Prediction market platform Polymarket has announced the establishment of the Polymarket Institute, a dedicated research organization designed to advance scholarly understanding of how prediction markets function and what they reveal about future events. The Institute aims to build formal academic infrastructure around a field that has become increasingly influential across multiple sectors.

Prediction markets have grown into widely used tools for measuring public sentiment and evaluating probabilities in real time. Their applications now span electoral politics, international affairs, economic trends, technological developments, athletic competitions, and cultural phenomena. Journalists rely on these platforms to track shifting expectations, academics study them as experimental forecasting mechanisms, and government institutions incorporate them into broader risk assessment frameworks. The academic lineage of prediction markets extends back decades, with the University of Iowa's Iowa Electronic Markets, launched in 1988, standing as one of the longest-running platforms for research on price-based forecasting. As adoption accelerates, the sector faces mounting demand for rigorous, independent evaluation of market performance at scale, the dynamics of information propagation, and the ways structural design shapes outcomes.

The Institute plans to tackle these questions through programs supporting independent scholarship and the development of open data resources. Its research priorities include forecast accuracy evaluation, information dissemination mechanics, market microstructure, the integrity of market resolution processes, cryptographic safeguards, the intersection of artificial intelligence with market dynamics, and the application of prediction markets to electoral and macroeconomic forecasting.

Leadership and Academic Safeguards

The initiative will be led by two individuals with complementary expertise. Brian Jabarian, a faculty member at Carnegie Mellon University's Heinz College of Information Systems and Public Policy, will direct the scientific program and define its investigative priorities. Kai Brusch, who oversees data operations at Polymarket, will manage the Institute's day-to-day operations.

The organization has pledged to operate within established academic standards, with emphasis on transparency in data availability, methodological replicability, and unrestricted publication of findings. Polymarket has stated that it will not attempt to influence research conclusions or require scholars to endorse specific viewpoints on prediction markets. Fellowship participants will retain full autonomy over their research questions, study design, analytical approaches, and publication decisions. To guard against conflicts of interest, however, fellows will be prohibited from trading on Polymarket or comparable platforms for the duration of their affiliation with the program.

The independence commitments carry particular weight given Polymarket's regulatory history. In 2022, Polymarket reached a settlement with the US Commodity Futures Trading Commission, agreeing to pay a civil monetary penalty and to block users in the United States from accessing its platform. The company has since operated offshore while continuing to attract substantial trading volume, and its odds were cited widely across major media outlets during the 2024 US presidential election cycle. The creation of a research institute with academic-grade safeguards signals an effort to strengthen institutional credibility as the prediction market sector faces continued regulatory scrutiny, with CFTC-registered platforms such as Kalshi also competing in the US market.

Global Fellowship and Open Data Access

The Institute's inaugural initiative is a global fellowship program aimed at doctoral candidates whose work involves prediction markets, forecasting methodologies, information economics, or market design. Recipients will receive financial support and access to proprietary market data to conduct independent studies within the Institute's priority research domains. The program will also convene regular workshops where participants can develop research suitable for peer-reviewed publication.

Beyond the fellowship, the organization intends to broaden public access to market information through application programming interfaces covering market discovery tools, order book data, historical price series, on-chain aggregate statistics, and trading activity records. Where applicable, the Institute will publish datasets, analytical code, and replication materials in open repositories to facilitate external verification and further inquiry.

The creation of the Polymarket Institute reflects a broader effort to position prediction markets as legitimate instruments for gathering and distributing information about significant global developments. By funding independent scholarship and constructing transparent data infrastructure, the organization seeks to reinforce the scientific credibility of prediction markets as a category of information infrastructure.