Sustainability
Sustainability

Sustainability

Algorithms Artificial Intelligence Autonomous vehicles Civil and environmental engineering Computer science and technology Data Emissions IDSS Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Traffic management Transportation

New tool evaluates progress in reinforcement learning

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

Aeronautical and astronautical engineering Artificial Intelligence Climate change Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Electrical engineering and computer science (EECS) Energy Europe Global Innovation and Entrepreneurship (I&E) International initiatives Mechanical engineering MIT Portugal MIT Schwarzman College of Computing Nanoscience and nanotechnology Oceanography and ocean engineering Research School of Engineering Space Sustainability Woods Hole

The MIT-Portugal Program enters Phase 4

New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.

Art, Culture and Technology Artificial Intelligence Design Innovation and Entrepreneurship (I&E) MIT Professional Education Online learning School of Engineering Sustainability

Norma Kamali is transforming the future of fashion with AI

The renowned designer embraces generative AI to preserve and propel her legacy.

Artificial Intelligence Cleaner industry Climate change Electric grid Energy Fusion Government Infrastructure MIT Energy Initiative National Institutes of Health (NIH) Nuclear power and reactors politics Renewable energy Special events and guest speakers Sustainability Sustainable computing

Taking the “training wheels” off clean energy

At the 2025 MIT Energy Conference, energy leaders from around the world discussed how to make green technologies competitive with fossil fuels.

Algorithms Alumni/ae Artificial Intelligence Civil and environmental engineering Cleaner industry Climate change Computer science and technology Emissions Energy Graduate, postdoctoral IDSS machine learning Profile School of Engineering Students Sustainability Traffic management Transportation Undergraduate Research Opportunities Program (UROP)

Puzzling out climate change

Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Algorithms Animals Artificial Intelligence computer-vision Data Ecology Electrical engineering and computer science (EECS) Environment Faculty Food machine learning Research School of Engineering Sustainability

Streamlining data collection for improved salmon population management

Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.

Alumni/ae Artificial Intelligence Cleaner industry Emissions Energy efficiency Industry Innovation and Entrepreneurship (I&E) machine learning MIT Sloan School of Management real-estate Renewable energy School of Architecture and Planning Solar Startups Sustainability Wind

A platform to expedite clean energy projects

Station A, founded by MIT alumni, makes the process of buying clean energy simple for property owners.

Artificial Intelligence Chemical engineering Cleaner industry Climate change Data Electricity Emissions Energy MIT Energy Initiative Nuclear power and reactors Renewable energy School of Engineering Sustainability Sustainable computing Technology and policy Technology and society

The multifaceted challenge of powering AI

Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.

Algorithms Artificial Intelligence Cleaner industry Climate Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data DMSE Electrical engineering and computer science (EECS) Emissions Energy Environment Human-computer interaction machine learning MIT Schwarzman College of Computing School of Engineering Sustainability Sustainable computing Water

Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

Artificial Intelligence Climate change Computer science and technology Electricity Emissions Energy Energy efficiency Interview Lincoln Laboratory machine learning Staff Supercomputing Sustainability Sustainable computing Technology and society

Q&A: The climate impact of generative AI

As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.