10/09/2025 | Press release | Distributed by Public on 10/09/2025 03:33
The UK Metascience Unit is run jointly by the Department for Science, Innovation and Technology and UK Research and Innovation (UKRI).
The unit has today announced details of a cohort of 29 early career researchers receiving funding through the AI Metascience Fellowship Programme.
AI changing how we work and think
One project at The University of Manchester will explore how AI is changing the way researchers work, think and build their careers.
Focusing on the biomedical sciences, the research will examine how scientists at different career stages are using AI tools, and how this affects:
Improving British farming
Another project at the University of Reading will explore how the use of AI in agriculture and food science can help make farming more sustainable and productive.
The research will look at how AI-enabled innovation can support farmers and agricultural workers, similar to how digital tools have already transformed other industries like banking.
The goal is to help British agriculture become more efficient while protecting the environment.
Exploring AI
Other projects will explore:
Science Minister, Lord Vallance said:
AI is already changing how science works, from seeing unexpected patterns in data or inventing new approaches to discovery through to how AI makes science more accessible for those with disabilities.
We're backing researchers to explore its potential, understand where AI can enhance scientific research but also identify where the risks lie, so we can shape its use to improve lives and grow our economy.
The 29 fellows include:
About the programme
The programme will support this cohort of philosophers, social scientists and AI researchers to:
The programme will focus specifically on AI's impact on scientific research rather than general AI ethics topics, addressing questions such as:
Each of the fellows will receive funding of up to £250,000 for projects lasting up to two years.
Innovation in research funding
In an innovative approach to research funding, the programme piloted a distributed peer review system, where applicants also served as assessors.
Each applicant reviewed between eight and 10 proposals from their peers, ensuring that the evaluation process benefitted from diverse expertise while promoting transparency and community engagement.
Stian Westlake, ESRC Executive Chair, said:
This fellowship programme represents an exciting opportunity to cultivate the next generation of researchers who will help us navigate the profound changes AI is bringing to science.
By combining rigorous research with our pioneering distributed peer review approach, we're not just studying innovation, we're embedding it in how we fund research.
Fostering a transatlantic community
All fellows will have the opportunity to attend a fully funded summer school in 2026, creating a transatlantic community of researchers in this emerging field.
The AI Metascience Fellowship Programme is part of broader efforts by each funding agency to ensure our understanding of the implications of AI technologies keeps pace with technological development.
Joshua M. Greenberg, Program Director at the Alfred P. Sloan Foundation, said:
Large language models and other AI-powered platforms are global phenomena with global impact.
This collaboration brings a multi-national perspective to the study of how AI is changing the ways scientific knowledge is generated, stored, applied, and shared.
AI transforming scientific discovery
The Honourable Evan Solomon, Minister of Artificial Intelligence and Digital Innovation and Minister Responsible for Canada Economic Development for Southern Ontario, said:
Canada is proud to partner with the United Kingdom and United States in this groundbreaking initiative that will help us better understand how artificial intelligence is transforming scientific discovery.
These fellowships represent exactly the kind of international collaboration we need to harness AI's potential while ensuring we develop the next generation of researchers who can navigate this technological transformation responsibly.
By supporting these early career researchers, we're strengthening the transatlantic research community and advancing Canada's position as a global leader in AI innovation and research talent development.
Further information
Supporting exceptional early career researchers
The 29 funded fellows are:
UK Metascience Unit-funded fellowships
Niall Curry, Manchester Metropolitan University
Developing disciplinarily situated recommendations for responsible generative AI use in the social sciences.
Aurelia Sauerbrei, University of Oxford
From human to machine: the ethics of how AI Is reshaping data in scientific research.
Liangping Ding, The University of Manchester
AI and knowledge production.
SJ Bennett, Durham University
Synthetic metascience: tracing AI -generated epistemic shifts in scientific research practice and cultures.
Jorge Campos Gonzalez, University of Reading
sustAInable: AI-driven research for sustainable agri-food futures.
Batool Almarzouq, The University of Edinburgh
Rethinking AI reshapes scientific norms, collaboration dynamics and disruptive science in wicked problem research.
Cen Cong, Newcastle University
Caught in the current: rethinking research anxiety and creativity in the age of AI.
Basil Mahfouz, University College London
Investigating AI's impact on evidence sources for policymaking.
Danny Maupin, University of Surrey
Developing an evidence-based framework for reducing epistemic trespassing when using generative AI: a mixed methods study.
Fanqi Zeng, University of Oxford
AI in criminology research: mapping methodological shifts and epistemic risks.
Chelsea Sawyer, The University of Manchester
Exploring AI's role in enhancing research accessibility and equity for researchers with specific learning disabilities.
Megan Crawford, Edinburgh Napier University
The impact of AI on scientific foresight.
Zihao Li, University of Glasgow
Removing legal hurdles in copyright and data privacy for AI-driven research: unleashing the potential of AI for science.
Youyou Wu, University College London
Is generative AI reinventing the language of science?
Emma Gordon, University of Glasgow
Understanding in the age of AI: preserving scientific achievement in AI-assisted research production.
Joseph Shingleton, University of Glasgow
Generative AI and the future of research software engineering.
Charlotte Collins, University of Cambridge
How humans shape AI for life sciences research.
Justyna Bandola-Gill, University of Birmingham
Transforming evidence synthesis: AI and the (r)evolution of the evidence ecosystem.
Alfred P. Sloan Foundation-funded fellowships
Mel Andrews, Princeton University
Evaluating the epistemic credentials of AI in science evaluation.
Kati Kish Bar-On, Boston University
The shape of intelligence: AI and the changing culture of mathematical knowledge.
Gabrielle Benabdallah, University of Washington
Technologies of reading: from print culture to AI-augmented science.
Benjamin Santos Genta, New York University
AI, similarity, and the future of systemic reviews.
Seyed Mohamad (Moh) Hosseinioun, Northwestern University
Funding the future: AI changes what is science, who does it, and how.
Siyu Yao, University of Cincinnati
Understanding the AI revolution in science: an integrated history, philosophy, and metascience approach.
SSHRC-funded fellowships
Anas Ramdani, Dalhousie University, Canada
Investigating AI's impact on scientific collaboration in environmental research: a metascience perspective.
Graham Macdonald, University of the Fraser Valley, Canada
Ask ChatPhD: exploring the uses of AI technologies by research trainees and their implications for the political economy of university-based research.
Antoine Boudreau LeBlanc, Université Laval, Canada
Governing the neural turn in AI: ethical frameworks for foundation models in cognitive science.
Maxime Harvey, Institut national de la recherche scientifique, Canada
(AI) research infrastructure: a comparative study of AI infrastructures in science, technology, engineering and mathematics (STEM) and humanities, arts and social sciences.
(IA) infrastructuration de la recherche: Étude comparative des infrastructures de l'IA en STEM et SHS.
Emadeddin Naghipour, University of Victoria, Canada
Between judgment and automation: researchers, AI, and the future of peer review.
Top image: Credit: Charday Penn, E+ via Getty Images