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The Trinity Challenge - 2021 call

Closing date: 
Thursday, 15 April 2021

How can data and analytics be used to better identify, respond to, and recover from global health emergencies?

The Challenge’s inaugural round will comprise a total Prize Fund of up to £10M. Across the Challenge Areas (Identify, Respond, Recover), The Trinity Challenge seeks to identify a transformative solution to win a grand prize award of up to £2M. The remaining funds will be allocated to further winning submissions, for up to £1M per solution. At least one award per Challenge Area is expected.

Solutions can focus on COVID-19 but should also be applicable for future health emergencies. Solutions should encourage collaboration of individuals, organizations, institutions, and/or governments. Successful solutions should also demonstrate reasonable potential to achieve measurable impact within the next three years and provide a public good that is globally accessible under fair, reasonable and non-discriminatory terms.

 

We need bold thinking, meaningful collaboration, and committed action to better prepare for the next global health emergency. The Trinity Challenge seeks solutions that use data and analytics to better:

  • Identify: determine and limit diseases and the risks they pose to communities
  • Respond: decrease transmission and spread by identifying measures that are effective, equitable, and affordable 
  • Recover: improve the resilience of health and economic systems, and address the disproportionate impacts of outbreaks and pandemics, particularly on vulnerable groups

Solutions might respond to the Challenge by:

  • Enabling public health professionals to predict outbreaks through early warning systems 
  • Supporting governments and multilateral organizations to coordinate evidence-based rapid response plans to the health, social, and economic impacts of health emergencies
  • Empowering individuals to avoid exposure and lessen transmission 
  • Countering misinformation and convey accurate and trusted messages to the public
  • Building supply chain visibility and streamline flows of medical products, especially to disconnected communities
  • Facilitating multidisciplinary coordination among practitioners and academics working on the economic, behavioral, and emotional implications of global health emergencies

 

Examples of solutions already submitted are available to read on the MIT Solve website

 

Full submission details on the MIT Solve website

 

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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