Research
Our research advances fundamental understanding of the complex, interconnected physical and socio‑economic systems that affect human well‑being. We apply state‑of‑the‑art 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 Socio‑Economic 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 Earth’s critical life‑support systems. Fundamental mechanisms that determine many of these systems’ behaviors, including those related to interacting climate, water, food and socio‑economic systems, remain largely unknown and poorly quantified. Better understanding can help society mitigate the risks of abrupt changes and “tipping points” 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 multi‑system models and data products, building on and extending from the well‑known Integrated Global System Modeling framework and the MIT Economic Projection and Policy Analysis (EPPA) model, provide robust information to inform decision‑making 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 well‑being 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 development—with 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)
MIT Professor/CS3 faculty affiliate John Sterman and co-author of a forthcoming book chapter find that AI’s biggest climate threat isn’t the power draw of data centers — it’s the economic growth AI unleashes (MIT Sloan School of Management) (MIT Sloan Commentary: Can AI’s climate benefits outweigh its costs?)
MIT CS3 and MITEI Principal Research Scientist describes her career path and its potential impact
A new MIT Sloan School of Management initiative co-led by Professor/CS3 faculty affiliate Christopher Knittel, aims to design the financial architecture needed to bring breakthrough climate innovations from technical promise to commercial scale (MIT Sloan School of Management)