Mitchell Scovell

Mitchell Scovell is affiliated with James Cook University (JCU), where he completed his PhD in 2020 on investigating psychological factors influencing cyclone mitigation behavior. His research focuses on disaster management, risk perception, and behavioral science, with a particular emphasis on cyclone preparedness in North Queensland. He also explores applications of machine learning in software engineering, such as hyperparameter tuning for clustering algorithms. Scovell has published widely in peer-reviewed journals like Risk Analysis and Natural Hazards Review, and presented at conferences including the IEEE/ACM International Conference on Automated Software Engineering and the Australasian Fire and Emergency Service Authorities Council Conference.

His work spans interdisciplinary collaborations, addressing both theoretical and applied aspects of disaster resilience. Key themes include understanding how personal experiences and demographics shape disaster mitigation decisions, and developing evidence-based strategies to enhance community preparedness. Scovell’s contributions bridge behavioral science and environmental hazards, with a focus on cyclone-prone regions.

Notable outputs include studies on protective action decision models, cluster analysis of behavioral personas, and semi-automated hyperparameter tuning methodologies. His research aims to improve predictive accuracy of damage severity and optimize communication strategies for disaster risk reduction.