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More About HDSI

Featured

The Harvard Data Science Initiative provides many offerings to the Harvard community and the data science industry.

HDSI Postdoctoral Fellowships

The HDSI Postdoctoral Fellows work independently over a two-to-three year fellowship with the guidance and partnership of Harvard University faculty.

Harvard Data Science Review

As an open access platform of the HDSI, Harvard Data Science Review (HDSR) aspires to be a global forum on everything data science and data science for everyone.

Research Programs

The HDSI supports research in data science methodology and applications through multiple programs that align with research interests across Harvard Schools.

Industry Engagement

Learn from industry data scientists about the role data science plays in their organization, the methods and techniques being used, and their own career trajectory.

Upcoming Events

Latest News + Links

  • Connecting Data Science to Agricultural Resilience
    Recapping the 2025 Regenerative Agriculture Science and Policy Forum, co-hosted by HDSI and Indigo Ag  “Agriculture and food systems are among the most urgent domains for advancing public-good outcomes through data science,” says Elizabeth Langdon-Gray, executive director of the Harvard Data Science Initiative (HDSI). This view shaped the June 2025 Regenerative Agriculture Science and Policy Forum,…
  • Newly Funded: Improving Trust in Scientific Research Among Patients
    Gordon McKay professor of Computer Science Krzystof Gajos received HDSI funding to create a new platform that helps foster trust with individuals with movement disorders by allowing them to view and explore their own data, helping them feel more informed and engaged in the research process. Understanding how people move and behave can help scientists…
  • Newly Funded – The Proposal Pivot Engine
    With funding from the HDSI, Professor S. Bryn Austin and team are developing the Proposal Pivot Engine (PPE), a data-driven tool to help researchers adapt their proposals for non-federal funding sources like philanthropic organizations and industry partners. The prototype will use natural language processing and machine learning to analyze proposals, map funding ecosystems, and generate…

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