Community-Level Analysis Framework For Assessing Communities in Violent Extremist Conflict Zones
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The Community-Level Analysis Framework for Assessing Communities in Violent Extremist Conflict Zones is a comprehensive tool designed to identify and analyze communities vulnerable to violent extremism.
2019 · 44 pages

Abstract
The framework was developed by International Business & Technical Consultants, Inc. (IBTCI) under contract with the United States Agency for International Development (USAID). The framework's purpose is to provide a structured approach for assessing community-level factors that contribute to violent extremism. It identifies key indicators and data sources to inform decision-making and program implementation. The framework is designed to be adaptable to various contexts and can be used by a range of stakeholders, including policymakers, practitioners, and researchers. The framework consists of eight community-level factors, including demographics, history, social networks, economic resources, leadership, information, attitudes, and community competence. Each factor is further broken down into specific indicators and data sources, which are listed in the framework's annexes. The framework's methodology is based on a mixed-methods approach, combining both qualitative and quantitative data collection and analysis methods. The framework's authors drew on existing analytical tools and frameworks, including the Vulnerability and Resilience Assessment Initiative (VRAI) and the Conflict Assessment Framework (CAF 2.0). The framework's application is demonstrated through a case study of the Sahel region, where violent extremism has been a significant concern. The framework's authors analyzed data from various sources, including the Armed Conflict Location and Event Data Project (ACLED) and the African Development Bank (AfDB). The framework's conclusions highlight the importance of considering community-level factors in assessing vulnerability to violent extremism. The authors emphasize the need for a nuanced understanding of the complex interactions between these factors and the role of context-specific data in informing decision-making. The framework's annexes provide additional information on the methodology used to develop the framework, as well as a review of existing frameworks and tools. The framework's authors also provide a list of works reviewed and consulted in the development of the framework. Overall, the Community-Level Analysis Framework for Assessing Communities in Violent Extremist Conflict Zones provides a valuable tool for policymakers, practitioners, and researchers seeking to understand and address the complex challenges of violent extremism.
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