Aditi Dutta is a Research Fellow in Computational Social Science in the School of Government at the University of Birmingham, where she works as part of Working Group 5 of the Lancet Countdown on Health and Climate Change. Her work focuses on tracking public and political engagement with health and climate change globally, using data science techniques including natural language processing, clustering, and statistical modelling to develop and refine global indicators contributing to the Lancet Countdown's annual report.
Aditi completed her PhD in Politics at the University of Exeter in 2026, where her doctoral research applied computational social science methods to the study of online sexism in political discourse. Her thesis explored ways to improve the reliability of language model annotations for subjective classification tasks, with a particular focus on quantifying model uncertainty. Alongside her doctoral research, she held postgraduate teaching and research assistant roles, teaching statistics to social science students and contributing to externally funded projects including the TWICEASGOOD project on media, sexism, and elections.
Prior to her doctoral studies, she completed an MSc in Data Science at the University of Southampton. She has also held research positions at GESIS — Leibniz Institute for the Social Sciences in Cologne, Germany, collaborating on projects examining data quality in digital social research.
Aditi is an affiliate of the Centre for Climate Change and Social Transformations (CAST) and collaborates with an international network of researchers working on climate change, public engagement, and digital inequality. She has presented her work at a range of international venues.