Katharine Hayhoe
Person on 3 sites
Katharine Hayhoe is a Canadian atmospheric scientist, born in Toronto in 1972.
-
6 facts on wiqqi (opens wiqqi.app)
- Born: 15 April 1972, Toronto, Ontario (opens wiqqi.app)
- Education: BSc physics and astronomy, University of Toronto (1994); MS and PhD, University of Illinois at Urbana-Champaign (opens wiqqi.app)
- Texas Tech University: From 2005; Paul Whitfield Horn Distinguished Professor and Political Science Endowed Chair in Public Policy and Public Law (opens wiqqi.app)
-
3 channels on ppll (opens ppll.app)
-
Bluesky: @katharinehayhoe.com (opens bsky.app)
“Tonight ⬇️”
-
YouTube (opens www.youtube.com)
“How climate-driven droughts end childhoods”
- Site: katharinehayhoe.com (opens www.katharinehayhoe.com)
-
Bluesky: @katharinehayhoe.com (opens bsky.app)
-
3 beliefs on korrents (opens korrents.com)
-
AI can help accelerate the low-carbon transition through applications like optimizing power grids and improving climate modeling. (opens korrents.com)
“Today, as this Nature Climate Action perspective explains in detail, there are numerous ways that AI can help accelerate the low-carbon transition, if used wisely and well. This includes optimizing power grids,…”
-
Current AI technology is being used inefficiently and without sufficient transparency or oversight. (opens korrents.com)
“And right now, there's no question that much new AI technology is using energy inefficiently and operating with no transparency or oversight, and with no regard to its harmful side effects.”
-
The environmental and social costs of current AI systems are not distributed evenly. (opens korrents.com)
“The environmental and social costs of today's AI systems are not hypothetical, and they aren't evenly shared, either. Once again, those who are benefitting the least from this development are bearing the brunt of the…”
-
AI can help accelerate the low-carbon transition through applications like optimizing power grids and improving climate modeling. (opens korrents.com)