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A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
A Center for Neural Data Science Seminar Series
A Center for Neural Data Science Seminar Series
The Bay Area Tech Economics Seminar is for graduate-trained economists and other quantitative social scientists from academia, policy, or the private sector who are interested in the tech economy and methods for analyzing it, and in making connections with others in this broadly defined space.
The Bay Area Tech Economics Seminar is for graduate-trained economists and other quantitative social scientists from academia, policy, or the private sector who are interested in the tech economy and methods for analyzing it, and in making connections with others in this broadly defined space.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
A Center for Neural Data Science Seminar Series
A Center for Neural Data Science Seminar Series
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
A Center for Neural Data Science Seminar Series
A Center for Neural Data Science Seminar Series
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
AI-generated child sexual abuse material (AI CSAM) carries unique harms. Schools have a chance to proactively prepare their AI CSAM prevention and response strategies.
AI-generated child sexual abuse material (AI CSAM) carries unique harms. Schools have a chance to proactively prepare their AI CSAM prevention and response strategies.
On December 2, 2025, the Lab is thrilled to host a conversation with Sandy Pentland, Stanford Digital Economy Lab Faculty Lead and Stanford HAI Center Fellow, about his new book, Shared Wisdom: Cultural Evolution in the Age of AI.
On December 2, 2025, the Lab is thrilled to host a conversation with Sandy Pentland, Stanford Digital Economy Lab Faculty Lead and Stanford HAI Center Fellow, about his new book, Shared Wisdom: Cultural Evolution in the Age of AI.
Learn about findings from a randomized controlled trial evaluating the impact of an AI-based tool on reading comprehension among middle and high school students with intellectual and developmental disabilities.
Learn about findings from a randomized controlled trial evaluating the impact of an AI-based tool on reading comprehension among middle and high school students with intellectual and developmental disabilities.
On November 10, 2025, Andrey Fradkin, Principal Economist at Amazon, will stop by the Digital Economy Lab for their seminar series.
On November 10, 2025, Andrey Fradkin, Principal Economist at Amazon, will stop by the Digital Economy Lab for their seminar series.
On October 30, 2025, the Digital Economy Lab will host a webinar with Director Erik Brynjolfsson and Head of ADP Research Nela Richardson to discuss the methodology and updated results of the National Employment Report.
On October 30, 2025, the Digital Economy Lab will host a webinar with Director Erik Brynjolfsson and Head of ADP Research Nela Richardson to discuss the methodology and updated results of the National Employment Report.
On October 27, 2025, Tamay Besiroglu, Co-Founder and CEO of Mechanize Inc, will stop by the Digital Economy Lab for their seminar series.
On October 27, 2025, Tamay Besiroglu, Co-Founder and CEO of Mechanize Inc, will stop by the Digital Economy Lab for their seminar series.
Learn about Common Crawl's insights from a recent data product and informed solutions for the future of public web data.
Learn about Common Crawl's insights from a recent data product and informed solutions for the future of public web data.