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…
Nutrition Security Under Changing Conditions
At a rural clinic, a health worker records a child’s weight; at a market, a parent chooses what fish to buy. We’re translating real-world signals into timely guidance that supports nutrition security and public health. Linking climate and environmental exposures to malnutrition in a food-insecurity hotspot Project Lead: Christopher Golden What we’re building What it…
Newly Funded: Creating a Benchmark for Multi-Step Verified Programming
Led by Nada Amin, this project aims to build the first large-scale benchmark for verified programming, uniting program synthesis and formal verification. The team will develop a dataset of 1,000 problems—each paired with metadata, specifications, and automatically checkable solutions in the Dafny language—to evaluate how large language models perform when asked not only to write…
Climate Decisions, Made Clearer and Faster
When smoke drifts over a city or storms gather on short notice, people need practical answers, not guesswork. We’re turning climate data and models into guidance communities can use. Climateverse: Making Climate Data Actionable Project Leads: Satchit Balsari; Caroline Buckee What we’re building What it enables Physics-Aware Foundation Models for Extreme Atmospheric Events Project Leads: Petros…
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…
Unlocking Cloud-Scale Collaboration for People and Planet
The AWS Impact Computing Project at the Harvard Data Science Initiative meets moments when answers can’t wait. Harvard researchers are redefining how teams start safely, scale fast, and share what works. See how Harvard and AWS are creating a working model of modern science with real payoffs – tools and resources – for climate resilience,…
Newly Funded: Four 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 four 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…
Just Out: AWS-HDSI Round 5 RFP
We are delighted to invite you to submit a full application for funding from the AWS Impact Computing Project at the Harvard Data Science Initiative, using the submission protocol described below. The proposal is due on Friday, November 14th, 2025. Funding of up to $125,000 total direct costs (maximum 18-month term) will be made available for each of a…
Newly Funded: Six Faculty Special Projects
The Harvard Data Science Initiative is pleased to announce support for six new faculty research projects: Accelerating Improvement in Medical Education Delivery (AI-MED) Kevin Croke, Associate Professor of Global Health, proposes the first field deployment of a self‑administered, LLM‑driven clinical‑vignette platform to measure primary care provider competencies and evaluate education interventions in Vietnam. Addressing the…
Data Brokerage as a Digital Native: One Student’s Perspective
By Matthew Huang Matthew is a high school senior from Alpharetta, Georgia. Our world is undeniably digital. For a growing number of us, life online is the primary stage for learning, connecting, and playing. Yet, each tap, click, and search in this immersive environment contributes to an underground ecosystem, quietly collecting and cataloging our digital footprints. …
Announcing an AI‑Enhanced One‑Week Online Course “Generative AI: Wisdom and Warnings from Harvard Data Science Review”
The Harvard Data Science Initiative (HDSI) is offering Generative AI: Wisdom and Warnings from Harvard Data Science Review, a one-week online intensive course taught by members of the HDSR boards and grounded in materials from HDSR publications. The course uses the AI‑based learning platform developed, trained, and pedagogically supported by Next Gen Learning (NGL). The…
Insights from the 2nd Annual Vine to Mind Symposium
This June, the second Vine to Mind Symposium convened in Lausanne, Switzerland, co-hosted by the Harvard Data Science Initiative (HDSI) and EHL Hospitality Business School. Launched in 2024, this series uses the wine industry as a lens to examine how data and AI operate in environments shaped by cultural, environmental, and regulatory complexity. The 2025…