
معرفی
Rhodri Leng is a Lecturer in Science and Technology Studies at the University of Edinburgh's School of Social and Political Science, where he has been employed since January 2024. His academic journey includes a PhD and MSc(R) in Science and Technology Studies from Edinburgh, an MA in Political and Legal Theory from the University of York, and an MA in Politics from the University of Glasgow.
Research Focus: Leng specializes in the sociology of scientific development, examining how scientific knowledge spreads, influences opinion, and evolves within communities. His mixed-method approach combines computational techniques like citation network analysis and text mining to study:
- Dynamics of scientific literature and citation practices
- Detection of citation bias and distortion
- Integration of computational methods in scientific reviews
- Research integrity and impact assessment
Publications: Leng's 13 most recent journal articles (2018-2024) demonstrate consistent focus on scientometrics, genomics, neuroscience, and policy studies. Key themes include citation network analysis (10 papers), scientific controversies (5 papers), and computational methods in humanities (8 papers), with increasing attention to metascience and research evaluation in recent years.
Awards & Honors:
- ESRC Postdoctoral Fellowship (2020-2021)
- ESRC Advanced Quantitative Methods PhD Studentship (2016-2019)
- EUSA Teaching Award for 'Best Student Who Tutors' (2019)
Supervision & Grants: He welcomes PhD/Master's students interested in science policy, field development, or evidence-use practices. Previously secured ESRC funding for projects on selective citation analysis. Developed online courses in systematic literature review and network analysis for biomedical/social sciences.
Professional Background: Before academia, Leng worked in UK politics as parliamentary/policy officer. From 2021-2024, he conducted industry research at Baillie Gifford, focusing on sociotechnical transitions and scientific mapping for investment strategies.



