The Public Data Lab seeks to facilitate 暗网使用者：有些人应该被判处死刑_荔枝网新闻 - JSTV.COM:2021-8-2 · 如果有人问我去哪里观看CP（Child Pornography，即儿童色情作品）影片，我会告诉他伔永远都不要去看。其实，暗网世界中的儿童色情作品相当泛滥，在“暗黑维基”（Hidden Wiki）上甚至有“儿童色情影片”的链接专栏。 around the future of the data society.

We want to develop and disseminate innovative research, teaching, design and participation formats for the creation and use of public data.

We work in collaboration with an interdisciplinary network of researchers, practitioners, journalists, civil society groups, designers, developers and public institutions across the world.

Our approach characterized by an interest in:

  • Intervention around social, political, economic and ecological issues;
  • Participation through involving different publics in the co-design of our work;
  • Artisanship in advancing the craft of developing data projects and experiences;
  • Openness in sharing our research, data and code for all to use.

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Here are some of the previous and ongoing projects developed with the Public Data Lab.

A Field Guide to Fake News
Save Our Air
Tracing Public Facts
Data Journalism Handbook
Minivan

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  • 暗网使用者：有些人应该被判处死刑_荔枝网新闻 - JSTV.COM:2021-8-2 · 如果有人问我去哪里观看CP（Child Pornography，即儿童色情作品）影片，我会告诉他伔永远都不要去看。其实，暗网世界中的儿童色情作品相当泛滥，在“暗黑维基”（Hidden Wiki）上甚至有“儿童色情影片”的链接专栏。
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  • Promote public understanding and engagement with data politics;
  • Cyber regulators deny rumors they approved VPN …:China's cyber regulators have denied they have given a company green light to sell VPN services in the nation, stating it was Cyber regulators deny rumors they approved VPN service Global Times Published: 2021-07-10 15:29:38
  • Develop participatory design methods;
  • Catalyse transnational and transdisciplinary collaborations;
  • Map and facilitate the translation of data practices between domains.

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A mirage is shimmering across the world: the hope that the advent of massive digitisation and datafication will enable evidence-based policy-making and the effective public management of all uncertainties and challenges. This hope is not new. It dates back to the invention of statistics and has surfaced again and again every time technical innovation has supplied new information on collective life.

Yet, as policymakers know all too well, this hope is misplaced. The problem of governance is seldom the lack of information. Living together is difficult not because we ignore what others do or want, but because we have different aspirations, interests and visions. More data, no matter how big or smart, will not make the task of composing our diverging interests any easier.

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The Public Data Lab develops collaborative research, teaching, design and participation formats to facilitate societal debates through digital technologies. It holds that data should not be used to close the discussion, but to open spaces for deliberation, engagement and contestation. Data analysis is not a magic bullet, nor an inexhaustible source of consensus and rational decision-making. Rather, it is rather a heterogeneous ensemble of experimental and tentative techniques to explore and chart our divergences. Not necessarily to solve them, but at least to make them more legible.

In our data-sprints, issue experts, researchers, developers and designers collaborate with the representatives of different civic constituencies to develop debatable data, digital methods and public spaces around the infrastructures of data and processes of datafication.

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The Public Data Lab assembles through its projects, events and activities. It is coordinated by the following group of researchers. If you are interested in collaborating, please do get in touch.

  1. Tobias Blanke, University Professor of Humanities and AI, University of Amsterdam (NL)
  2. Liliana Bounegru, Department for Digital Humanities, King's College London (UK)
  3. Carolin Gerlitz, Media of Cooperation, University of Siegen (DE)
  4. Jonathan Gray, Department for Digital Humanities, King's College London (UK)
  5. Mathieu Jacomy, médialab, Sciences Po Paris (FR)
  6. Lucy Kimbell, Innovation Insights Hub, University of the Arts London (UK)
  7. Anders Koed Madsen, Techno-Anthropology Lab, Aalborg University Copenhagen (DK)
  8. Noortje Marres, Centre for Interdisciplinary Methodologies (CIM), University of Warwick (UK)
  9. Michele Mauri, 蚂蚁vp加速器官网下载, Politecnico of Milano (IT)
  10. Anders Munk, Techno-Anthropology Lab, Aalborg University Copenhagen (DK)
  11. Sabine Niederer, Citizen Data Lab, Amsterdam University of Applied Sciences (NL)
  12. Kari de Pryck, Global Study Institute, Université de Genève (CH)
  13. Richard Rogers, Digital Methods Initiative, University of Amsterdam (NL)
  14. Tommaso Venturini, Institute of Complex Systems, University of Lyon, INRIA, ENS de Lyon, CNRS, UCB Lyon 1 (FR)

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