Neciforo A. Olivar and Regina P. Galigao (Authors)
Abstract
This study employs a data mining technique to investigate the role of strategic community partnerships in promoting collective action and community engagement. By analyzing patterns and relationships in community development data, we identify key factors that contribute to disparities in community resources, social capital, and civic engagement. Our data mining approach reveals that targeted partnerships and initiatives can effectively address these disparities, enhancing collective action and community engagement. We apply clustering, classification, and regression analysis to a dataset of community development projects, uncovering insights into the impact of capacity-building programs, community outreach initiatives, and collaborative governance models on collective action. Our findings highlight the importance of inclusive and equitable community development policies in promoting equal opportunities for marginalized groups. By leveraging data mining techniques, we provide actionable insights for policymakers, community leaders, and practitioners seeking to build more resilient and cohesive communities. This study demonstrates the potential of data mining in uncovering patterns and relationships that can inform strategic community partnerships and collective action initiatives. Our research contributes to a deeper understanding of how data-driven approaches can be used to promote community engagement and address social challenges. The insights gained from this study can be used to develop more effective community development strategies, ultimately enhancing the well-being of community members. By empowering collective action through strategic community partnerships, we can create more equitable and resilient communities.
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Keywords: Leadership, School improvement, Strategy