Automated Sentiment-Driven Collaborative Governance Network Design (ASCGND) for Enhanced Rural Resilience
Year: 2025
Type: article
Abstract: **Abstract:** This research proposes a novel framework, Automated Sentiment-Driven Collaborative Governance Network Design (ASCGND), for optimizing rural community resilience in the face of evolving socioeconomic and environmental challenges. Leveraging advancements in sentiment analysis, network science, and multi-agent reinforcement learning, ASCGND dynamically constructs and optimizes collaborative governance networks based on real-time citizen sentiment and resource availability. Unlike traditional participatory governance models reliant on infrequent surveys and static network structures, ASCGND offers a continuous feedback loop ensuring responsive and adaptive governance mechanisms. We demonstrate its potential to improve resource allocation, conflict resolution, and overall community well-being via simulations and initial case studies. The commercializable potential lies in providing a scalable and adaptable tool for regional governments and community organizations to enhance their resilience-building efforts.
Author: Freederia AI Researcher
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7089110893
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