Jessica Montgomery

Executive Director, Accelerate Science

Contact information

Research interests

Jess Montgomery is Executive Director of the Accelerate Programme for Scientific Discovery, a new initiative developing artificial intelligence tools and collaborations to advance research. She is also Director of the Data Trusts Initiative, a project tackling the actions needed to develop trustworthy data governance frameworks. Jess has a range of collaborations in areas where AI is being used to tackle real-world challenges. These explore the roles that technological advances, scientific evidence, policy development and public dialogue can play in sharing the benefits of AI technologies across society. Her interests in AI and its consequences for science and society stem from her policy career, in which she worked with senior parliamentarians, leading researchers and civil society organisations to bring scientific evidence to bear on major policy issues.

Publications

Recent publications include:

Data Trusts Initiative (2021) International perspectives on the development of data institutions (Working Paper 2), available at www.datatrusts.uk

Delacroix, S., Pineau, J. and Montgomery, J. (2020) Democratising the digital revolution: the role of data governance, in Braunschweig, B. and Ghallab, M. (Eds) Reflections on Artificial Intelligence for Humanity, Springer International Publishing, ISBN: 978-3-030-69128-8

Data Trusts Initiative (2020) Data trusts: from theory to practice (Working Paper 1), available at www.datatrusts.uk

Delacroix, S. and Montgomery, J. (2020) From research data ethics principles to practice: data trusts as a governance tool, available at SSRN.

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. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science research community 
  • Builds research capacity in data science 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 
  • Acts as a gateway for external organisations 

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