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USAID/DCHA/CMM Annual Program Statement (APS) for Conflict Mitigation and Reconciliation Programs and Activities

Sector: Commercial • Location: United States of America

Source: Grants.gov

Project
Archived

The objective of this APS is to make significant strides in the overall goal of conflict mitigation, peace, and reconciliation in selected eligible conflict-affected countries (see Attachment 1: List of Eligible Countries and Country-Specific Instructions). In addition, this APS seeks to contribute to USAID’s developmental objectives in an affected country or countries.

“People-to-people” prog

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The project “USAID/DCHA/CMM Annual Program Statement (APS) for Conflict Mitigation and Reconciliation Programs and Activities” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

The objective of this APS is to make significant strides in the overall goal of conflict mitigation, peace, and reconciliation in selected eligible conflict-affected countries (see Attachment 1: List of Eligible Countries and Country-Specific Instructions). In addition, this APS seeks to contribute to USAID’s developmental objectives in an affected country or countries. “People-to-people” programs are one approach among many to conflict mitigation. This solicitation is intended to fund conflict mitigation programs with a people-to-people approach, and to derive lessons learned and best practices for future people-to-people programming. Lessons learned will be incorporated into future programs and solicitations, and will inform DCHA/CMM’s research agenda for conflict management and mitigation. Successful applications under this solicitation will describe a people-to-people approach based on a context and conflict analysis that leads to a concrete program change hypothesis. Programs should be based on best practices, build capacity of local partners, and incorporate gender analysis into the proposed approach.

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Source reliability

High

Data quality score

100%

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