Call for Participation
2026 Theme: Agents, Productivity, and the Future Workforce
Submit your work on AI and collaborative innovation. We welcome both completed research and work in progress from scholars across information systems, marketing, strategy, economics, and related disciplines.
Submission Deadline: June 20th, 2026
Acceptance Notice Sent: July 14th, 2026
About the Workshop
The Workshop on AI and the Future of Collaborative Innovation (WAICI) brings together scholars from information systems, marketing, strategy, economics, and related fields to study how artificial intelligence is changing the way people, teams, and organizations create and share knowledge. We welcome rigorous empirical and theoretical research on how generative AI and AI agents affect collaboration, productivity, and innovation across firms, platforms, and institutions.
Plenary Fireside Chat with Invited Guests
How to think about publication in this brave new world?
Ravi Bapna
University of Minnesota, Carlson School
Curtis L. Carlson Chair in Business Analytics & Information Systems. Co-author of "Thrive: Maximizing Well-Being in the Age of AI" (with Anindya Ghose). Studies how AI and digital platforms reshape collaboration, innovation, and well-being, and how academic research can credibly inform industry practice.
Gordon Burtch
Boston University, Questrom School
Allen and Kelli Questrom Professor in Information Systems; also a Research Scientist at Meta. Leading expert on crowdfunding, online labor markets, the gig economy, and the impact of digital platforms and AI on online communities.
Olivia Sheng
Arizona State University, W. P. Carey School
W. P. Carey Distinguished Chair and Professor of Information Systems; Co-Director of ASU's Center for AI and Data Analytics. Past President of the INFORMS Information Systems Society and a longtime mentor to junior faculty and PhD students in IS and analytics.
Arun Sundararajan
New York University, Stern School
Harold Price Professor of Entrepreneurship and Professor of Technology, Operations, and Statistics; Director of the Fubon Center for Technology, Business and Innovation. Author of "The Sharing Economy" and a leading expert on AI governance, platform economics, and digital transformation of work.
The Applied Economist's Playbook: AI, Markets, and Policy Beyond Academia
Anindya Ghose
New York University, Stern School
Heinz Riehl Chair Professor and Director of the MS in Business Analytics program. Author of "TAP" and co-author of "Thrive" (with Ravi Bapna). Works at the intersection of academia and industry on how generative AI is transforming knowledge work, collaboration, and innovation in organizations.
Sonia Jaffe
Microsoft, Office of the Chief Economist
Principal Researcher at Microsoft. Leading expert on the economics of generative AI, studying how AI tools shape worker productivity, labor markets, and the future of knowledge work.
Beibei Li
Carnegie Mellon University, Heinz College
Professor of IT and Management. Recipient of multiple NSF grants and faculty research awards from Amazon, Google, Facebook, Adobe, and the Marketing Science Institute. Applies AI, machine learning, and econometrics to study how technological disruptions transform markets.
Future of AI and Innovation Research
Vasant Dhar
New York University, Stern School & Center for Data Science
Professor at NYU Stern and the Center for Data Science, where he was a founding faculty member. Author of Thinking with Machines and host of the Brave New World podcast. Studies trust, risk, and governance of AI in society.
Inbal Yahav
Tel Aviv University, Coller School
Professor and co-chair of the Coller Lab for AI and Business Analytics. Develops ML and NLP architectures and drives interdisciplinary research linking data science with law, public health, and policy.
Ahmed Abbasi
University of Notre Dame, Mendoza College
Joe and Jane Giovanini Professor of IT, Analytics, and Operations. Over twenty years of experience in human-centered AI, with research funded by NSF, AWS, Microsoft, eBay, and Oracle.
Program
– 12:00 PM
– 1:00 PM
– 3:15 PM
– 4:15 PM
– 5:15 PM
– 9:00 AM
– 8:55 AM
– 10:15 AM
– 10:30 AM
– 11:45 AM
– 12:45 PM
– 2:00 PM
– 2:15 PM
– 3:30 PM
– 4:00 PM
– 5:15 PM
– 5:40 PM
Workshop Organizers
Gal Oestreicher-Singer
Tel Aviv University
Vice Rector
Mexico Professor, Coller School of Management
Raveesh Mayya
New York University
Assistant Professor of Technology
Stern School of Business
Research Topics
We invite submissions on topics related to how modern AI technologies are affecting collaboration and innovation, including but not limited to:
How people and generative models co-produce ideas, content, and innovation
AI agents as teammates; intra-team dynamics; heterogeneous adoption
Real vs. perceived productivity gains; measurement of AI's effect on knowledge work
Agentic buyers/sellers, market design, and platform economics
Prompting, fine-tuning, open-source LLMs, and data/API access
GenAI in advertising, content, recommendations, and consumer interaction
Skills, careers, labor markets, and the future of work in an agentic era
Algorithmic fairness, governance, and regulatory impacts of AI
Synthetic respondents, data annotation, simulations, and AI-augmented research
Registration
Join us for this exciting workshop bringing together leading researchers and practitioners in AI and collaborative innovation. Registration includes access to all workshop sessions, networking reception, and workshop materials.
🎤 Speakers
🎓 Academics
🏢 Industry Partners
Please register with your official institutional email. In accordance with the NYU Campus Safety Office, registration does not automatically grant building access. Organizers must manually verify each participant's affiliation and add them to the NYU JRNY building-access system. That access email may arrive closer to the event, so thank you for your patience.