Stéphane Bortzmeyer"a four-year, multi-million dollar IARPA grant to develop a human-machine hybrid forecasting system.
The goal is to produce more accurate forecasts of worldwide socio-economic and geopolitical issues, such as disease outbreaks, stock market fluctuations, elections, and interstate conflict."
USC ISI Leads IARPA Contract for developing Hybrid Forecasting Systems
A research team led by the Information Sciences Institute (ISI) at the University of Southern California's Viterbi School of Engineering has received a four-year, multi-million dollar IARPA grant to develop a human-machine hybrid forecasting system.