News from the frontier of AI forecasting
FORAXION, the company behind The Forecasting Machine, pushes the limits of actionable foresight.
Results for “Public health”
What 15 months of crowd forecasting taught Johns Hopkins about disease outbreaks
A study by the Johns Hopkins Center for Health Security and Hypermind, published in November 2021, followed 562 forecasters through 61 questions on 19 diseases. The combined crowd forecast was well calibrated, beat chance by a wide margin and outscored every individual, including the public-health experts.
Crowd forecasts of COVID-19 reach the US Congress, March 2020
On 5 March 2020, Johns Hopkins researcher Tara Kirk Sell told a House committee about a disease-prediction platform built with Hypermind. In the weeks that followed, Hypermind published public COVID-19 forecasts and co-ran a teaching contest, and Émile Servan-Schreiber argued for a French prediction market on health policy.

