Welcome and Introduction: Jonathan Timmis, World Bank
Keynote Address
· Raffaella Sadun, Harvard Business School, “Management and Reskilling in the Age of AI”
Moderated by Tim DeStefano, Georgetown University
Welcome and Introduction: Jonathan Timmis, World Bank
Keynote Address
· Raffaella Sadun, Harvard Business School, “Management and Reskilling in the Age of AI”
Moderated by Tim DeStefano, Georgetown University
Session A: AI and Skills | Academic Presentations and Discussion
· Ruyu Chen, Stanford University, “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence”
· Shantanu Khanna, Northeastern University, “The Effects of Artificial Intelligence on Jobs: Evidence from an AI Subsidy Program”
· Naomi Hausman, The Hebrew University of Jerusalem, “Generative AI’s Impact on Student Achievement and Implications for Worker Productivity”
Moderated by Shu Yu, World Bank
Session A: AI and Skills | Panel Discussion: How can people learn to work with AI?
· Maria Barron, EdTech Co-Lead, World Bank
· Timothy Spittle, Data Science Manager, Analysis Group
· Tianchong Wang, Senior Lecturer in STEM in Innovative Education Futures, Flinders University
Moderated by Rafaella Sadun, Harvard Business School
Session B: AI and Data | Academic Presentations and Discussions
· Chiara Farronato, Harvard Business School, “Data as the New Oil: Parallels, Challenges, and Regulatory Implication”
· Neil Thompson, MIT, “Meek Models Shall Inherit the Earth”
· Laura Brandimarte, University of Arizona, “Privacy Concerns and Willingness to Adopt AI Products: A Cross-Country Randomized Survey Experiment”
Moderated by Tim DeStefano, Georgetown University
Session B: AI and Data | Panel Discussion: Does it matter where, when or who develops AI models?
· Frank Nagle, Advising Chief Economist, Linux Foundation and MIT
· Jessie Wang, Economist and Professor of Policy Analysis, RAND School of Public Policy
Moderated by Scott Wallsten, Technology Policy Institute
Session C: AI and Reorganization | Academic Presentations and Discussions
· Chiara Criscuolo, World Bank Group, “AI Diffusion within Multinationals”
· Eduard Talamàs, IESE Business School, “Transformative AI and Firms”
· Maggie Chen, George Washington University, "Automation without Borders: The Impacts of Generative AI on International Service Outsourcing"
Moderated by Elwyn Davies, World Bank
Session C: AI and Reorganization | Panel Discussion: What will future firms look like? How can policy help firms adapt to AI?
· Josh Ainsley, Head of Data Science, New Balance
· Ming-Hui Huang, Distinguished University Chair Professor, National Taiwan University
· Joe Kwon, Centre for the Governance of AI
· Doug Levin, Executive Fellow, Harvard Business School
Moderated by Sam Ransbotham, Boston College
Closing Remarks: John Mayo, Georgetown University
January 26th, 2026 |
|
8:30-9:00 AM |
Coffee and Registration |
9:00-9:05 AM |
Welcome and Introduction: Jonathan Timmis, World Bank |
9:05-10:00 AM |
Keynote Address · Raffaella Sadun, Harvard Business School, “Management and Reskilling in the Age of AI” Moderated by Tim DeStefano, Georgetown University |
Session A: AI and Skills |
|
10:00-11:00 AM |
Academic Presentations and Discussions · Ruyu Chen, Stanford University, “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence” · Shantanu Khanna, Northeastern University, “The Effects of Artificial Intelligence on Jobs: Evidence from an AI Subsidy Program” · Naomi Hausman, The Hebrew University of Jerusalem, “Generative AI’s Impact on Student Achievement and Implications for Worker Productivity” Moderated by Shu Yu, World Bank |
11:00-11:20 AM |
Coffee Break |
11:20-12:10 PM |
Panel Discussion: How can people learn to work with AI? · Maria Barron, EdTech Co-Lead, World Bank · Joleen Liang, CEO, Squirrel AI North America · Timothy Spittle, Data Science Manager, Analysis Group · Tianchong Wang, Senior Lecturer in STEM in Innovative Education Futures, Flinders University Moderated by Rafaella Sadun, Harvard Business School |
12:10-1:10 PM |
Lunch |
Session B: AI and Data |
|
1:10- 2:10 PM |
Academic Presentations and Discussions · Chiara Farronato, Harvard Business School, “Data as the New Oil: Parallels, Challenges, and Regulatory Implication” · Neil Thompson, MIT, “Meek Models Shall Inherit the Earth” · Laura Brandimarte, University of Arizona, “Privacy Concerns and Willingness to Adopt AI Products: A Cross-Country Randomized Survey Experiment” Moderated by Tim DeStefano, Georgetown University |
2:10-3:00 PM
|
Panel Discussion: Does it matter where, when or who develops AI models? · Frank Nagle, Advising Chief Economist, Linux Foundation and MIT · Nozomi Nakajima, Research Scientist, Boston Dynamics AI Institute · Jessie Wang, Economist and Professor of Policy Analysis, RAND School of Public Policy Moderated by Scott Wallsten, Technology Policy Institute |
3:00-3:20 PM |
Coffee Break |
Session C: AI and Reorganization |
|
3:20-4:20 PM
|
Academic Presentations and Discussions · Chiara Criscuolo, World Bank Group, “AI Diffusion within Multinationals” · Eduard Talamàs, IESE Business School, “Transformative AI and Firms” · Maggie Chen, George Washington University, "Automation without Borders: The Impacts of Generative AI on International Service Outsourcing" Moderated by Elwyn Davies, World Bank |
4:20-5:10 PM
|
Panel Discussion: What will future firms look like? How can policy help firms adapt to AI? · Josh Ainsley, Head of Data Science, New Balance · Ming-Hui Huang, Distinguished University Chair Professor, National Taiwan University · Joe Kwon, Centre for the Governance of AI · Doug Levin, Executive Fellow, Harvard Business School Moderated by Sam Ransbotham, Boston College |
5:10-5:15 PM |
Closing Remarks: John Mayo, Georgetown University |
Date: January 26, 2026
Time: 09:00 AM - 05:15 PM ET
Location: Online: Zoom