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 climate action by advancing pluralism.
CamCID is led by Dr Ramit Debnath, Assistant Professor (Computational Social Science and Design), University of Cambridge.
Focus on the development and application of computational social science methods, building on theoretical and empirical developments in Natural Language Processing (NLP), Network theory, ML/AI, grounded theory, and behavioural science for the 3Rs (reduce misinformation, remove skepticism and recover trust).
Focus on the data-driven design of climate action and negative emission strategies across multiple sectors, including buildings and energy. We are exploring ways to put people at the centre of the net-zero transition, including assessing public perceptions and attitudes towards climate intervention technologies like solar radiation management, carbon capture and storage, etc.
Focus on the use of data science and systems approaches to design just transition pathways aligned with distributive energy and climate justice objectives.
Focus on exploring the design boundaries of human and machine intelligence systems using a FAccT (Fairness, Accountability and Transparency) lens that can be aligned to support climate mitigation and adaptation decision-making.
Creating next-generation of climate action leaders through pedagogy, adaptive learning and school-level teaching content development with Cambridge University Press and Assessment.
Investigating public attitudes towards climate action and science-related populism using a global survey instrument spanning 67 countries and ~75,000 people. The Cambridge work package is funded by the Quadrature Climate Foundation in partnership with Cambridge Zero, Cambridge Computer Laboratory, Harvard University and Caltech.
Envisioning a less-biassed and human-centric climate action AI trained on the knowledge of social tipping elements. Funded in part by the Quadrature Climate Foundation and the Google Cloud Climate Innovation Challenge 2022.
Heatwaves are becoming more frequent and lethal due to climate change. This project is investigating how to measure heatwave impacts at the population level and design relevant adaptation policies and solutions, funded in part by the Quadrature Climate Foundation.
Controversial geoengineering techniques like solar radiation management could be part of a future technology portfolio to limit global temperature change. We are investigating public attitudes towards such climate interventions using computational social science-based approaches. Partly funded by Quadrature Climate Foundation, Tony Crowling Foundation, Google Cloud Climate Innovation Challenge 2023 in partnership with the Centre for Climate Repair, Cambridge Judge Business School, Caltech HSS, and Twitter.
Does the fossil industry reframe climate and sustainability communications on social media platforms? We are investigating this question using multi-layered computational social science and AI approaches, funded in part by the Cambridge Judge Business School and the Quadrature Climate Foundation.
Investigating distributive justice in shaping invisible drivers of energy in slums in India, Brazil, and Nigeria using computational social science and structural equation modeling, funded in part by the Bill and Melinda Gates Foundation and the Keynes Fund.
University's bold response to the climate crisis.
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.
