The numbers come first. In July 2026, Polymarket averaged 586,000 monthly active users, according to blockchain data provider Token Terminal. That user base is now backing something beyond trading: on Wednesday, Polymarket announced the Polymarket Institute, a dedicated research body designed to measure how prediction markets forecast and discover information at scale.
The institute will be led by Kai Brusch, Polymarket's head of data, as managing director. Brian Jabarian, an assistant professor in economics and technology at Carnegie Mellon University, will serve as scientific director. Jabarian will not receive personal compensation for the role — a structural choice intended to insulate the work from conflicts of interest.
Polymarket will fully fund the initiative, though it declined to disclose the total investment. The primary vehicle for that funding is the Polymarket Science Fellowship, a one-year program targeting doctoral researchers in information economics, market design, forecasting, and prediction markets. Its first cohort will include 12 fellows, each receiving a one-time $10,000 grant. Formal applications open August 18 via a dedicated website. Workshops will be hosted in New York, with remote participation available.
The integrity architecture is deliberate. All researchers must sign a legal agreement barring them from trading on Polymarket or any comparable platform during their tenure. They are also required to publish their findings alongside GitHub repositories containing their code and methods. Critically, each fellow retains the unconditional right to publish in any journal — even if the results reflect poorly on Polymarket.
'If they find some results that are not great for Polymarket in some way, we don't really care,' Jabarian said. 'The fact that you create an institute shows that you are committed more to the process than the outcome.'
Funding flows through a university gift model rather than sponsored research — a legal distinction Jabarian called critical, because a gift ensures Polymarket retains no editorial influence or jurisdiction over results.
The announcement arrives as Polymarket and its chief rival, Kalshi, increasingly challenge the polling and survey industry. The Wall Street Journal and Yahoo Finance have both partnered with Polymarket to feature its odds in their coverage, signaling that institutional media already treats prediction market data as a legitimate signal alongside traditional projection models.
CEO Times reads this as a textbook case of private capital doing what the administrative state rarely manages: funding genuine inquiry with structural safeguards, then getting out of the way. The university gift model, the no-trading pledge, the open-code requirement — these are market-designed accountability mechanisms, not regulatory mandates. If prediction markets genuinely aggregate information more efficiently than polls, the research will say so. If they don't, the research will say that too. Either outcome serves free enterprise better than a government-commissioned study ever could. Capital rewards clear rules, and the Polymarket Institute just wrote its own.
