Polymarket has unveiled a new research institute aimed at investigating how prediction markets can improve forecasting accuracy and information discovery. The move comes as the crypto-native platform seeks to build academic credibility and deepen understanding of event markets beyond traditional polling methods.
The Polymarket Institute will be independently run though fully funded by the platform. Its goal is to provide resources and infrastructure for large-scale academic research into whether prediction markets can outperform conventional prediction systems in areas like elections, sports outcomes, and monetary policy. This step reflects the recent surge in popularity for prediction platforms such as Polymarket and Kalshi.
Building Academic Rigor Around Prediction Markets
Kai Brusch, Polymarket’s head of data, will lead the institute as managing director, while Brian Jabarian, a professor at Carnegie Mellon University specializing in economics and technology, takes on the role of scientific director without compensation. The institute will launch the Polymarket Science Fellowship, a year-long program supporting twelve doctoral candidates with $10,000 grants each. Starting August 18, fellows will get into research on market design, information economics, and the interaction of prediction markets with emerging technologies like AI.
Researchers will gain access to Polymarket’s data and participate remotely or at workshops in New York. To ensure unbiased results, fellows must refrain from trading on Polymarket or similar platforms during their tenure and commit to open publication of methodologies and code. The institute follows a university gift model, allowing full academic freedom including the publication of findings that may not favor Polymarket.
This initiative may shift how forecasting operates across sectors by rigorously testing prediction markets’ ability to price uncertainty and aggregate dispersed information. The approach aligns with broader trends in crypto and finance where data transparency and independent research are becoming key competitive advantages.
This material is for informational purposes and does not constitute financial advice.



