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Explore our expert insights and analysis in leading energy and climate news stories.
The Center on Global Energy Policy (CGEP) at Columbia University’s School of International and Public Affairs (SIPA), in partnership with Columbia SIPA’s Institute of Global Politics (IGP), today announced the launch of a new Trade and Clean Energy Transition Program.
Get the latest as our experts share their insights on global energy policy.
The rapid expansion of artificial intelligence (AI), especially Large Language Models (LLMs) such as GPT-3 and Gemini on which the now well-known ChatGPT AI and Gemina assistant systems...
Hear in-depth conversations with the world’s top energy and climate leaders from government, business, academia, and civil society.
Energy is central to economic development, and access to energy is intrinsically linked to prosperity. As standards of living improve, energy use could double by the end of...
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].
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...
The Center on Global Energy Policy (CGEP) at Columbia SIPA hosted a discussion on the policy and investment choices of national oil companies in the energy transition.
