The Harvard Data Science Initiative supports research in data science methodology and applications through the following mechanisms:
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The Harvard Data Science Initiative Postdoctoral Fellows supports postdoctoral scholars with interests in advancing the field of data science. Fellows are independent investigators who pursue their own research in collaboration with Harvard faculty. (Not currently accepting applications)
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The Harvard Data Science Initiative Faculty Special Projects Fund provides one-time support of up to $5,000 for data science opportunities for which other funding is not readily available. Applications accepted throughout the year. (NOW ACCEPTING APPLICATIONS)
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The Harvard Data Science Initiative Competitive Research Fund provides targeted seed and bridge funding to Harvard faculty who propose novel methods, innovations, or solutions to data science challenges. (Not currently accepting applications)
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The Harvard Data Science Initiative Postdoctoral Fellow Research Fund incentivizes and supports cross-disciplinary collaboration between data scientists at the postdoctoral level. (Not currently accepting applications)
- The Harvard Data Science Initiative Public Service Data Science Graduate Fellowship supports Master’s students in Harvard’s data science programs (Biomedical Informatics, Health Data Science, Data Science) who want to explore career paths at not-for-profit and public sector organizations through a summer internship. (Not currently accepting applications)
Special Requests for Proposals - The Harvard Data Science Initiative also supports thematic research related to our special programs:
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(NOW ACCEPTING APPLICATIONS) #metoo Digital Media Collection Special Project Grants. This special one-time grant opportunity, a joint initiative of HDSI and Radcliffe’s Schlesinger Library, seeks to seed research and teaching projects using the Schlesinger’s #metoo Digital Media Collection.
- (Closed) The Special RFP for COVID-19 Trust in Science Proposals 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.