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Climate News at MIT

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BiodiversityOceansClear All

PostMarch 21, 2025

Reengineering the global food system for a healthier planet

MIT Center for Sustainability Science and Strategy

Optimizing dietary choices for environmental and human health

PostFebruary 13, 2025

Mission: Climate

Storm clouds hover over a green field.

PostFebruary 6, 2025

Seeking climate connections among the oceans’ smallest organisms

By combining measurements that he takes in the ocean with experiments in his MIT lab, Andrew Babbin is working to understand the connections between microbes and nitrogen in the ocean.

PostJanuary 3, 2025

An abundant phytoplankton feeds a global network of marine microbes

Prochlorococcus tend to shed their molecular baggage at night. For a microbe called SAR11, the researchers found that the nighttime snack acts as a relaxant of sorts.

PostDecember 18, 2024

Surface-based sonar system could rapidly map the ocean floor at high resolu...

MIT Lincoln Laboratory

Left to right: Stephen Murray, Jason Valenzano, David Kindler, Paul Ryu, and Andrew March deploy their 8 m × 8 m sonar array test bed, held together by a metal frame, in Boston Harbor for sea tests.

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 14, 2024

Dancing with currents and waves in the Maldives

Underwater structures created by MIT’s Self-Assembly Lab and Invena, an organization based out of the Maldives.

PostNovember 1, 2024

Making agriculture more resilient to climate change

PostOctober 23, 2024

Banking on Oregon forests: Despite challenges, carbon markets see big poten...

PostOctober 23, 2024

Study: Marshes provide cost-effective coastal protection

Graduate student Ernie I. H. Lee uses drone imaging and machine learning to help map salt marsh species, plant height, and shoots per bed area.

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