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Please visit the COVID-19 response page for resources and advice on managing through the crisis today and beyond.

AI for good: XPRIZE Pandemic Response Challenge winners

AI for good: XPRIZE Pandemic Response Challenge winners


The story of how humans and Evolutionary AI joined forces to take on one of the greatest challenges of a generation—COVID-19.

Launched by XPRIZE and Cognizant, this four-month global competition featured 104 teams from 28 countries building on our Evolutionary AI model to help facilitate critical decision-making to reopen the world’s economies and societies, safer and faster. The collaborative nature of this competition made it a powerful example of using AI for Good.

Learn more about the technical information behind the challenge.

To get a better idea of how our AI model works, move the Predictor sliders below and see how increasing or decreasing restrictions affects the number of cases.

What AI-driven decision making looks like

The Evolutionary Surrogate-Assisted Prescription (ESP) system learned to make recommendations about the spread of COVID-19. ESP’s two learning tasks include: learning to predict and using the predictor as a surrogate for the real world to prescribe actions that lead to desirable outcomes.
The historical COVID-19 data comes from the publicly available COVID-19 data provided by Oxford University (Hale, Webster, Petherick, Phillips, Kira, 2020, Oxford COVID-19 Government Response Tracker, Blavatnik School of Government, Oxford University).