Tara Sinclair

Tara Sinclair, a professor and chair at George Washington University and former U.S. Treasury official, dives into her innovative work on simulating Federal Open Market Committee (FOMC) meetings using AI. She discusses the significance of public economic data, the potential of AI in reshaping forecasting roles, and the creation of simulated FOMC personas, reflecting real committee dynamics. Insights on institutional design experiments and the implications of AI for monetary policy are also highlighted, showcasing a future where AI informs economic strategies.

Join Ben Casselman, Chief Economics Correspondent at The New York Times, and Tara Sinclair, Chair of the Economics Department at George Washington University, as they dissect the alarming revisions in U.S. job statistics. They delve into potential political interference at the Bureau of Labor Statistics, exploring how trust in economic data shapes growth and decision-making. The conversation also highlights the dangers of data manipulation, drawing parallels with economic crises in Argentina and Greece, and underscores the need for integrity in federal statistics.

Tara Sinclair, a professor at George Washington University and former Deputy Assistant Secretary for Macroeconomics, shares insights from her Treasury tenure. She discusses the urgency of real-time economic analysis, particularly during events like the March 2023 banking turmoil. Sinclair explores challenges in labor market data collection and the pandemic's impact on workforce dynamics. She emphasizes the need for evolving monetary policy strategies amid labor market changes and considers the promising role of AI in economic analysis, calling for a balance between technology and human oversight.