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.