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Stephen Lieberman
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Data Science for Social Good (DSSG) Fellowship

Carnegie Mellon University and the Data Science for Social Good Foundation

NontraditionalTraining & capacity

Full-time summer fellowship in which student teams build machine learning and data science projects with government and nonprofit partners on real social problems; agencies and nonprofits can also propose projects as partners.

Indicative award
Not a cash award (not a cash award)Page gives no stipend figure; partner organisations receive fellow project work in kind.
Timing
Annual cycleAnnual cycle · MarNo specific published date recorded. This funder publishes a cycle rather than a date, and this database does not invent one.Three-month summer program; the 2026 edition was hosted at Johns Hopkins University with an extended deadline of March 6, 2026.
Who can apply
Master's / undergraduate, Doctoral candidate, Community organisation
Eligibility
Open to current or recent graduate and undergraduate students from quantitative and computational fields; partner projects come from governments and nonprofits.
SSWR clusters
Special Interest Groups
Topics
data science · machine learning for public good · government analytics · nonprofit data projects · applied research
Apply at
https://dssgfellowship.org/
This entry
Curated by the working group. Written 2026-09-23. Funder link last confirmed to resolve on 2026-09-25.

Amounts and dates on this page are indicative and are maintained by people rather than scraped. Funders change ceilings, windows and eligibility without notice; confirm all details at the source above before applying.

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