8th Conference on Nontraditional Data, Machine Learning, and Natural Language Processing in Macroeconomics (ECONDAT 2026 Fall Meeting)
October 2026
Research and Statistics Department
Bank of Japan
The 8th Conference on Nontraditional Data, Machine Learning, and Natural Language Processing in Macroeconomics (ECONDAT 2026 Fall Meeting) is held on October 5-6, 2026, at the Bank of Japan in Tokyo. This year's conference is organized by the Bank of Japan and co-organized with Banca d'Italia, the Federal Reserve Board, Sveriges Riksbank, the Bank of Canada, and the Central Bank Research Association (CEBRA) as part of the Economics with Nontraditional Data and Analytical Tools (ECONDAT) Program.
The conference aims to promote discussion and dissemination of research in macroeconomics and financial economics with a focus on data science, nontraditional data, and artificial intelligence techniques, including machine learning and natural language processing.
Date
October 5-6, 2026
Place
The Bank of Japan's Head Office
Program
Day1: October 5, 2026
| Time | Program |
|---|---|
| 9:05 - 9:15 |
Opening Remarks |
| 9:15 - 10:15 |
Keynote Speech |
| 10:15 - 10:45 |
Break |
| 10:45 - 12:15 |
Session 1: Measuring Sentiments and Expectations through LLMs Moderator: Christopher Kurz, Board of Governors of the Federal Reserve System Firm-Level Input Price Changes and Their Effects: A Deep Learning Approach Presenter: Indrajit Mitra, Federal Reserve Bank of Atlanta Discussant: Kelsey O'Flaherty, Board of Governors of the Federal Reserve System Parsing the Pulse: Decomposing Macroeconomic Sentiment with LLMs Presenter: Taejin Park, Bank for International Settlements Discussant: Elliot Beck, Swiss National Bank The Effect of Narratives Extracted from Financial Reports on Firm Behavior: An Approach Using Large Language Models Presenter: Shunichi Yoneyama, Bank of Japan Discussant: Mikael Juselius, Bank for International Settlements |
| 12:15 - 13:45 |
Lunch and Keynote Speech RESET Demonstration Project: Early Results and Long-term Aims Speaker: Matthew Shapiro, University of Michigan Moderator: Christopher Kurz, Board of Governors of the Federal Reserve System |
| 14:00 - 15:30 |
Session 2: New Evidence from Large and Granular Data Moderator: Xin Zhang, Sveriges Riksbank Do Vibes Predict Recessions? Evidence from a Big-Data Forecasting Framework Presenter: Daniel Wilson, Federal Reserve Bank of San Francisco Discussant: Beomseok Seo, Sookmyung Women's University Gauging Hourly Economic Activity in Your Neighborhood Presenter: Fabrizio Ghezzi, University of California San Diego Discussant: Minchul Shin, Federal Reserve Bank of Philadelphia Inventor Mobility, Knowledge Diffusion, and Growth Presenter: Toshitaka Maruyama, Bank of Japan Discussant: Yoonsoo Lee, Seoul National University |
| 15:30 - 15:50 |
Break |
| 15:50 - 16:50 |
Session 3: Lightning Session Moderator: Ricardo Correa, Board of Governors of the Federal Reserve System Quantifying Minsky Cycles Presenter: Kim Ristolainen, University of Turku Central Bank Communications That Reach the Public Presenter: Eric Tong, Bank of England Mind the Stance Gap: State-Dependent Filtering in Federal Reserve Communication Presenter: Alev Atak, Middle East Technical University |
| 16:50 - 17:00 |
Break |
| 17:00 - 17:45 |
Session 3: Lightning Session (continued) Moderator: David Rapach, Federal Reserve Bank of Atlanta Simulating Analysts Forecast Behavior using LLMs Presenter: Seohyun Lee, KDI School of Public Policy and Management Beyond Econometrics? Evaluating Time Series Foundation Models for Macroeconomic Forecasting Presenter: Giuseppe Bruno, Bank of Italy |
| 18:00 - 20:00 |
Reception and Dinner |
Day2: October 6, 2026
| Time | Program |
|---|---|
| 9:00 - 10:30 |
Session 4: Economic Implications of AI Adoption Moderator: Tomohiro Sugo, Bank of Japan Do AI Trading Agents Herd? Experimental Evidence and Financial Stability Implications Presenter: Seung Jung Lee, Board of Governors of the Federal Reserve System Discussant: Kartik Anand, Deutsche Bundesbank AI Adoption and Labor Market Responses: Cross-Country Evidence from Job Postings Presenter: Koji Takahashi, Seikei University Discussant: Paul Soto, Board of Governors of the Federal Reserve System Artificial Intelligence and New Trade-Offs for Central Banks Presenter: Maryam Haghighi, Bank of Canada Discussant: Kosuke Aoki, University of Tokyo |
| 10:30 - 11:00 |
Break |
| 11:00 - 12:15 |
Panel Discussion Moderator: Tomohiro Sugo, Bank of Japan Panelists: John J. Horton, Massachusetts Institute of Technology Ren Ito, Sakana AI Vatsala Shreeti, Bank for International Settlements |
| 12:15 - 12:25 |
Concluding Remarks Kenji Suwazono, Executive Director, Bank of Japan |
| 12:25 - 13:25 |
Lunch |
Inquiries
Research and Statistics Department
E-mail : post.rsd18@boj.or.jp