[5F1-GS-10h] AI application

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[5F1-GS-10h-05] Can Weather Changes Help Predict Bear-Related Damage?A Case Study of Data Utilization Using HieNaR Copilot Tool

〇Kaira Sekiguchi¹, Yukio Ohsawa¹ (1. The University of Tokyo)

Keywords:

AI and Society,Design Methodology,Data Utilization

In recent years, bear-related incidents causing human injuries and agricultural damage have become a significant social concern. Developing evidence-based countermeasure scenarios is essential for damage mitigation, and the importance of data analysis to support such efforts has been increasing. This study addresses this issue as a practical example of data utilization using HieNaR CopilottTool. Specifically, we focus on temporal variations in weather conditions, an aspect that has not been sufficiently examined in previous research, and analyze their relationship with bear sightings and damage incidents. Based on our analytical findings, we evaluate the explainability and predictability of bear appearance risk using weather data, and present directions for creating social value through measures such as public awareness campaigns and administrative policy development.