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Amazon Research Awards issues winter 2022 call for proposals

Closing date: 
Friday, 21 January 2022

The winter 2022 call for proposals is open for Amazon Research Awards (ARA) for Alexa Fairness in AI. Proposals will be reviewed for the quality of their scientific content, creativity, and their potential for impact at scale. Proposals related to theory, practice, and novel new techniques are all welcome. 
  
Alexa AI-Natural Understanding’s (NU) mission is to build and enable engaging, world-class conversational AI capabilities that are broadly accessible. Under this call for proposals, Amazon Science is seeking to fund research projects on the following topics: 

  • Transparency, explainability, and accountability in AI systems; 
  • Theories of computational/algorithm fairness and factors that affect algorithmic trustworthiness;
  • Detecting and ameliorating adverse biases in data and algorithms, and fairness-aware design of algorithms; 
  • Metrics and methods for designing, piloting, and evaluating systems that mitigate against adverse biases and ensure fairness, including the use of human-machine collaboration and decision support.

ARA provides grant recipients unrestricted funds and AWS Promotional Credits. Funded projects are assigned an Amazon research contact, and recipients also receive training resources, including AWS tutorials and hands-on sessions with Amazon scientists and engineers. 

Before applying, Amazon Science encourages researchers to visit the ARA website and read the frequently asked questions for more specific program information.

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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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