"This challenge will challenge some of the world's brightest innovators to address the immediate threats to our economies and livelihoods. Through global collaboration, the outcome of this award could make a difference in the use of data and AI to lead the way through a range of economic scenarios created by the competing teams. With vaccines on the horizon, these predictive and prescriptive models for opening up society will continue to be useful in the near future".Brian Humphries, CEO of Cognizant said:
"The way forward to reopening the world's economies will be based on collaboration. We are pleased to partner with XPRIZE to bring together a global and interdisciplinary ecosystem of innovators to leverage their AI expertise to help us emerge from this pandemic. As these teams build on Cognizant's Evolutionary AI basic research ™, we look forward to the solutions they will provide to help decision-makers deal with COVID-19 and future humanitarian crises".The Pandemic Response Challenge is the first competition launched as part of the collaboration between XPRIZE's AI and Data for Good, a community of volunteer data scientists, developers and designers using their skills to solve global challenges through the use of data, machine learning and AI. Chaesub Lee, Director of ITU's Telecommunication Standardization Bureau, explained :
"COVID-19 highlighted the importance of AI's ability to predict impending epidemics and accurately diagnose symptoms. The potential of AI to advance health is a long-standing pillar of the AI for Good movement co-organized with XPRIZE. In response to this critical issue, I am pleased to continue our valuable partnership and support this challenge in response to the pandemic".A $500,000 award will be presented at the end of the competition in February 2021. Unlike other XPRIZE competitions, the urgency to end the devastating effects of the COVID-19 pandemic led Cognizant and XPRIZE to introduce an accelerated four-month timeline for the challenge. Teams must register to join the competition by December 8, 2020. During Phase 1, the teams will provide accurate predictions of VIDOC-19 transmission based on local data, unique response strategies and mitigation policies and practices by December 22, 2020. In Phase 2, the top 50 teams will provide prescriptive models that will be evaluated in terms of minimizing the number of cases and minimizing the rigour (i.e. cost) of response plans (RPPs). Phase 2 will be completed in February 2021. Throughout each phase, the teams will benefit from cloud computing and computing services, provided by the support partner, AWS, to facilitate the development of their solutions. To date, 92 teams from 21 countries have registered to participate. Together with partners such as the Blavatnik School of Government at Oxford University, Intel, the International Telecommunication Union (ITU), the City of Los Angeles, the University of Texas at Austin, WorldQuant Predictive, Alpha Intelligence Capital and AIQ, XPRIZE has recruited the following global experts to join the Pandemic Response Challenge Advisory Board:
- Philipp Roesler, former Vice-Chancellor and Federal Minister of Economics and Technology of Germany
- Toby Phillips, Head of Research and Policy, Digital Pathways at Oxford; Executive Director, Oxford COVID-19 Government Response Tracker
- Jeanne Holm, Deputy Mayor of Budget and Innovation, City of Los Angeles
- Stacey Shulman, Vice President, Internet of Things Group, Intel Corporation; Chief Innovation Officer - Retail, Banking, Hospitality, & Education, Intel Corporation
- Lauren Meyers, Professor, Departments of Integrative Biology and Statistics and Data Science, Director, UT COVID-19 Modeling Consortium
- Melissa Rowe, Vice President, Global Research Talent, RAND Corporation; Affiliate Faculty, Pardee RAND Graduate School
- Dr. Paulo Chapchap, CEO, Hospital Sírio-Lebanês
- Mariya Filipova, Innovation Ambassador, Anthem, Inc.
- Thor Aspelund, Professor, Epidemiology and Biostatistics, University of Iceland
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