PREMIA

«PREMIA – A Prediction Market with Integrated Algorithms» is an open environment for the research community in Zurich to forecast socially relevant phenomena.

Prediction markets are virtual stock markets, which use the information contained in market values to make forecasts. By today, these market platforms exclusively rely on the implicit knowledge of groups of humans either in the form of large crowds or expert panels. Hence, this project aims to develop and implement a prediction market with integrated trading algorithms that combines human expertise with artificial intelligence and apply it to a broad range of research questions.

Here you can find a short interview about the project.

Project duration: 01.09.2022 - 30.06.2024

Contact: Prof. Dr. Carolin Strobl

Project Team

Prof. Dr. Oliver Strijbis

Oliver Strijbis is an Associate Professor of Political Science at Franklin University Switzerland. Before joining Franklin University, he was an SNSF Professor at the University of Zurich. In his research, Strijbis focuses on elections and direct democratic votes, migration and nationalism, comparative methods and prediction markets.

Prof. Dr. Carolin Strobl

Carolin Strobl is Professor for Psychological Methods, head of the statistical consulting unit of the Department of Psychology and steering committee member of the Center for Reproducible Science. Her research focuses on Item Response Theory and Machine Learning.

Prof. Dr. Marc Wildi

Marc Wildi is Professor of Econometrics at the Zurich University of Applied Sciences. His research interests are about forecasting, real-time signal extraction, business-cycle analysis, algorithmic trading and risk management. His recent work emphasizes hybrid approaches (mixing real-time filter designs and generic trading concepts) as well as explainability (XAI) of computationally intensive approaches (NN) in the context of longitudinal data (time series).