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Matt is an expert on the development and application of shared problem representation methods, including mental model influence diagrams, decision conferencing, and conversation analysis. As a Senior Scientist at Aptima, his research focuses on team cognition and development of shared situational awareness in engineering, military, and other applications. Prior to Aptima, Matt was a Research Psychologist and Department of Defense SMART (Science, Mathematics & Research for Transformation) Program Scholar with the U.S. Army Engineer Research and Development Center. As a SMART Fellow, he led work on resilience, readiness, and interventions which influence these constructs at the unit, organizational, and community level for clients including Army Research Institute and the Army Study Program. He also worked with a variety of DoD and Federal agencies including Joint Personnel Recovery Agency, Defense Threat Reduction Agency, U.S. Environmental Protection Agency, and NOAA National Marine Fisheries Service.
Matt holds a Ph.D. in Cognitive Psychology from Carnegie Mellon University, M.S. from Villanova University, and B.A. from Elizabethtown College (PA).
Palma-Oliveira, J., Trump, B., Wood, M., Linkov, I. (2018). Community-driven hypothesis testing: A solution for the Tragedy of the Anticommons. Risk Analysis, 38(3), 620-634.
Wood, M. D., Thorne, S., Kovacs, D., Butte, G., & Linkov, I. (2017). Mental Modeling Approach: Risk Management Application Case Studies. New York: Springer.
Wood, M. D., Chen, P., Fu, K., Cagan, J., & Kotovsky, K. (2014). The role of team interaction structure on individual and shared mental models. In J. S. Gero (Ed.), Design Computing and Cognition ’12. New York: Springer. DOI: 10.1007/978-94-017-9112-0_12.