URISA Climate and Community Resilience Webinar Series:
Modeling & Measuring Community Resilience using IN-CORE: An Overview of the Underlying Science and Technology

Resilience is the ability to prepare for, adapt to, and recovery rapidly from hazards such as earthquakes, hurricanes, tornadoes, or floods. The ability to model a community necessitates combining models from different disciplines including the interfaces, propagation of uncertainty, and ultimately the measurement of resilience metrics across physical systems, households, social institutions, and the economy.

In this presentation, J. van de Lindt and J-S Lee will summarize the state-of-the-research in interdisciplinary resilience modeling of communities and cities developed by the U.S. National Institute of Standards and Technology-funded Center for Risk-Based Community Resilience Planning. The computational environment IN-CORE enables researchers to set up complex interdependent models of an entire city consisting of buildings, transportation networks, water and electric power networks, and to include social science data-driven household and business models as well as a computable general equilibrium (CGE) model to predict the level and distributional economic effects of a natural hazard on the economy. An overview of the technology itself will be followed by several examples using Jupyter notebooks of a flood and earthquake example. The web-based applications will also be shown which are used for community engagement to refine the IN-CORE platform.

Moderator: Jarrod Loerzel, Research Social Scientist, National Weather Service

Speakers:

John W. van de Lindt, Ph.D., F. ASCE, F. SEI, Harold H. Short Endowed Chair Professor, Colorado State University, Co-Director, Center for Risk-Based Community Resilience Planning

Jong Sung Lee, Ph.D., Deputy Associate Director, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Co-PI, Center for Risk-Based Community Resilience Planning

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