How does individual behaviour scale into collective decisions?
Based at the University of Cambridge, we combine systems thinking, AI and sociotechnical design to decode this process. Using multi-domain data and human-centered AI, we build decision architectures for climate action and democratic futures. Led by Dr Ramit Debnath, we transform behavioural insights into resilient sociotechnical systems.
Click here to download a snapshot of our work: CAMCID.pdf
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.
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 and resilient 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.
