Upcoming Events
AI & Economics Summer Institute
August 6–11, 2026
Now in its sixth year, the AI and Economics Summer Institute brings together leading researchers and advanced PhD students to advance cutting-edge work at the intersection of AI and economics. This year's program runs August 6–10 on the University of Chicago campus, with a full-day research conference on August 11. Organizers include faculty from Chicago Booth, Carnegie Mellon, Microsoft Research, and Wharton.
World Models at Chicago Booth
August 31, 2026
Hosted by Chicago Booth and CAAI, the Workshop on World Models brings together researchers working on one of AI's most active frontiers. Limited in-person spots are available by random selection; everyone is welcome to join virtually.
Learn more.
Recent Events
AI: For Power, Profit, or People
MacArthur Foundation's Eric Sears joined moderator Julia Stasch to examine AI's risks, corporate power, and the role of philanthropy in shaping who the technology actually serves.
Seeing in 3D: How Thinking Differently About Data Unlocks Groundbreaking Differentiation
Neo4j CTO Philip Rathle showed students how graph technology and relational data approaches are giving organizations a competitive edge as AI reshapes industries.
Technology, AI, and the Labor Market
Erik Hurst and Sanjog Misra examined how AI and automation are reshaping work, drawing parallels to earlier technological transitions and what they suggest about what comes next.
Building AI at Scale: A Conversation with Kunal Madhok
Booth alum and Wells Fargo Head of AI Kunal Madhok shared how a leading financial institution is deploying AI agents at enterprise scale and what it takes to make it work in practice.
Nvidia's 4th Quarter Earnings Discussion
Dean Minnis contextualized Nvidia's Q4 earnings within the broader history of tech valuations, drawing comparisons to the dot-com era to frame today's AI investment landscape.
From Product to AI Leadership: Career Pathways Webinar with Booth Alumna Jaya Kandaswamy
City National Bank SVP Jaya Kandaswamy traced her path into AI-driven product leadership and the practical lessons it offers for how financial institutions are building with AI today.
Building Reliable AI for Financial Predictions: Lunch and Learn With Professor Bradford Levy
Professor Bradford Levy addressed what it takes to build forecasting models that are genuinely forward-looking, reliable, and ready for real-world deployment in today's AI landscape.
Alumni Faculty Fireside: Innovating Intelligence
CAAI Director Sanjog Misra and incoming Booth faculty member Ted Sumers, moderated by Dean Madhav Rajan, explored how AI democratizes intelligence and what that means for business and education.
Chicago Data Night: Gaston Messineo
CAAI and the UChicago Data Science Institute explored AI's evolution in the insurance industry with EY-Parthenon partner Gaston Messineo, connecting practitioners and academics across the Chicago data community.
BoothHacks 2025
Booth's first-ever vibe-coding hackathon brought together student technologists and creatives to build and pitch next-generation AI solutions.
SMP and CAAI Fireside Chat
McKinsey Senior Partner and QuantumBlack co-leader Alex Singla joined Sanjog Misra to discuss what effective AI strategy and leadership look like at scale.
CAAI Faculty Series Kickoff
CAAI launched its student-focused Faculty Series, connecting Booth students with leading applied AI researchers to explore how the field is reshaping research, teaching, and practice. Learn more.
2025 Conference on Frontiers in Machine Learning and Economics
CAAI and the Federal Reserve Bank of Philadelphia co-hosted leading researchers working at the intersection of machine learning and the social sciences. Learn more.
2025 AI in Social Science Conference
A two-day cross-disciplinary conference examining how AI is transforming social science research and how social science, in turn, is shaping how AI gets built and used.
Chicago Data Night: Benchmarking Predictive Intelligence with Prophet Arena
UChicago's Haifeng Xu Haifeng Xu introduced Prophet Arena, a live benchmark for evaluating the forecasting capabilities of large language models, in collaboration with the UChicago Data Science Institute. Learn more.