Research
Our research advances fundamental understanding of the complex, interconnected physical and socioâeconomic systems that affect human wellâbeing. We apply stateâofâtheâart computational tools, integrating modeling and data analysis across disciplines in an era of increasing volumes of observational data. Ultimately, we aim to produce actionable science that supports equity and justice within and across generations.
Interconnected Physical and SocioâEconomic Systems. As new policies and technologies are developed amid climate and other global changes, they interact with environmental processes and institutions in ways that can alter the Earthâs critical lifeâsupport systems. Fundamental mechanisms that determine many of these systemsâ behaviors, including those related to interacting climate, water, food and socioâeconomic systems, remain largely unknown and poorly quantified. Better understanding can help society mitigate the risks of abrupt changes and âtipping pointsâ in these systems.
Integrated Modeling and Data Analysis. We conduct modeling and data analysis across disciplines in an era of increasing volumes of observational data. MIT multiâsystem models and data products, building on and extending from the wellâknown Integrated Global System Modeling framework and the MIT Economic Projection and Policy Analysis (EPPA) model, provide robust information to inform decisionâmaking and shape the next generation of sustainability science and strategy.
Actionable Research for Equity and Justice. Our research is designed to inform action associated with measurable outcomes aligned with supporting human wellâbeing across generations. This requires engaging a broad range of stakeholders, including not only nations and companies, but also NGOs and communities that take action to promote sustainable developmentâwith special attention to those who have historically borne the brunt of environmental injustice.
Annual Report
News
MIT CS3 Principal Research Scientists Jennifer Morris and Angelo Gurgel to lead project that aims to enable decision-makers to assess potential economy-wide impacts of multiple decarbonization pathways (Schmidt Sciences)
Commentary co-authored by MIT Professor/CS3 faculty affiliate Christopher Knittel argues for a mileage-based approach (WBUR)
MIT Professor/CS3 faculty affiliate John Sterman and co-author of a forthcoming book chapter find that AIâs biggest climate threat isnât the power draw of data centers â itâs the economic growth AI unleashes (MIT Sloan School of Management) (MIT Sloan Commentary: Can AIâs climate benefits outweigh its costs?)
MIT CS3 and MITEI Principal Research Scientist describes her career path and its potential impact