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Illuminating interdisciplinary pathways to solve real problems.

In a world with critical ethical challenges regarding facts, data, and truth.

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Featured Programs

GenAI Workshops

Text that reads Generative AI for Graduate Students And Postdocs Learn faster Build smarter Use AI responsibly Free Lunch Weekly workshops begin Oct 7 12 pm to 1:30 pm Room 450, Jefferson Building Harvard ID holders only HDSI logo

A free five–session, hands-on series for Harvard graduate students and postdocs hosted on Tuesdays from October 7 to November 4, 2025.

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AWS Impact Computing Project

A five-part video series about how we’re collaborating with AWS to build the field of impact computing.

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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

Mar
03

Causal Seminar: Davide Viviano

On March 3, 2026 at 3:30 am
Apr
07

Causal Seminar: Rui Duan

On April 7, 2026 at 3:30 pm
May
12

Causal Seminar: Francesca Dominici

On May 12, 2026 at 3:30 pm

Latest News + Links

  • Newly Funded: Two Innovation API Awards
    The Harvard Data Science Initiative (HDSI) in conjunction with Harvard University Information Technology (HUIT) and the Office for the Vice Provost for Research (OVPR) has selected two projects for support through the Innovation API Fund, providing OpenAI API credits to accelerate research efforts across Harvard University. Learn more about the fund and how to apply…
  • Reliable Evidence for Better Public Health Decisions
    At a local health department, an epidemiologist scans fresh maps and lab results to decide which blocks need help first.We’re turning regulated data and field surveillance into guidance that moves help where it’s needed, fast. Data Platforms, Causal Inference and Machine Learning Methods for Identifying Social Determinants of Health in the US  Project Lead: Francesca…
  • Exposing Power and Risk in Food Systems
    When weather swings or trade routes falter, the ripple effects reach dinner tables and national budgets. We’re making those pressures visible—who can supply, who depends, and where shortfalls may hit first. Food Power and Food Insecurity Project Lead: David Yang What we’re building What it enables Climate Change and Volatility in Food Supply: Historical contributions…

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