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Climind x Founder of Climate Change AI : Tackling Climate Change with Machine Learning -SESSION 1
"Talks at Climind" is a thoughts-leadership podcast launched by Climind, and co-organized with leading universities, research institutions, and industry partners. The climate is a data integration issue. Our goal is to present exciting big ideas about climate data solutions, particularly in areas such as energy transition, adaptation and mitigation, carbon markets, and nature-based solutions.
Speakers - Prof. Priya L. Donti and Ronnie.
Prof. Priya L. Donti is the Co-founder and Executive Director of Climate Change AI and an incoming Assistant Professor at MIT. As the Co-founder and Executive Director of Climate Change AI, her research focuses on machine learning for forecasting, optimization, and control in high-renewable power grids. Specifically, her work explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning workflows. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University and is a recipient of the MIT Technology Review’s 2021 “35 Innovators Under 35” award, the ACM SIGEnergy Doctoral Dissertation Award, the Siebel Scholarship, the U.S. Department of Energy Computational Science Graduate Fellowship, and best paper awards at ICML (honorable mention), ACM e-Energy (runner-up), PECI, the Duke Energy Data Analytics Symposium, and the NeurIPS workshop on AI for Social Good.
Ronnie is a Quantitative Researcher in London. He earned his Ph.D. in energy and environmental engineering from Imperial College London. Ronnie used to host an energy-related podcast.
Outline: Here are the timestamps for the episode. On some podcast players, you should be able to click the timestamp to jump to that time. This episode has been divided into two sessions. Please also join in the second session to hear more.
Session 1
(00:00) – Introduction
(02:55) – About Climate Change AI
(05:34) – How does AI apply to the energy system
(08:16) – What machine learning can do
(15:10) – What kind of additional challenges for the energy transition
(17:32) – Data challenges for climate change and AI
Session 2
(00:43) – Chat GPT, climate change application, and AI
(03:57) – Big language model and data search
(06:33) – Human opinion and AI
(08:44) – References and AIGC
(09:55) – Breakthrough in the machinery world
(14:54) – Communication in various communities
(18:57) – Climate value in finance via data
(26:34) – Future plan
Read more about Climate Change AI: https://www.climatechange.ai/
Listen on:
- "Talks at Climind" page: https://www.loom.com/share/b09bddce363e41ff86e8a9f48202965c
- Spotify Podcasts: https://open.spotify.com/show/4QjUMSeiqu9lCXcEGX13Ak
- Apple Podcasts: https://podcasts.apple.com/us/podcast/talks-at-climind/id1667874615?i=1000596651075
- Youtube Channel: https://www.youtube.com/@talksatclimind
-小宇宙: https://www.xiaoyuzhoufm.com/podcast/63c022c5a375960010792c48
Contact us
Interested in what Climind is doing to bridge data gaps in Climate Change?
Climind Website: https://www.climind.co/
Follow us on LinkedIn: https://uk.linkedin.com/company/climindtech
View all episodes
By Climind"Talks at Climind" is a thoughts-leadership podcast launched by Climind, and co-organized with leading universities, research institutions, and industry partners. The climate is a data integration issue. Our goal is to present exciting big ideas about climate data solutions, particularly in areas such as energy transition, adaptation and mitigation, carbon markets, and nature-based solutions.
Speakers - Prof. Priya L. Donti and Ronnie.
Prof. Priya L. Donti is the Co-founder and Executive Director of Climate Change AI and an incoming Assistant Professor at MIT. As the Co-founder and Executive Director of Climate Change AI, her research focuses on machine learning for forecasting, optimization, and control in high-renewable power grids. Specifically, her work explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning workflows. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University and is a recipient of the MIT Technology Review’s 2021 “35 Innovators Under 35” award, the ACM SIGEnergy Doctoral Dissertation Award, the Siebel Scholarship, the U.S. Department of Energy Computational Science Graduate Fellowship, and best paper awards at ICML (honorable mention), ACM e-Energy (runner-up), PECI, the Duke Energy Data Analytics Symposium, and the NeurIPS workshop on AI for Social Good.
Ronnie is a Quantitative Researcher in London. He earned his Ph.D. in energy and environmental engineering from Imperial College London. Ronnie used to host an energy-related podcast.
Outline: Here are the timestamps for the episode. On some podcast players, you should be able to click the timestamp to jump to that time. This episode has been divided into two sessions. Please also join in the second session to hear more.
Session 1
(00:00) – Introduction
(02:55) – About Climate Change AI
(05:34) – How does AI apply to the energy system
(08:16) – What machine learning can do
(15:10) – What kind of additional challenges for the energy transition
(17:32) – Data challenges for climate change and AI
Session 2
(00:43) – Chat GPT, climate change application, and AI
(03:57) – Big language model and data search
(06:33) – Human opinion and AI
(08:44) – References and AIGC
(09:55) – Breakthrough in the machinery world
(14:54) – Communication in various communities
(18:57) – Climate value in finance via data
(26:34) – Future plan
Read more about Climate Change AI: https://www.climatechange.ai/
Listen on:
- "Talks at Climind" page: https://www.loom.com/share/b09bddce363e41ff86e8a9f48202965c
- Spotify Podcasts: https://open.spotify.com/show/4QjUMSeiqu9lCXcEGX13Ak
- Apple Podcasts: https://podcasts.apple.com/us/podcast/talks-at-climind/id1667874615?i=1000596651075
- Youtube Channel: https://www.youtube.com/@talksatclimind
-小宇宙: https://www.xiaoyuzhoufm.com/podcast/63c022c5a375960010792c48
Contact us
Interested in what Climind is doing to bridge data gaps in Climate Change?
Climind Website: https://www.climind.co/
Follow us on LinkedIn: https://uk.linkedin.com/company/climindtech