[{"data":1,"prerenderedAt":1604},["ShallowReactive",2],{"page-config-/news/what-open-data-stewards-can-learn-from-corporate-guidance-on-ai-ready-data":3,"news-post-what-open-data-stewards-can-learn-from-corporate-guidance-on-ai-ready-data":38,"all-faculty-news-detail":60},{"id":4,"title":5,"body":6,"description":10,"extension":13,"hero":14,"meta":32,"navigation":15,"path":33,"sections":34,"seo":35,"stem":36,"__hash__":37},"pages/pages/news.md","News",{"type":7,"value":8,"toc":9},"minimark",[],{"title":10,"searchDepth":11,"depth":11,"links":12},"",2,[],"md",{"showHero":15,"title":16,"badge":17,"description":18,"image":19,"imageCredit":20,"backgroundImage":21,"links":22},true,"Recent News & Updates","Latest Posts","Stay updated with the latest news, events, interviews, and videos from our community.","/images/news.webp","Sebastian Pfütze","/images/news-hero-bg.png",[23,28],{"label":24,"to":25,"target":26,"type":27},"Subscribe","https://mailchi.mp/4337f0e3e319/9262kjy9ck","_blank","primary",{"label":29,"to":30,"type":31},"Contact Us","/contact","secondary",{},"/pages/news",null,{"description":10},"pages/news","ATWPyIzBfpLDxYvll1Bbm4TfPyhAWlstJxCQJDVTKxs",{"id":39,"title":40,"author":41,"authorAvatar":34,"authors":42,"body":34,"category":43,"date":44,"description":45,"duration":34,"endTime":34,"extendedContent":34,"extension":46,"featured":47,"heading":40,"image":48,"location":34,"locationType":34,"mainContent":49,"meta":50,"navigation":15,"path":51,"registrationLink":34,"seo":52,"slug":53,"startTime":34,"stem":54,"tags":55,"videoUrl":34,"__hash__":59},"blogposts/blogposts/what-open-data-stewards-can-learn-from-corporate-guidance-on-ai-ready-data.json","What Open Data Stewards Can Learn from Corporate Guidance on AI-Ready Data","Stefaan Verhulst",[],"blog","2026-07-28T11:34:00","Our premise is not that public-interest data work should become more corporate. It is, rather, that firms have been contending for some time with the mechanics of AI-ready data (at scale, under audit, and with material consequences for failure) and that the open data movement stands to learn from at least some of these experiences. ","json",false,"https://cms.thegovlab.com/assets/3390a18c-0c74-42b1-a237-350cc254404f","\u003Ch1 id=\"64f0\" class=\"pw-post-title hm hn ho z hp hq hr hs ht hu hv hw hx hy hz ia ib ic id ie if ig ih ii ij ik il im in io cv\" data-testid=\"storyTitle\" data-selectable-paragraph=\"\">\u003Cstrong class=\"cb\">What Open Data Stewards Can Learn from Corporate Guidance on AI-Ready Data\u003C/strong>\u003C/h1>\n\u003Cp id=\"7a6d\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">For two decades, the open data community has worked to articulate what it means to make data fit for use, converging on the now-canonical \u003Ca class=\"bx op\" href=\"https://www.go-fair.org/fair-principles/\" target=\"_blank\" rel=\"noopener ugc nofollow\">FAIR principles: Findable, Accessible, Interoperable, and Reusable\u003C/a>. As we argue in \u003Ca class=\"bx op\" href=\"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5164337.\" target=\"_blank\" rel=\"noopener ugc nofollow\">\u003Cem class=\"oq\">Moving Toward the FAIR-R Principles\u003C/em>\u003C/a>\u003Cem class=\"oq\">,\u003C/em> this framework, though foundational, is no longer sufficient in an era of artificial intelligence. It must be extended to include a fifth commitment: Ready for AI.\u003C/p>\n\u003Cp id=\"b70a\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">The conversation over data readiness for the AI age is not confined to the public-interest domain. Parallel discussions have unfolded in the corporate sector, where the imperatives of AI readiness have been confronted at scale, and it is worth asking what the open data movement might learn from them.\u003C/p>\n\u003Cp id=\"81cb\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">McKinsey’s recent article, \u003Ca class=\"bx op\" href=\"https://www.mckinsey.com/capabilities/mckinsey-technology/our-insights/ai-data-readiness-the-key-to-scaling-impact#/\" target=\"_blank\" rel=\"noopener ugc nofollow\">\u003Cem class=\"oq\">AI Data Readiness: The Key to Scaling Impact,\u003C/em>\u003C/a> is instructive in this regard. On its surface, the article reads as a memo to chief data officers diagnosing why corporate AI pilots so often stall before reaching production. It also offers some valuable lessons and principles for data stewards operating in the public interest, and who may be considering how to apply FAIR-R principles in practice.\u003C/p>\n\u003Cp id=\"fa83\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">In what follows, we treat this private-sector-focused article as a source of transferable knowledge while still remaining attentive to its limits. The caveat about limits is consequential, and we return to it below: in general, while enterprises optimize primarily for reliable outputs and cost avoidance, public-interest stewardship must also account for equity, openness, and public accountability. Some lessons therefore transfer cleanly, while others may require translation (or simply not apply at all).\u003C/p>\n\u003Cp id=\"ecb4\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">To be clear, our premise is \u003Cem class=\"oq\">not\u003C/em> that public-interest data work should become more corporate. It is, rather, that firms have been contending for some time with the mechanics of AI-ready data (at scale, under audit, and with material consequences for failure) and that the open data movement stands to learn from at least some of these experiences. While this piece focuses on a specific article from McKinsey, many of these observations are more generalizable to the private sector and the way it is engaging with data more broadly.\u003C/p>\n\u003Ch2 id=\"0f8f\" class=\"or os ho z ot ou ov ow ox oy oz pa pb pc pd pe pf pg ph pi pj pk pl pm pn po cv\" data-selectable-paragraph=\"\">\u003Cstrong class=\"cb\">Six lessons worth borrowing\u003C/strong>\u003C/h2>\n\u003Cp id=\"8bb9\" class=\"pw-post-body-paragraph mz na ho nb b nc pp ne nf ng pq ni nj nk pr nm nn no ps nq nr ns pt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nb hp\">1. Govern the fragment, not only the file, because AI dissolves the dataset.\u003C/strong>\u003C/p>\n\u003Cp id=\"56b1\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">This is perhaps the single most valuable idea to import. FAIR-R, like the FAIR tradition it extends, largely treats the dataset as the object that needs to be made ready. McKinsey’s article, on the other hand, observes that the dataset is no longer the operative unit within an AI pipeline. A single PDF or data set fragments into extracted text, parsed tables, image summaries, chunks, embeddings, and index entries, each a derived artifact capable of independently shaping an output. A document may be wholly accurate in its entirety yet yield an erroneous answer when an outdated or incomplete fragment is retrieved in isolation.\u003C/p>\n\u003Cp id=\"3ae6\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">The implication for open data stewards is significant: provenance, sensitivity labels, and usage rules applied at the level of the dataset no longer survive the ingestion into an AI system. It therefore implies that every chunk carries its lineage, not merely every file.\u003C/p>\n\u003Cp id=\"c0eb\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nb hp\">2. Define “good enough” for each use case, and treat quality as a continuous process.\u003C/strong>\u003C/p>\n\u003Cp id=\"41a0\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">The article emphasizes that companies have learned to resist the instinct to perfect data before deployment. McKinsey’s framing calibrates quality to the use case and its attendant risk profile: the governance appropriate to an internal drafting tool differs markedly from that required for a regulated decision, where full lineage and auditability become essential (see illustration below).\u003C/p>\n\u003Cp id=\"dfbc\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">For open data stewards, this reframing is methodologically valuable, in that it replaces the untenable mandate of universal data quality with a defensible, risk-tiered standard (while still countering the emerging assumption that data quality is of diminished importance in AI environments). The corollary is that quality assurance shifts from a one-time gate applied at publication to a continuous discipline exercised across extraction, retrieval, and generation.\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cimg src=\"https://cms.thegovlab.com/assets/cc0071a4-092c-49c1-a3b2-dc7548c3170f.webp?width=640&height=526\" alt=\"Companies can define what \">\u003C/p>\n\u003Cp class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">From McKinsey Article: \u003Ca class=\"bx op\" href=\"https://www.mckinsey.com/capabilities/mckinsey-technology/our-insights/ai-data-readiness-the-key-to-scaling-impact#/\" target=\"_blank\" rel=\"noopener ugc nofollow\">AI data readiness: The key to scaling impact June 23, 2026\u003C/a>\u003C/p>\n\u003Cp id=\"6545\" class=\"pw-post-body-paragraph mz na ho nb b nc ne nf ng ni nj nk nm nn no nq nr ns nu nv vm nw hh cv\" data-selectable-paragraph=\"\">In most cases, McKinsey’s metric of success is financial. For example, the report documents how, in the absence of shared infrastructure, teams often rebuild their own extraction logic and retrieval configurations, producing inconsistent outputs and duplicating cost. By contrast, McKinsey shows how a financial services firm converted reusable pipelines into an estimated $10–20 million in cost savings as use cases multiplied.\u003C/p>\n\u003Cp id=\"a9c5\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">Translated into the open data ecosystem, this mechanism for cost savings is more than simply an argument for reusable infrastructure; it is an argument for reuse as an organizing principle, and it resonates with a commitment the open data world already holds, for example, in its championing of the \u003Ca class=\"bx op\" href=\"https://newcommons.ai/docs/data-commons-faq.pdf\" target=\"_blank\" rel=\"noopener ugc nofollow\">data commons\u003C/a>. The commons is not simply a shared asset to be drawn upon; appropriately designed, it can be a governed arrangement built deliberately to enable equitable, accountable reuse across many actors and purposes. While FAIR-R frames the commons primarily as a mechanism for equity, the corporate evidence demonstrates that the same architecture can also yield efficiency. For under-resourced public institutions, this dual justification is strategically consequential: shared, governed pipelines are both fairer and less costly, an argument that carries particular weight with those who control budgets.\u003C/p>\n\u003Cp id=\"e368\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nb hp\">4. Make traceability infrastructure.\u003C/strong>\u003C/p>\n\u003Cp id=\"16dd\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">When a single answer stitches together fragments from many documents, the ability to explain where the answer came from (i.e., the output of an AI system) collapses. McKinsey calls the result “indefensible” outputs, which are problematic in regulatory audits or legal discovery.\u003C/p>\n\u003Cp id=\"66ab\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">Public-interest deployments face an even sharper version of this problem: humanitarian, health, and civic uses require accountability to \u003Ca class=\"bx op\" href=\"https://www.afd.fr/en/ressources/reimagining-data-governance-ai\" target=\"_blank\" rel=\"noopener ugc nofollow\">the people the data describes\u003C/a>. According to McKinsey, corporations treat lineage as an essential characteristic with owners, versions, and retirement dates. Open data stewards should borrow that seriousness. A traceable chain of custody from source through every derived artifact to the final output is the deliverable, not a nice-to-have appended to it.\u003C/p>\n\u003Cp id=\"f214\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nb hp\">5. Expect the data steward’s role to broaden\u003C/strong>.\u003C/p>\n\u003Cp id=\"994c\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">McKinsey describes an expanding mandate for chief data officers, from owning pipelines and warehouses to owning the standards and conditions. The article is explicit that this is a shift in kind rather than degree: the CDO becomes responsible not for the data alone but for the conditions under which data can be reused, traced, and governed consistently across the enterprise; linking structured and unstructured content, anchoring both to shared business entities, and ensuring that the tools and skills AI systems rely on behave predictably. As that mandate widens, McKinsey notes, the surrounding roles begin to blend, with data, engineering, product, and governance functions converging and organizations obliged to cultivate multifaceted skill sets rather than treating these as separate domains.\u003C/p>\n\u003Cp id=\"6640\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">Our work on FAIR-R implies the same trajectory for public-interest data stewards. The lesson is to anticipate the shift deliberately: \u003Ca class=\"bx op\" href=\"https://arxiv.org/abs/2601.06687\" target=\"_blank\" rel=\"noopener ugc nofollow\">the data steward\u003C/a> of the near future architects the conditions for systematic, sustainable, and responsible reuse rather than curating static holdings.\u003C/p>\n\u003Cp id=\"638d\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cstrong class=\"nb hp\">6. Extend readiness to unstructured and machine-generated data.\u003C/strong>\u003C/p>\n\u003Cp id=\"05e3\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">The FAIR tradition developed around structured, discrete datasets, yet the McKinsey report locates the AI-readiness problem primarily in \u003Ca class=\"bx op\" href=\"https://blog.thegovlab.org/why-responsible-data-access-will-determine-the-future-of-ai-the-increased-importance-of-data-commons\" target=\"_blank\" rel=\"noopener ugc nofollow\">unstructured content\u003C/a> (documents, emails, transcripts, images, and video), which now drives a growing share of consequential decisions and which does not “stay whole” as it passes through extraction, chunking, and embedding. McKinsey also observes that AI systems do not merely consume data but generate it continuously: prompts, responses, summaries, and decisions accumulate and frequently flow back into core systems, where they seed further outputs and create feedback loops over time.\u003C/p>\n\u003Cp id=\"6757\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">For open data stewards, this reality carries two implications. First, readiness cannot be confined to the tidy, tabular holdings the FAIR principles were first designed around; the harder and more valuable work increasingly concerns unstructured sources, whose provenance and sensitivity are far less legible. Second, the movement must begin to reckon with synthetic and machine-generated data as objects of stewardship in their own right (\u003Ca class=\"bx op\" href=\"https://sverhulst.medium.com/from-fair-to-fair-r-and-fair%C2%B2-making-data-ai-ready-5b25ff05324b\" rel=\"noopener\" data-discover=\"true\">a matter we raised earlier),\u003C/a> since data produced by AI systems can propagate error, especially if reused without lineage or quality controls. Readiness, in other words, is not a property to be established once at publication but a discipline that must follow data through its generation as well as its consumption.\u003C/p>\n\u003Ch2 id=\"f3be\" class=\"or os ho z ot ou ov ow ox oy oz pa pb pc pd pe pf pg ph pi pj pk pl pm pn po cv\" data-selectable-paragraph=\"\">\u003Cstrong class=\"cb\">What not to borrow\u003C/strong>\u003C/h2>\n\u003Cp id=\"4250\" class=\"pw-post-body-paragraph mz na ho nb b nc pp ne nf ng pq ni nj nk pr nm nn no ps nq nr ns pt nu nv nw hh cv\" data-selectable-paragraph=\"\">Borrowing is not copying. As we stated at the outset, we are interested in translation rather than repetition. Two differences in particular are important to highlight.\u003C/p>\n\u003Cp id=\"d3ed\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">First, corporations govern risk to protect the institution: its outputs, its liability, its costs. Public-interest stewardship also governs risk, but to protect data subjects and the public. Our FAIR-R framework is more pronounced on this, insisting, for instance, that data be evaluated for bias and that a dataset that cannot be de-biased simply should not be used. McKinsey’s risk framing, managing exposure after AI accesses data, and applying human oversight proportional to business risk supply excellent mechanics, but the threshold for what counts as unacceptable risk must be set by public-interest values, not solely for-profit business ones.\u003C/p>\n\u003Cp id=\"72cc\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">Second, the corporate default is enclosure: governed and controlled, with data treated as a proprietary asset. The open data default, by contrast, is responsible openness. The reusable-foundation lesson is sound, but data stewards must resist letting “governed” quietly become fully “closed.” The goal is governed openness: commons that are equitable and accountable and that guard against extraction.\u003C/p>\n\u003Cp id=\"7144\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cem class=\"oq\">To conclude, McKinsey’s report can be of value to the open data world not as a mirror but as a field report from those who are rapidly experimenting with what AI-readiness means. Its transferable lessons provide valuable frontline experience for our FAIR-R framework and perhaps add some cautionary lessons as well.\u003C/em>\u003C/p>\n\u003Cp id=\"7eec\" class=\"pw-post-body-paragraph mz na ho nb b nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu nv nw hh cv\" data-selectable-paragraph=\"\">\u003Cem class=\"oq\">Thanks to Adam Zable and Akash Kapur for editorial review.\u003C/em>\u003C/p>",{},"/blogposts/what-open-data-stewards-can-learn-from-corporate-guidance-on-ai-ready-data",{"title":40,"description":45},"what-open-data-stewards-can-learn-from-corporate-guidance-on-ai-ready-data","blogposts/what-open-data-stewards-can-learn-from-corporate-guidance-on-ai-ready-data",[56,57,58],"AI","Data","Data Stewardship","zY_2Y3NV8b6AZDTqjRMXsCw9lZjTjJU83HSEb3quiik",[61,74,88,103,117,130,142,154,167,179,193,205,217,229,241,253,265,275,287,301,314,327,340,351,363,377,392,405,418,431,444,457,466,479,491,503,516,529,541,553,565,577,590,603,615,627,640,651,662,676,689,703,714,727,738,751,763,775,787,800,812,824,838,851,864,876,888,900,912,924,936,948,960,973,985,997,1011,1023,1035,1046,1060,1073,1087,1099,1112,1124,1136,1148,1160,1170,1182,1194,1206,1219,1231,1243,1258,1270,1282,1296,1308,1322,1336,1349,1362,1374,1387,1399,1411,1423,1435,1448,1460,1473,1484,1495,1508,1521,1533,1545,1557,1568,1580,1591],{"id":62,"title":63,"affiliation":34,"bio":64,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":66,"legacy":47,"linkedin":34,"meta":67,"name":63,"navigation":15,"path":69,"photo":34,"role":70,"seo":71,"stem":72,"topic":34,"website":34,"__hash__":73},"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":68},"adam-zable","/faculty/adam-zable","Research Fellow",{},"faculty/adam-zable","5bR3wydz1eXMWjD7PSD8j4im9GZM7_x4k8iz5TN85Dw",{"id":75,"title":76,"affiliation":34,"bio":77,"body":34,"category":78,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":79,"legacy":15,"linkedin":80,"meta":81,"name":76,"navigation":15,"path":83,"photo":34,"role":84,"seo":85,"stem":86,"topic":34,"website":34,"__hash__":87},"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":82},"adrienne-schmoeker","/faculty/adrienne-schmoeker","Course Advisor",{},"faculty/adrienne-schmoeker","z_7IPuXoKOHDOgpFTsSqBY_T1QYYDk0kAWowjYGC3ow",{"id":89,"title":90,"affiliation":91,"bio":34,"body":34,"category":92,"cohort":93,"description":34,"expertise":34,"extension":46,"headshot":34,"image":94,"legacy":47,"linkedin":95,"meta":96,"name":90,"navigation":15,"path":98,"photo":34,"role":34,"seo":99,"stem":100,"topic":101,"website":34,"__hash__":102},"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":97},"alex-hutchison","/faculty/alex-hutchison",{},"faculty/alex-hutchison","Impact Measurement & Work of Data for Children Collaborative","Q6zJ9wxOc_kYKt4uhkMYd9u3Ptug0EKTJWUmU75-NX4",{"id":104,"title":105,"affiliation":106,"bio":34,"body":34,"category":92,"cohort":107,"description":34,"expertise":34,"extension":46,"headshot":34,"image":108,"legacy":15,"linkedin":109,"meta":110,"name":105,"navigation":15,"path":112,"photo":34,"role":34,"seo":113,"stem":114,"topic":115,"website":34,"__hash__":116},"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":111},"alex-pompe","/faculty/alex-pompe",{},"faculty/alex-pompe","Data powered collaborations for social good & Meta's Data for Good Work","NxXESqPg21h7BH-7afZnYJ00dZxFvjnMPJZFkxAyNPY",{"id":118,"title":119,"affiliation":120,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":122,"legacy":15,"linkedin":123,"meta":124,"name":119,"navigation":15,"path":126,"photo":34,"role":34,"seo":127,"stem":128,"topic":34,"website":34,"__hash__":129},"faculty/faculty/alison-paprica.json","Alison Paprica","University of Toronto","DS Academy 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Who cares?","mbfnk738rb3g7JoPDcn3BQZXJ1OErQB87LWxLvQZ_bY",{"id":393,"title":394,"affiliation":395,"bio":34,"body":34,"category":92,"cohort":381,"description":34,"expertise":34,"extension":46,"headshot":34,"image":396,"legacy":47,"linkedin":397,"meta":398,"name":394,"navigation":15,"path":400,"photo":34,"role":34,"seo":401,"stem":402,"topic":403,"website":34,"__hash__":404},"faculty/faculty/christian-gutknecht.json","Christian Gutknecht","Opendata.ch","https://cms.thegovlab.com/assets/c40cc61f-b6f6-4df5-8a31-031aaf7c2d6c","https://www.linkedin.com/in/christiangutknecht/",{"slug":399},"christian-gutknecht","/faculty/christian-gutknecht",{},"faculty/christian-gutknecht","Open parliamentary data for more transparency, innovation and 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America","https://cms.thegovlab.com/assets/b5553bc1-fcf2-4012-b359-3e6d08b95202","https://www.linkedin.com/in/lcoral/",{"slug":980},"lilian-coral","/faculty/lilian-coral",{},"faculty/lilian-coral","PFVGbRvqYy1KzELxWJoua5jrbJnMNUzlngzC92NPKF4",{"id":986,"title":987,"affiliation":988,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":989,"legacy":15,"linkedin":990,"meta":991,"name":987,"navigation":15,"path":993,"photo":34,"role":34,"seo":994,"stem":995,"topic":34,"website":34,"__hash__":996},"faculty/faculty/lisa-moretti.json","Lisa Moretti","Freelance, Digital 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Innovation","https://cms.thegovlab.com/assets/453663e1-2ae9-4767-b18d-40c689edd62f","https://www.linkedin.com/in/lynn-overmann-325bb432/",{"slug":1018},"lynn-overmann","/faculty/lynn-overmann",{},"faculty/lynn-overmann","T_4VBcHNBpT91i3OLMPlturz60ufyjOayd4Wu5Y0s5E",{"id":1024,"title":1025,"affiliation":1026,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1027,"legacy":15,"linkedin":1028,"meta":1029,"name":1025,"navigation":15,"path":1031,"photo":34,"role":34,"seo":1032,"stem":1033,"topic":34,"website":34,"__hash__":1034},"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":1030},"marc-lepage","/faculty/marc-lepage",{},"faculty/marc-lepage","JCDw1BHIBhdOfzo1coSP7TDfQgIgSwdNw8P2txPefxY",{"id":1036,"title":1037,"affiliation":580,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1038,"legacy":15,"linkedin":1039,"meta":1040,"name":1037,"navigation":15,"path":1042,"photo":34,"role":34,"seo":1043,"stem":1044,"topic":34,"website":34,"__hash__":1045},"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":1041},"marcus-bartley-johns","/faculty/marcus-bartley-johns",{},"faculty/marcus-bartley-johns","6ezX8H4I7u6nV0D1iKncL_l-M-af7CYPz9NXFU1iaAk",{"id":1047,"title":1048,"affiliation":1049,"bio":34,"body":34,"category":92,"cohort":666,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1050,"legacy":47,"linkedin":1051,"meta":1052,"name":1054,"navigation":15,"path":1055,"photo":34,"role":34,"seo":1056,"stem":1057,"topic":1058,"website":34,"__hash__":1059},"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":1053},"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":1067},"martin-stewart-weeks","Martin Stewart-Weeks","/faculty/martin-stewart-weeks",{},"faculty/martin-stewart-weeks","nuHbo3Pfrch0Q_uq8-nDe3bEo8ZnLVP1A8Psh91GOYc",{"id":1074,"title":1075,"affiliation":1076,"bio":34,"body":34,"category":92,"cohort":93,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1077,"legacy":47,"linkedin":1078,"meta":1079,"name":1081,"navigation":15,"path":1082,"photo":34,"role":34,"seo":1083,"stem":1084,"topic":1085,"website":34,"__hash__":1086},"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":1080},"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":1088,"title":1089,"affiliation":1090,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1091,"legacy":15,"linkedin":1092,"meta":1093,"name":1089,"navigation":15,"path":1095,"photo":34,"role":34,"seo":1096,"stem":1097,"topic":34,"website":34,"__hash__":1098},"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":1094},"michael-khoo","/faculty/michael-khoo",{},"faculty/michael-khoo","vRl_-AO0A8xraN5t_Y_XgR1EMzL-G9WpJKI9LRhnKSM",{"id":1100,"title":1101,"affiliation":1102,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1103,"legacy":15,"linkedin":1104,"meta":1105,"name":1107,"navigation":15,"path":1108,"photo":34,"role":34,"seo":1109,"stem":1110,"topic":34,"website":34,"__hash__":1111},"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":1106},"michael-p-canares","Michael P. Cañares","/faculty/michael-p-canares",{},"faculty/michael-p-canares","6BbSAcLd0R0TuJaYMZ_bcmUHcwp5VrQCMy2iTB6QXlU",{"id":1113,"title":1114,"affiliation":34,"bio":1115,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1116,"legacy":47,"linkedin":34,"meta":1117,"name":1114,"navigation":15,"path":1119,"photo":34,"role":1120,"seo":1121,"stem":1122,"topic":34,"website":34,"__hash__":1123},"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":1118},"michelle-winowatan","/faculty/michelle-winowatan","Research Assistant",{},"faculty/michelle-winowatan","ntoprYtYdb69qzeOoDH0OIZRyYocJVD0uWd0qtFkRIA",{"id":1125,"title":1126,"affiliation":1127,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1128,"legacy":15,"linkedin":1129,"meta":1130,"name":1126,"navigation":15,"path":1132,"photo":34,"role":34,"seo":1133,"stem":1134,"topic":34,"website":34,"__hash__":1135},"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":1131},"natalia-adler","/faculty/natalia-adler",{},"faculty/natalia-adler","x3XYVJctiWzq4vPbSnpRVYZqJf4wJGw9XvT1lhOUHyk",{"id":1137,"title":1138,"affiliation":1139,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1140,"legacy":15,"linkedin":1141,"meta":1142,"name":1138,"navigation":15,"path":1144,"photo":34,"role":34,"seo":1145,"stem":1146,"topic":34,"website":34,"__hash__":1147},"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":1143},"natalia-carfi","/faculty/natalia-carfi",{},"faculty/natalia-carfi","DWP3TEtP8jvPaTnVAcRhfUa81L0oknuD_Ov4ueMyB0s",{"id":1149,"title":1150,"affiliation":1151,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1152,"legacy":15,"linkedin":1153,"meta":1154,"name":1150,"navigation":15,"path":1156,"photo":34,"role":34,"seo":1157,"stem":1158,"topic":34,"website":34,"__hash__":1159},"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":1155},"natalia-domagala","/faculty/natalia-domagala",{},"faculty/natalia-domagala","z4UoxPAvcyt_19R6WsXAwqQ8KG3FlKWI1Df9ceQ2OAk",{"id":1161,"title":1162,"affiliation":34,"bio":34,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":34,"legacy":47,"linkedin":34,"meta":1163,"name":1165,"navigation":15,"path":1166,"photo":34,"role":34,"seo":1167,"stem":1168,"topic":34,"website":34,"__hash__":1169},"faculty/faculty/natalia-gonzalez-alarcon.json","Natalia Gonzalez Alarcon",{"slug":1164},"natalia-gonzalez-alarcon","Natalia González Alarcón","/faculty/natalia-gonzalez-alarcon",{},"faculty/natalia-gonzalez-alarcon","5_O4v0eHO9xJcxtyU5BUk1_2r3V-ybOjkdqGq_DXddQ",{"id":1171,"title":1172,"affiliation":1173,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1174,"legacy":15,"linkedin":1175,"meta":1176,"name":1172,"navigation":15,"path":1178,"photo":34,"role":34,"seo":1179,"stem":1180,"topic":34,"website":34,"__hash__":1181},"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":1177},"nick-hart","/faculty/nick-hart",{},"faculty/nick-hart","nr_yHL5OvAPmgt58TYw04NVjf19AvCLixDQ-ZMwuRko",{"id":1183,"title":1184,"affiliation":1185,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1186,"legacy":15,"linkedin":1187,"meta":1188,"name":1184,"navigation":15,"path":1190,"photo":34,"role":34,"seo":1191,"stem":1192,"topic":34,"website":34,"__hash__":1193},"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":1189},"nicolas-schifano","/faculty/nicolas-schifano",{},"faculty/nicolas-schifano","4rKkBJGscyHEf8wdKvX5iTd--IdVRMqrSf7EtvF_M6g",{"id":1195,"title":1196,"affiliation":1197,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1198,"legacy":15,"linkedin":1199,"meta":1200,"name":1196,"navigation":15,"path":1202,"photo":34,"role":34,"seo":1203,"stem":1204,"topic":34,"website":34,"__hash__":1205},"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":1201},"nigel-jacob","/faculty/nigel-jacob",{},"faculty/nigel-jacob","2p7Bz3gycQDE6ffGBxPzAkMwBrWHVA5ZrOR6huMWsIs",{"id":1207,"title":1208,"affiliation":1209,"bio":34,"body":34,"category":92,"cohort":381,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1210,"legacy":47,"linkedin":1211,"meta":1212,"name":1208,"navigation":15,"path":1214,"photo":34,"role":34,"seo":1215,"stem":1216,"topic":1217,"website":34,"__hash__":1218},"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":1213},"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":1220,"title":1221,"affiliation":1222,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1223,"legacy":15,"linkedin":1224,"meta":1225,"name":1221,"navigation":15,"path":1227,"photo":34,"role":34,"seo":1228,"stem":1229,"topic":34,"website":34,"__hash__":1230},"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":1226},"paul-ko","/faculty/paul-ko",{},"faculty/paul-ko","xQQ0r2in4ZYZPu4O9cD4VvGB4veSoNYrx0eo5AZTaCk",{"id":1232,"title":1233,"affiliation":34,"bio":1234,"body":34,"category":78,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1235,"legacy":47,"linkedin":1236,"meta":1237,"name":1233,"navigation":15,"path":1239,"photo":34,"role":189,"seo":1240,"stem":1241,"topic":34,"website":34,"__hash__":1242},"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":1238},"paulina-behluli","/faculty/paulina-behluli",{},"faculty/paulina-behluli","KzMq7h-4JXW4j4bYqqTkIXwnl5QhtGb3qLT3UDEYy8Q",{"id":1244,"title":1245,"affiliation":1246,"bio":34,"body":34,"category":92,"cohort":1247,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1248,"legacy":47,"linkedin":1249,"meta":1250,"name":1252,"navigation":15,"path":1253,"photo":34,"role":34,"seo":1254,"stem":1255,"topic":1256,"website":34,"__hash__":1257},"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":1251},"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":1259,"title":1260,"affiliation":1261,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1262,"legacy":15,"linkedin":1263,"meta":1264,"name":1260,"navigation":15,"path":1266,"photo":34,"role":34,"seo":1267,"stem":1268,"topic":34,"website":34,"__hash__":1269},"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":1265},"peter-lovelock","/faculty/peter-lovelock",{},"faculty/peter-lovelock","T-0rMxQjEpVL0gBDJT3nu7rEeXXiZmVcF30aB_OECzk",{"id":1271,"title":1272,"affiliation":1273,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1274,"legacy":15,"linkedin":1275,"meta":1276,"name":1272,"navigation":15,"path":1278,"photo":34,"role":34,"seo":1279,"stem":1280,"topic":34,"website":34,"__hash__":1281},"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":1277},"peter-rabley","/faculty/peter-rabley",{},"faculty/peter-rabley","DJ0hn_3mdyNHFgwu8wiVLPcziiRfljHClrWpRzW-3J4",{"id":1283,"title":1284,"affiliation":1285,"bio":34,"body":34,"category":92,"cohort":381,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1286,"legacy":47,"linkedin":1287,"meta":1288,"name":1290,"navigation":15,"path":1291,"photo":34,"role":34,"seo":1292,"stem":1293,"topic":1294,"website":34,"__hash__":1295},"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":1289},"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":1297,"title":1298,"affiliation":1299,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1300,"legacy":15,"linkedin":1301,"meta":1302,"name":1298,"navigation":15,"path":1304,"photo":34,"role":34,"seo":1305,"stem":1306,"topic":34,"website":34,"__hash__":1307},"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":1303},"pieter-de-leenheer","/faculty/pieter-de-leenheer",{},"faculty/pieter-de-leenheer","nAiKM_c4vT7YgMB6xtyozZ0sSP1dSe2FBYyadFwzBYI",{"id":1309,"title":1310,"affiliation":1311,"bio":34,"body":34,"category":92,"cohort":367,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1312,"legacy":47,"linkedin":1313,"meta":1314,"name":1316,"navigation":15,"path":1317,"photo":34,"role":34,"seo":1318,"stem":1319,"topic":1320,"website":34,"__hash__":1321},"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":1315},"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":1323,"title":1324,"affiliation":1325,"bio":34,"body":34,"category":92,"cohort":367,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1326,"legacy":47,"linkedin":1327,"meta":1328,"name":1330,"navigation":15,"path":1331,"photo":34,"role":34,"seo":1332,"stem":1333,"topic":1334,"website":34,"__hash__":1335},"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":1329},"prof-ingmar-weber","Prof. Ingmar Weber","/faculty/prof-ingmar-weber",{},"faculty/prof-ingmar-weber","Computing for Society/Social Good","ePpzAhfnIE9mCjxcBmbJGDxpIVRb0-hToWFYEWasY5s",{"id":1337,"title":1338,"affiliation":34,"bio":1339,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1340,"legacy":47,"linkedin":1341,"meta":1342,"name":1344,"navigation":15,"path":1345,"photo":34,"role":34,"seo":1346,"stem":1347,"topic":34,"website":34,"__hash__":1348},"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":1343},"professor-brian-head-fassa","Professor Brian Head FASSA","/faculty/professor-brian-head-fassa",{},"faculty/professor-brian-head-fassa","ISkmG6eQk4OVvOmFtV0GLkG0lVzQklOWBOHA0Rio7h8",{"id":1350,"title":1351,"affiliation":34,"bio":1352,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1353,"legacy":47,"linkedin":1354,"meta":1355,"name":1357,"navigation":15,"path":1358,"photo":34,"role":34,"seo":1359,"stem":1360,"topic":34,"website":34,"__hash__":1361},"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":1356},"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":1363,"title":1364,"affiliation":1365,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1366,"legacy":15,"linkedin":1367,"meta":1368,"name":1364,"navigation":15,"path":1370,"photo":34,"role":34,"seo":1371,"stem":1372,"topic":34,"website":34,"__hash__":1373},"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":1369},"rachel-wells","/faculty/rachel-wells",{},"faculty/rachel-wells","Zd9QUrN8U6ZrsSjhy-DLWFIY0ZYcw7MdP2uG5IdoZDs",{"id":1375,"title":1376,"affiliation":1377,"bio":34,"body":34,"category":92,"cohort":367,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1378,"legacy":47,"linkedin":1379,"meta":1380,"name":1376,"navigation":15,"path":1382,"photo":34,"role":34,"seo":1383,"stem":1384,"topic":1385,"website":34,"__hash__":1386},"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":1381},"ramy-hcini","/faculty/ramy-hcini",{},"faculty/ramy-hcini","Data Spaces in the context of matching demand and supply and security","-rWrvlNEWCn3XBHQmb9CWYvT0ahjPATj9z7NS8LhpXg",{"id":1388,"title":1389,"affiliation":1390,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1391,"legacy":15,"linkedin":1392,"meta":1393,"name":1389,"navigation":15,"path":1395,"photo":34,"role":34,"seo":1396,"stem":1397,"topic":34,"website":34,"__hash__":1398},"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":1394},"richard-benjamins","/faculty/richard-benjamins",{},"faculty/richard-benjamins","qVN1VHgFK92frM8UkhDTLNHl1e7fKik9zKgXft5EHhY",{"id":1400,"title":1401,"affiliation":34,"bio":1402,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1403,"legacy":47,"linkedin":34,"meta":1404,"name":1401,"navigation":15,"path":1406,"photo":34,"role":1407,"seo":1408,"stem":1409,"topic":34,"website":34,"__hash__":1410},"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":1405},"roshni-singh","/faculty/roshni-singh","Researcher",{},"faculty/roshni-singh","kUaO0OcbTVbPEwRHOjfHOS7QHtVgeVjEWIuGL18ywrM",{"id":1412,"title":1413,"affiliation":1414,"bio":34,"body":34,"category":92,"cohort":381,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1415,"legacy":47,"linkedin":34,"meta":1416,"name":1413,"navigation":15,"path":1418,"photo":34,"role":34,"seo":1419,"stem":1420,"topic":1421,"website":34,"__hash__":1422},"faculty/faculty/ross-purves.json","Ross Purves","University of Zürich","https://cms.thegovlab.com/assets/760a7335-c0af-4597-9f96-96e39bae928d",{"slug":1417},"ross-purves","/faculty/ross-purves",{},"faculty/ross-purves","Teaching with and about (Open)(Government) data","y1f3pdZUzV6y2h-35-8fSldW2Z6ct7TajTj1ikGqh8c",{"id":1424,"title":1425,"affiliation":1426,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1427,"legacy":15,"linkedin":1428,"meta":1429,"name":1425,"navigation":15,"path":1431,"photo":34,"role":34,"seo":1432,"stem":1433,"topic":34,"website":34,"__hash__":1434},"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":1430},"rudi-borrmann","/faculty/rudi-borrmann",{},"faculty/rudi-borrmann","S95VUc9mtByKc1NUVAzZHo4KBPBdauoJdxLVaVn6Mbw",{"id":1436,"title":1437,"affiliation":1438,"bio":34,"body":34,"category":92,"cohort":381,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1439,"legacy":47,"linkedin":1440,"meta":1441,"name":1437,"navigation":15,"path":1443,"photo":34,"role":34,"seo":1444,"stem":1445,"topic":1446,"website":34,"__hash__":1447},"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":1442},"sachit-mahajan","/faculty/sachit-mahajan",{},"faculty/sachit-mahajan","Designing Routing as Civic Infrastructure: Open, Interoperable, Reusable","h2TFPUORfSpJrqXTOYHtmXLzbLYs7bNnHgPb79YXW6g",{"id":1449,"title":1450,"affiliation":34,"bio":1451,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1452,"legacy":47,"linkedin":34,"meta":1453,"name":1450,"navigation":15,"path":1455,"photo":34,"role":1456,"seo":1457,"stem":1458,"topic":34,"website":34,"__hash__":1459},"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":1454},"sampriti-saxena","/faculty/sampriti-saxena","Research Intern",{},"faculty/sampriti-saxena","1lFtbfZZp9b1-kPQmsAfiyWL97jl9yyGknrizGeyyQQ",{"id":1461,"title":1462,"affiliation":1463,"bio":34,"body":34,"category":92,"cohort":381,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1464,"legacy":47,"linkedin":1465,"meta":1466,"name":1462,"navigation":15,"path":1468,"photo":34,"role":34,"seo":1469,"stem":1470,"topic":1471,"website":34,"__hash__":1472},"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":1467},"sebastian-sigloch","/faculty/sebastian-sigloch",{},"faculty/sebastian-sigloch","Switch Data","0kYV6nwaqMpwvxd2A511FYmQqP7CvEYqhjs2h4ZyaTA",{"id":1474,"title":1475,"affiliation":827,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1476,"legacy":15,"linkedin":1477,"meta":1478,"name":1475,"navigation":15,"path":1480,"photo":34,"role":34,"seo":1481,"stem":1482,"topic":34,"website":34,"__hash__":1483},"faculty/faculty/shanna-crumley.json","Shanna Crumley","https://cms.thegovlab.com/assets/bfe62fac-d24c-4f90-9698-f67638348b00","https://www.linkedin.com/in/shannacrumley/",{"slug":1479},"shanna-crumley","/faculty/shanna-crumley",{},"faculty/shanna-crumley","iXUsWMnMY6mPvKHDLhgAZyhxocsHbNxH-_5w1E3Ffww",{"id":1485,"title":1486,"affiliation":827,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1487,"legacy":15,"linkedin":1488,"meta":1489,"name":1486,"navigation":15,"path":1491,"photo":34,"role":34,"seo":1492,"stem":1493,"topic":34,"website":34,"__hash__":1494},"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":1490},"smita-jain","/faculty/smita-jain",{},"faculty/smita-jain","g6qNp1x4R9a3MCXfGu-OOgoj8Dze1jUxqKdMuaw29M4",{"id":1496,"title":41,"affiliation":1497,"bio":1498,"body":34,"category":78,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1499,"legacy":47,"linkedin":1500,"meta":1501,"name":41,"navigation":15,"path":1503,"photo":34,"role":1504,"seo":1505,"stem":1506,"topic":34,"website":34,"__hash__":1507},"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":1502},"stefaan-verhulst","/faculty/stefaan-verhulst","Course Lead",{},"faculty/stefaan-verhulst","OU0_J9qbLAdOggqbBTXHGlhgyazJ7eKPpwEn4eIiPdA",{"id":1509,"title":1510,"affiliation":1511,"bio":34,"body":34,"category":92,"cohort":381,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1512,"legacy":47,"linkedin":1513,"meta":1514,"name":1510,"navigation":15,"path":1516,"photo":34,"role":34,"seo":1517,"stem":1518,"topic":1519,"website":34,"__hash__":1520},"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":1515},"stefan-metzger","/faculty/stefan-metzger",{},"faculty/stefan-metzger","TriRegio Data Space / Data Space Concept","Si9xi0nfhdPCS4LYK1_0Zl3GtlwKsgmkY3IkaVGxIjM",{"id":1522,"title":1523,"affiliation":1524,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1525,"legacy":15,"linkedin":1526,"meta":1527,"name":1523,"navigation":15,"path":1529,"photo":34,"role":34,"seo":1530,"stem":1531,"topic":34,"website":34,"__hash__":1532},"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":1528},"stephen-chacha","/faculty/stephen-chacha",{},"faculty/stephen-chacha","XFQOVAoxxF-67x3MvbGeTd21mOgiVjsQQPfmiv5hsA0",{"id":1534,"title":1535,"affiliation":1536,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1537,"legacy":15,"linkedin":1538,"meta":1539,"name":1535,"navigation":15,"path":1541,"photo":34,"role":34,"seo":1542,"stem":1543,"topic":34,"website":34,"__hash__":1544},"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":1540},"stuart-campo","/faculty/stuart-campo",{},"faculty/stuart-campo","xXK07w7YG_SxEIXVQ7xX6hefQP1-rtKW0CU4ggTVc_w",{"id":1546,"title":1547,"affiliation":1548,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1549,"legacy":15,"linkedin":1550,"meta":1551,"name":1547,"navigation":15,"path":1553,"photo":34,"role":34,"seo":1554,"stem":1555,"topic":34,"website":34,"__hash__":1556},"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":1552},"tyler-kleykamp","/faculty/tyler-kleykamp",{},"faculty/tyler-kleykamp","DOVnyGWVqDjwZO2jmL5sZtThIYSc2L4-qLXFkUbHh6I",{"id":1558,"title":1559,"affiliation":34,"bio":1560,"body":34,"category":65,"cohort":34,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1561,"legacy":47,"linkedin":34,"meta":1562,"name":1559,"navigation":15,"path":1564,"photo":34,"role":1120,"seo":1565,"stem":1566,"topic":34,"website":34,"__hash__":1567},"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":1563},"uma-kalkar","/faculty/uma-kalkar",{},"faculty/uma-kalkar","19ZAaVczDlFV-CVrOsdscP-9-93mnw4uUTgdHt78-6I",{"id":1569,"title":1570,"affiliation":1571,"bio":34,"body":34,"category":92,"cohort":121,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1572,"legacy":15,"linkedin":1573,"meta":1574,"name":1570,"navigation":15,"path":1576,"photo":34,"role":34,"seo":1577,"stem":1578,"topic":34,"website":34,"__hash__":1579},"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":1575},"valentin-muresan","/faculty/valentin-muresan",{},"faculty/valentin-muresan","bMedh5cgp7_cnJQAqbyIyK6naTlb14-9oRlJ539yl5Q",{"id":1581,"title":1582,"affiliation":1377,"bio":34,"body":34,"category":92,"cohort":367,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1583,"legacy":47,"linkedin":1584,"meta":1585,"name":1582,"navigation":15,"path":1587,"photo":34,"role":34,"seo":1588,"stem":1589,"topic":1385,"website":34,"__hash__":1590},"faculty/faculty/wassim-kallel.json","Wassim Kallel","https://cms.thegovlab.com/assets/7fc3249b-36ae-4bf2-8a24-f17915701918","https://www.linkedin.com/in/wassimkallel/",{"slug":1586},"wassim-kallel","/faculty/wassim-kallel",{},"faculty/wassim-kallel","vHzByAWe3IfptF8--3FBseOaOdIP_uSWNAH37IgoZbs",{"id":1592,"title":1593,"affiliation":1594,"bio":34,"body":34,"category":92,"cohort":666,"description":34,"expertise":34,"extension":46,"headshot":34,"image":1595,"legacy":47,"linkedin":1596,"meta":1597,"name":1593,"navigation":15,"path":1599,"photo":34,"role":34,"seo":1600,"stem":1601,"topic":1602,"website":34,"__hash__":1603},"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":1598},"yannik-sassmann","/faculty/yannik-sassmann",{},"faculty/yannik-sassmann","BMZ Data and AI Lab","ZlegG-Md_hy5eQodCby9lZL8eA_6iQMH6KvMupVtYeA",1785253392960]