Association Webinars: Modeling Infrastructure Risk Under Future Climate Scenarios



Natural hazards such as hurricanes and wildfires pose significant risk to infrastructure systems and the communities they serve. While these events can be studied using historical data, research suggests that they may increase in size, severity, and frequency with a continued rise in global temperature, making it difficult to understand and plan for future threats. Asset owners, policymakers, and emergency response coordinators require more robust threat information in order to develop priorities and make informed investment decisions. Argonne National Laboratory’s National Preparedness Analytics Center is working to advance the state of high-impact, low-probability (HILP) event modeling through hazard simulations, infrastructure impact modeling, and economic evaluation. This webinar will review Argonne’s fundamental approach to assessing future natural disaster risk, including a) its approach to simulating hurricanes under both current and future climate conditions; b) its methods for evaluating the impact of various hazards on infrastructure systems; and c) its intended approach for assessing the impact of both hazards and infrastructure failures on local communities.

Seats are limited, sign up to ensure a spot!


Jonathan Gillis is an Energy Policy and Resilience Analyst in the National Preparedness Analytics Center at Argonne National Laboratory. His work primarily centers on hazard assessment and risk mitigation for energy systems. Prior to joining Argonne, Jon was a wholesale electricity market analyst at National Grid in Waltham, Ma. He holds a BA in government from Georgetown University, an MA in international law and diplomacy from the Fletcher School at Tufts University, and an MS in finance from the McDonough School of Business at Georgetown University.


Iain Hyde is the Deputy Director of the National Preparedness Analytics Center within the Decision and Infrastructure Sciences Division at Argonne National Laboratory. Prior to joining Argonne, Iain was most recently the Director of the Colorado Resiliency Office (CRO), where he led Colorado’s interagency disaster recovery operations, and managed the State’s Resilience and Community Recovery program. Iain has 14 years of professional experience in public administration and emergency management. He holds a bachelor’s in political science from Colorado College, a Master of Public Administration from the University of Colorado at Denver, and is a Certified Floodplain Manager.

Mustafa Altinakar is a Senior Computational Hydroscience Engineer at Argonne National Laboratory. He was formerly a research professor and the director of the National Center for Computational Hydroscience and Engineering at The University of Mississippi. He holds a Ph.D. in hydraulics and a master’s in applied mathematics from the Ecole Polytechnique Fédérale de Lausanne in Switzerland, as well as master’s and bachelor’s degrees in civil engineering from the Middle East Technical University in Ankara, Turkey.

Braeton Smith is an Energy Economist in Argonne’s Decision & Infrastructure Sciences Division. Braeton hold a BA from the University of New Mexico, an MS in applied economics from Oregon State University, and an MS and PhD in mineral and energy economics from the Colorado School of Mines.

Register in advance for this webinar: (Registration Link)

After registering, you will receive a confirmation email containing information about joining the webinar.

To pre-install the Zoom software used to view this webinar, please install the software at this link:

If you are not already a member of IAEE, we welcome you to learn the many benefits of members by visiting:

Register →

Event Date: October 27, 2021

Event Time: 10:00 - 11:00 AM Eastern Time

Topic: Modeling Infrastructure Risk Under Future Climate Scenarios

Moderator: Jon Gillis

Speakers: Iain Reed Hyde, Mustafa Siddik Altinakar, and Braeton Smith

Price: FREE

More Webinars →


© 2022 International Association for Energy Economics | Privacy Policy | Return Policy