Education and Training Series #71: Geospatial Analytics for Energy and Resilience Analysis

Date/Hours: 28 November 2022
Location: Online - Free webcast

Part of a webinar series hosted by the GIF Education and Training Working Group since 2016.

Who should attend?
Policymakers, industry professionals, regulators, researchers, students, the general public. 

Webinars
Economics
Education & Training
Updated on 23/11/2024

About the "GIF Education and Training" Webinars

These webinars, organised by the GIF Education and Training Working Group are streamed live monthly. The recordings and slide decks are accessible after the webinar on this website. These webinars cover a very broad range of technical and policy related topics. At the end of 2023 they have been viewed by more than 15000 people (approximately half of the views during the live streams and the other half views being of the archives on the public GIF website). In total, the GIF webinars have reached Generation IV enthusiasts, scientists, and engineers in more than 80 countries.

These webinars are organised and hosted by the GIF Education and Training Working Group (ETWG). 

About this Webinar

Energy systems are often compared on the basis of their economics. However, these can vary with location as can access to resources, labor, transportation networks and the receptiveness of host communities. Natural hazards and climate impacts can also vary dramatically from one location to another. This webinar provides an overview of energy related geospatial analytics at the Colorado School of Mines that grew out of Nuclear Energy University Programs (NEUP) funding.

Recording of the Webinar

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Presentation made during the webinar

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Meet the presenter

Mark Deinert is an Associate Professor in the Nuclear Science and Engineering program at the Colorado School of Mines. He holds external appointments in Electrical Engineering at Cornell University and as a consultant with the World Bank on climate resilience. His research is focused on modeling and simulation of complex systems with applications to nuclear power, nuclear security, distributed energy systems and risk analysis.