Sustainability
Sustainability

Sustainability

Algorithms Artificial Intelligence Cities Civil and environmental engineering Climate change Computer modeling Computer science and technology Electrical engineering and computer science (EECS) Emissions IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Energy Initiative MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Sustainability Transportation

Parking-aware navigation system could prevent frustration and emissions

By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.

Algorithms Alternative energy Artificial Intelligence Batteries Climate change Computer science and technology Electrical engineering and computer science (EECS) Energy Energy storage Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Pollution Research School of Engineering Sustainability Sustainable computing

3 Questions: How AI could optimize the power grid

While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.

Artificial Intelligence Chemical engineering Cleaner industry Climate Electric grid Electric vehicles Energy Energy efficiency Energy storage Infrastructure machine learning Mechanical engineering MIT Energy Initiative Renewable energy Research School of Engineering Sustainability Sustainable computing Weather modeling

How artificial intelligence can help achieve a clean energy future

AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.

Artificial Intelligence Batteries Carbon dioxide chemistry Cleaner industry Climate change Collaboration DMSE Electric grid Energy Energy storage Faculty Government Infrastructure Innovation and Entrepreneurship (I&E) Mechanical engineering MIT Energy Initiative Policy Renewable energy School of Engineering School of Science Special events and guest speakers Startups Students Sustainability The Engine Transportation

MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

Industry leaders agree collaboration is key to advancing critical technologies.

Artificial Intelligence Cleaner industry Climate change Electric grid Emissions Energy Energy efficiency MIT Energy Initiative Research Sustainability Technology and policy

MIT Energy Initiative launches Data Center Power Forum

MIT faculty and MITEI member company experts address power demand from data centers.

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3 Questions: How AI is helping us monitor and support vulnerable ecosystems

MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.

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The brain power behind sustainable AI

PhD student Miranda Schwacke explores how computing inspired by the human brain can fuel energy-efficient artificial intelligence.

Artificial Intelligence Cleaner industry Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Human-computer interaction Invention machine learning Media Lab MIT Morningside Academy for Design MIT Schwarzman College of Computing Research School of Engineering Sustainability

New software designs eco-friendly clothing that can reassemble into new items

To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Algorithms Alumni/ae Artificial Intelligence Data Faculty Food India MIT Sloan School of Management Policy Poverty Profile Research Sustainability

Optimizing food subsidies: Applying digital platforms to maximize nutrition

An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.

Algorithms Artificial Intelligence Climate change Computer science and technology Electric grid Electrical engineering and computer science (EECS) Energy Faculty Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile Renewable energy School of Engineering Sustainability Technology and policy

Fighting for the health of the planet with AI

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.