Serious Gaming to Explore and Investigate Disaster Recovery Gaps

Forrest, Steven; De Ita, Cecilia; Smith, Kate; Davidson, Giles; Amen-Thompson, Ejuma

Abstract

• Purpose: To understand the potential of serious gaming as an imaginative and creative method to collect data in disaster studies that addresses key concerns such as extractive research, power inequalities, and bridging the theory-practice gap in exploring post-disaster recovery.
• Design/methodology/approach: Novel serious gaming approach deployed to connect theory-practice by identifying and co-analysing post-disaster recovery gaps in a workshop setting.
• Findings: The serious game has value in bridging theory-practice divides, identifying and exploring gaps/solutions in post-flood recovery, and as a novel social science research approach for disaster studies.
• Originality: The paper proposes a creative and co-developed serious game method of data collection for disaster studies
• Practical implications: Outlining a dialogic approach to knowledge construction between academics, practitioners, policymakers, and community voices on post-disaster recovery.
• Social implications: Fostering collaboration and knowledge construction on post-disaster recovery gaps across stakeholders is valuable in improving disaster resilience strategies that benefit communities affected by disasters.

Citation

Forrest, S., De Ita, C., Smith, K., Davidson, G., & Amen-Thompson, E. (in press). Serious Gaming to Explore and Investigate Disaster Recovery Gaps. Disaster Prevention and Management, https://doi.org/10.1108/DPM-01-2024-0035

• Journal Article Type: Article
• Acceptance Date: Apr 29, 2024
• Online Publication Date: Jun 4, 2024
• Deposit Date: May 6, 2024
• Publicly Available Date: Jun 4, 2024
• Journal: Disaster Prevention and Management
• Print ISSN: 0965-3562
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1108/DPM-01-2024-0035
• Keywords: Disaster recovery; Flood resilience; Serious gaming; Creative method
• Public URL: https://hull-repository.worktribe.com/output/4660660