Faculty Advancing Applied AI
CAAI supports faculty working across disciplines to advance innovative applications of AI to transform business, markets, and society.
Recent Publications in Applied AI
Beyond Raw Transcripts Structured Persona Extraction for LLM-Based Digital Twins
2026
Authored by Ozan Candogan,
Consumer Preference Transmission in Agentic Markets
2026
Authored by Andreas Kraft,
Deep Flow Networks
2026
Authored by Ozan Candogan,
A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
2026
Authored by X. Y. Han,Yuan Zhong,
From Unstructured Data to Demand Counterfactuals: Theory and Practice
2026
Authored by Giovanni Compiani,
A Comparative Study in Surgical AI: Datasets, Foundation Models, and Barriers to Med-AGI
2026
Authored by X. Y. Han,Yegor Baranovski,Eric Fithian,Kirill Skobelev,
Non-Exclusive Notifications for Ride-Hailing at Lyft II: Simulations and Marketplace Analysis
2026
Authored by Rad Niazadeh,
Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI
2026
Authored by Anders Humlum,Emilie Vestergaard,
Demand Estimation with Text and Image Data
2026
Authored by Giovanni Compiani,
Our Research
At the Center, we pursue cutting-edge research that investigates how machine learning and AI are changing the way we do business, science, and social policy.
Our Research
Who We Are
Learn more about the leadership, faculty, and staff of the Center for Applied Artificial Intelligence.
Who We Are
Opportunities to Engage
The Center for Applied AI hosts numerous events and opportunities for those interested in getting involved in our community.
Opportunities to Engage
Our Stories
Read the latest insights from our community, and discover how we are transforming the field of AI through innovation and education.
Our Stories