Artificial Intelligence has suddenly gone from the fringes of science to being everywhere. So how did we get here? And where's this all heading? In this new series of Science Friction, we're finding out.
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Mapping Waters of the United States Using New Tools, with Simon Greenhill and Hannah Druckenmiller
Manage episode 407769742 series 2487180
Contenuto fornito da Resources Radio and Resources for the Future. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Resources Radio and Resources for the Future o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
In this week’s episode, host Daniel Raimi talks with Simon Greenhill (PhD candidate at the University of California, Berkeley) and Hannah Druckenmiller (university fellow at Resources for the Future and assistant professor at the California Institute of Technology). Along with other coauthors, Greenhill and Druckenmiller recently published an article in the journal Science that uses a new machine learning model to predict which waterways are regulated under the Clean Water Act according to different definitions of what the Clean Water Act calls “waters of the United States.” Greenhill and Druckenmiller discuss the differences in regulation when considering a broader or narrower interpretation of waters of the United States, along with the implications for wetland protection, clean water, and flood mitigation. References and recommendations: “Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates” by Simon Greenhill, Hannah Druckenmiller, Sherrie Wang, David A. Keiser, Manuela Girotto, Jason K. Moore, Nobuhiro Yamaguchi, Alberto Todeschini, and Joseph S. Shapiro; https://www.rff.org/publications/journal-articles/machine-learning-predicts-which-rivers-streams-and-wetlands-the-clean-water-act-regulates/ Clean Water Act regulation map; https://simondgreenhill.github.io/wotus-map/ Clean Water Act regulation map explainer video by Simon Greenhill; https://www.youtube.com/watch?v=Jkhz5gVUo2w&ab “Wetlands, Flooding, and the Clean Water Act” by Charles A. Taylor and Hannah Druckenmiller; https://www.rff.org/publications/working-papers/wetlands-flooding-and-the-clean-water-act/ “The Hungry Tide” by Amitav Ghosh; https://www.harpercollins.com/products/the-hungry-tide-amitav-ghosh “The High Sierra: A Love Story” by Kim Stanley Robinson; https://www.hachettebookgroup.com/titles/kim-stanley-robinson/the-high-sierra/9780316306812/
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315 episodi
Manage episode 407769742 series 2487180
Contenuto fornito da Resources Radio and Resources for the Future. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Resources Radio and Resources for the Future o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
In this week’s episode, host Daniel Raimi talks with Simon Greenhill (PhD candidate at the University of California, Berkeley) and Hannah Druckenmiller (university fellow at Resources for the Future and assistant professor at the California Institute of Technology). Along with other coauthors, Greenhill and Druckenmiller recently published an article in the journal Science that uses a new machine learning model to predict which waterways are regulated under the Clean Water Act according to different definitions of what the Clean Water Act calls “waters of the United States.” Greenhill and Druckenmiller discuss the differences in regulation when considering a broader or narrower interpretation of waters of the United States, along with the implications for wetland protection, clean water, and flood mitigation. References and recommendations: “Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates” by Simon Greenhill, Hannah Druckenmiller, Sherrie Wang, David A. Keiser, Manuela Girotto, Jason K. Moore, Nobuhiro Yamaguchi, Alberto Todeschini, and Joseph S. Shapiro; https://www.rff.org/publications/journal-articles/machine-learning-predicts-which-rivers-streams-and-wetlands-the-clean-water-act-regulates/ Clean Water Act regulation map; https://simondgreenhill.github.io/wotus-map/ Clean Water Act regulation map explainer video by Simon Greenhill; https://www.youtube.com/watch?v=Jkhz5gVUo2w&ab “Wetlands, Flooding, and the Clean Water Act” by Charles A. Taylor and Hannah Druckenmiller; https://www.rff.org/publications/working-papers/wetlands-flooding-and-the-clean-water-act/ “The Hungry Tide” by Amitav Ghosh; https://www.harpercollins.com/products/the-hungry-tide-amitav-ghosh “The High Sierra: A Love Story” by Kim Stanley Robinson; https://www.hachettebookgroup.com/titles/kim-stanley-robinson/the-high-sierra/9780316306812/
…
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315 episodi
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