Samuel Domingos has a master’s degree in Work and Organizational Psychology from the University of Évora. Currently he is a PhD candidate in the Lisbon PhD in Social Psychology program (LiSP) at ISPA – Instituto Universitário. His research focuses on the psychosocial processes involved in human appraisals (e.g., judgment) of the demands (e.g., danger; effort; and uncertainty) posed by extreme events (natural and man-made) and the available resources (e.g., knowledge, abilities, skills; dispositions; and support) to cope with them. This research seeks to advance understanding about human’s psychosocial resilience and adaptation strategies when faced with extreme events, and derive implications for risk and disaster communication.
Supervised at WJCR by: João Marôco
Domingos, S., Gaspar, R., Fonseca H., & Marôco, J. (2020). DeCodeR framework: data collection and coding for demands and resources appraisal in extreme weather events (DeCodeR framework: recogida de datos y codificación de exigencias y evaluación de recursos en fenómenos climáticos extremos). PsyEcology, 11(1), 90-103. doi:10.1080/21711976.2019.1643988
Gaspar, R., Yan, Z., & Domingos, S. (2019). Extreme natural and man-made events and human adaptive responses mediated by information and communication technologies’ use: A systematic literature review. Technological Forecasting and Social Change, 145, 125-135. doi:10.1016/j.techfore.2019.04.029
Domingos S., Gaspar R., Marôco J., Beja R. (2018) Understanding Climate Change Adaptation: The Role of Citizens’ Perceptions and Appraisals About Extreme Weather Events. In: Alves F., Leal Filho W., Azeiteiro U. (eds). Theory and Practice of Climate Adaptation. Climate Change Management. Springer, Cham.
Gaspar, R., Domingos, S., & Demétrio, P. (2018). Serving science to the public: Deliberations by a sample of older adults upon exposure to a serving size recommendation for meat. Food Quality and Preference, 66, 85-94. doi:10.1016/j.foodqual.2018.01.008
Research Gate: https://www.researchgate.net/profile/Samuel_Domingos2