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Classification
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Agentic access
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Published agent capabilities
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Coverage
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Structured public business summary
Data Science for Social Good
Research, Practice, and Education at the intersection of Machine Learning and Public Policy Our Work We are a team of researchers at Carnegie Mellon University developing data science systems in collaboration with government and nonprofit partners to tackle real-world problems and improve societal outcomes. Projects
Global
Categories
- Education & Training (primary)
Public contacts
- Public email: dssg@cmu.edu
- Public phone: 2025-05-06
- github: https://github.com/dssg
- github: https://github.com/dssg/triage/tree/master/src/triage/component/postmodeling
- github: https://github.com/dssg/lorax
- github: https://github.com/dssg/pgdedupe
- github: https://github.com/dssg/ohio
- github: https://github.com/dssg/dickens
- github: http://github.com/dssg/
- github: https://github.com/dssg/hitchhikers-guide
- github: http://github.com/dssg/aequitas
- github: http://www.github.com/dssg/aequitas
- linkedin: https://www.linkedin.com/posts/carnegie-mellon-university---h.-john-heinz-iii-college_this-past-weekend-heinz-college-and-the-activity-7295139813299478528-V_xl/
- twitter: http://www.twitter.com/datascifellows
Declared AI capabilities
- Online booking — Detected from public website navigation or discovery metadata.
- Online support — Detected from public website navigation or discovery metadata.
Directory status
Registry verification: Not Registry Verified
Directory score: 80
Public source evidence
- Data Science for Social Good
- Work With Us – Data Science for Social Good
- Training and Education – Data Science for Social Good
- Projects – Data Science for Social Good
- Aequitas – Data Science for Social Good
- Tools – Data Science for Social Good
- Jobs – Data Science for Social Good
- Our Team – Data Science for Social Good