Background
Ph.D | University of Durham
MMath | University of Durham
Research Interests
My research involves the identification and quantification of patterns in past data that allow us to predict future data. The general strategy is to work with domain experts to solve a problem that interests them. We publish the findings we make and the tools we develop along the way so that other people can use them to solve their own problems.
Ben’s Group Publications
Modelling bookings in association football
Jess Hargreaves, Ben Powell
Proceedings of MathSport International 2022 Conference, 34-44 (2022)
Generalizing the Elo rating system for multiplayer games and races: why endurance is better than speed
Ben Powell
Journal of Quantitative Analysis in Sports, 3, 223-243 (2023)
Skew-adjusted extremized-mean: A simple method for identifying and learning from contrarian minorities in groups of forecasters
Ben Powell, Ville A Satopää, Niall MacKay, Philip E Tetlock
Decision, 1, 173-193 (2024)
Kairosis: A method for dynamical probability forecast aggregation informed by Bayesian change-point detection
Zane Hassoun, Niall MacKay, Ben Powell
International journal of forecasting, 1, 112-125 (2025)
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