13th ECB Conference on Forecasting Techniques
Artificial intelligence in economic narratives, forecasting and risk assessment
23 and 24 March 2026, Frankfurt am Main
This biennial conference provides a forum for new theoretical and applied work on forecasting with an aim to put new insights into practice. Under the title “Artificial intelligence in economic narratives, forecasting and risk assessments”, the forthcoming edition focuses on the use of AI algorithms for economic analysis, exploring how these methods are transforming the way economists understand and interpret economic phenomena.
One session of the conference is co-organized with the Financial Transaction "Big Data" Global Research Network (FTGRN). As artificial intelligence and machine learning techniques rapidly evolve, they offer unprecedented opportunities to analyse complex economic relationships, detect patterns in high-dimensional data, and uncover structural dynamics that traditional methods may overlook. The conference aims to address both the potential and the challenges of AI-driven economic analysis in an environment characterized by high economic, financial, and political risks.
The conference will be held onsite, and there will be a live stream for passive participation online.
Invited speakers
Stephen Hansen (University College London) and Barbara Rossi (European University Institute) have already confirmed their participation as keynote speakers.
Scientific committee
Marta Banbura, Nicolo Battistini, Agostino Consolo, Michele Lenza , Friderike Kuik, Elmar Mertens, Gerhard Rünstler, Lorena Saiz (all ECB) and Alvar Ortiz Vidal-Abarca (Financial Transaction "Big Data" Global Research Network)