The public discourse around trust in science has been too narrowly construed as a matter of believing the scientific pronouncements of national health authorities, argue Trust in Science faculty lead Sheila Jasanoff, along with her colleague Stephen Hilgartner in a recent piece in Verfassungsblog. Drawing on...
Together with the Science, Technology, and Society Program of the Harvard Kennedy School, the HDSI convened a roundtable of four leading experts from academia and public life for a conversation spanning the many crises that have marked 2020, from pandemic response to the census to police reform. Panelists Marc Lipsitch (Harvard University), Ken Prewitt (Columbia University), Ruha Benjamin (Princeton University), and Chris Mooney (The Washington Post) shared their thoughts on the myriad ways that trust in science is interwoven with trust in democracy.
The Harvard Data Science Initiative is pleased to announce the appointment of Sheila Jasanoff, Pforzheimer Professor of Science and Technology Studies, Harvard Kennedy School, as Faculty Lead of the HDSI’s Trust in Science project. Professor Jasanoff is a pioneer in the field of Science and Technology Studies and brings to her role decades of scholarship examining the role of science in society. She is the author of more than 130 articles or book chapters and is editor or author of more than 15 books on related topics.... Read more about Sheila Jasanoff announced as Trust in Science Faculty Lead
Jill Lepore, David Woods Kemper ’41 Professor of American History at Harvard, and staff writer at The New Yorker, joins Fran Berman, Edward P. Hamilton Distinguished Professor in Computer Science at RPI, for a wide-ranging discusson from Lepore's recently published book IF THEN: How the Simulmatics Corporation Invented the Future, to the context of data science, to the state of data science in education, and beyond.
This week the Data Science Initiative has awarded funding to the following researchers for the Trust in Science and COVID-19 Fund. You can read more about the awards as well as the full DSI Trust in Science program here.
The goal of the Special COVID-19 Trust in Science RFP is to enable faculty across Harvard to study issues related to trust in science, broadly construed, in the context of the novel coronavirus pandemic. The HDSI welcomes data-science related proposals from all disciplines that seek to explore issues such as: the credibility of data and data models, the spread of information and misinformation, issues related to communication of scientific findings in a pandemic, data-driven indicators of consensus around scientific findings and recommendations, uptake of recommendations in different communities and national contexts, and the effect and impact of open data on public trust. These are examples only and applicants are encouraged to think broadly.... Read more about Trust in Science and COVID-19 Special RFP