How does individual behaviour roll into the social dynamics of collective decision-making? Can the emergent AI and socio-technical design thinking help?
We are an interdisciplinary research group at the University of Cambridge, leveraging environmental data science, computational social science, and human-in-the-loop AI design to enable collective climate action by advancing pluralism.
We use arrays of empirical, data science, and systems thinking methods to test and apply social science theories for improving collective decision-making that generates direct policy implications.The group is led by Dr Ramit Debnath, Assistant Professor of Mathematics and Social Design at the University of Cambridge. We co-lead two research labs.
Focus on the development and application of computational social science methods, building on theoretical and empirical developments in Natural Language Processing (NLP), large language models, network theory, ML/AI, grounded theory, and behavioural science for the 3Rs (reduce misinformation, remove skepticism and restore trust).
Focus on the data-driven decision-making of climate and sustainability action at a systems scale to enable collective action by advancing pluralism.
Focus on the use of data science and systems approaches to design just transition pathways for public policy applications.
Focus on exploring the design boundaries of human and machine intelligence systems using a FAccT (Fairness, Accountability and Transparency) lens to support human-centric decision-making.
The University's mission is to contribute to society through the pursuit of education, learning and research at the highest international levels of excellence.
We are an interdisciplinary and mission-driven research group. If you have data skills and are passionate about systems thinking, we would love to co-create and co-design a resilient future with you.
