[{"data":1,"prerenderedAt":1599},["ShallowReactive",2],{"page-config-/news/non-traditional-data-and-the-challenge-of-measurement-in-the-united-states":3,"news-post-non-traditional-data-and-the-challenge-of-measurement-in-the-united-states":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/non-traditional-data-and-the-challenge-of-measurement-in-the-united-states.json","Non-Traditional Data and the Challenge of Measurement in the United States","Stefaan Verhulst",[],"2026-06-30T17:08:00","The examples that follow provide a snapshot of current experimentation in the United States. They are not intended to be exhaustive, but rather to illustrate the diversity of approaches through which non-traditional data is being integrated with surveys, censuses, and administrative records to strengthen official statistics and inform public decision-making.","json",false,"https://cms.thegovlab.com/assets/50257d5f-e8a9-4dee-a857-6cb4aec21a40","\u003Cp id=\"e807\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">By Dr. Stefaan Verhulst\u003C/p>\n\u003Cp id=\"bc7b\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">\u003Cem class=\"ot\">Prepared to inform the Webinar \u003C/em>\u003Ca class=\"z nu\" href=\"https://napawash.org/event/meeting-the-challenge-of-measurement-a-napa-technology-standing-panel-code-and-bridge-alliance-webinar\" target=\"_blank\" rel=\"noopener ugc nofollow\">\u003Cem class=\"ot\">“Meeting the Challenge of Measurement”\u003C/em>\u003C/a>\u003Cem class=\"ot\">, a NAPA Technology Standing Panel, CODE, and Bridge Alliance webinar (June 30, 2026). This piece was originally posted on \u003Ca href=\"https://sverhulst.medium.com/non-traditional-data-and-the-challenge-of-measurement-in-the-united-states-8d011f611514\" target=\"_blank\" rel=\"noopener\">Medium\u003C/a>.\u003C/em>\u003C/p>\n\u003Ch2 id=\"24fc\" class=\"ou ov hp bb ow ox oy oz pa pb pc pd pe pf pg ph pi pj pk pl pm pn po pp pq pr bg\" data-selectable-paragraph=\"\">Introduction\u003C/h2>\n\u003Cp id=\"591e\" class=\"pw-post-body-paragraph nv nw hp nx b ny ps oa ob oc pt oe of og pu oi oj ok pv om on oo pw oq or os hi bg\" data-selectable-paragraph=\"\">Official statistics have long served as the bedrock of evidence-based policymaking in the United States, but the ground beneath them is shifting. Survey response rates are falling; collection costs are rising; privacy concerns are mounting; and public trust in government information has eroded just as the questions policymakers must answer—about digital inclusion, financial resilience, climate impacts, mobility, and economic opportunity—have grown more complex and time-sensitive. The statistical systems built for a slower, more uniform economy were never designed to keep pace with a society this dynamic.\u003C/p>\n\u003Cp id=\"f35a\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">Out of this tension has come a quiet but consequential shift: the rise of the re-use of non-traditional data, or NTD. Generated continuously through commercial transactions, digital platforms, connected devices, satellites, financial institutions, mobility services, and online interactions, this data was never collected with statistical production in mind. Yet when it is responsibly governed and woven together with surveys, censuses, and administrative records, it gives statistical agencies something they have always wanted but rarely had: a near-continuous, granular window into economic and social life. The promise is not that non-traditional data will replace official statistics but that it will make them faster, cheaper, and more relevant—while asking less of the public in the process.\u003C/p>\n\u003Cp id=\"029c\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">As in other countries, the United States has become a testing ground for this hybrid approach. Federal statistical agencies — the \u003Ca class=\"z nu\" href=\"https://www.census.gov/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Census Bureau\u003C/a>, the \u003Ca class=\"z nu\" href=\"https://www.bls.gov/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Bureau of Labor Statistics\u003C/a>, and the \u003Ca class=\"z nu\" href=\"https://www.bea.gov/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Bureau of Economic Analysis\u003C/a> among them — have increasingly partnered with universities, nonprofits, philanthropies, and private companies to explore what non-traditional data can offer. Outside government, organizations such as Opportunity Insights, the JP MorganChase Institute, Microsoft Research, Mastercard’s Center for Inclusive Growth, and Meta’s Data for Good program have shown that privately held, passively generated data can produce policy-relevant indicators that official statistics alone cannot.\u003C/p>\n\u003Cp id=\"1537\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">What emerges from these efforts is not competition between data sources but complementarity. Surveys still offer representativeness (“ground truth”) and rich context; administrative records still offer comprehensive population coverage; and non-traditional data contributes something that is often limited in both: timeliness, granularity, and the ability to see change as it happens rather than months later.\u003C/p>\n\u003Cp id=\"fb4e\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">The examples that follow provide a snapshot of current experimentation in the United States. They are not intended to be exhaustive, but rather to illustrate the diversity of approaches through which non-traditional data is being integrated with surveys, censuses, and administrative records to strengthen official statistics and inform public decision-making.\u003C/p>\n\u003Ch2 id=\"14ff\" class=\"ou ov hp bb ow ox oy oz pa pb pc pd pe pf pg ph pi pj pk pl pm pn po pp pq pr bg\" data-selectable-paragraph=\"\">A Snapshot of Current Practices\u003C/h2>\n\u003Cp id=\"19e1\" class=\"pw-post-body-paragraph nv nw hp nx b ny ps oa ob oc pt oe of og pu oi oj ok pv om on oo pw oq or os hi bg\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nx hq\">Measuring Opportunity, Connection, and Inclusion\u003C/strong>\u003C/p>\n\u003Cp id=\"a1de\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">Few examples illustrate this hybrid model better than the work of Raj Chetty and \u003Ca class=\"z nu\" href=\"https://opportunityinsights.org/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Opportunity Insights\u003C/a>. What began as a project linking anonymized IRS tax records with Census and education data has grown into something far more expansive, incorporating Meta’s social-network data, commercial housing information, geospatial datasets, and consumer credit data. The result — tools like the \u003Ca class=\"z nu\" href=\"https://www.opportunityatlas.org/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Opportunity Atlas\u003C/a>, the \u003Ca class=\"z nu\" href=\"https://socialcapital.org/?dimension=EconomicConnectednessIndividual&geoLevel=county&selectedId=&dim1=EconomicConnectednessIndividual&dim2=CohesivenessClustering&dim3=CivicEngagementVolunteeringRates&bigModalSection=&bigModalChart=scatterplot&showOutliers=false&colorBy=\" target=\"_blank\" rel=\"noopener ugc nofollow\">Social Capital Atlas\u003C/a>, and the \u003Ca class=\"z nu\" href=\"https://github.com/OpportunityInsights/EconomicTracker\" target=\"_blank\" rel=\"noopener ugc nofollow\">Economic Tracker\u003C/a> — offers neighborhood-level measures of mobility and connectedness that would simply be impossible to produce from surveys alone, and that gave policymakers a near real-time read on the economy during recent shocks.\u003C/p>\n\u003Cp id=\"81af\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">\u003Ca class=\"z nu\" href=\"https://ai.meta.com/ai-for-good/datasets/social-connectedness-index/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Meta’s Social Connectedness Index\u003C/a> extends this logic into a domain official statistics have always struggled to capture: social capital. By aggregating anonymized Facebook friendship ties, the index measures how socially — not just geographically — close two communities are, a signal researchers have used to study disaster recovery, labor mobility, and political polarization.\u003C/p>\n\u003Cp id=\"7ca9\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">Microsoft’s \u003Ca class=\"z nu\" href=\"https://www.nber.org/papers/w32932\" target=\"_blank\" rel=\"noopener ugc nofollow\">analysis of telemetry\u003C/a> from roughly 40 million Windows devices does something similar for the digital divide, showing that meaningful digital inclusion is about engagement and skill, not merely whether a household has a broadband connection.\u003C/p>\n\u003Cp id=\"dd17\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">\u003Ca class=\"z nu\" href=\"https://www.inclusivegrowthscore.com/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Mastercard’s Inclusive Growth Score \u003C/a>takes a parallel approach to economic opportunity itself. By blending anonymized payment transaction data with open data on housing, employment, education, and health, it produces a census-tract-level picture of whether growth is actually shared — a question that GDP and household income figures, on their own, cannot answer.\u003C/p>\n\u003Cp id=\"539c\" class=\"pw-post-body-paragraph nv nw hp nx b ny oa ob oc oe of og oi oj ok om on oo oq or vn os hi bg\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nx hq\">Tracking Markets and Labor in Real Time\u003C/strong>\u003C/p>\n\u003Cp id=\"fc1c\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">Housing and labor markets move faster than most official statistics can follow, which is exactly where non-traditional data has found some of its clearest use cases. \u003Ca class=\"z nu\" href=\"https://www.zillow.com/research/data/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Zillow’s \u003C/a>indices—drawn from millions of property listings, valuations, and transactions—are updated monthly down to the ZIP code and neighborhood level and have become trusted enough to be \u003Ca class=\"z nu\" href=\"https://fred.stlouisfed.org/release?rid=503\" target=\"_blank\" rel=\"noopener ugc nofollow\">disseminated\u003C/a> through the Federal Reserve Bank of St. Louis alongside government series.\u003C/p>\n\u003Cp id=\"b8c6\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">\u003Ca class=\"z nu\" href=\"https://www.adpemploymentreport.com/\" target=\"_blank\" rel=\"noopener ugc nofollow\">ADP’s payroll data,\u003C/a> covering millions of workers, offers economists an early read on labor-market shifts well before official employment figures are released.\u003C/p>\n\u003Cp id=\"a699\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nx hq\">The Census Bureau’s Own Experiments\u003C/strong>\u003C/p>\n\u003Cp id=\"7930\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">Perhaps most tellingly, the Census Bureau itself has institutionalized this experimentation. Its \u003Ca class=\"z nu\" href=\"https://www.census.gov/data/experimental-data-products.html\" target=\"_blank\" rel=\"noopener ugc nofollow\">Experimental Data Products\u003C/a> program tests new methods in the open, with full methodological documentation, before deciding whether they belong in official production. \u003Ca class=\"z nu\" href=\"https://www.census.gov/data/experimental-data-products/single-family-housing-satellite-imagery.html\" target=\"_blank\" rel=\"noopener ugc nofollow\">One example \u003C/a>pairs high-resolution satellite imagery with computer vision to estimate monthly housing starts. This does not replace field surveys but provides supplemental visibility into the dynamics of housing. The Bureau has applied the same blended logic to retail sales, combining point-of-sale transaction data with traditional surveys and payroll records, and to business conditions through products like the \u003Ca class=\"z nu\" href=\"https://www.census.gov/data/experimental-data-products/business-trends-and-outlook-survey.html\" target=\"_blank\" rel=\"noopener ugc nofollow\">Business Trends and Outlook Survey\u003C/a>. Even the \u003Ca class=\"z nu\" href=\"https://www.census.gov/data/experimental-data-products/household-pulse-survey.html\" target=\"_blank\" rel=\"noopener ugc nofollow\">Household Pulse Survey\u003C/a>, built and deployed within weeks during the COVID-19 pandemic, showed that official statistics can be agile when the moment demands it.\u003C/p>\n\u003Ch2 id=\"99b2\" class=\"ou ov hp bb ow ox oy oz pa pb pc pd pe pf pg ph pi pj pk pl pm pn po pp pq pr bg\" data-selectable-paragraph=\"\">Making the Re-Use of NTD More Adopted and Reliable\u003C/h2>\n\u003Cp id=\"fe3d\" class=\"pw-post-body-paragraph nv nw hp nx b ny ps oa ob oc pt oe of og pu oi oj ok pv om on oo pw oq or os hi bg\" data-selectable-paragraph=\"\">For all its promise, the re-use of NTD remains largely additive rather than foundational — useful complement that sits alongside official statistics rather than load-bearing components of the system itself. Turning non-traditional data into a genuinely reliable pillar of national statistics will require resolving several hard problems that none of the case studies above have fully solved.\u003C/p>\n\u003Cp id=\"344b\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">The first is \u003Cstrong class=\"nx hq\">awareness and understanding.\u003C/strong> While interest in non-traditional data has grown considerably, many policymakers, statistical leaders, and public officials remain unfamiliar with both the opportunities and the limitations of these emerging data sources. In some cases, non-traditional data sources are viewed as a panacea capable of replacing surveys and official statistics; in others, they are dismissed as inherently biased or unreliable. Neither perspective tells the whole story. Building greater awareness of when non-traditional data types are—and are not—fit for purpose is therefore an essential first step. This includes strengthening data literacy among decision-makers, \u003Ca class=\"z nu\" href=\"https://opendatapolicylab.org/articles/ntd-blog-update-recent-uses-of-non-traditional-data-in-the-public-interest-january-april-2026/\" target=\"_blank\" rel=\"noopener ugc nofollow\">promoting evidence on successful use cases\u003C/a>, \u003Ca class=\"z nu\" href=\"https://static.ie.edu/CGC/10_Verhulst_DataCollaboratives_2023.pdf\" target=\"_blank\" rel=\"noopener ugc nofollow\">encouraging collaboration between statistical agencies and external data providers\u003C/a>, and fostering a more nuanced understanding of how surveys, administrative records, and non-traditional data can complement one another within a hybrid statistical ecosystem.\u003C/p>\n\u003Cp id=\"f844\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">The second is \u003Cstrong class=\"nx hq\">representativeness\u003C/strong>. Windows telemetry says nothing about households that do not own a PC; payment and payroll data say little about the cash economy or the unbanked; Facebook friendship graphs say nothing about people who are not on the platform. Each source carries the demographic fingerprint of whoever generated it, and those fingerprints rarely match the population a national statistic is meant to describe. Building reliable bias-correction methods—benchmarking commercial data against the population totals that surveys and the decennial census still uniquely provide—has to be solved before these sources can stand on their own rather than borrow legitimacy from the surveys they sit beside.\u003C/p>\n\u003Cp id=\"b2f9\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">The third is \u003Cstrong class=\"nx hq\">access and continuity\u003C/strong>. Much of what makes these data sources valuable also makes them fragile: they are privately owned, can be withdrawn, repriced, or restructured at a company’s discretion, and were never built with the multi-decade continuity that a national statistical series requires. Durable \u003Ca class=\"z nu\" href=\"https://contractsfordatacollaboration.org/\" target=\"_blank\" rel=\"noopener ugc nofollow\">data sharing agreements\u003C/a> and sustainable partnerships are therefore a prerequisite for treating these sources as dependable public infrastructure as opposed to temporary arrangements.\u003C/p>\n\u003Cp id=\"97c6\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">The fourth is \u003Cstrong class=\"nx hq\">methodological transparency\u003C/strong>. Official statistics earn public trust because their methods are published, replicable, and open to scrutiny. Proprietary algorithms and commercial data-processing pipelines are often the opposite. Closing that gap will require sufficient transparency around methodology, sampling, processing, and limitations to enable independent validation while protecting legitimate commercial interests.\u003C/p>\n\u003Cp id=\"8e9c\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">The fifth is \u003Cstrong class=\"nx hq\">public trust, and social license\u003C/strong>. Legal authority to access and reuse data is not the same as public legitimacy. Even where data sharing is lawful and privacy-preserving, people may still question whether particular uses align with their expectations and values. Building a \u003Ca class=\"z nu\" href=\"https://www.afd.fr/en/ressources/reimagining-data-governance-ai\" target=\"_blank\" rel=\"noopener ugc nofollow\">social license for the reuse\u003C/a> of non-traditional data requires transparency, meaningful public engagement, clear articulation of public value, robust privacy protections, and accountable governance. Without public confidence and legitimacy, technically sound data initiatives may struggle to achieve long-term sustainability.\u003C/p>\n\u003Cp id=\"d897\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">The sixth is \u003Cstrong class=\"nx hq\">institutional capacity and data stewardship\u003C/strong>. Statistical agencies built around survey methodology now require additional capabilities in data engineering, privacy-enhancing technologies, machine learning, legal and contractual negotiation, and partnership management. More fundamentally, they need to build \u003Cstrong class=\"nx hq\">data stewardship\u003C/strong> capacity — \u003Ca class=\"z nu\" href=\"https://arxiv.org/abs/2502.10399\" target=\"_blank\" rel=\"noopener ugc nofollow\">the ability\u003C/a> to responsibly \u003Ca class=\"z nu\" href=\"https://arxiv.org/abs/2601.06687\" target=\"_blank\" rel=\"noopener ugc nofollow\">identify, access, govern, integrate, and reuse data\u003C/a> generated outside government in ways that maximize public value while minimizing risks. The Census Bureau’s Experimental Data Products program illustrates how these capabilities can be developed incrementally through experimentation, rigorous evaluation, and public engagement, but scaling this approach across the federal statistical system remains a significant undertaking.\u003C/p>\n\u003Cp id=\"0097\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">Finally, there is the question of \u003Cstrong class=\"nx hq\">governance and standards\u003C/strong>. Each initiative described above currently operates under its own definitions, access arrangements, quality frameworks, and governance mechanisms. For non-traditional data to become a genuine third pillar of national statistics alongside surveys and administrative records, the field will require \u003Ca class=\"z nu\" href=\"https://unsceb.org/sites/default/files/2023-05/Annex%201%20-%20Mapping%20and%20Comparing%20Data%20Governance%20Frameworks.pdf\" target=\"_blank\" rel=\"noopener ugc nofollow\">share\u003C/a>d\u003Ca class=\"z nu\" href=\"https://unsceb.org/sites/default/files/2023-05/Annex%201%20-%20Mapping%20and%20Comparing%20Data%20Governance%20Frameworks.pdf\" target=\"_blank\" rel=\"noopener ugc nofollow\"> quality standards\u003C/a>, common frameworks for assessing fitness for purpose, \u003Ca class=\"z nu\" href=\"https://unsceb.org/sites/default/files/2023-05/Annex%201%20-%20Mapping%20and%20Comparing%20Data%20Governance%20Frameworks.pdf\" target=\"_blank\" rel=\"noopener ugc nofollow\">interoperable governance practices\u003C/a>, and clearer federal guidance on when and how non-traditional data can appropriately contribute to official statistics rather than simply complement them.\u003C/p>\n\u003Cp id=\"cfd1\" class=\"pw-post-body-paragraph nv nw hp nx b ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os hi bg\" data-selectable-paragraph=\"\">In short, the challenge is not simply to obtain more data. It is to build the awareness, methods, institutions, governance, and public legitimacy needed to make non-traditional data a trusted and durable component of the nation’s statistical infrastructure.\u003C/p>",{},"/blogposts/non-traditional-data-and-the-challenge-of-measurement-in-the-united-states",{"title":40,"description":44},"non-traditional-data-and-the-challenge-of-measurement-in-the-united-states","blogposts/non-traditional-data-and-the-challenge-of-measurement-in-the-united-states","P9eI9qVI0S_QyaOadWWi9LssbJhzogWYeK5sYZDYvsA",[56,69,83,98,112,125,137,149,162,174,188,200,212,224,236,248,260,270,282,296,309,322,335,346,358,372,387,400,413,426,439,452,461,474,486,498,511,524,536,548,560,572,585,598,610,622,635,646,657,671,684,698,709,722,733,746,758,770,782,795,807,819,833,846,859,871,883,895,907,919,931,943,955,968,980,992,1006,1018,1030,1041,1055,1068,1082,1094,1107,1119,1131,1143,1155,1165,1177,1189,1201,1214,1226,1238,1253,1265,1277,1291,1303,1317,1331,1344,1357,1369,1382,1394,1406,1418,1430,1443,1455,1468,1479,1490,1503,1516,1528,1540,1552,1563,1575,1586],{"id":57,"title":58,"affiliation":34,"bio":59,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":61,"legacy":46,"linkedin":34,"meta":62,"name":58,"navigation":15,"path":64,"photo":34,"role":65,"seo":66,"stem":67,"topic":34,"website":34,"__hash__":68},"faculty/faculty/adam-zable.json","Adam Zable","Adam Zable is a Research Fellow at the GovLab. His work and research interests focus on the intersection of emerging technologies, data governance, and democracy. In his previous role as the Director of Emerging Technologies at the Digital Trade and Data Governance Hub, he spearheaded the development of the Global Data Governance Mapping Project, assessing national-level data governance efforts across the globe, and organized conferences on the international policy implications of extended reality and on data governance in the age of generative AI. He holds a Master of Public Policy from the Willy Brandt School of Public Policy and resides in Freiburg, Germany.","author","https://cms.thegovlab.com/assets/1646f23a-0139-43d8-b0b2-51a455000728",{"slug":63},"adam-zable","/faculty/adam-zable","Research Fellow",{},"faculty/adam-zable","5bR3wydz1eXMWjD7PSD8j4im9GZM7_x4k8iz5TN85Dw",{"id":70,"title":71,"affiliation":34,"bio":72,"body":34,"category":73,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":74,"legacy":15,"linkedin":75,"meta":76,"name":71,"navigation":15,"path":78,"photo":34,"role":79,"seo":80,"stem":81,"topic":34,"website":34,"__hash__":82},"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":77},"adrienne-schmoeker","/faculty/adrienne-schmoeker","Course Advisor",{},"faculty/adrienne-schmoeker","z_7IPuXoKOHDOgpFTsSqBY_T1QYYDk0kAWowjYGC3ow",{"id":84,"title":85,"affiliation":86,"bio":34,"body":34,"category":87,"cohort":88,"description":34,"expertise":34,"extension":45,"headshot":34,"image":89,"legacy":46,"linkedin":90,"meta":91,"name":85,"navigation":15,"path":93,"photo":34,"role":34,"seo":94,"stem":95,"topic":96,"website":34,"__hash__":97},"faculty/faculty/alex-hutchison.json","Alex Hutchison","Forr Data","guest-faculty","DS Berlin 2024, DS Berlin 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2020-2022","https://cms.thegovlab.com/assets/22da179a-53e4-4752-aa1a-1f70bb07ffaa","https://www.linkedin.com/in/p-alison-paprica-4468326/",{"slug":120},"alison-paprica","/faculty/alison-paprica",{},"faculty/alison-paprica","GdVZUxEJDplSSVWpxCQFaDliddUXHhtXXbk2BbtBQeA",{"id":126,"title":127,"affiliation":128,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":129,"legacy":15,"linkedin":130,"meta":131,"name":127,"navigation":15,"path":133,"photo":34,"role":34,"seo":134,"stem":135,"topic":34,"website":34,"__hash__":136},"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":132},"amen-ra-mashariki","/faculty/amen-ra-mashariki",{},"faculty/amen-ra-mashariki","B9EIq50RRHe6ou-4B7T6sCncR2ahTJxjNa8CKUzSMHg",{"id":138,"title":139,"affiliation":140,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":141,"legacy":15,"linkedin":142,"meta":143,"name":139,"navigation":15,"path":145,"photo":34,"role":34,"seo":146,"stem":147,"topic":34,"website":34,"__hash__":148},"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":144},"amy-regas","/faculty/amy-regas",{},"faculty/amy-regas","YdWm44wcLD4bmciE5cbyAEjZTvsqHUtaxZLa3Hsy1I4",{"id":150,"title":151,"affiliation":152,"bio":34,"body":34,"category":87,"cohort":102,"description":34,"expertise":34,"extension":45,"headshot":34,"image":153,"legacy":46,"linkedin":154,"meta":155,"name":151,"navigation":15,"path":157,"photo":34,"role":34,"seo":158,"stem":159,"topic":160,"website":34,"__hash__":161},"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":156},"andrea-zaramella","/faculty/andrea-zaramella",{},"faculty/andrea-zaramella","Use of TELCO Data for Impact 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Collinge","Jacobs","https://cms.thegovlab.com/assets/6a9b4a0a-d447-4c44-aeaa-ab2155274359","https://www.linkedin.com/in/andrew-collinge-0708b91b/",{"slug":169},"andrew-collinge","/faculty/andrew-collinge",{},"faculty/andrew-collinge","CJI_-FFIpM7E761MupRMJsu5qZDTThFIU9aiNR1X2s0",{"id":175,"title":176,"affiliation":34,"bio":177,"body":34,"category":73,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":178,"legacy":46,"linkedin":179,"meta":180,"name":182,"navigation":15,"path":183,"photo":34,"role":184,"seo":185,"stem":186,"topic":34,"website":34,"__hash__":187},"faculty/faculty/andrew-j-zahuranec.json","Andrew J Zahuranec","\u003Cp dir=\"ltr\">Andrew J. Zahuranec is a Research and Partnership Manager at The GovLab, where he oversees projects focused on how advances in science and technology can improve governance and help society better address systemic challenges such as climate change and migration. Andrew has coordinated and managed various initiatives, including the #Data4COVID19 Africa Challenge—a collaboration between l'Agence française de développement (AFD), Expertise France, and The GovLab to accelerate responsible data innovation to tackle COVID-19 pandemic and its effects across Africa—and the Responsible Data for Children initiative—a collaboration with UNICEF to promote the more effective and responsible use of data for and about children in settings afflicted with challenges such as forced migration, climate change, and disaster response. \u003C/p>\n\u003Cp>\u003Cstrong id=\"docs-internal-guid-ccdeb17b-7fff-01a5-cb71-4ee622a7f2b9\">\u003Cbr>\u003C/strong>In addition, Andrew conducts significant research on data collaboration and data stewardship, especially as they relate to ongoing, dynamic crises. He developed publications including \u003Cem>The #Data4COVID19 Review, The Use of Mobility Data for Responding to the COVID-19 Pandemic, and What Is Mobility Data? Where Is It Used?\u003C/em>, all of which examined the role that non-traditional data could play in understanding patterns of human mobility for pandemic response. He is a lead for the Data Stewards Academy and has facilitated courses on data stewardship for the State of Maryland.\u003C/p>","https://cms.thegovlab.com/assets/d7d6b2e8-0e2e-4f85-b1b7-2074e8ab6932","https://www.linkedin.com/in/ajzahuranec/",{"slug":181},"andrew-j-zahuranec","Andrew J. Zahuranec","/faculty/andrew-j-zahuranec","Course Facilitator",{},"faculty/andrew-j-zahuranec","yzaZQzcLZDC1c1DhsU9KAioBGaCIWd8NOlZVK5ui2Vw",{"id":189,"title":190,"affiliation":34,"bio":191,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":192,"legacy":46,"linkedin":34,"meta":193,"name":190,"navigation":15,"path":195,"photo":34,"role":196,"seo":197,"stem":198,"topic":34,"website":34,"__hash__":199},"faculty/faculty/andrew-young.json","Andrew Young","Andrew Young is the Knowledge Director at The GovLab, where he leads research efforts focusing on the impact of technology on public institutions. Among the grant-funded projects he has directed are a global assessment of the impact of open government data; comparative benchmarking of government innovation efforts against those of other countries; a methodology for leveraging corporate data to benefit the public good; and crafting the experimental design for testing the adoption of technology innovations in federal agencies.","https://cms.thegovlab.com/assets/25da5949-b5b6-4d38-9536-d1c14254d987",{"slug":194},"andrew-young","/faculty/andrew-young","Knowledge Director",{},"faculty/andrew-young","ES3foDZEbla4rnSjm-O-j2YKaeuV7UJT-wYzo3nsWHM",{"id":201,"title":202,"affiliation":203,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":204,"legacy":15,"linkedin":205,"meta":206,"name":202,"navigation":15,"path":208,"photo":34,"role":34,"seo":209,"stem":210,"topic":34,"website":34,"__hash__":211},"faculty/faculty/astha-kapoor.json","Astha Kapoor","Aapti Institute","https://cms.thegovlab.com/assets/e6b4a35a-9c6b-4cca-a83f-ec6a030191cf","https://www.linkedin.com/in/astha-kapoor-020b4760/",{"slug":207},"astha-kapoor","/faculty/astha-kapoor",{},"faculty/astha-kapoor","1dBPf4BnttnxR4o4dPzmhz1cd59hs20Kcoz01SZiY50",{"id":213,"title":214,"affiliation":215,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":216,"legacy":15,"linkedin":217,"meta":218,"name":214,"navigation":15,"path":220,"photo":34,"role":34,"seo":221,"stem":222,"topic":34,"website":34,"__hash__":223},"faculty/faculty/audrey-tang.json","Audrey Tang","Ministry of Foreign Affairs, Taiwan","https://cms.thegovlab.com/assets/69c84800-8eba-4fc4-b536-4971a87729bb","https://www.linkedin.com/in/tangaudrey/",{"slug":219},"audrey-tang","/faculty/audrey-tang",{},"faculty/audrey-tang","guDc8SZ1teF85fU2ZpyjBo5kT7eFEi6aqz0KnMI3ZQc",{"id":225,"title":226,"affiliation":227,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":228,"legacy":15,"linkedin":229,"meta":230,"name":226,"navigation":15,"path":232,"photo":34,"role":34,"seo":233,"stem":234,"topic":34,"website":34,"__hash__":235},"faculty/faculty/bapu-vaitla.json","Bapu Vaitla","City of Davis & Data2X","https://cms.thegovlab.com/assets/55cfe9b5-222f-4521-8416-b6dca6f2969c","https://www.linkedin.com/in/bapu-vaitla-3389b94/",{"slug":231},"bapu-vaitla","/faculty/bapu-vaitla",{},"faculty/bapu-vaitla","xY4K5eu3CdK8TcDvRERRonurgCaRe7vfqME3ptSPXoQ",{"id":237,"title":238,"affiliation":239,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":240,"legacy":15,"linkedin":241,"meta":242,"name":238,"navigation":15,"path":244,"photo":34,"role":34,"seo":245,"stem":246,"topic":34,"website":34,"__hash__":247},"faculty/faculty/barbara-ubaldi.json","Barbara Ubaldi","Tony Blair Institute for Global Change","https://cms.thegovlab.com/assets/6a3cc3f2-b0d1-46d0-94fe-088d6607976f","https://www.linkedin.com/in/barbara-ubaldi-416146/",{"slug":243},"barbara-ubaldi","/faculty/barbara-ubaldi",{},"faculty/barbara-ubaldi","OqdWXuIUfhBjhmn9X4-G4P0L3YgggPM_hGvvy9C8Iho",{"id":249,"title":250,"affiliation":251,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":252,"legacy":15,"linkedin":253,"meta":254,"name":250,"navigation":15,"path":256,"photo":34,"role":34,"seo":257,"stem":258,"topic":34,"website":34,"__hash__":259},"faculty/faculty/bart-rousseau.json","Bart Rousseau","Digital Vlaanderen","https://cms.thegovlab.com/assets/1aa4a2bb-f3e7-4509-89e5-0605a0a92423","https://www.linkedin.com/in/bartrosseau/",{"slug":255},"bart-rousseau","/faculty/bart-rousseau",{},"faculty/bart-rousseau","FzXJOFe3JOVPVIw_CuvcAR_rOIaEScwzutzZ2svmUoI",{"id":261,"title":262,"affiliation":34,"bio":34,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":34,"legacy":46,"linkedin":34,"meta":263,"name":265,"navigation":15,"path":266,"photo":34,"role":34,"seo":267,"stem":268,"topic":34,"website":34,"__hash__":269},"faculty/faculty/begona-g-otero.json","Begona G Otero",{"slug":264},"begona-g-otero","Begoña G. Otero","/faculty/begona-g-otero",{},"faculty/begona-g-otero","DNXbH_tOdiKD7ZwTGOxuFF0bw3CYvI9DrIgLxq-n568",{"id":271,"title":272,"affiliation":273,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":274,"legacy":15,"linkedin":275,"meta":276,"name":272,"navigation":15,"path":278,"photo":34,"role":34,"seo":279,"stem":280,"topic":34,"website":34,"__hash__":281},"faculty/faculty/beth-simone-noveck.json","Beth Simone Noveck","The GovLab","https://cms.thegovlab.com/assets/23551dba-8ed6-4c63-afce-87981a8ff64a","https://www.linkedin.com/in/bethnoveck/",{"slug":277},"beth-simone-noveck","/faculty/beth-simone-noveck",{},"faculty/beth-simone-noveck","6IghHemMdnBpShvpGugaH1uOth9pTQjCfhNWVrNUH4M",{"id":283,"title":284,"affiliation":285,"bio":34,"body":34,"category":87,"cohort":286,"description":34,"expertise":34,"extension":45,"headshot":34,"image":287,"legacy":46,"linkedin":288,"meta":289,"name":284,"navigation":15,"path":291,"photo":34,"role":34,"seo":292,"stem":293,"topic":294,"website":34,"__hash__":295},"faculty/faculty/brennan-lake.json","Brennan Lake","Cuebiq","DS Academy 2020-2022, DS Turin 2024, DS Milan 2026","https://cms.thegovlab.com/assets/375b46a9-d73e-45e2-8211-fc97f7a417dc","https://www.linkedin.com/in/brennanlake/",{"slug":290},"brennan-lake","/faculty/brennan-lake",{},"faculty/brennan-lake","Reviewing requests for Data Access","ljwBssJsojb96muOKRyapU0H-kdIl7GjdfBne0ucMfE",{"id":297,"title":298,"affiliation":299,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":300,"legacy":15,"linkedin":301,"meta":302,"name":304,"navigation":15,"path":305,"photo":34,"role":34,"seo":306,"stem":307,"topic":34,"website":34,"__hash__":308},"faculty/faculty/brian-m-bot.json","Brian M Bot","Cancer AI Alliance","https://cms.thegovlab.com/assets/df5213b0-d7a1-441a-a3c0-c63d733e611e","https://www.linkedin.com/in/brianmbot/",{"slug":303},"brian-m-bot","Brian M. Bot","/faculty/brian-m-bot",{},"faculty/brian-m-bot","Cgn2MyjAKYiEwiOBaaxVcCF_WmABLijcHnBfL51rY5I",{"id":310,"title":311,"affiliation":312,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":313,"legacy":15,"linkedin":314,"meta":315,"name":317,"navigation":15,"path":318,"photo":34,"role":34,"seo":319,"stem":320,"topic":34,"website":34,"__hash__":321},"faculty/faculty/brittny-jade-saunders.json","Brittny Jade Saunders","Three Views Strategies","https://cms.thegovlab.com/assets/9f20cebf-4536-486d-910b-6d23538d29c9","https://www.linkedin.com/in/brittny-jade-saunders-90145012/",{"slug":316},"brittny-jade-saunders","Brittny-Jade Saunders","/faculty/brittny-jade-saunders",{},"faculty/brittny-jade-saunders","RZlxzgWqEwaR1IkA06OVYObaF-z4skDLVjfDhhBW_io",{"id":323,"title":324,"affiliation":325,"bio":34,"body":34,"category":87,"cohort":102,"description":34,"expertise":34,"extension":45,"headshot":34,"image":326,"legacy":46,"linkedin":327,"meta":328,"name":324,"navigation":15,"path":330,"photo":34,"role":34,"seo":331,"stem":332,"topic":333,"website":34,"__hash__":334},"faculty/faculty/bruno-lepri.json","Bruno Lepri","DataPop Alliance, Bruno Kessler Foundation etc.","https://cms.thegovlab.com/assets/89512b64-f3da-4b96-a952-6c80c1f77859","https://www.linkedin.com/in/brunolepri/",{"slug":329},"bruno-lepri","/faculty/bruno-lepri",{},"faculty/bruno-lepri","The Use of Mobile Phone Data to Counter Crime in Bogota & Medellin","Ox2Zl_8PMglB9oxHDx7ZmfVMqwnmJqMRuotyG1vkqqA",{"id":336,"title":337,"affiliation":239,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":338,"legacy":15,"linkedin":339,"meta":340,"name":337,"navigation":15,"path":342,"photo":34,"role":34,"seo":343,"stem":344,"topic":34,"website":34,"__hash__":345},"faculty/faculty/carlos-ahumada.json","Carlos Ahumada","https://cms.thegovlab.com/assets/876748ee-18e2-460a-8196-0434e9d5623a","https://www.linkedin.com/in/carlos-ahumada/",{"slug":341},"carlos-ahumada","/faculty/carlos-ahumada",{},"faculty/carlos-ahumada","6Ie9waEs2Swx-3OZ3lcoQTIXm3bwlrW79p9FBby5aqE",{"id":347,"title":348,"affiliation":349,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":350,"legacy":15,"linkedin":351,"meta":352,"name":348,"navigation":15,"path":354,"photo":34,"role":34,"seo":355,"stem":356,"topic":34,"website":34,"__hash__":357},"faculty/faculty/casey-weston.json","Casey Weston","Linkedin","https://cms.thegovlab.com/assets/e0022956-a3cd-44d8-8b94-f82834158c0f","https://www.linkedin.com/in/casey-a-weston/",{"slug":353},"casey-weston","/faculty/casey-weston",{},"faculty/casey-weston","Fd1UWtMoq4pG-aiPm6uNge759slqpK8XvRraDG4R6eg",{"id":359,"title":360,"affiliation":361,"bio":34,"body":34,"category":87,"cohort":362,"description":34,"expertise":34,"extension":45,"headshot":34,"image":363,"legacy":46,"linkedin":364,"meta":365,"name":360,"navigation":15,"path":367,"photo":34,"role":34,"seo":368,"stem":369,"topic":370,"website":34,"__hash__":371},"faculty/faculty/catherine-vogel.json","Catherine Vogel","GIZ Data Lab","DS Berlin 2024","https://cms.thegovlab.com/assets/8e3a84ec-3f9f-4f19-a86b-5001940f62d3","https://www.linkedin.com/in/catherine-vogel-7912125/",{"slug":366},"catherine-vogel","/faculty/catherine-vogel",{},"faculty/catherine-vogel","Data Feminism, Data-powered positive deviance and work of GIZ Data Lab","5DNhQAKoKnwK-xgLthYzP6ecmIWgpRGTIlOszVQMC-I",{"id":373,"title":374,"affiliation":375,"bio":34,"body":34,"category":87,"cohort":376,"description":34,"expertise":34,"extension":45,"headshot":34,"image":377,"legacy":15,"linkedin":378,"meta":379,"name":381,"navigation":15,"path":382,"photo":34,"role":34,"seo":383,"stem":384,"topic":385,"website":34,"__hash__":386},"faculty/faculty/charlotte-van-ooijen-falce.json","Charlotte Van Ooijen Falce","Liip and Opendata.ch","DS Switzerland 2025","https://cms.thegovlab.com/assets/56898839-261a-4e83-8df4-69a3a03e4947","https://www.linkedin.com/in/cwvanooijen/",{"slug":380},"charlotte-van-ooijen-falce","Charlotte van Ooijen Falce","/faculty/charlotte-van-ooijen-falce",{},"faculty/charlotte-van-ooijen-falce","Metadata. 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Johns","https://cms.thegovlab.com/assets/a36a2963-d9c0-4f73-a66c-ca96ae2dad3e","https://www.linkedin.com/in/marcus-bartley-johns-57a84422/",{"slug":1036},"marcus-bartley-johns","/faculty/marcus-bartley-johns",{},"faculty/marcus-bartley-johns","6ezX8H4I7u6nV0D1iKncL_l-M-af7CYPz9NXFU1iaAk",{"id":1042,"title":1043,"affiliation":1044,"bio":34,"body":34,"category":87,"cohort":661,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1045,"legacy":46,"linkedin":1046,"meta":1047,"name":1049,"navigation":15,"path":1050,"photo":34,"role":34,"seo":1051,"stem":1052,"topic":1053,"website":34,"__hash__":1054},"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":1048},"martin-pompery","Martin Pompéry","/faculty/martin-pompery",{},"faculty/martin-pompery","Data Commons (Governance and Technical 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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":1062},"martin-stewart-weeks","Martin Stewart-Weeks","/faculty/martin-stewart-weeks",{},"faculty/martin-stewart-weeks","nuHbo3Pfrch0Q_uq8-nDe3bEo8ZnLVP1A8Psh91GOYc",{"id":1069,"title":1070,"affiliation":1071,"bio":34,"body":34,"category":87,"cohort":88,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1072,"legacy":46,"linkedin":1073,"meta":1074,"name":1076,"navigation":15,"path":1077,"photo":34,"role":34,"seo":1078,"stem":1079,"topic":1080,"website":34,"__hash__":1081},"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":1075},"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":1083,"title":1084,"affiliation":1085,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1086,"legacy":15,"linkedin":1087,"meta":1088,"name":1084,"navigation":15,"path":1090,"photo":34,"role":34,"seo":1091,"stem":1092,"topic":34,"website":34,"__hash__":1093},"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":1089},"michael-khoo","/faculty/michael-khoo",{},"faculty/michael-khoo","vRl_-AO0A8xraN5t_Y_XgR1EMzL-G9WpJKI9LRhnKSM",{"id":1095,"title":1096,"affiliation":1097,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1098,"legacy":15,"linkedin":1099,"meta":1100,"name":1102,"navigation":15,"path":1103,"photo":34,"role":34,"seo":1104,"stem":1105,"topic":34,"website":34,"__hash__":1106},"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":1101},"michael-p-canares","Michael P. Cañares","/faculty/michael-p-canares",{},"faculty/michael-p-canares","6BbSAcLd0R0TuJaYMZ_bcmUHcwp5VrQCMy2iTB6QXlU",{"id":1108,"title":1109,"affiliation":34,"bio":1110,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1111,"legacy":46,"linkedin":34,"meta":1112,"name":1109,"navigation":15,"path":1114,"photo":34,"role":1115,"seo":1116,"stem":1117,"topic":34,"website":34,"__hash__":1118},"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":1113},"michelle-winowatan","/faculty/michelle-winowatan","Research Assistant",{},"faculty/michelle-winowatan","ntoprYtYdb69qzeOoDH0OIZRyYocJVD0uWd0qtFkRIA",{"id":1120,"title":1121,"affiliation":1122,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1123,"legacy":15,"linkedin":1124,"meta":1125,"name":1121,"navigation":15,"path":1127,"photo":34,"role":34,"seo":1128,"stem":1129,"topic":34,"website":34,"__hash__":1130},"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":1126},"natalia-adler","/faculty/natalia-adler",{},"faculty/natalia-adler","x3XYVJctiWzq4vPbSnpRVYZqJf4wJGw9XvT1lhOUHyk",{"id":1132,"title":1133,"affiliation":1134,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1135,"legacy":15,"linkedin":1136,"meta":1137,"name":1133,"navigation":15,"path":1139,"photo":34,"role":34,"seo":1140,"stem":1141,"topic":34,"website":34,"__hash__":1142},"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":1138},"natalia-carfi","/faculty/natalia-carfi",{},"faculty/natalia-carfi","DWP3TEtP8jvPaTnVAcRhfUa81L0oknuD_Ov4ueMyB0s",{"id":1144,"title":1145,"affiliation":1146,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1147,"legacy":15,"linkedin":1148,"meta":1149,"name":1145,"navigation":15,"path":1151,"photo":34,"role":34,"seo":1152,"stem":1153,"topic":34,"website":34,"__hash__":1154},"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":1150},"natalia-domagala","/faculty/natalia-domagala",{},"faculty/natalia-domagala","z4UoxPAvcyt_19R6WsXAwqQ8KG3FlKWI1Df9ceQ2OAk",{"id":1156,"title":1157,"affiliation":34,"bio":34,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":34,"legacy":46,"linkedin":34,"meta":1158,"name":1160,"navigation":15,"path":1161,"photo":34,"role":34,"seo":1162,"stem":1163,"topic":34,"website":34,"__hash__":1164},"faculty/faculty/natalia-gonzalez-alarcon.json","Natalia Gonzalez Alarcon",{"slug":1159},"natalia-gonzalez-alarcon","Natalia González Alarcón","/faculty/natalia-gonzalez-alarcon",{},"faculty/natalia-gonzalez-alarcon","5_O4v0eHO9xJcxtyU5BUk1_2r3V-ybOjkdqGq_DXddQ",{"id":1166,"title":1167,"affiliation":1168,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1169,"legacy":15,"linkedin":1170,"meta":1171,"name":1167,"navigation":15,"path":1173,"photo":34,"role":34,"seo":1174,"stem":1175,"topic":34,"website":34,"__hash__":1176},"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":1172},"nick-hart","/faculty/nick-hart",{},"faculty/nick-hart","nr_yHL5OvAPmgt58TYw04NVjf19AvCLixDQ-ZMwuRko",{"id":1178,"title":1179,"affiliation":1180,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1181,"legacy":15,"linkedin":1182,"meta":1183,"name":1179,"navigation":15,"path":1185,"photo":34,"role":34,"seo":1186,"stem":1187,"topic":34,"website":34,"__hash__":1188},"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":1184},"nicolas-schifano","/faculty/nicolas-schifano",{},"faculty/nicolas-schifano","4rKkBJGscyHEf8wdKvX5iTd--IdVRMqrSf7EtvF_M6g",{"id":1190,"title":1191,"affiliation":1192,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1193,"legacy":15,"linkedin":1194,"meta":1195,"name":1191,"navigation":15,"path":1197,"photo":34,"role":34,"seo":1198,"stem":1199,"topic":34,"website":34,"__hash__":1200},"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":1196},"nigel-jacob","/faculty/nigel-jacob",{},"faculty/nigel-jacob","2p7Bz3gycQDE6ffGBxPzAkMwBrWHVA5ZrOR6huMWsIs",{"id":1202,"title":1203,"affiliation":1204,"bio":34,"body":34,"category":87,"cohort":376,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1205,"legacy":46,"linkedin":1206,"meta":1207,"name":1203,"navigation":15,"path":1209,"photo":34,"role":34,"seo":1210,"stem":1211,"topic":1212,"website":34,"__hash__":1213},"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":1208},"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":1215,"title":1216,"affiliation":1217,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1218,"legacy":15,"linkedin":1219,"meta":1220,"name":1216,"navigation":15,"path":1222,"photo":34,"role":34,"seo":1223,"stem":1224,"topic":34,"website":34,"__hash__":1225},"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":1221},"paul-ko","/faculty/paul-ko",{},"faculty/paul-ko","xQQ0r2in4ZYZPu4O9cD4VvGB4veSoNYrx0eo5AZTaCk",{"id":1227,"title":1228,"affiliation":34,"bio":1229,"body":34,"category":73,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1230,"legacy":46,"linkedin":1231,"meta":1232,"name":1228,"navigation":15,"path":1234,"photo":34,"role":184,"seo":1235,"stem":1236,"topic":34,"website":34,"__hash__":1237},"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":1233},"paulina-behluli","/faculty/paulina-behluli",{},"faculty/paulina-behluli","KzMq7h-4JXW4j4bYqqTkIXwnl5QhtGb3qLT3UDEYy8Q",{"id":1239,"title":1240,"affiliation":1241,"bio":34,"body":34,"category":87,"cohort":1242,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1243,"legacy":46,"linkedin":1244,"meta":1245,"name":1247,"navigation":15,"path":1248,"photo":34,"role":34,"seo":1249,"stem":1250,"topic":1251,"website":34,"__hash__":1252},"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":1246},"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":1254,"title":1255,"affiliation":1256,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1257,"legacy":15,"linkedin":1258,"meta":1259,"name":1255,"navigation":15,"path":1261,"photo":34,"role":34,"seo":1262,"stem":1263,"topic":34,"website":34,"__hash__":1264},"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":1260},"peter-lovelock","/faculty/peter-lovelock",{},"faculty/peter-lovelock","T-0rMxQjEpVL0gBDJT3nu7rEeXXiZmVcF30aB_OECzk",{"id":1266,"title":1267,"affiliation":1268,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1269,"legacy":15,"linkedin":1270,"meta":1271,"name":1267,"navigation":15,"path":1273,"photo":34,"role":34,"seo":1274,"stem":1275,"topic":34,"website":34,"__hash__":1276},"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":1272},"peter-rabley","/faculty/peter-rabley",{},"faculty/peter-rabley","DJ0hn_3mdyNHFgwu8wiVLPcziiRfljHClrWpRzW-3J4",{"id":1278,"title":1279,"affiliation":1280,"bio":34,"body":34,"category":87,"cohort":376,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1281,"legacy":46,"linkedin":1282,"meta":1283,"name":1285,"navigation":15,"path":1286,"photo":34,"role":34,"seo":1287,"stem":1288,"topic":1289,"website":34,"__hash__":1290},"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":1284},"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":1292,"title":1293,"affiliation":1294,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1295,"legacy":15,"linkedin":1296,"meta":1297,"name":1293,"navigation":15,"path":1299,"photo":34,"role":34,"seo":1300,"stem":1301,"topic":34,"website":34,"__hash__":1302},"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":1298},"pieter-de-leenheer","/faculty/pieter-de-leenheer",{},"faculty/pieter-de-leenheer","nAiKM_c4vT7YgMB6xtyozZ0sSP1dSe2FBYyadFwzBYI",{"id":1304,"title":1305,"affiliation":1306,"bio":34,"body":34,"category":87,"cohort":362,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1307,"legacy":46,"linkedin":1308,"meta":1309,"name":1311,"navigation":15,"path":1312,"photo":34,"role":34,"seo":1313,"stem":1314,"topic":1315,"website":34,"__hash__":1316},"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":1310},"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":1318,"title":1319,"affiliation":1320,"bio":34,"body":34,"category":87,"cohort":362,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1321,"legacy":46,"linkedin":1322,"meta":1323,"name":1325,"navigation":15,"path":1326,"photo":34,"role":34,"seo":1327,"stem":1328,"topic":1329,"website":34,"__hash__":1330},"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":1324},"prof-ingmar-weber","Prof. Ingmar Weber","/faculty/prof-ingmar-weber",{},"faculty/prof-ingmar-weber","Computing for Society/Social Good","ePpzAhfnIE9mCjxcBmbJGDxpIVRb0-hToWFYEWasY5s",{"id":1332,"title":1333,"affiliation":34,"bio":1334,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1335,"legacy":46,"linkedin":1336,"meta":1337,"name":1339,"navigation":15,"path":1340,"photo":34,"role":34,"seo":1341,"stem":1342,"topic":34,"website":34,"__hash__":1343},"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":1338},"professor-brian-head-fassa","Professor Brian Head FASSA","/faculty/professor-brian-head-fassa",{},"faculty/professor-brian-head-fassa","ISkmG6eQk4OVvOmFtV0GLkG0lVzQklOWBOHA0Rio7h8",{"id":1345,"title":1346,"affiliation":34,"bio":1347,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1348,"legacy":46,"linkedin":1349,"meta":1350,"name":1352,"navigation":15,"path":1353,"photo":34,"role":34,"seo":1354,"stem":1355,"topic":34,"website":34,"__hash__":1356},"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":1351},"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":1358,"title":1359,"affiliation":1360,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1361,"legacy":15,"linkedin":1362,"meta":1363,"name":1359,"navigation":15,"path":1365,"photo":34,"role":34,"seo":1366,"stem":1367,"topic":34,"website":34,"__hash__":1368},"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":1364},"rachel-wells","/faculty/rachel-wells",{},"faculty/rachel-wells","Zd9QUrN8U6ZrsSjhy-DLWFIY0ZYcw7MdP2uG5IdoZDs",{"id":1370,"title":1371,"affiliation":1372,"bio":34,"body":34,"category":87,"cohort":362,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1373,"legacy":46,"linkedin":1374,"meta":1375,"name":1371,"navigation":15,"path":1377,"photo":34,"role":34,"seo":1378,"stem":1379,"topic":1380,"website":34,"__hash__":1381},"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":1376},"ramy-hcini","/faculty/ramy-hcini",{},"faculty/ramy-hcini","Data Spaces in the context of matching demand and supply and security","-rWrvlNEWCn3XBHQmb9CWYvT0ahjPATj9z7NS8LhpXg",{"id":1383,"title":1384,"affiliation":1385,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1386,"legacy":15,"linkedin":1387,"meta":1388,"name":1384,"navigation":15,"path":1390,"photo":34,"role":34,"seo":1391,"stem":1392,"topic":34,"website":34,"__hash__":1393},"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":1389},"richard-benjamins","/faculty/richard-benjamins",{},"faculty/richard-benjamins","qVN1VHgFK92frM8UkhDTLNHl1e7fKik9zKgXft5EHhY",{"id":1395,"title":1396,"affiliation":34,"bio":1397,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1398,"legacy":46,"linkedin":34,"meta":1399,"name":1396,"navigation":15,"path":1401,"photo":34,"role":1402,"seo":1403,"stem":1404,"topic":34,"website":34,"__hash__":1405},"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":1400},"roshni-singh","/faculty/roshni-singh","Researcher",{},"faculty/roshni-singh","kUaO0OcbTVbPEwRHOjfHOS7QHtVgeVjEWIuGL18ywrM",{"id":1407,"title":1408,"affiliation":1409,"bio":34,"body":34,"category":87,"cohort":376,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1410,"legacy":46,"linkedin":34,"meta":1411,"name":1408,"navigation":15,"path":1413,"photo":34,"role":34,"seo":1414,"stem":1415,"topic":1416,"website":34,"__hash__":1417},"faculty/faculty/ross-purves.json","Ross Purves","University of Zürich","https://cms.thegovlab.com/assets/760a7335-c0af-4597-9f96-96e39bae928d",{"slug":1412},"ross-purves","/faculty/ross-purves",{},"faculty/ross-purves","Teaching with and about (Open)(Government) data","y1f3pdZUzV6y2h-35-8fSldW2Z6ct7TajTj1ikGqh8c",{"id":1419,"title":1420,"affiliation":1421,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1422,"legacy":15,"linkedin":1423,"meta":1424,"name":1420,"navigation":15,"path":1426,"photo":34,"role":34,"seo":1427,"stem":1428,"topic":34,"website":34,"__hash__":1429},"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":1425},"rudi-borrmann","/faculty/rudi-borrmann",{},"faculty/rudi-borrmann","S95VUc9mtByKc1NUVAzZHo4KBPBdauoJdxLVaVn6Mbw",{"id":1431,"title":1432,"affiliation":1433,"bio":34,"body":34,"category":87,"cohort":376,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1434,"legacy":46,"linkedin":1435,"meta":1436,"name":1432,"navigation":15,"path":1438,"photo":34,"role":34,"seo":1439,"stem":1440,"topic":1441,"website":34,"__hash__":1442},"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":1437},"sachit-mahajan","/faculty/sachit-mahajan",{},"faculty/sachit-mahajan","Designing Routing as Civic Infrastructure: Open, Interoperable, Reusable","h2TFPUORfSpJrqXTOYHtmXLzbLYs7bNnHgPb79YXW6g",{"id":1444,"title":1445,"affiliation":34,"bio":1446,"body":34,"category":60,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1447,"legacy":46,"linkedin":34,"meta":1448,"name":1445,"navigation":15,"path":1450,"photo":34,"role":1451,"seo":1452,"stem":1453,"topic":34,"website":34,"__hash__":1454},"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":1449},"sampriti-saxena","/faculty/sampriti-saxena","Research Intern",{},"faculty/sampriti-saxena","1lFtbfZZp9b1-kPQmsAfiyWL97jl9yyGknrizGeyyQQ",{"id":1456,"title":1457,"affiliation":1458,"bio":34,"body":34,"category":87,"cohort":376,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1459,"legacy":46,"linkedin":1460,"meta":1461,"name":1457,"navigation":15,"path":1463,"photo":34,"role":34,"seo":1464,"stem":1465,"topic":1466,"website":34,"__hash__":1467},"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":1462},"sebastian-sigloch","/faculty/sebastian-sigloch",{},"faculty/sebastian-sigloch","Switch Data","0kYV6nwaqMpwvxd2A511FYmQqP7CvEYqhjs2h4ZyaTA",{"id":1469,"title":1470,"affiliation":822,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1471,"legacy":15,"linkedin":1472,"meta":1473,"name":1470,"navigation":15,"path":1475,"photo":34,"role":34,"seo":1476,"stem":1477,"topic":34,"website":34,"__hash__":1478},"faculty/faculty/shanna-crumley.json","Shanna Crumley","https://cms.thegovlab.com/assets/bfe62fac-d24c-4f90-9698-f67638348b00","https://www.linkedin.com/in/shannacrumley/",{"slug":1474},"shanna-crumley","/faculty/shanna-crumley",{},"faculty/shanna-crumley","iXUsWMnMY6mPvKHDLhgAZyhxocsHbNxH-_5w1E3Ffww",{"id":1480,"title":1481,"affiliation":822,"bio":34,"body":34,"category":87,"cohort":116,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1482,"legacy":15,"linkedin":1483,"meta":1484,"name":1481,"navigation":15,"path":1486,"photo":34,"role":34,"seo":1487,"stem":1488,"topic":34,"website":34,"__hash__":1489},"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":1485},"smita-jain","/faculty/smita-jain",{},"faculty/smita-jain","g6qNp1x4R9a3MCXfGu-OOgoj8Dze1jUxqKdMuaw29M4",{"id":1491,"title":41,"affiliation":1492,"bio":1493,"body":34,"category":73,"cohort":34,"description":34,"expertise":34,"extension":45,"headshot":34,"image":1494,"legacy":46,"linkedin":1495,"meta":1496,"name":41,"navigation":15,"path":1498,"photo":34,"role":1499,"seo":1500,"stem":1501,"topic":34,"website":34,"__hash__":1502},"faculty/faculty/stefaan-verhulst.json","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":87,"cohort":376,"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":87,"cohort":116,"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":87,"cohort":116,"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":87,"cohort":116,"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":60,"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":1115,"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":87,"cohort":116,"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":1372,"bio":34,"body":34,"category":87,"cohort":362,"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":1380,"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":87,"cohort":661,"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",1782853841706]