Prediction Market Research Tracker: Academic Papers by Year

561

research papers on prediction markets in 2026 to date, per OpenAlex, after filtering out datasets, code deposits and false matches: 7.3 times the 77 in 2025 and 40 in 2024.

OpenAlex, retrieved Nov 12, 2026, pulled Nov 12, 2026, 8:02 AM ET. Updated weekly.

By Arthur Angelo, PredictionScout Research · Updated Nov 12, 2026, 8:02 AM ET

561papers, 2026 to date
77papers, 2025
83in journals, 2026
1,083papers since 2015

Key findings

  • 561 papers in 2026 to date, versus 77 in 2025; from 2019 to 2024 the field produced between 28 and 49 a year.
  • Kalshi is named in the title or abstract of 100 papers in 2026 and Polymarket in 157.
  • 83 of this year’s papers are in journals and 370 on preprint servers; the rest are working-paper series and repository uploads, which are not peer reviewed.
  • The most cited recent paper is “Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams” (34 citations in OpenAlex).
  • 707 search matches were removed: 369 not a paper type (dataset, other); 241 term not confirmed in the title or available abstract; 81 duplicate; 16 data, code or protocol deposit.
Research papers on prediction markets per yearResearch papers on prediction markets per year01603204806408002019: 302020: 492021: 372022: 302023: 282024: 402025: 772026: 56120192020202120222023202420252026PaperspapersOpenAlex; PredictionScout
Papers per year naming prediction markets or a major venue in the title or abstract (2026 to date).

Papers per year

Counts are papers whose title or abstract names prediction markets or one of the main U.S. venues. 2026 is a partial year, and OpenAlex keeps adding recent work for months, so recent counts rise after publication.

YearPapersIn journalsOn preprint serversName KalshiName Polymarket
20193016500
20204928500
20213719710
20223017611
20232821300
20244024802
2025772733911
202656183370100157

Which fields are writing about it (2026)

Field is OpenAlex’s automatic classification of each paper’s main topic.

FieldPapersShare
Economics, Econometrics and Finance33560%
Decision Sciences6912%
Computer Science6712%
Social Sciences489%
Business, Management and Accounting132%
Psychology122%
Medicine41%
Nursing31%

Most cited papers, 2025–2026

Citations count fast for recent work and are low for everything published this year; they show early attention, not quality.

TitleAuthorsVenueYearCitations
Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task StreamsZewen Liu, Zhan Shi, Yisi Sang et al.arXiv (Cornell University)202634
LiveTradeBench: Seeking Real-World Alpha with Large Language ModelsYu, Haofei, Fenghai Li, Jiaxuan YouarXiv (Cornell University)202530
The Anatomy of a Blockchain Prediction Market: Polymarket in the 2024 U.S. Presidential ElectionKwok Ping Tsang, Zichao YangarXiv (Cornell University)202622
AIA Forecaster: Technical ReportRohan Alur, Bradly C. Stadie, Daniel D. Kang et al.arXiv (Cornell University)202519
PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market DataPu Cheng, Juncheng Liu, Yunshen LongarXiv (Cornell University)202617
The Anatomy of a Decentralized Prediction Market: Microstructure Evidence from the Polymarket Order BookPhilipp D. DubacharXiv (Cornell University)202613
Prediction markets as a public health threatNizan Geslevich Packin, Sharon RabinovitzScience202612
SoK: Market Microstructure for Decentralized Prediction Markets (DePMs)Rahman, Nahid, Joseph Al-Chami, Jeremy ClarkarXiv (Cornell University)202512
Prediction Arena: Benchmarking AI Models on Real-World Prediction MarketsJaden Zhang, Gardenia Liu, Oliver Johansson et al.arXiv (Cornell University)202610
Semantic Non-Fungibility and Violations of the Law of One Price in Prediction MarketsJonas Gebele, Florian MatthesarXiv (Cornell University)202610
Knowing What You Know Is Not Enough: Large Language Model Confidences Don't Align With Their ActionsArka Pal, Teo Kitanovski, Liang, Arthur et al.arXiv (Cornell University)202510
Decomposing Crowd Wisdom: Domain-Specific Calibration Dynamics in Prediction MarketsNam Anh LearXiv (Cornell University)20269

Latest in journals and working-paper series

TitleVenuePublished
Prediction markets in the United States: a youth public health perspectiveFrontiers in Adolescent MedicineNov 9, 2026
Case studiesRoutledge eBooksNov 9, 2026
Two-Way Price Discovery Between a Cryptocurrency-Based Prediction Market and Federal Funds Futures: Evidence from FOMC DecisionsMathematicsNov 6, 2026
Time Series Forecasting for Stock Price Prediction and Financial Decision-Making Using Machine Learning ModelsJournal of Research in Science Computing and EngineeringOct 31, 2026
From multi-sig to DLCs: modern oracle designs on BitcoinFrontiers in BlockchainOct 30, 2026
On the ethics of utilizing prediction markets for forecasting hydrological catastropheFrontiers in WaterOct 30, 2026
Wagering on Unfinished Experiments—Prediction Markets and Clinical Trial IntegrityJAMAOct 29, 2026
Calibrated agents as market makers: automated liquidity provision for long-tail prediction marketsDigital FinanceOct 27, 2026
Kelly-optimal portfolios in arbitrage markets: a likelihood-ratio and KL-divergence characterisationQuantitative FinanceOct 26, 2026
Jackpot Justice: Predation, Profit, and State-Corporate Crime in Online GamblingJournal of White Collar and Corporate CrimeOct 23, 2026
Forecasting the OR: How Prediction Markets Could Transform Perioperative CareASA MonitorOct 22, 2026
In Case You Haven't Heard…Alcoholism & Drug Abuse WeeklyOct 16, 2026

How this tracker works

OpenAlex is an open index of scholarly works built from publishers, preprint servers, repositories and DOIs. We search titles and abstracts for prediction markets, Kalshi, Polymarket, PredictIt, event contracts and the Iowa Electronic Markets, then remove anything that is not a paper (datasets, code, preregistrations), any record where the term does not actually appear in the title or abstract text, and duplicate versions of the same title. Each paper is labeled by where it appeared: a journal, a preprint server such as arXiv or SSRN, a working-paper series or book, or a general repository.

What moves the count

  • Market growth. Trading volume and data access on Kalshi and Polymarket gave researchers new data, much of it public through APIs.
  • Regulation and law. CFTC and state fights over sports event contracts drew legal and policy scholars.
  • Elections. Election years bring forecasting comparisons.
  • Self-publishing. Repository uploads and AI-assisted papers have grown quickly, which is why we report journals and preprints separately.
  • Indexing lag. Records arrive weeks to months after publication.

Worked example

A record titled “Data and code for: …” uploaded to a data repository matches the search because its description mentions Polymarket. It is dropped as a data deposit. A journal article on clinical-trial integrity that discusses prediction markets in its abstract is kept and counted as a journal paper in its field. An arXiv preprint and its later journal version with the same title count once.

For what the markets themselves show, see the accuracy scorecard.

Download the data

Every paper counted (OpenAlex ID, DOI, venue, field, citations) (CSV)

One row per paper counted, with OpenAlex ID and DOI. Free to reuse under CC BY 4.0 with a link back to this page.

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Methodology

  • Source. OpenAlex works API (CC0), title and abstract search for: "prediction market" OR "prediction markets" OR kalshi OR polymarket OR predictit OR "event contracts" OR "Iowa Electronic Markets", publication years 2015 onward.
  • Kept. Articles, preprints, reviews, book chapters, books, reports and dissertations where a search term appears in the title or abstract text.
  • Removed. 369 not a paper type (dataset, other); 241 term not confirmed in the title or available abstract; 81 duplicate; 16 data, code or protocol deposit.
  • Venue kind. From OpenAlex’s source type: journal; preprint server (preprint type, arXiv, SSRN); working-paper series or book; repository or other.
  • Limits. OpenAlex coverage is broad but not complete, and recent records arrive late. Title/abstract matching misses papers that study prediction markets without naming them, and some papers that only mention them in passing are counted. Matches whose abstract OpenAlex does not supply and whose title lacks a search term are dropped because they cannot be checked; most are unrelated, but a few relevant papers are lost, so counts lean low. Nothing here is investment advice. Last run: Nov 12, 2026, 8:02 AM ET.

Cite this research

Suggested citation: PredictionScout. (2026, November 12). Prediction Market Research Tracker: Academic Papers by Year. https://predictionscout.com/research/prediction-market-academic-research/

For a chart or news story: “Source: PredictionScout analysis of public exchange data (https://predictionscout.com/research/prediction-market-academic-research/)”

The data and charts on this page are free to reuse under CC BY 4.0 with a link back to this page. Data: OpenAlex (CC0).

Data sources: prices and volumes come from the public APIs of Kalshi and Polymarket. All trademarks belong to their owners. PredictionScout is independent and not affiliated with any exchange. Nothing here is investment, betting, or legal advice.

Related: Accuracy scorecard · Regulation tracker · All research