Plus: Decoding the solid Earth with machine learning
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Stanford Earth Matters magazine
curates research from across Stanford on topics including oceans, food and agriculture, evolution, the dynamic Earth, and more
What can machine learning tell us about the solid Earth?
Scientists are training machine learning algorithms to help shed light on earthquake hazards, volcanic eruptions, groundwater flow and longstanding mysteries about what goes on beneath the Earth’s surface.
The effects of climate change on water shortages
Half of humanity may live in water-stressed areas by 2025, with far-reaching consequences for human health. Research suggests cuts to global emissions could ease drought risk even in one of the world's most water-poor regions.
Q&A: The dollars and sense of big batteries on the grid
Storing energy produced by wind or solar for later use has a challenge competing with existing natural gas-fired generation units. Energy experts discuss how batteries designed for the job could ease the way.
Inside a quest for a better brick
A pilot project more than eight years in the making seeks to nudge kiln owners toward safer, cleaner production of a ubiquitous building material.
"Not many places on Earth experience this kind of seismicity and volcanism, while being an ancient town and functioning as a modern society.”
– Tiziana Vanorio, Assistant Professor of Geophysics, on the draw of Pozzuoli, Italy
DIG DEEPER BY TOPIC
Evolution of Earth and Life
Food and Agriculture
Human Dimensions and Sustainability
How do plants alter weather and climate?
What's behind earthquakes in Oklahoma?
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Photo credits: USGS Hawaiian Volcano Observatory, Rick Bajornas/UN, Tom Brewster/BLM, Navaism
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