13th ECB Conference on Forecasting Techniques - Call for papers

The conference aims to discuss recent research on the use of AI algorithms for economic analysis. 

We encourage submissions of papers on the following topics:

•  AI, machine learning and time series methods for forecasting and risk analysis.
• The use of generative AI in the assessment of uncertainty and economic sentiment.
• Causal analysis based on AI methods: Assessing the drivers of economic fluctuations.
• AI and machine learning methods to develop, solve or estimate structural macroeconomic models.
• Robust forecasting in the presence of nonlinearities and structural breaks.
• Assessing the impact of climate change and its economic consequences.

The scope of the conference is not strictly limited to the topics listed above, and submissions from all areas of macro- and micro-econometrics are welcome.

Invited speakers

Stephen Hansen (University College London), Barbara Rossi (European University Institute) 

Manuscripts should be submitted in PDF format to https://editorialexpress.com/conference/CFT2026/ by 15 December 2025. The authors of accepted papers will be notified by 15 January 2026. Notifications will be sent to the authors of accepted papers only.

Scientific committee

Agostino Consolo, Elmar Mertens, Friderike Kuik, Gerhard Rünstler, Lorena Saiz, Marta Banbura, Michele Lenza, Niccolò Battistini (all from European Central Bank)