Sustainability

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3 Questions: Why infrastructure is entering a defining era

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Cleaner industry, Climate change, Electric grid, Energy, Faculty, Global, government, Industry, infrastructure, International initiatives, Internet, Interview, School of Engineering, Supply chains, Sustainability, Technology and policy, Transportation

For centuries, infrastructure has evolved alongside technology. New materials and engineering techniques enabled taller buildings, longer bridges, and larger cities. Computing and digital technologies later transformed how infrastructure was designed, monitored, and operated.Now, the pace of change is accelerating, and challenges are arriving simultaneously. Climate change is increasing pressure on water, energy, and other resources.

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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

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Fostering community amid Kendall Square’s innovation

ai, AI (Artificial Intelligence), Artificial Intelligence, Bioengineering and biotechnology, Cambridge, Boston and region, Community, Energy, Industry, Kendall Square, Special events and guest speakers, Sustainability, Technology and society

Kendall Square in Cambridge, Massachusetts, is often cited as the most innovative square mile in the world. But when the Kendall Square Association gathered local stakeholders for its 18th Annual Meeting Thursday, the conversation focused on innovation primarily in the context of community.The event, which took place at the nonprofit startup incubator The Engine, attracted

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State of Supply Chain Sustainability Report finds corporate commitment at record high, but governance lags behind

ai, AI (Artificial Intelligence), Artificial Intelligence, Center for Transportation and Logistics, Cleaner industry, Climate change, Emissions, Environment, government, Pollution, Research, School of Engineering, Supply chains, Sustainability, Technology and policy, Trade, Transportation

When corporate leaders discuss climate strategy, the message that still dominates is that, despite competing priorities and external pressures, sustainability matters. According to the 2026 State of Supply Chain Sustainability report from the MIT Sustainable Supply Chain Lab, which surveyed 1,810 supply chain professionals across 91 countries, 83 percent rate sustainability as important or very important

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Using AI to mitigate the growing environmental threat of data centers

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), Energy, Faculty, Machine Learning, MIT Schwarzman College of Computing, Profile, School of Engineering, Sustainability, Sustainable computing, Systems design

The global building boom of power-hungry data centers is straining electrical grids, causing greater reliance on energy from polluting fossil fuels.Christina Delimitrou, a newly tenured associate professor at MIT, is fighting this environmental threat by rethinking how the computer servers and networking equipment inside those data centers operate. She and her group apply machine learning to

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MIT spinout turns plastic waste into resilient building materials

3-D printing, ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Cleaner industry, Housing, Innovation and Entrepreneurship (I&E), Materials science and engineering, Mechanical engineering, Pollution, Robotics, School of Engineering, Startups, Sustainability

The world needs more homes. The world also has too much plastic. Perhaps the only thing those two problems have in common is that they’re hard to solve.Atlas Building Composites, a spinout of MIT, is on a mission to address both problems with a single solution. The company has developed an AI-powered robotic manufacturing platform

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AI weather forecasting enters the energy market as Google targets grid operators with WeatherNext 3

ai, AI (Artificial Intelligence), AI in Action, Artificial Intelligence, DeepMind, Energy, enterprise, Google, Human-AI Relationships, Sustainability

Google’s newest AI weather forecasting model predicts wind speed at 100 metres above the ground, roughly the height of a modern wind turbine. It also forecasts cloud cover and how much sunlight reaches the surface, and it updates every hour. Energy traders, grid operators and wind and solar developers already pay other companies for that

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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

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Paving the way for greener ammonia production

Agriculture, ai, AI (Artificial Intelligence), Artificial Intelligence, Chemistry, Cleaner industry, Computer modeling, DMSE, Emissions, Food, Industry, Machine Learning, Materials science and engineering, Nuclear science and engineering, Pollution, Research, School of Engineering, School of Science, Sustainability

Ammonia is one of the most important chemicals produced in the world, ranking second only to sulfuric acid in the total volume produced each year. It is used mostly to make fertilizer, which is essential to feeding the world’s population. Yet its production accounts for up to 2 percent of the world’s energy consumption and

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AI Power Is Now a Business Capacity Decision: What CEOs and CIOs Need to Know About Megawatts, Cooling, and Community Approval

ai, AI (Artificial Intelligence), AI Infrastructure, Artificial Intelligence, colocation, data center energy, data center power, GPU capacity planning, liquid cooling, microgrids, Sustainability, workload placement

TL;DR AI infrastructure capacity is no longer measured credibly by GPU count alone. A reserved accelerator becomes usable production capacity only when the organization can also provide rack power, cooling, network and storage throughput, facility headroom, grid or on-site generation, permits, water strategy, operational support, and community acceptance. The practical CIO model is to treat

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