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A Data-Driven Approach for Decision Making in a Regional Interdisciplinary Resiliency Center
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作者 Thinesh Selvaratnam Rinaz Riyaz Mohamed +4 位作者 Berna Eren-Tokgoz Liv Haselbach Ginger Gummelt Brian D.Williams matthew i.pyne 《International Journal of Disaster Risk Science》 2025年第3期513-520,共8页
Lamar University established a Center for Resiliency in 2021 in response to the increasing natural and human-made disasters in the Southeast Texas region.Now more than ever a robust decision-making framework is essent... Lamar University established a Center for Resiliency in 2021 in response to the increasing natural and human-made disasters in the Southeast Texas region.Now more than ever a robust decision-making framework is essential for this recently established regional interdisciplinary resiliency center to make well-informed decisions,prioritize funding eff ectively,and nurture collaboration across various fields to help communities vulnerable to these threats.This article provides a progress update and presents a methodology integrating VOSviewer and Google Trends to develop such a decision-making framework for the Center for Resiliency at Lamar University in the Southeast Texas region.Four prominent study areas in resilience—Climate Stressors and Disasters,Mental Wellness,Energy and Optimization,and Resilience Planning—were identified.These findings were validated with real-time insights from Google Trends,ensuring practical relevance to recent resilience needs to provide an understanding of evolving resilience dynamics.Furthermore,the paper discusses the status of research conducted at the Lamar University Center for Resiliency,showcasing its commitment to fostering resilience through diverse initiatives across five academic colleges.Integrating VOSviewer and Google Trends off ers a robust framework for informed decision making,aligning research eff orts with the Southeast Texas region’s current and future resilience needs. 展开更多
关键词 Decision making Disaster decision making Google trends Resiliency center Resilience science:voSviewer
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