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

We’re bringing the world together to use AI to make better decisions faster

We’re bringing the world together to use AI to make better decisions faster

Artificial intelligence has the power to overcome many difficult challenges, including once-in-a-generation pandemics.

The Pandemic Response Challenge has selected 48 finalist teams from 17 countries. Teams competing in Phase 2 will develop artificial intelligence-driven models to prescribe actions for safely reopening society and limiting economic impact while minimizing COVID-19 transmissions.
Cognizant and XPRIZE launched the Pandemic Response Challenge to address COVID-19
Together, we’ve invited the world’s greatest AI minds to find innovative ways to reopen societies and restart economies, using an AI model capable of generating data-driven, actionable plans. It’s our way of bringing the world together to use AI to make better decisions faster—and instill a sense of hope when humanity needs it.
To get a better idea of what this incredible AI model can do, choose the Country/Region, select the Forecast Options and use the AI Prescriptor’s slider below to see how increasing or decreasing restrictions affect the number of cases.
Learn more about the challenge: how to make better, faster decisions.

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).