, Gearald Galloway, Richard Wright
This report documents the effort launched by the National Institute of Standards and Technology (NIST) to develop, organize, and convene a workshop on the economics of community disaster resilience to promote the use of economics for system sustainment and guide NIST in developing a portfolio of programs that are focused on providing the enabling measurement science to key industry stakeholders. The workshop was organized around three cross-cutting themes: (1) resilience planning and deployment; (2) dealing with uncertainty; and (3) economics of recovery. Plenary session presentations were commissioned covering each of the three cross- cutting themes. The plenary session presentations set the stage for focused breakout sessions organized around the three cross-cutting themes. The breakout sessions were used to develop a snapshot of the current state-of-the-art in that topic area, as well as identify gaps and research opportunities. Change agents were also identified. The results of the workshop breakout sessions presented herein provide a path forward for key stakeholders. Thus, this report provides the elements of a roadmap useful not only for NIST but for other key industry stakeholders on potential opportunities for their resilience-related research, development, and deployment efforts. The workshop provided many useful insights for NIST as it moves forward with its portfolio of programs focused on resilience-related research. The material contained in this report will promote an increased awareness of resilience-related issues. The report identifies definitional and methodological disconnects and analyzes them from a systems perspective. The report also identifies best practices and barriers to the increased use of resilience-related products and processes and recommends actions for NIST and others to address these barriers.
Special Publication (NIST SP) - 1600
Disaster, community, economics, life cycle assessment, metrics, resilience, standards, synergies and interdependencies, systems, uncertainty