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Upcoming Event: The role of data journalism in the COVID-19 pandemic

A defining feature of the COVID-19 pandemic has been the range of news outlets conducting their own data acquisition, aggregation, visualization, and analysis. Journalists are participants in the scientific process rather than conveyors of the results. The practice of data journalism goes back to at least the early 1970’s when journalists Philip Meyer, Donald Barlett and James Steele of the Philadelphia Inquirer accessed digitally recorded data to analyze sentencing patterns in the local Philadelphia court system. Since that time, data journalists have been active in obtaining, organizing, and analyzing public data to inform their reporting with quantitative force. These efforts may have gone largely unnoticed by scientists in the past, but have become highly visible this year and are supporting epidemiologists and data scientists working to understand the dynamics of the pandemic. In this forum, we will examine the contributions of data journalism to informing our understanding and combat the pandemic; explore how journalists’ contributions may be shaping the scientific response and public policy; and hear from data scientists’ experience in utilizing these sources.

  • moderator

    Irena Hwang, PhD

    Local data reporter, ProPublica.
  • TBA

    Mark Hansen

    David and Helen Gurley Brown Professor of Journalism and Innovation
  • TBA

    Ana Carolina Moreno

    Senior Data Journalist at TV Globo in São Paulo, Brasil.
  • TBA

    Meghan Hoyer

    Director of data reporting at The Washington Post.
  • TBA

    Panel Q&A

About

Data drives the effort to beat COVID-19

The COVID-19 pandemic is challenging science and society to an unprecedented degree. Human lives and the future of our society are at stake. Containing the virus and “flattening the curve” of the pandemic depend on mounting a strong, coordinated, scientifically informed public health response which will, in turn, ultimately depend on having complete and accurate data from multiple data sources.

The COVID-19 Data Forum: is an ongoing series of multidisciplinary, webinars and online meetings for topic experts to discuss data-related aspects of the scientific response to the pandemic. The COVID-19 Data Forum is a joint project of the R Consortium and the Stanford Data Science Institute. The webinars are free and open to the public.

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Meetings

Previous Meetings

Information on past meetings, events, conferences, webinars.

December 10, 2020 Webinar Recap

December 10, 2020 Webinar Recap

Mobility data in monitoring and forecasting COVID-19 December 10, 2020

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August 13, 2020 Webinar Recap

August 13, 2020 Webinar Recap

Beyond case counts: Making COVID-19 clinical data available and useful August 13, 2020

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Intro to the first meeting

Intro to the first meeting

Welcome everyone! to the first session of the COVID-19 Data Forum.

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Governance

Organization and Partners

Organzing Committee

Joseph RickertChair, R-Consortium Board of Directors, R-Consortium >
John chambersAdjunct Professor, Stanford University >
Alison L. HillAssistant Professor, Institute for Computational Medicine, Johns Hopkins University >
Michael KaneAssistant Professor, Department of Biostatistics, Yale University >
Balasubramanian NarasimhanSenior Research Scientist, Department of Biomedical Data Sciences, Stanford University >
Chris MentzelExecutive Director Stanford Data Science, Stanford University >

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