Contact Us

We welcome inquiries from researchers, students, policymakers, and industry partners interested in collaborating or learning more about our work on AI and data innovation.

UC Berkeley Location

Haas School of Business

Abhishek Nagaraj
2220 Piedmont Ave, F565
Berkeley, CA 94720-1900
(510) 644-7746
nagaraj@berkeley.edu

University of Pennsylvania Location

Wharton School

Matteo Tranchero
The Wharton School
Philadelphia, PA 19104
mtranc@wharton.upenn.edu

General Inquiries

For general inquiries about the lab, collaboration opportunities, or research partnerships:

data-innovation-lab@berkeley.edu

Research Collaboration

We are always interested in collaborating with researchers who share our passion for understanding the economic implications of AI and big data technologies. Areas of particular interest include:

Academic Partnerships

Joint research projects, visiting scholar arrangements, and conference collaborations with economists, computer scientists, and business researchers.

Industry Partnerships

Research partnerships with technology companies, consulting firms, and organizations implementing AI and data-driven innovations.

Policy Research

Collaboration with policymakers, think tanks, and government agencies on research informing AI and data policy decisions.

Opportunities for Students

We are always looking for talented researchers, students, and collaborators who share our passion for understanding the economic implications of AI and big data technologies. If you are interested in joining our team or collaborating with us, we encourage you to reach out.

PhD Students

We work with PhD students in economics, business, computer science, and related fields. Strong quantitative skills and interest in interdisciplinary research are essential. Interested students should apply to the PhD programs at UC Berkeley Haas School of Business or University of Pennsylvania Wharton School.

Pre-Doctoral Fellows

Our pre-doctoral fellowship program provides research experience for recent graduates considering PhD studies in economics or business. We have placements at top institutions including MIT, Stanford, London Business School, and more.

Research Assistants

We offer research assistant positions for undergraduate and master's students interested in gaining experience in economic research and data analysis.

Collaboration Opportunities

We actively collaborate with researchers from economics, computer science, management, and related fields. We also work with industry partners and policy organizations on applied research projects.

Media and Press

For media inquiries, interviews, or requests for expert commentary on AI, data, and innovation policy, please contact:

Media Contact: zmfong@berkeley.edu