Summary of Prime: a Cybergis Platform For Resilience Inference Measurement and Enhancement, by Debayan Mandal et al.
PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancement
by Debayan Mandal, Lei Zou, Rohan Singh Wilkho, Joynal Abedin, Bing Zhou, Heng Cai, Furqan Baig, Nasir Gharaibeh, Nina Lam
First submitted to arxiv on: 15 Apr 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A new framework for evaluating community resilience to climatic hazards is proposed, addressing the lack of computationally rigorous tools for customized resilience assessments. The Customized Resilience Inference Measurement (CRIM) model is developed using CyberGIS, a platform combining high-performance computing and user-friendly interfaces. CRIM generates vulnerability, adaptability, and overall resilience scores based on empirical hazard parameters, which are then explained by machine learning methods in relation to socioeconomic driving factors. The Platform for Resilience Inference Measurement and Enhancement (PRIME) provides a web-based interface for users to select study areas, configure parameters, calculate and visualize resilience scores, and interpret socioeconomic factors shaping resilience capacities. A representative study demonstrates the efficiency of the platform. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Community resilience is crucial in the face of climatic disasters. Researchers have created a new tool called CRIM to help assess community resilience at different scales. The tool uses machine learning methods to understand how social factors like poverty and education affect community resilience. The Platform for Resilience Inference Measurement and Enhancement (PRIME) makes it easy for users to select areas, set parameters, and visualize the results. |
Keywords
» Artificial intelligence » Inference » Machine learning
