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PodcastMarch 28, 2024

E1: Won’t more CO2 help plants grow?

TILclimate Podcast

PostMarch 27, 2024

A delicate dance

MIT Energy Initiative

Professor Catherine Wolfram, an economist in the MIT Sloan School of Management, looks for ways to decarbonize global energy systems while recognizing that energy drives economic development, especially in the developing world.

PostMarch 21, 2024

Understanding the impacts of mining on local environments and communities

The Chuquicamata copper mine in the north of Chile

PostMarch 15, 2024

Study finds lands used for grazing can worsen or help climate change

Cattle grazing can either be a source of greenhouse gas emissions or a sink for these emissions, depending on the intensity of grazing, according to a new study by scientists at MIT and in China.

PostMarch 13, 2024

Letting the Earth answer back: Designing better planetary conversations

2023 Design Fellow Chen Chu MArch '21, explores the global relevance of local floodplain resilience strategies.

PostMarch 11, 2024

Cutting carbon emissions on the US power grid

MIT Energy Initiative

An online model developed by an MIT Energy Initiative team enables other researchers and operators of U.S. regional grids to explore possible pathways to decarbonization. Case studies of the nine regional power grids shown here confirm the importance of designing a strategy based on the resources and electricity demand profiles of specific regions.

PostFebruary 28, 2024

Explained: Carbon credits

Clear, enforceable standards may make the difference in how effective carbon trading systems are in reducing global emissions.

PostFebruary 28, 2024

Moving past the Iron Age

MIT Energy Initiative

Sydney Johnson, an MBA and PhD candidate and researcher in the MIT Energy Initiative, is building models that can calculate the cost and effectiveness of various strategies for cutting carbon dioxide emissions in steel production plants. Her techniques can be applied to many other hard-to-decarbonize industries.

PostFebruary 15, 2024

MIT researchers remotely map crops, field by field

$MIT engineers have developed a method to quickly and accurately label and map crop types using a combination of Google Street View images, machine learning, and satellite data to automatically determine the crops grown throughout a region, from one fraction of an acre to the next.$

PostFebruary 6, 2024

The Expansion of Incentive (Performance Based) Regulation of Electricity Di...

MIT Center for Energy and Environmental Policy Research

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