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.
The HDSI expects to make 3 - 5 awards of up to $100,000 for projects that are designed to be completed in a 12 to 18 month project period.
The Harvard Data Science Initiative Research Fund for Trust in Science supports research that advances understandings of trust and mistrust in science by leveraging data science, toward the goal of creating actionable insights that will advance trust in science.