u003Ca href=\"https://www.nber.org/papers/w33480\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.nber.org/papers/w33480\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Measures global patterns of cross-gender friendships on Facebook to explore social integration and attitudes toward gender equality across nearly 200 countries.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Analyzed 1.38 trillion Facebook friendship ties from 1.8 billion users, using tie strength and gender metadata to develop subnational indicators of cross-gender connectedness.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Found that regions with more frequent cross-gender friendships tend to show stronger support for women’s rights in education, employment, and politics. Introduces a scalable, privacy-preserving proxy for measuring gender-based social segregation and its links to cultural and institutional norms.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:615/0*AlswlkjU6sLq4BQ1\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Lavista Ferres, Juan M. “What 40 Million Devices Can Teach Us About Digital Literacy in America.” Microsoft AI for Good Lab, February 15, 2025. \u003Ca href=\"https://www.linkedin.com/pulse/what-40-million-devices-can-teach-us-digital-literacy-lavista-ferres-50pyc\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.linkedin.com/pulse/what-40-million-devices-can-teach-us-digital-literacy-lavista-ferres-50pyc\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Mapped digital literacy across 28,000 U.S. ZIP codes using behavioral data from 40 million Windows devices, revealing how Americans engage with technology beyond broadband access.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Used anonymized device-level software usage patterns to build two indices, which were released publicly: one measuring general digital engagement, the other focused on content creation and computational skills. Provided a detailed behavioral view of digital literacy absent from traditional surveys.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Revealed significant digital skill gaps tied to income and education, even in areas with strong broadband coverage. Exposed overlooked disparities within cities and helps inform more targeted digital inclusion strategies.\u003C/p> \u003Ch2 id=\"transportation-and-urban-planning\">\u003Cstrong>TRANSPORTATION AND URBAN PLANNING\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:631/0*vAY_173DjPn1phFy\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Urbano, Valeria Maria, Marika Arena & Giovanni Azzone. “Big data for decision-making in public transport management: A comparison of different data sources.” Research in Transportation Business & Management, March 2025. \u003Ca href=\"https://doi.org/10.1016/j.rtbm.2025.101298\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.1016/j.rtbm.2025.101298\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Evaluated how big data sources can support planning, operations, and performance measurement in public transport.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Researchers compared smart card, mobile phone, and automatic vehicle location data (AVL) from Lombardy’s transport systems, assessing each source’s quality and suitability using a framework structured across decision-making domains.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> The study found that each data source offers distinct strengths and limitations, with mobile phone data supporting long-term planning, smart cards enabling detailed user segmentation, and AVL data enhancing real-time service monitoring. The findings underscore the value of data integration and help guide operators in selecting appropriate datasets for specific transit decisions.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:611/0*hojUI6L3Q4XzJzaE\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Guo, Hao, Weiyu Zhang, Junjie Yang, et al. “Data driven discovery of human mobility models.” arXiv, January 10, 2025. \u003Ca href=\"https://arxiv.org/abs/2501.05684\" rel=\"noopener noreferrer\" target=\"_blank\">https://arxiv.org/abs/2501.05684\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Automatically discovering mathematical models of human mobility to improve urban planning, transportation systems, and epidemic response.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Researchers applied symbolic regression to large-scale mobility datasets — including mobile phone data and census commuting flows — from China, the UK, and the US. The algorithm generated interpretable mobility models directly from observed data without relying on pre-defined formulas.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> The method identified both established and novel mobility models, revealing spatial heterogeneity and improving prediction accuracy. The findings can inform targeted infrastructure design, public transit planning, and regional disease control strategies by offering a more precise, data-driven understanding of how people move.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*FVkFS4Sz3gqMblMo\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Yabe, Takahiro, Bernardo García Bulle Bueno, Morgan R. Frank, Alex Pentland & Esteban Moro. “Behaviour-based dependency networks between places shape urban economic resilience.” Nature Human Behaviour 9 (2025): 496–506. \u003Ca href=\"https://www.nature.com/articles/s41562-024-02072-7\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.nature.com/articles/s41562-024-02072-7\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Related Visualization:\u003C/strong> \u003Cem>Invisible Urban Dependencies: A Story Map by Northeastern University.\u003C/em> \u003Ca href=\"https://www.socialurban.net/dependency/#\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.socialurban.net/dependency/#\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Explored how human mobility patterns create hidden interdependencies between urban locations, influencing how economic shocks — such as pandemics — cascade through cities.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Used anonymized GPS traces from over 1 million devices across five U.S. cities, combined with point-of-interest (POI) data from SafeGraph. Built networks based on co-visitation patterns to model how foot traffic to one location affects broader urban activity.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Revealed that behavior-based dependency networks predict economic ripple effects with over 40% greater accuracy than distance-based models. Provided policymakers with tools to simulate how closures (e.g., schools, offices, transit hubs) can trigger cascading impacts — enabling more resilient, system-aware urban planning and infrastructure strategies.\u003C/p> \u003Ch2 id=\"data-systems-and-governance\">\u003Cstrong>DATA SYSTEMS AND GOVERNANCE\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*lliV2D_fyy8TRtuE\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Esko, Siim & Janet McLaren. \u003Cem>A Roadmap to Accessing Mobile Network Data for Statistics.\u003C/em> Global Partnership for Sustainable Development Data. March 2025. \u003Ca href=\"https://www.data4sdgs.org/resources/roadmap-accessing-mobile-network-data-statistics\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.data4sdgs.org/resources/roadmap-accessing-mobile-network-data-statistics\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Provided guidance for national statistical systems on systematically accessing and integrating mobile network data into official statistics.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Outlined how mobile phone metadata — such as location traces and call records — can be repurposed to generate or enhance national indicators on population dynamics, mobility, migration, tourism, and disaster response. Synthesized global case studies and presents actionable steps for overcoming legal, technical, and institutional barriers to telecom data access.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Equips national statistics offices with a practical framework to form data partnerships with mobile operators. Has already supported mobile data initiatives in over 30 countries, boosting the quality, timeliness, and granularity of official statistics — particularly in low- and middle-income settings — and advancing responsible data governance.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:673/0*B_aeY-6ul0i5BR-X\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Goldfarb, Danielle. “Digital Data and Advanced AI for Richer Global Intelligence.” \u003Cem>Centre for International Governance Innovation (CIGI)\u003C/em>. March 2025. \u003Ca href=\"https://www.cigionline.org/publications/digital-data-and-advanced-ai-for-richer-global-intelligence/\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.cigionline.org/publications/digital-data-and-advanced-ai-for-richer-global-intelligence/\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Examined how digital data and AI — particularly large language models — can complement or replace traditional public metrics in contexts of delay, manipulation, or absence.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Surveyed over a dozen global projects using digital traces — such as satellite imagery, online prices, ship sensors, mobile phone metadata, and job postings — paired with AI to generate real-time insights on inflation, inequality, pandemic spread, and supply chains.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Shows how combining non-traditional data with advanced analytics can close key information gaps in global governance. Calls for governments to treat these tools as public infrastructure — accessible, accountable, and designed with the public interest at their core.\u003C/p> \u003Ch2 id=\"economic-and-labor-dynamics\">\u003Cstrong>ECONOMIC AND LABOR DYNAMICS\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:639/0*zbD6VjSkeL_r4d4U\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Gimbel, Martha & Ernie Tedeschi. “The Economic Data You Need to Make Decisions Through Volatility.” Harvard Business Review, March 17, 2025. \u003Ca href=\"https://hbr.org/2025/03/the-economic-data-you-need-to-make-decisions-through-volatility\" rel=\"noopener noreferrer\" target=\"_blank\">https://hbr.org/2025/03/the-economic-data-you-need-to-make-decisions-through-volatility\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus\u003C/strong> : Provided strategic guidance on managing economic uncertainty by incorporating faster, more adaptive data sources alongside official statistics.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data\u003C/strong> : Highlighted the growing relevance of alternative indicators — such as real-time job postings, government spending data, and other high-frequency economic signals — for tracking volatility and identifying inflection points.\u003C/p> \u003Cp>\u003Cstrong>Impact\u003C/strong> : Promoted the use of agile, non-traditional data to enhance decision-making in policy and business during periods of rapid change. Emphasized complementarity with official statistics rather than replacement, reinforcing the value of a mixed-data ecosystem.\u003C/p> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:700/0*OjM33mk7hVxTSfSo\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Lee, Kwok Kin. “Leveraging LinkedIn Data to Understand the Green and Digital Transformations in the Labor Market and the Future of Work.” \u003Cem>LinkedIn Jobs and Development\u003C/em> , March 28, 2025.\u003Ca href=\"https://www.linkedin.com/pulse/leveraging-linkedin-data-understand-green-digital-kwok-kin-lee\" rel=\"noopener noreferrer\" target=\"_blank\"> \u003C/a>\u003Ca href=\"https://datapartnership.org/updates/leveraging-linkedin-data-to-understand-the-green-and-digital-transformations-in-the-labor-market-and-the-future-of-work/\" rel=\"noopener noreferrer\" target=\"_blank\">https://datapartnership.org/updates/leveraging-linkedin-data-to-understand-the-green-and-digital-transformations-in-the-labor-market-and-the-future-of-work/\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Explored how digitalization and decarbonization are reshaping labor markets worldwide. Analyzed real-time trends in job postings and skill demands to support more adaptive workforce development and policy design.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Used LinkedIn’s labor market data — spanning job postings, hiring trends, and the prevalence of digital and green skills.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> International organizations including the World Bank and IMF leveraged these insights to compare patterns across regions and sectors, helping policymakers anticipate geographic and sectoral disparities in the future of work. Informed targeted reskilling initiatives and identified early signals of AI and green job growth.\u003C/p> \u003Ch2 id=\"digital-behavior-and-communication\">\u003Cstrong>DIGITAL BEHAVIOR AND COMMUNICATION\u003C/strong>\u003C/h2> \u003Cp>\u003Cfigure>\u003Cimg src=\"https://miro.medium.com/v2/resize:fit:689/0*ugELqmiyE0H6-Ypq\" alt=\"\">\u003Cfigcaption>\u003C/figcaption>\u003C/figure>\u003C/p> \u003Cp>Desiderio, Antonio, Anna Mancini, Giulio Cimini & Riccardo Di Clemente. “Highly engaging events reveal semantic and temporal compression in online community discourse.” PNAS Nexus 4, no. 3, March 2025. \u003Ca href=\"https://doi.org/10.1093/pnasnexus/pgaf056\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.1093/pnasnexus/pgaf056\u003C/a>\u003C/p> \u003Cp>\u003Cstrong>Focus:\u003C/strong> Explored how offline events reshape online conversation dynamics, revealing that high-attention events trigger faster, more emotionally charged, and linguistically repetitive discussions across Reddit political and sports communities.\u003C/p> \u003Cp>\u003Cstrong>Role of Non-Traditional Data:\u003C/strong> Analyzed over 60 million Reddit posts and comments from 2020–2021. Applied temporal and semantic metrics to measure how discourse structure and user behavior respond to real-world events.\u003C/p> \u003Cp>\u003Cstrong>Impact:\u003C/strong> Found that intense offline events consistently compress online communication — accelerating interaction speed and narrowing linguistic diversity. Highlighted implications for content moderation, misinformation risks, and understanding digital collective behavior during crises or major news moments.\u003C/p> \u003Ch2 id=\"reflections\">\u003Cstrong>Reflections\u003C/strong>\u003C/h2> \u003Cp>The use cases above illustrate the potential and variety of non-traditional data in addressing public interest challenges — from improving dementia care or modeling economic ripple effects through urban foot traffic. A few key patterns stand out from this latest set of examples:\u003C/p> \u003Cul> \u003Cli>\u003Cstrong>Health remains a leading domain,\u003C/strong> especially for behavioral and mental health insights. Sensor data, social media posts, and even aircraft wastewater are being repurposed to detect symptoms, surface patient sentiment, or expand the evidence base beyond clinical settings — often in near real time.\u003C/li> \u003Cli>\u003Cstrong>Mobility data is gaining prominence\u003C/strong> as a tool to understand inequality in cities. In particular, it has been leveraged to help track how people interact with infrastructure, adapt during crises, and move through cities in new ways.\u003C/li> \u003Cli>\u003Cstrong>Platform data is increasingly being used as a proxy for lived realities.\u003C/strong> Facebook friendship ties, LinkedIn job trends, and Reddit conversations can provide insights into gender norms, labor market shifts, and evolving health behaviors- turning “digital footprints” into social indicators.\u003C/li> \u003Cli>\u003Cstrong>Governance and infrastructure questions are surfacing more explicitly.\u003C/strong> As seen in the mobile data roadmap for national statistics and calls to treat AI-enhanced metrics as public infrastructure, there’s growing recognition that NTD re-use requires not just technical solutions, but sustainable, responsible governance.\u003C/li> \u003Cli>\u003Cstrong>NTD is often complementary, rather than substitutive, to traditional data\u003C/strong>. Many of the strongest use cases integrate NTD with traditional sources (e.g., census, clinical, or administrative data) to produce more robust, context-rich insights. This hybrid approach can improve coverage, legitimacy, and policy relevance, especially in under-resourced or rapidly evolving settings.\u003C/li> \u003C/ul> \u003Cp>Yet despite the momentum, much of this work remains fragmented or experimental. Moving from pilots to systems change will require key shifts, including:\u003C/p> \u003Col> \u003Cli>\u003Cstrong>Legitimacy\u003C/strong> : Strengthen methodological approaches to address bias and representation, so that NTD earns broader trust among policymakers and researchers.\u003C/li> \u003Cli>\u003Cstrong>Social License\u003C/strong> : Work to ensure responsible reuse by developing participatory methods — tools that involve communities in setting research priorities and interpreting findings — rather than extracting data from them.\u003C/li> \u003Cli>\u003Cstrong>Data Stewards\u003C/strong> : Invest in the human infrastructure needed to connect data initiatives with public value — individuals and teams with the mandate and expertise to identify data needs, broker partnerships, set up governance frameworks, and embed responsible use.\u003C/li> \u003C/ol>",{},"/blogposts/unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends",{"title":40,"description":44},"unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends","blogposts/unlocking-public-value-with-non-traditional-data-recent-use-cases-and-emerging-trends","60HwhfRdjsG9wpDbaK9D02dgZGe5aDDIGl3bcR8K0AI",[56,68,82,97,111,124,136,148,161,173,187,199,211,223,235,247,259,269,281,295,308,321,334,345,357,371,386,399,412,425,438,451,460,473,485,497,510,523,535,547,559,571,584,597,609,621,634,645,656,670,683,697,708,721,732,745,757,769,781,794,806,818,832,845,858,870,882,894,906,918,930,942,954,967,979,991,1005,1017,1029,1040,1054,1067,1081,1093,1106,1118,1130,1142,1154,1164,1176,1188,1200,1213,1225,1237,1252,1264,1276,1290,1302,1316,1330,1343,1356,1368,1381,1393,1405,1417,1429,1442,1454,1467,1478,1489,1503,1516,1528,1540,1552,1563,1575,1586],{"id":57,"title":41,"affiliation":34,"bio":58,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":60,"legacy":46,"linkedin":34,"meta":61,"name":41,"navigation":15,"path":63,"photo":34,"role":64,"seo":65,"stem":66,"topic":34,"website":34,"__hash__":67},"faculty/faculty/adam-zable.json","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":62},"adam-zable","/faculty/adam-zable","Research Fellow",{},"faculty/adam-zable","5bR3wydz1eXMWjD7PSD8j4im9GZM7_x4k8iz5TN85Dw",{"id":69,"title":70,"affiliation":34,"bio":71,"body":34,"category":72,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":73,"legacy":15,"linkedin":74,"meta":75,"name":70,"navigation":15,"path":77,"photo":34,"role":78,"seo":79,"stem":80,"topic":34,"website":34,"__hash__":81},"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":76},"adrienne-schmoeker","/faculty/adrienne-schmoeker","Course Advisor",{},"faculty/adrienne-schmoeker","z_7IPuXoKOHDOgpFTsSqBY_T1QYYDk0kAWowjYGC3ow",{"id":83,"title":84,"affiliation":85,"bio":34,"body":34,"category":86,"cohort":87,"description":34,"expertise":34,"extension":45,"headshot":34,"image":88,"legacy":46,"linkedin":89,"meta":90,"name":84,"navigation":15,"path":92,"photo":34,"role":34,"seo":93,"stem":94,"topic":95,"website":34,"__hash__":96},"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":91},"alex-hutchison","/faculty/alex-hutchison",{},"faculty/alex-hutchison","Impact Measurement & Work of Data for Children Collaborative","Q6zJ9wxOc_kYKt4uhkMYd9u3Ptug0EKTJWUmU75-NX4",{"id":98,"title":99,"affiliation":100,"bio":34,"body":34,"category":86,"cohort":101,"description":34,"expertise":34,"extension":45,"headshot":34,"image":102,"legacy":15,"linkedin":103,"meta":104,"name":99,"navigation":15,"path":106,"photo":34,"role":34,"seo":107,"stem":108,"topic":109,"website":34,"__hash__":110},"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":105},"alex-pompe","/faculty/alex-pompe",{},"faculty/alex-pompe","Data powered collaborations for social good & Meta's Data for Good Work","NxXESqPg21h7BH-7afZnYJ00dZxFvjnMPJZFkxAyNPY",{"id":112,"title":113,"affiliation":114,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":116,"legacy":15,"linkedin":117,"meta":118,"name":113,"navigation":15,"path":120,"photo":34,"role":34,"seo":121,"stem":122,"topic":34,"website":34,"__hash__":123},"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":119},"alison-paprica","/faculty/alison-paprica",{},"faculty/alison-paprica","GdVZUxEJDplSSVWpxCQFaDliddUXHhtXXbk2BbtBQeA",{"id":125,"title":126,"affiliation":127,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":128,"legacy":15,"linkedin":129,"meta":130,"name":126,"navigation":15,"path":132,"photo":34,"role":34,"seo":133,"stem":134,"topic":34,"website":34,"__hash__":135},"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":131},"amen-ra-mashariki","/faculty/amen-ra-mashariki",{},"faculty/amen-ra-mashariki","B9EIq50RRHe6ou-4B7T6sCncR2ahTJxjNa8CKUzSMHg",{"id":137,"title":138,"affiliation":139,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":140,"legacy":15,"linkedin":141,"meta":142,"name":138,"navigation":15,"path":144,"photo":34,"role":34,"seo":145,"stem":146,"topic":34,"website":34,"__hash__":147},"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":143},"amy-regas","/faculty/amy-regas",{},"faculty/amy-regas","YdWm44wcLD4bmciE5cbyAEjZTvsqHUtaxZLa3Hsy1I4",{"id":149,"title":150,"affiliation":151,"bio":34,"body":34,"category":86,"cohort":101,"description":34,"expertise":34,"extension":45,"headshot":34,"image":152,"legacy":46,"linkedin":153,"meta":154,"name":150,"navigation":15,"path":156,"photo":34,"role":34,"seo":157,"stem":158,"topic":159,"website":34,"__hash__":160},"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":155},"andrea-zaramella","/faculty/andrea-zaramella",{},"faculty/andrea-zaramella","Use of TELCO Data for Impact Evaluation","VkhRswUzIdWPshGjj7Js6ub9aLPKoPWBg3C4mMWCB68",{"id":162,"title":163,"affiliation":164,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":165,"legacy":15,"linkedin":166,"meta":167,"name":163,"navigation":15,"path":169,"photo":34,"role":34,"seo":170,"stem":171,"topic":34,"website":34,"__hash__":172},"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":168},"andrew-collinge","/faculty/andrew-collinge",{},"faculty/andrew-collinge","CJI_-FFIpM7E761MupRMJsu5qZDTThFIU9aiNR1X2s0",{"id":174,"title":175,"affiliation":34,"bio":176,"body":34,"category":72,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":177,"legacy":46,"linkedin":178,"meta":179,"name":181,"navigation":15,"path":182,"photo":34,"role":183,"seo":184,"stem":185,"topic":34,"website":34,"__hash__":186},"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? 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OCHA","https://cms.thegovlab.com/assets/105faf1f-62cd-42f0-ba98-7d3e081e8c91","https://www.linkedin.com/in/josb/",{"slug":877},"jos-berens","/faculty/jos-berens",{},"faculty/jos-berens","Q8A4yJ_1GXqg5btabK9sNfPp-NaMatS9QPAHHNej_QE",{"id":883,"title":884,"affiliation":574,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":885,"legacy":15,"linkedin":886,"meta":887,"name":889,"navigation":15,"path":890,"photo":34,"role":34,"seo":891,"stem":892,"topic":34,"website":34,"__hash__":893},"faculty/faculty/juan-m-lavista-ferres.json","Juan M Lavista Ferres","https://cms.thegovlab.com/assets/af6b99bd-7a20-4e0a-9530-78f908566be0","https://www.linkedin.com/in/jlavista/",{"slug":888},"juan-m-lavista-ferres","Juan M. 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Sigall","/faculty/jule-l-sigall",{},"faculty/jule-l-sigall","gEGKYeaD-mkqn2DZrIZaIbGWQOPu45YxqsJBubT7PSM",{"id":907,"title":908,"affiliation":909,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":910,"legacy":15,"linkedin":911,"meta":912,"name":908,"navigation":15,"path":914,"photo":34,"role":34,"seo":915,"stem":916,"topic":34,"website":34,"__hash__":917},"faculty/faculty/julia-stoyanovich.json","Julia Stoyanovich","New York University","https://cms.thegovlab.com/assets/e8770782-607b-4f62-8076-7980c7a7173f","https://www.linkedin.com/in/julia-stoyanovich-b184851/",{"slug":913},"julia-stoyanovich","/faculty/julia-stoyanovich",{},"faculty/julia-stoyanovich","Gw1KbXq3FyB0quxq7VTlz_EgLKDJlJrlDiEl2LQ0J0c",{"id":919,"title":920,"affiliation":921,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":922,"legacy":15,"linkedin":923,"meta":924,"name":920,"navigation":15,"path":926,"photo":34,"role":34,"seo":927,"stem":928,"topic":34,"website":34,"__hash__":929},"faculty/faculty/kersten-jauer.json","Kersten Jauer","United Nations","https://cms.thegovlab.com/assets/16a68a19-f6aa-4e97-ab35-a740165ae2c6","https://www.linkedin.com/in/kerstenjauer/",{"slug":925},"kersten-jauer","/faculty/kersten-jauer",{},"faculty/kersten-jauer","mTFgtONGdyvshhRSvT0Mg-J8GmUOIunuSKxhbz9BK_Y",{"id":931,"title":932,"affiliation":933,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":934,"legacy":15,"linkedin":935,"meta":936,"name":932,"navigation":15,"path":938,"photo":34,"role":34,"seo":939,"stem":940,"topic":34,"website":34,"__hash__":941},"faculty/faculty/kisha-bwenge.json","Kisha Bwenge","Charlottesville Area Community Foundations","https://cms.thegovlab.com/assets/d19d7fda-92d6-4f8d-8ce0-2dd3c1fb76d7","https://www.linkedin.com/in/viviankishabwenge/",{"slug":937},"kisha-bwenge","/faculty/kisha-bwenge",{},"faculty/kisha-bwenge","LwOUsiKNBy1L-OpPd3pY-jmyxicCYIlEu50zlDyli7Y",{"id":943,"title":944,"affiliation":945,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":946,"legacy":15,"linkedin":947,"meta":948,"name":944,"navigation":15,"path":950,"photo":34,"role":34,"seo":951,"stem":952,"topic":34,"website":34,"__hash__":953},"faculty/faculty/krishna-sood.json","Krishna Sood","Black Forest Labs","https://cms.thegovlab.com/assets/9e77bd5c-c6c1-4c2f-a4d9-c4090b3afe85","https://www.linkedin.com/in/krishnasood/",{"slug":949},"krishna-sood","/faculty/krishna-sood",{},"faculty/krishna-sood","opraoQU0aFXNDlQSfuBwOR_Ojbg955KK5UkNt-nvVE4",{"id":955,"title":956,"affiliation":957,"bio":34,"body":34,"category":86,"cohort":101,"description":34,"expertise":34,"extension":45,"headshot":34,"image":958,"legacy":46,"linkedin":959,"meta":960,"name":956,"navigation":15,"path":962,"photo":34,"role":34,"seo":963,"stem":964,"topic":965,"website":34,"__hash__":966},"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":961},"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":974},"lilian-coral","/faculty/lilian-coral",{},"faculty/lilian-coral","PFVGbRvqYy1KzELxWJoua5jrbJnMNUzlngzC92NPKF4",{"id":980,"title":981,"affiliation":982,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":983,"legacy":15,"linkedin":984,"meta":985,"name":981,"navigation":15,"path":987,"photo":34,"role":34,"seo":988,"stem":989,"topic":34,"website":34,"__hash__":990},"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":986},"lisa-moretti","/faculty/lisa-moretti",{},"faculty/lisa-moretti","EV8XLcbAFAoKtBzuzfT85iXeQ49CT2LH-2tTPcZln8I",{"id":992,"title":993,"affiliation":994,"bio":34,"body":34,"category":86,"cohort":995,"description":34,"expertise":34,"extension":45,"headshot":34,"image":996,"legacy":15,"linkedin":997,"meta":998,"name":993,"navigation":15,"path":1000,"photo":34,"role":34,"seo":1001,"stem":1002,"topic":1003,"website":34,"__hash__":1004},"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":999},"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":1012},"lynn-overmann","/faculty/lynn-overmann",{},"faculty/lynn-overmann","T_4VBcHNBpT91i3OLMPlturz60ufyjOayd4Wu5Y0s5E",{"id":1018,"title":1019,"affiliation":1020,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1021,"legacy":15,"linkedin":1022,"meta":1023,"name":1019,"navigation":15,"path":1025,"photo":34,"role":34,"seo":1026,"stem":1027,"topic":34,"website":34,"__hash__":1028},"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":1024},"marc-lepage","/faculty/marc-lepage",{},"faculty/marc-lepage","JCDw1BHIBhdOfzo1coSP7TDfQgIgSwdNw8P2txPefxY",{"id":1030,"title":1031,"affiliation":574,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1032,"legacy":15,"linkedin":1033,"meta":1034,"name":1031,"navigation":15,"path":1036,"photo":34,"role":34,"seo":1037,"stem":1038,"topic":34,"website":34,"__hash__":1039},"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":1035},"marcus-bartley-johns","/faculty/marcus-bartley-johns",{},"faculty/marcus-bartley-johns","6ezX8H4I7u6nV0D1iKncL_l-M-af7CYPz9NXFU1iaAk",{"id":1041,"title":1042,"affiliation":1043,"bio":34,"body":34,"category":86,"cohort":660,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1044,"legacy":46,"linkedin":1045,"meta":1046,"name":1048,"navigation":15,"path":1049,"photo":34,"role":34,"seo":1050,"stem":1051,"topic":1052,"website":34,"__hash__":1053},"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":1047},"martin-pompery","Martin Pompéry","/faculty/martin-pompery",{},"faculty/martin-pompery","Data Commons (Governance and Technical Infrastructure)","tjuo0EubXDpXzFAIg_QIbXCZltPEmfV5O6BB2OiGxgk",{"id":1055,"title":1056,"affiliation":34,"bio":1057,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1058,"legacy":46,"linkedin":1059,"meta":1060,"name":1062,"navigation":15,"path":1063,"photo":34,"role":34,"seo":1064,"stem":1065,"topic":34,"website":34,"__hash__":1066},"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":1061},"martin-stewart-weeks","Martin Stewart-Weeks","/faculty/martin-stewart-weeks",{},"faculty/martin-stewart-weeks","nuHbo3Pfrch0Q_uq8-nDe3bEo8ZnLVP1A8Psh91GOYc",{"id":1068,"title":1069,"affiliation":1070,"bio":34,"body":34,"category":86,"cohort":87,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1071,"legacy":46,"linkedin":1072,"meta":1073,"name":1075,"navigation":15,"path":1076,"photo":34,"role":34,"seo":1077,"stem":1078,"topic":1079,"website":34,"__hash__":1080},"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":1074},"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":1082,"title":1083,"affiliation":1084,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1085,"legacy":15,"linkedin":1086,"meta":1087,"name":1083,"navigation":15,"path":1089,"photo":34,"role":34,"seo":1090,"stem":1091,"topic":34,"website":34,"__hash__":1092},"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":1088},"michael-khoo","/faculty/michael-khoo",{},"faculty/michael-khoo","vRl_-AO0A8xraN5t_Y_XgR1EMzL-G9WpJKI9LRhnKSM",{"id":1094,"title":1095,"affiliation":1096,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1097,"legacy":15,"linkedin":1098,"meta":1099,"name":1101,"navigation":15,"path":1102,"photo":34,"role":34,"seo":1103,"stem":1104,"topic":34,"website":34,"__hash__":1105},"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":1100},"michael-p-canares","Michael P. Cañares","/faculty/michael-p-canares",{},"faculty/michael-p-canares","6BbSAcLd0R0TuJaYMZ_bcmUHcwp5VrQCMy2iTB6QXlU",{"id":1107,"title":1108,"affiliation":34,"bio":1109,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1110,"legacy":46,"linkedin":34,"meta":1111,"name":1108,"navigation":15,"path":1113,"photo":34,"role":1114,"seo":1115,"stem":1116,"topic":34,"website":34,"__hash__":1117},"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":1112},"michelle-winowatan","/faculty/michelle-winowatan","Research Assistant",{},"faculty/michelle-winowatan","ntoprYtYdb69qzeOoDH0OIZRyYocJVD0uWd0qtFkRIA",{"id":1119,"title":1120,"affiliation":1121,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1122,"legacy":15,"linkedin":1123,"meta":1124,"name":1120,"navigation":15,"path":1126,"photo":34,"role":34,"seo":1127,"stem":1128,"topic":34,"website":34,"__hash__":1129},"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":1125},"natalia-adler","/faculty/natalia-adler",{},"faculty/natalia-adler","x3XYVJctiWzq4vPbSnpRVYZqJf4wJGw9XvT1lhOUHyk",{"id":1131,"title":1132,"affiliation":1133,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1134,"legacy":15,"linkedin":1135,"meta":1136,"name":1132,"navigation":15,"path":1138,"photo":34,"role":34,"seo":1139,"stem":1140,"topic":34,"website":34,"__hash__":1141},"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":1137},"natalia-carfi","/faculty/natalia-carfi",{},"faculty/natalia-carfi","DWP3TEtP8jvPaTnVAcRhfUa81L0oknuD_Ov4ueMyB0s",{"id":1143,"title":1144,"affiliation":1145,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1146,"legacy":15,"linkedin":1147,"meta":1148,"name":1144,"navigation":15,"path":1150,"photo":34,"role":34,"seo":1151,"stem":1152,"topic":34,"website":34,"__hash__":1153},"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":1149},"natalia-domagala","/faculty/natalia-domagala",{},"faculty/natalia-domagala","z4UoxPAvcyt_19R6WsXAwqQ8KG3FlKWI1Df9ceQ2OAk",{"id":1155,"title":1156,"affiliation":34,"bio":34,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":34,"legacy":46,"linkedin":34,"meta":1157,"name":1159,"navigation":15,"path":1160,"photo":34,"role":34,"seo":1161,"stem":1162,"topic":34,"website":34,"__hash__":1163},"faculty/faculty/natalia-gonzalez-alarcon.json","Natalia Gonzalez Alarcon",{"slug":1158},"natalia-gonzalez-alarcon","Natalia González Alarcón","/faculty/natalia-gonzalez-alarcon",{},"faculty/natalia-gonzalez-alarcon","5_O4v0eHO9xJcxtyU5BUk1_2r3V-ybOjkdqGq_DXddQ",{"id":1165,"title":1166,"affiliation":1167,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1168,"legacy":15,"linkedin":1169,"meta":1170,"name":1166,"navigation":15,"path":1172,"photo":34,"role":34,"seo":1173,"stem":1174,"topic":34,"website":34,"__hash__":1175},"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":1171},"nick-hart","/faculty/nick-hart",{},"faculty/nick-hart","nr_yHL5OvAPmgt58TYw04NVjf19AvCLixDQ-ZMwuRko",{"id":1177,"title":1178,"affiliation":1179,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1180,"legacy":15,"linkedin":1181,"meta":1182,"name":1178,"navigation":15,"path":1184,"photo":34,"role":34,"seo":1185,"stem":1186,"topic":34,"website":34,"__hash__":1187},"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":1183},"nicolas-schifano","/faculty/nicolas-schifano",{},"faculty/nicolas-schifano","4rKkBJGscyHEf8wdKvX5iTd--IdVRMqrSf7EtvF_M6g",{"id":1189,"title":1190,"affiliation":1191,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1192,"legacy":15,"linkedin":1193,"meta":1194,"name":1190,"navigation":15,"path":1196,"photo":34,"role":34,"seo":1197,"stem":1198,"topic":34,"website":34,"__hash__":1199},"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":1195},"nigel-jacob","/faculty/nigel-jacob",{},"faculty/nigel-jacob","2p7Bz3gycQDE6ffGBxPzAkMwBrWHVA5ZrOR6huMWsIs",{"id":1201,"title":1202,"affiliation":1203,"bio":34,"body":34,"category":86,"cohort":375,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1204,"legacy":46,"linkedin":1205,"meta":1206,"name":1202,"navigation":15,"path":1208,"photo":34,"role":34,"seo":1209,"stem":1210,"topic":1211,"website":34,"__hash__":1212},"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":1207},"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":1214,"title":1215,"affiliation":1216,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1217,"legacy":15,"linkedin":1218,"meta":1219,"name":1215,"navigation":15,"path":1221,"photo":34,"role":34,"seo":1222,"stem":1223,"topic":34,"website":34,"__hash__":1224},"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":1220},"paul-ko","/faculty/paul-ko",{},"faculty/paul-ko","xQQ0r2in4ZYZPu4O9cD4VvGB4veSoNYrx0eo5AZTaCk",{"id":1226,"title":1227,"affiliation":34,"bio":1228,"body":34,"category":72,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1229,"legacy":46,"linkedin":1230,"meta":1231,"name":1227,"navigation":15,"path":1233,"photo":34,"role":183,"seo":1234,"stem":1235,"topic":34,"website":34,"__hash__":1236},"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":1232},"paulina-behluli","/faculty/paulina-behluli",{},"faculty/paulina-behluli","KzMq7h-4JXW4j4bYqqTkIXwnl5QhtGb3qLT3UDEYy8Q",{"id":1238,"title":1239,"affiliation":1240,"bio":34,"body":34,"category":86,"cohort":1241,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1242,"legacy":46,"linkedin":1243,"meta":1244,"name":1246,"navigation":15,"path":1247,"photo":34,"role":34,"seo":1248,"stem":1249,"topic":1250,"website":34,"__hash__":1251},"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":1245},"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":1253,"title":1254,"affiliation":1255,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1256,"legacy":15,"linkedin":1257,"meta":1258,"name":1254,"navigation":15,"path":1260,"photo":34,"role":34,"seo":1261,"stem":1262,"topic":34,"website":34,"__hash__":1263},"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":1259},"peter-lovelock","/faculty/peter-lovelock",{},"faculty/peter-lovelock","T-0rMxQjEpVL0gBDJT3nu7rEeXXiZmVcF30aB_OECzk",{"id":1265,"title":1266,"affiliation":1267,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1268,"legacy":15,"linkedin":1269,"meta":1270,"name":1266,"navigation":15,"path":1272,"photo":34,"role":34,"seo":1273,"stem":1274,"topic":34,"website":34,"__hash__":1275},"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":1271},"peter-rabley","/faculty/peter-rabley",{},"faculty/peter-rabley","DJ0hn_3mdyNHFgwu8wiVLPcziiRfljHClrWpRzW-3J4",{"id":1277,"title":1278,"affiliation":1279,"bio":34,"body":34,"category":86,"cohort":375,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1280,"legacy":46,"linkedin":1281,"meta":1282,"name":1284,"navigation":15,"path":1285,"photo":34,"role":34,"seo":1286,"stem":1287,"topic":1288,"website":34,"__hash__":1289},"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":1283},"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":1291,"title":1292,"affiliation":1293,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1294,"legacy":15,"linkedin":1295,"meta":1296,"name":1292,"navigation":15,"path":1298,"photo":34,"role":34,"seo":1299,"stem":1300,"topic":34,"website":34,"__hash__":1301},"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":1297},"pieter-de-leenheer","/faculty/pieter-de-leenheer",{},"faculty/pieter-de-leenheer","nAiKM_c4vT7YgMB6xtyozZ0sSP1dSe2FBYyadFwzBYI",{"id":1303,"title":1304,"affiliation":1305,"bio":34,"body":34,"category":86,"cohort":361,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1306,"legacy":46,"linkedin":1307,"meta":1308,"name":1310,"navigation":15,"path":1311,"photo":34,"role":34,"seo":1312,"stem":1313,"topic":1314,"website":34,"__hash__":1315},"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":1309},"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":1317,"title":1318,"affiliation":1319,"bio":34,"body":34,"category":86,"cohort":361,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1320,"legacy":46,"linkedin":1321,"meta":1322,"name":1324,"navigation":15,"path":1325,"photo":34,"role":34,"seo":1326,"stem":1327,"topic":1328,"website":34,"__hash__":1329},"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":1323},"prof-ingmar-weber","Prof. Ingmar Weber","/faculty/prof-ingmar-weber",{},"faculty/prof-ingmar-weber","Computing for Society/Social Good","ePpzAhfnIE9mCjxcBmbJGDxpIVRb0-hToWFYEWasY5s",{"id":1331,"title":1332,"affiliation":34,"bio":1333,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1334,"legacy":46,"linkedin":1335,"meta":1336,"name":1338,"navigation":15,"path":1339,"photo":34,"role":34,"seo":1340,"stem":1341,"topic":34,"website":34,"__hash__":1342},"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":1337},"professor-brian-head-fassa","Professor Brian Head FASSA","/faculty/professor-brian-head-fassa",{},"faculty/professor-brian-head-fassa","ISkmG6eQk4OVvOmFtV0GLkG0lVzQklOWBOHA0Rio7h8",{"id":1344,"title":1345,"affiliation":34,"bio":1346,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1347,"legacy":46,"linkedin":1348,"meta":1349,"name":1351,"navigation":15,"path":1352,"photo":34,"role":34,"seo":1353,"stem":1354,"topic":34,"website":34,"__hash__":1355},"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":1350},"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":1357,"title":1358,"affiliation":1359,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1360,"legacy":15,"linkedin":1361,"meta":1362,"name":1358,"navigation":15,"path":1364,"photo":34,"role":34,"seo":1365,"stem":1366,"topic":34,"website":34,"__hash__":1367},"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":1363},"rachel-wells","/faculty/rachel-wells",{},"faculty/rachel-wells","Zd9QUrN8U6ZrsSjhy-DLWFIY0ZYcw7MdP2uG5IdoZDs",{"id":1369,"title":1370,"affiliation":1371,"bio":34,"body":34,"category":86,"cohort":361,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1372,"legacy":46,"linkedin":1373,"meta":1374,"name":1370,"navigation":15,"path":1376,"photo":34,"role":34,"seo":1377,"stem":1378,"topic":1379,"website":34,"__hash__":1380},"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":1375},"ramy-hcini","/faculty/ramy-hcini",{},"faculty/ramy-hcini","Data Spaces in the context of matching demand and supply and security","-rWrvlNEWCn3XBHQmb9CWYvT0ahjPATj9z7NS8LhpXg",{"id":1382,"title":1383,"affiliation":1384,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1385,"legacy":15,"linkedin":1386,"meta":1387,"name":1383,"navigation":15,"path":1389,"photo":34,"role":34,"seo":1390,"stem":1391,"topic":34,"website":34,"__hash__":1392},"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":1388},"richard-benjamins","/faculty/richard-benjamins",{},"faculty/richard-benjamins","qVN1VHgFK92frM8UkhDTLNHl1e7fKik9zKgXft5EHhY",{"id":1394,"title":1395,"affiliation":34,"bio":1396,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1397,"legacy":46,"linkedin":34,"meta":1398,"name":1395,"navigation":15,"path":1400,"photo":34,"role":1401,"seo":1402,"stem":1403,"topic":34,"website":34,"__hash__":1404},"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":1399},"roshni-singh","/faculty/roshni-singh","Researcher",{},"faculty/roshni-singh","kUaO0OcbTVbPEwRHOjfHOS7QHtVgeVjEWIuGL18ywrM",{"id":1406,"title":1407,"affiliation":1408,"bio":34,"body":34,"category":86,"cohort":375,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1409,"legacy":46,"linkedin":34,"meta":1410,"name":1407,"navigation":15,"path":1412,"photo":34,"role":34,"seo":1413,"stem":1414,"topic":1415,"website":34,"__hash__":1416},"faculty/faculty/ross-purves.json","Ross Purves","University of Zürich","https://cms.thegovlab.com/assets/760a7335-c0af-4597-9f96-96e39bae928d",{"slug":1411},"ross-purves","/faculty/ross-purves",{},"faculty/ross-purves","Teaching with and about (Open)(Government) data","y1f3pdZUzV6y2h-35-8fSldW2Z6ct7TajTj1ikGqh8c",{"id":1418,"title":1419,"affiliation":1420,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1421,"legacy":15,"linkedin":1422,"meta":1423,"name":1419,"navigation":15,"path":1425,"photo":34,"role":34,"seo":1426,"stem":1427,"topic":34,"website":34,"__hash__":1428},"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":1424},"rudi-borrmann","/faculty/rudi-borrmann",{},"faculty/rudi-borrmann","S95VUc9mtByKc1NUVAzZHo4KBPBdauoJdxLVaVn6Mbw",{"id":1430,"title":1431,"affiliation":1432,"bio":34,"body":34,"category":86,"cohort":375,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1433,"legacy":46,"linkedin":1434,"meta":1435,"name":1431,"navigation":15,"path":1437,"photo":34,"role":34,"seo":1438,"stem":1439,"topic":1440,"website":34,"__hash__":1441},"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":1436},"sachit-mahajan","/faculty/sachit-mahajan",{},"faculty/sachit-mahajan","Designing Routing as Civic Infrastructure: Open, Interoperable, Reusable","h2TFPUORfSpJrqXTOYHtmXLzbLYs7bNnHgPb79YXW6g",{"id":1443,"title":1444,"affiliation":34,"bio":1445,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1446,"legacy":46,"linkedin":34,"meta":1447,"name":1444,"navigation":15,"path":1449,"photo":34,"role":1450,"seo":1451,"stem":1452,"topic":34,"website":34,"__hash__":1453},"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":1448},"sampriti-saxena","/faculty/sampriti-saxena","Research Intern",{},"faculty/sampriti-saxena","1lFtbfZZp9b1-kPQmsAfiyWL97jl9yyGknrizGeyyQQ",{"id":1455,"title":1456,"affiliation":1457,"bio":34,"body":34,"category":86,"cohort":375,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1458,"legacy":46,"linkedin":1459,"meta":1460,"name":1456,"navigation":15,"path":1462,"photo":34,"role":34,"seo":1463,"stem":1464,"topic":1465,"website":34,"__hash__":1466},"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":1461},"sebastian-sigloch","/faculty/sebastian-sigloch",{},"faculty/sebastian-sigloch","Switch Data","0kYV6nwaqMpwvxd2A511FYmQqP7CvEYqhjs2h4ZyaTA",{"id":1468,"title":1469,"affiliation":821,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1470,"legacy":15,"linkedin":1471,"meta":1472,"name":1469,"navigation":15,"path":1474,"photo":34,"role":34,"seo":1475,"stem":1476,"topic":34,"website":34,"__hash__":1477},"faculty/faculty/shanna-crumley.json","Shanna Crumley","https://cms.thegovlab.com/assets/bfe62fac-d24c-4f90-9698-f67638348b00","https://www.linkedin.com/in/shannacrumley/",{"slug":1473},"shanna-crumley","/faculty/shanna-crumley",{},"faculty/shanna-crumley","iXUsWMnMY6mPvKHDLhgAZyhxocsHbNxH-_5w1E3Ffww",{"id":1479,"title":1480,"affiliation":821,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1481,"legacy":15,"linkedin":1482,"meta":1483,"name":1480,"navigation":15,"path":1485,"photo":34,"role":34,"seo":1486,"stem":1487,"topic":34,"website":34,"__hash__":1488},"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":1484},"smita-jain","/faculty/smita-jain",{},"faculty/smita-jain","g6qNp1x4R9a3MCXfGu-OOgoj8Dze1jUxqKdMuaw29M4",{"id":1490,"title":1491,"affiliation":1492,"bio":1493,"body":34,"category":72,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1494,"legacy":46,"linkedin":1495,"meta":1496,"name":1491,"navigation":15,"path":1498,"photo":34,"role":1499,"seo":1500,"stem":1501,"topic":34,"website":34,"__hash__":1502},"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":1497},"stefaan-verhulst","/faculty/stefaan-verhulst","Course Lead",{},"faculty/stefaan-verhulst","OU0_J9qbLAdOggqbBTXHGlhgyazJ7eKPpwEn4eIiPdA",{"id":1504,"title":1505,"affiliation":1506,"bio":34,"body":34,"category":86,"cohort":375,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1507,"legacy":46,"linkedin":1508,"meta":1509,"name":1505,"navigation":15,"path":1511,"photo":34,"role":34,"seo":1512,"stem":1513,"topic":1514,"website":34,"__hash__":1515},"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":1510},"stefan-metzger","/faculty/stefan-metzger",{},"faculty/stefan-metzger","TriRegio Data Space / Data Space Concept","Si9xi0nfhdPCS4LYK1_0Zl3GtlwKsgmkY3IkaVGxIjM",{"id":1517,"title":1518,"affiliation":1519,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1520,"legacy":15,"linkedin":1521,"meta":1522,"name":1518,"navigation":15,"path":1524,"photo":34,"role":34,"seo":1525,"stem":1526,"topic":34,"website":34,"__hash__":1527},"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":1523},"stephen-chacha","/faculty/stephen-chacha",{},"faculty/stephen-chacha","XFQOVAoxxF-67x3MvbGeTd21mOgiVjsQQPfmiv5hsA0",{"id":1529,"title":1530,"affiliation":1531,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1532,"legacy":15,"linkedin":1533,"meta":1534,"name":1530,"navigation":15,"path":1536,"photo":34,"role":34,"seo":1537,"stem":1538,"topic":34,"website":34,"__hash__":1539},"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":1535},"stuart-campo","/faculty/stuart-campo",{},"faculty/stuart-campo","xXK07w7YG_SxEIXVQ7xX6hefQP1-rtKW0CU4ggTVc_w",{"id":1541,"title":1542,"affiliation":1543,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1544,"legacy":15,"linkedin":1545,"meta":1546,"name":1542,"navigation":15,"path":1548,"photo":34,"role":34,"seo":1549,"stem":1550,"topic":34,"website":34,"__hash__":1551},"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":1547},"tyler-kleykamp","/faculty/tyler-kleykamp",{},"faculty/tyler-kleykamp","DOVnyGWVqDjwZO2jmL5sZtThIYSc2L4-qLXFkUbHh6I",{"id":1553,"title":1554,"affiliation":34,"bio":1555,"body":34,"category":59,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1556,"legacy":46,"linkedin":34,"meta":1557,"name":1554,"navigation":15,"path":1559,"photo":34,"role":1114,"seo":1560,"stem":1561,"topic":34,"website":34,"__hash__":1562},"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":1558},"uma-kalkar","/faculty/uma-kalkar",{},"faculty/uma-kalkar","19ZAaVczDlFV-CVrOsdscP-9-93mnw4uUTgdHt78-6I",{"id":1564,"title":1565,"affiliation":1566,"bio":34,"body":34,"category":86,"cohort":115,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1567,"legacy":15,"linkedin":1568,"meta":1569,"name":1565,"navigation":15,"path":1571,"photo":34,"role":34,"seo":1572,"stem":1573,"topic":34,"website":34,"__hash__":1574},"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":1570},"valentin-muresan","/faculty/valentin-muresan",{},"faculty/valentin-muresan","bMedh5cgp7_cnJQAqbyIyK6naTlb14-9oRlJ539yl5Q",{"id":1576,"title":1577,"affiliation":1371,"bio":34,"body":34,"category":86,"cohort":361,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1578,"legacy":46,"linkedin":1579,"meta":1580,"name":1577,"navigation":15,"path":1582,"photo":34,"role":34,"seo":1583,"stem":1584,"topic":1379,"website":34,"__hash__":1585},"faculty/faculty/wassim-kallel.json","Wassim Kallel","https://cms.thegovlab.com/assets/7fc3249b-36ae-4bf2-8a24-f17915701918","https://www.linkedin.com/in/wassimkallel/",{"slug":1581},"wassim-kallel","/faculty/wassim-kallel",{},"faculty/wassim-kallel","vHzByAWe3IfptF8--3FBseOaOdIP_uSWNAH37IgoZbs",{"id":1587,"title":1588,"affiliation":1589,"bio":34,"body":34,"category":86,"cohort":660,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1590,"legacy":46,"linkedin":1591,"meta":1592,"name":1588,"navigation":15,"path":1594,"photo":34,"role":34,"seo":1595,"stem":1596,"topic":1597,"website":34,"__hash__":1598},"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":1593},"yannik-sassmann","/faculty/yannik-sassmann",{},"faculty/yannik-sassmann","BMZ Data and AI Lab","ZlegG-Md_hy5eQodCby9lZL8eA_6iQMH6KvMupVtYeA",1781873987355]