How can we responsibly design AI systems for enabling climate and environmental sustainability actions?
Based at the University of Cambridge, we combine systems thinking, computational social science 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, Assistant Professor and Deputy Director of Centre for Human-Inspired AI, we transform people-centic big data into actionable insights for decision-makers. We are part of the Centre for Human-Inspired AI (CHIA)'s AI for Sustainability research theme.
Click here to see some of our projects: 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 AI and ML-driven evidence base to support 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 environmental 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.
