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

Curtailing the census enumeration period will destroy the quality of the data for a decade. With bad data, statistical analyses are useless, predictions are pointless. Bad data also threatens to cripple the development of data science, as algorithms trained on bad data will necessarily fail, obscuring information about the quality of the algorithms essential for improving the field. #DontRushtheCensus....

Harvard Data Science Review airs COVID-19 findings

Data science has made key contributions in the battle against COVID-19, from tracking cases and deaths to understanding how populations move during travel restrictions to vaccine design. The Harvard Data Science Initiative is working to support faculty members, students, and fellows in designing and applying the tools of statistics and computer science and creating a community to foster the flow of ideas. The year-old Harvard Data Science Review published a...

On June 23, 2020, the Harvard Data Science Initiative released an Anti-Racism Statement in response to the murders of George Floyd, Breonna Taylor, Ahmaud Arbery and the outpouring of public anger their murders impelled.  In that Statement, we committed to “identify concrete ways in which we, as a Harvard data science community, can support research programs and education that expose bias in the way data and data science is used, as well as advance research into fair and responsible...