Danielle Goldfarb

Danielle Goldfarb is an expert on trade, real-time data, economics, and public policy. She has developed leading-edge research programs and written almost 100 policy papers for Canadian and U.S. think-tanks. Danielle is a Distinguished Fellow at the Asia Pacific Foundation of Canada, a Senior Fellow at the Centre for International Governance Innovation and the Munk School of Global Affairs and Public Policy, and a Fellow at the CSA Public Policy Centre. 

Danielle was part of the writing group for the 2025 International AI Safety Report. Her TEDx talk, “The Smartest Way to Predict the Future,” is on using new technologies to expand data coverage and improve prediction. She co-directs the Canadian Artificial Intelligence Adoption Initiative and teaches about the use of real-time data and advances in AI for global intelligence at the Munk School of Global Affairs. She also hosts the “New Tools of the Economists' Trade" series on AI and digital data applied to economic analysis for the Canadian Association of Business Economics and the Toronto Association for Business and Economics.

Danielle was previously Strategic Advisor on Public Policy to Mila–Quebec Artificial Intelligence Institute, a Global Fellow at the Woodrow Wilson Center Canada Institute, and Vice-President and Research Director at Real-Time Interactive Worldwide Intelligence where she created real-time economic and geopolitical data feeds. She also led frontier and highly-regarded research programs on digital and Canada-U.S. trade at the C.D. Howe Institute and the Conference Board of Canada. Danielle holds a master of philosophy in international relations from the University of Cambridge and a bachelor of commerce in honours economics from McGill University.