While human analysts are flexible and able to apply context to their event forecasting models, machines can quickly processes vast amounts of date to make an unbiased prediction. For Raytheon BBN, a hybrid forecasting system is the best method of enhancing the predictive powers of both by providing:
“Event forecasters have struggled with the best way to combine the capabilities of human and machine analysts,” said Lance Ramshaw, Principal Investigator and Lead Scientist at Raytheon BBN Technologies. “We’re identifying the optimal combination to develop the best forecasting system possible.”
As prime contractor, Raytheon BBN will lead a specialist team that includes Lumenogic and Wright State Research Institute, which will contribute to the technology research. Subject matter expertise related to elections and opinion, military events, science, disease outbreak, conflict and leadership and macro-economics will be sourced from the American Center for Democracy, Ipsos Public Affairs, Systems and Technology Research and Tufts University.
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