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Just wrapping up a tremendous week here in Chile with Center on Global Energy Policy's Critical Materials Program, led by Tom Moerenhout, and hosted by our non-resident fellow and former Energy and Mines Minister Juan Carlos Jobet.
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The commercial deals Trump struck on artificial intelligence cooperation will likely shift the global balance of power for one of this century's most critical technologies.
Hear in-depth conversations with the world’s top energy and climate leaders from government, business, academia, and civil society.
In today's polarized political landscape, energy policy has become increasingly partisan. States rich in both fossil fuels and renewable resources must confront growing electricity demand and aging infrastructure....
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Join us for a virtual information session focused on career pathways at the World Bank, one of the world’s leading international financial institutions dedicated to poverty reduction and...
Past Event
December 5, 2023
12:00 pm - 1:00 pm est
Please join the Center on Global Energy Policy at Columbia University’s School of International and Public Affairs for this discussion series on how the application of Artificial Intelligence (AI) in the energy sector can advance the discovery of new technologies, aid in the prediction of successful energy-related systems, and optimize operations.
Most people are now familiar with one type of Generative Artificial Intelligence (GenAI), ChatGPT, that produces writings from existing data on the internet. GenAI is a very topical area of AI. It uses neural networks to identify patterns and structures within existing data to generate new and original content.
GenAI for energy operations is a vast opportunity for the energy sector. Collecting data from various types of energy operations– wind turbine fleets, power storm and outage management, and supply chains–while processing them with AI is beginning to make significant operational improvements. AI drives performance and reduces developmental technical risks, emissions, and costs.
This second session of the Artificial Intelligence for Energy series will cover the oil and gas sector. AI analysis of 3D seismic data, recommendations for development planning, and monitoring and optimizing operations, is a vast area of potential applicability for AI.
Moderator:
Paul M. Dabbar, Adjunct Senior Research Scholar and Former Distinguished Visiting Fellow, Center on Global Energy Policy at Columbia SIPA; Former Under Secretary for Science, U.S. Department of Energy
Speaker:
Andy Flowers, Director, Advanced Analytics, ConocoPhillips
This webinar will be hosted via Zoom. Advance registration is required. Upon registration, you will receive a confirmation email with access details. The event will be recorded and the video recording will be added to our website following the event.
This event is open to the press, and registration is required to attend. For media inquiries or requests for interviews, please contact Natalie Volk ([email protected]).
For more information about the event, please contact [email protected].
Women in Energy at the Center on Global Energy Policy at Columbia SIPA is pleased to host Anne-Sophie Corbeau.
https://www.youtube.com/live/uKG-yDvxzRo?si=oze-u-1IhRQNCINJ Since the start of the war in Ukraine in February 2022, the global gas market has witnessed considerable changes. This is particularly the case for the global...
This roundtable is open only to currently enrolled Columbia University students. Japan is a country with substantial energy demand but limited energy resources. After the March 2011 tsunami...
A legacy of costs from oil and gas production will remain long after achieving a net-zero future. The Center on Global Energy Policy (CGEP) at Columbia University's School...
