Climate

Auto Added by WPeMatico

At New York Climate Week 2026, MIT connects with a global network

Abdul Latif Jameel Poverty Action Lab (J-PAL), Abdul Latif Jameel Water and Food Systems Lab (J-WAFS), ai, AI (Artificial Intelligence), Artificial Intelligence, Center for Transportation and Logistics, Civil and environmental engineering, Cleaner industry, Climate, Climate change, Computer science and technology, data, DMSE, Emissions, Energy, Environment, Food, Innovation and Entrepreneurship (I&E), Lincoln Laboratory, Logistics, Mechanical engineering, MIT Schwarzman College of Computing, MIT Sloan School of Management, Office of Open Learning, Policy, Pollution, School of Architecture and Planning, School of Engineering, School of Science, Special events and guest speakers, Supply chains, Sustainability, Urban studies and planning, Water

Each year, Climate Week NYC brings together more than 100,000 people in more than 1,000 events across the city to discuss climate challenges, explore solutions, and spur action. Participants come from industry, academia, philanthropy, nonprofits, government, and finance and venture capital. And this year, the mix included a strong, cross-campus presence from MIT.The MIT community

At New York Climate Week 2026, MIT connects with a global network Read More »

Researchers improve weather forecasts looking two to six weeks out

Agriculture, ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Climate, Computer modeling, Earth and atmospheric sciences, Energy, Machine Learning, National Science Foundation (NSF), Research, School of Engineering, Weather

In 2021, Texas suffered the worst energy infrastructure failure in state history, following three severe winter storms in February. At least 246 people were killed as a result of the disruptions, which led to food, water, heat and electricity shortages.If energy officials had had more time to prepare for the storms, for example by bringing

Researchers improve weather forecasts looking two to six weeks out Read More »

Generating scenarios for extreme events, without extreme data

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Climate, Computer modeling, IDSS, Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, Natural disasters, Research, School of Engineering, Sustainability, Weather

Can a city’s seawall stand up to a blockbuster storm? Will a region’s power grid hold against record-breaking heat? And can a town’s fire-fighting resources contain a major wildfire? To answer these questions, communities will first need to know how such extreme events could unfold. How far is a wildfire likely to spread? How much of

Generating scenarios for extreme events, without extreme data Read More »

Q&A: Expanding MIT’s global reach through Universal Learning

ai, AI (Artificial Intelligence), Artificial Intelligence, Careers, Classes and programs, Climate, Education, teaching, academics, Energy, Faculty, Global, Interview, Labor and jobs, learning, manufacturing, Massive open online courses (MOOCs), Office of Open Learning, Online learning, Staff

MIT’s Universal Learning is a new initiative from MIT Open Learning designed to prepare learners everywhere to tackle complex global challenges through boundary-crossing thinking. Universal Learning offerings combine subject matter expertise from MIT faculty and experts and Open Learning’s more than 25 years of innovation in online education to deliver a learning experience centered on real-world

Q&A: Expanding MIT’s global reach through Universal Learning Read More »

Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

ai, AI (Artificial Intelligence), Artificial Intelligence, Batteries, Cleaner industry, Climate, Computer science and technology, Electronics, Energy, Health, Industry, Innovation and Entrepreneurship (I&E), Materials science and engineering, MIT.nano, Nanoscience and nanotechnology, Photonics, Quantum Computing, School of Engineering, School of Science, semiconductors, Startups, Superconductivity, Technology and society

MIT.nano has announced that 16 startups became active participants in its START.nano program in 2025, more than doubling the number of new companies from the previous year. Aimed at speeding the transition of hard-tech innovation to market, START.nano supports new ventures through the discounted use of MIT.nano shared facilities and a guided access to the

Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano Read More »

Decoding the Arctic to predict winter weather

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Climate, Computer science and technology, Earth and atmospheric sciences, Machine Learning, Natural disasters, Profile, Research, School of Engineering, Staff, Technology and society, Weather

Every autumn, as the Northern Hemisphere moves toward winter, Judah Cohen starts to piece together a complex atmospheric puzzle. Cohen, a research scientist in MIT’s Department of Civil and Environmental Engineering (CEE), has spent decades studying how conditions in the Arctic set the course for winter weather throughout Europe, Asia, and North America. His research

Decoding the Arctic to predict winter weather Read More »

How artificial intelligence can help achieve a clean energy future

Artificial Intelligence, Chemical engineering, Cleaner industry, Climate, Electric grid, Electric vehicles, Energy, Energy efficiency, Energy storage, infrastructure, Investments, Machine Learning, Mechanical engineering, MIT Energy Initiative, Renewable energy, Research, School of Engineering, Sustainability, Sustainable computing, Weather modeling

There is growing attention on the links between artificial intelligence and increased energy demands. But while the power-hungry data centers being built to support AI could potentially stress electricity grids, increase customer prices and service interruptions, and generally slow the transition to clean energy, the use of artificial intelligence can also help the energy transition.For

How artificial intelligence can help achieve a clean energy future Read More »