Poster - Prediction Markets vs ML Models in Forecasting NBA Games
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Hi everyone! My name is Anna and I'm part of the 2026 Laidlaw Scholars cohort at Trinity College Dublin, where I study Mathematics with a minor in Statistics.
For my research project, I'll be exploring a question that is becoming more important as AI develops: who is better at predicting the future, humans or algorithms? I'll be comparing forecasts from machine learning models with those from prediction markets, where collective human judgement is turned into live probabilities. After the 2024 US elections, prediction markets rapidly gained attention for correctly predicting the outcome before many traditional forecasts. At the same time, AI is making data-driven forecasting more powerful than ever. Through quantitative analysis, I'm curious to see whether the best predictions come from human insight, algorithmic pattern recognition, or perhaps a combination of both.
More broadly, I am interested in using mathematics to better understand and solve real-world problems like this one. I'm especially drawn to the way it combines logic with creativity, allowing us to approach challenges from different angles and develop efficient and innovative solutions.
Outside of academics, I'm also a huge music lover, from hip hop and rock to hard techno. For me, a good time almost always involves music, dancing, or both :)
Feel free to reach out if you want to discuss research, share music recommendations, or simply chat!
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