Hazards SEES: Social and Physical Sensing Enabled Decision Support


Infrastructure systems are a cornerstone of civilization. Damage to infrastructure from natural disasters such as an earthquake (e.g. Haiti, Japan), a hurricane (e.g. Katrina, Sandy) or a flood (e.g. Kashmir floods) can lead to significant economic loss and societal suffering. Human coordination and information exchange are at the center of damage control. This project seeks to radically reform decision support systems for managing rapidly changing disaster situations by the integrated exploitation of social, physical and hazard modeling capabilities. This effort is expected to provide a model for highly integrative and collaborative work among researchers in computer science, engineering, natural sciences and the social sciences for research, education, and training of undergraduate and graduate students including those from underrepresented groups.

For more information, visit the Kno.e.sis Wiki.


  • NSF Award#: EAR 1520870
  • Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response
  • Timeline: 08/15/2015 - 07/31/2019
  • Award Amount: $1,975,000


  • Co-Investigators
    • Densheng Liu (OSU)
    • Ethan Kubatko (OSU)
    • Valerie Shalin (Kno.e.sis, Wright State University)
    • T.K. Prasad (Kno.e.sis, Wright State University)