Call for Papers for Workshop in AI+Economics at ETH Zurich - October 14, 2022

Technological developments in artificial intelligence, as well as the availability of big data are transforming our economies by affecting decision-making both in the private and public sectors. Researchers in economics and other social sciences have also recently discovered the usefulness of applying machine learning methods, or mixing their use with more traditional causal inference tools, to address old and new research questions.

The Workshop in AI+Economics aims at bringing together researchers from economics and computer science interested in the development or application of AI methods in economics, and the application of economic analysis to AI technology. We encourage submission of works using machine learning, natural language processing, algorithmic fairness, econometrics, as well as causal inference methods to high-dimensional datasets. The goal of the workshop is to provide diverse feedback and support for projects at all stages.

The workshop will be held at ETH Zurich on October 14, 2022. The workshop is co-located with the AI Policy Summit on October 14 and the ETH AI Center’s AI+X Summit on October 14 & 15. We are happy to host keynote talks on AI-for-policy research by external page Josh Blumenstock (Berkeley) and external page Daniel Björkegren (Brown University).

The event is planned to be mainly in-person at ETH Zurich, though there will be the possibility of remote participation via Zoom. Some funding is available for travel and accommodation expenses, especially for junior scholars.

Submit papers or extended abstracts external page here.
The deadline for submission is July 15, 2022.

Questions can be addressed to Sergio Galletta at or Elliott Ash at .

Please feel welcome to circulate this notice to potentially interested colleagues.