Our independent analyses of the complex interactions among co-evolving systems aid decision-makers in confronting multiple, interwoven challenges.
Our state-of-the-art models and analytical methods project global and regional changes and potential risks under different policy scenarios.
Simulates the interplay between Earth and human systems
Simulates physical, dynamical and chemical processes in the atmosphere, land, ocean and cryosphere
Simulates the evolution of economic, demographic, trade and technological processes
Analytical methods to quantify uncertainty at global and regional scales
Our Greenhouse Gamble Wheels
Joint Program News
Findings in study co-authored by Joint Program Senior Research Scientist Stephanie Dutkiewicz could improve accuracy of climate change projections (Univ. of Rhode Island)
A delegation from MIT traveled to Glasgow for COP26, where international negotiators sought to keep global climate goals on track (MIT Office of the Vice President for Research)
Online events highlight progress with new climate planning bodies, campus improvements, and involvement of all parts of the MIT community