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Natural Decision Making and Resilience Engineering

Methods include observing how humans operate and adapt to varying situations in complex naturalistic environments in various domains such as healthcare, education, and crisis response. Observations are augmented by interviews that use knowledge elicitation techniques to capture perspectives of domain actors, ranging from frontline personnel and senior leadership. A key theme of focus is identifying adaptive patterns and emergent properties of systems through proactive learning. Insights from such learning can be used to inform decisions at various organizational levels, including policies, process design, schedules, and resource management.

This area includes:

  • Adaptive Capacity
  • Performance in Complex Cognitive Systems
  • Sensemaking
  • Recognition-primed Decision making

Faculty in this Area:

Sudeep HegdeKapil Chalil Madathil, David M. Neyens

 

 

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