|Harrison, Kenneth Watson
|McAllister, Therese Park
The Community Resilience group at NIST is pursuing a science-based approach to resilience planning. Resilience is an emerging focus area in the design of the built environment with the aim of improving recovery from disruptive events. More research is needed to understand the recovery processes of its highly interdependent physical, social and economic systems.
The Community Resilience group maintains an active interdisciplinary research program with two overarching research themes: 1) Metrics to track resilience over time to alert communities to the potential for recovery problems and to enable monitoring of progress towards resilience goals. 2) Models to facilitate the search for community-wide solutions that meet the community’s resilience goals. Importantly, the Community Resilience group members actively participate in and lead post-disaster field studies. These studies are critical for validating the developed metrics and models and helping to inform the direction of the research program.
The Community Resilience group is pursuing a systems approach that relies extensively on mathematical modeling and optimization, field data collection, and statistical and geospatial data analysis. Informed by the program’s research, web-accessible tools are being developed to support community resilience planning, and therefore strong computer skills, including computer programming, are valued.
Multiple disciplines will be considered, including engineering (e.g., civil, industrial, operations research, computer science), social sciences (e.g., sociology, planning, decision science), and public health science (e.g., disaster epidemiology, biostatistics).
Buildings; Infrastructure systems; Social systems; Community resilience; Metrics; Decision making; Systems modeling; Engineering; Social Science; Operations research; Mathematical programming; Optimization; Systems analysis; Risk analysis; Industrial Engineering; Sociology; Planning; Decision science; Public Health; Disaster epidemiology; Statistics