ECONDAT 2026 Spring meeting - Economics with Nontraditional Data and Analytical Tools

Mise en ligne le 16 Janvier 2026

The rapid evolution of generative artificial intelligence (gen-AI), the expanding availability of unconventional and high-frequency data, and advances in machine learning continue to reshape opportunities and challenges in the economy. New AI systems and a rising attention to automation foster the demand for better evaluation of both their usefulness as tools and their impact on the economy.

The ECONDAT 2026 Spring Meeting invites researchers, practitioners, and policymakers from all related fields to explore these themes. This event continues the ECONDAT Program’ effort to bring together an interdisciplinary community to foster innovative research and informs better decision-making in both academic and policy environments. The event is organized by Banque de France, Bank of England, European Central Bank, and CEBRA.

Organisateurs

Tunrayo Adeleke-Larodo (Bank of England)
Andy Blake (Bank of England)
Jean-Charles Bricongne (Banque de France)
Dragos Gorduza (Bank of England)
Andreas Joseph (Bank of England)
Michele Lenza (European Central Bank)
Chiara Osbat (European Central Bank)
Livia Silva Paranhos (Bank of England)

Télécharger l'intégralité de la publication

ECONDAT 2026 Spring meeting - Economics with Nontraditional Data and A... (PDF - 386.3 Ko)