This study aims to explore regional characteristics and social resilience in disaster recovery, seeking new possibilities for public anthropology through digital technology in response to fieldwork challenges encountered during the COVID-19 pandemic. Using a Python program developed by the author, PlaceExplorer, this research examines a 500-meter radius around disaster ruins from the Great East Japan Earthquake on online maps, collecting and analyzing reviews of nearby facilities that emerged during the recovery process.
The findings highlight the role of disaster ruins as driving forces of recovery, revealed through Google Maps review analysis, and propose a resilient social model based on case studies in Rikuzentakata, Minamisanriku, and Onagawa. The study also integrates the idea of "dynamic regional geography" through online map exploration and suggests pathways to apply findings to foster inquiry-based learning in public education. As a role of public anthropologists, it aims to provide methods for understanding local contexts through digital data and integrating diverse perspectives.
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