.png){kind=logo}
About Our Lab
The Data Innovation and AI Lab is a collaborative research initiative based at UC Berkeley (Haas School of Business) and the University of Pennsylvania (Wharton School). Co-directed by Abhishek Nagaraj and Matteo Tranchero, our lab brings together researchers from economics, computer science, and business to study the profound impact of artificial intelligence and big data on economic systems.
Our interdisciplinary approach combines rigorous economic analysis with cutting-edge data science methods to understand how AI technologies are transforming industries, labor markets, and innovation ecosystems. We work closely with industry partners, policymakers, and academic institutions to ensure our research has real-world impact and contributes to evidence-based decision making.
Research Focus Areas
Data Access & Scientific Innovation
How data availability and access shape research processes, scientific discovery, and knowledge production across disciplines.
AI & Large Language Models
Understanding the capabilities, limitations, and implications of artificial intelligence for knowledge creation and innovation processes.
Digital Platforms & Communities
Examining how digital platforms and online communities facilitate knowledge sharing, collaboration, and innovation.
Innovation Mapping & Geography
Spatial dimensions of innovation, including geographic proximity, location-based resources, and regional innovation systems.
Intellectual Property & Copyright
The role of intellectual property rights and legal frameworks in shaping innovation, creativity, and knowledge diffusion.
Pharmaceutical & Health Innovation
Data-driven approaches to drug discovery, pharmaceutical innovation, and health research using large-scale biomedical datasets.
Funders
NIH
NOAA
Sloan Foundation
Mack Institute
Fisher Center for Business Analytics
