Category Archives: Public Data Lab

Twelve Challenges for Critical Data Practice

As we’re in the final stages of editorial for the Data Journalism Handbook (forthcoming on Amsterdam University Press) Liliana Bounegru and I are curious to hear from those who have read and/or used the online beta of the book. In particular we’re curious to learn about any projects or activities which were prompted by the “Twelve […]

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Interview in New Internationalist on air pollution data practices

I was recently interviewed by New Internationalist co-editor Amy Hall for the cover story of its latest edition on air pollution. We spoke about a recent interdisciplinary research project at King’s College London on “Doing Participation with Air Pollution Data” also building on the Public Data Lab’s Save Our Air project. Here’s an excerpt: Jonathan […]

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New Article: “‘Fake News’ as Infrastructural Uncanny”, New Media & Society

An article by Liliana Bounegru, Tommaso Venturini and I on “‘Fake news’ as infrastructural uncanny” has just been published in New Media & Society. It builds on work that we did as part of the Field Guide to “Fake News” with the Public Data Lab. The article is open access and freely available on the web and in PDF format. […]

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New Chinese Translation of Public Data Lab’s “A Field Guide to ‘Fake News’ and Other Information Disorders”

I’ve just received a copy of a new Chinese translation of the Public Data Lab‘s “A Field Guide to ‘Fake News’ and Other Information Disorders” which has been published by the Quality News Development Association (優質新聞發展協會) in Taipei. I’ve been told that a free digital copy is forthcoming, and in the mean time printed copies […]

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Abstract for “Fog of Finance? Visualising Offshore and the Aesthetics of Uncertainty” at MoneyLab #6, University of Siegen

Following is the abstract for our contribution on “The Fog of Finance? Visualising Offshore and the Aesthetics of Uncertainty” at the upcoming MoneyLab #6: Infrastructures of Money hosted by the Institute of Network Cultures and the University of Siegen. This is based on a collaboration between the Tax Justice Network, the University of Sussex, Density Design and the […]

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Interview on new edition of Data Journalism Handbook

As Liliana Bounegru and I are preparing the manuscript of the Data Journalism Handbook: Towards A Critical Data Practice (forthcoming, Amsterdam University Press), here is the full transcript of an interview we did about the book with the European Journalism Centre in December 2018, selections of which were published here and here. Why another Data Journalism Handbook?  […]

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Table of contents and chapter previews for “The Data Journalism Handbook: Towards a Critical Data Practice”

As we announced last year, Liliana Bounegru and I are currently co-editing a new edition of the The Data Journalism Handbook which will be published on Amsterdam University Press next year. As it says in the introduction, the book is “a collective experiment in accounting for data journalism practices and a collective invitation to explore […]

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New project: What can citizen-generated data do? Research collaboration around UN Sustainable Development Goals

A new research initiative led by the Public Data Lab, King’s College London and Open Knowledge International in collaboration with the Global Partnership for Sustainable Development Data and the UN Foundation will map and explore what “citizen-generated data” can do, with a particular focus on the UN Sustainable Development Goals. It will be undertaken ahead of the […]

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Panel on “Data Worlds” at EASST2018

I’m co-convening a panel on “Data Worlds? Public Imagination and Public Experimentation with Data Infrastructures” at EASST2018 – the latest edition of the conference of the European Association for the Study of Science and Technology – which takes place on 25-28th July 2018 at Lancaster University, UK. The panel is organised by several colleagues at the Public […]

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New Project: “Save Our Air”

Today the Public Data Lab is launching its Save Our Air project, which explores how data can be used to attend to and assemble people around different aspects of air pollution. As well as focusing on how data can represent air pollution levels in the context of science and policy, it looks at how “situating […]

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