News and Events

HDSI Postdoctoral Fellows Anti-Racism Statement

June 23, 2020

The Harvard Data Science Initiative (HDSI) Postdoctoral Fellows feel outrage and anguish over the killings, police brutality, and injustices that disproportionately affect and marginalize Black people in America. The events of the past few weeks have been profound reminders of the systemic racism and injustice throughout our society and the dedicated work on which we need to act in order to dismantle racial inequity.... Read more about HDSI Postdoctoral Fellows Anti-Racism Statement

HDSI Anti-Racism Statement

June 23, 2020

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

COVID-19 Death Rates Surge Among Already Challenged Communities

May 18, 2020

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.

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Trust in Science and COVID-19 Special RFP

May 11, 2020

Today the Harvard Data Science Initiative is launching a Special RFP for Trust in Science and COVID-19.

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