8th Conference on Nontraditional Data, Machine Learning, and Natural Language Processing in Macroeconomics (ECONDAT 2026 Fall Meeting) : 日本銀行 Bank of Japan
The Bank of Japan will host the ECONDAT 2026 Fall Meeting in Tokyo, bringing together central banks and institutions to discuss macroeconomic research using nontraditional data and AI techniques.
The Bank of Japan announced it will host the eighth ECONDAT conference on October 5-6, 2026, at its headquarters in Tokyo. The event focuses on advancing research in macroeconomics and financial economics through data science, nontraditional data, and artificial intelligence methods. Organizers include the Bank of Japan alongside Banca d'Italia, the Federal Reserve Board, Sveriges Riksbank, the Bank of Canada, and the Central Bank Research Association (CEBRA).
The conference is part of the Economics with Nontraditional Data and Analytical Tools (ECONDAT) Program, which aims to foster collaboration among central banks and academic institutions. Sessions will cover the application of machine learning and natural language processing to economic analysis and policy-making. Participation is expected from researchers, policymakers, and data scientists globally.
The ECONDAT 2026 Fall Meeting seeks to highlight innovative approaches to economic modeling and forecasting using alternative data sources. Topics may include the use of high-frequency data, satellite imagery, and text analysis to improve macroeconomic assessments. The event provides a platform for sharing cutting-edge methodologies and empirical findings.
The Bank of Japan emphasized the growing importance of integrating advanced analytical tools into economic research and policy evaluation. The conference underscores the institution’s commitment to leveraging technology for better economic insights and decision-making. Registration details and the full program will be announced closer to the event date.