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 Harvard Data Science Initiative and the Harvard Data Science Review share the grief and outrage of people throughout the United States and around the world over the murders of George Floyd, Breonna Taylor, Ahmaud Arbery and countless other unnamed Black lives. We abhor the racial inequity that is felt every day by people across our country.... Read more about HDSI Anti-Racism Statement
Congratulations to HDSI Planning Committee Member and Competitive Research Awardee Cynthia Dwork on winning the 2020 Donald E. Knuth Prize for her “fundamental and lasting contributions to computer science.”
Using home addresses and death notices, Harvard resaerchers find that as the death rate increased across Massachusetts it surged nearly 40 percent higher in cities and towns with the largest concentrations of people of color compared to those with the least. The mortality rate increased nearly 14 percent more in municipalities with the most crowded housing compared to those with the least. And in cities and towns with the most poverty, the death rate increased 9 percent more than those with the least poverty.
The Harvard Data Science Review, a publication of the HDSI, just released COVID-19: Unprecedented Challenges and Chances, a special issue focusing on the pandemic through the lens of data science. The issue launched with six articles covering the probability of vaccine success, testing for...
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