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Climate ModelingGovernment & PolicyClear All

PostNovember 21, 2024

Advancing urban tree monitoring with AI-powered digital twins

MIT Assistant Professor Sara Beery contributed to the new Tree D-fusion system, which can generate a simulation-ready 3D model of a real tree from images such as those found on Google Street View. The system leverages a tree shape generated using species- and environment-specific data to create realistic, lifelike tree models.

PostNovember 15, 2024

Ensuring a durable transition

MIT Energy Initiative

At the MIT Energy Initiative's 2024 Annual Research Conference, panelists examined the social barriers to decarbonization and the importance of community involvement in decision-making.

PostNovember 8, 2024

Tackling the energy revolution, one sector at a time

MIT Climate & Sustainability Consortium

A new study by MIT researchers quantifies the impact of a zero-emission truck’s design range on its energy storage requirements and operational revenue.

PostOctober 31, 2024

Oregon inks agreement with developers to enter entire state forest into car...

PostOctober 30, 2024

A new uranium mill was proposed outside Green River nearly 2 years ago. Wha...

PostOctober 30, 2024

Trump has derided Biden's landmark climate programs. Would he ditch hydroge...

PostOctober 25, 2024

Banking on Oregon Forests: Carbon markets could offer middle road in divide...

PostOctober 24, 2024

Study: Fusion energy could play a major role in the global response to clim...

MIT Energy Initiative

PostOctober 22, 2024

Banking on Oregon forests: In fight against climate change, financial marke...

PostOctober 9, 2024

The changing geography of “energy poverty”

This map estimates the average energy burden for U.S. households between 2015 and 2020. Households experiencing an energy burden in costs greater than 6 percent of income are classified as energy-poor. Darker shades indicate higher energy burdens, and grey areas indicate census tracts where the estimates are unavailable.

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