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MCC Cooperative Agreement Opportunities

Partnership through APS

MCC’s Partnership Annual Program Statement (APS) is the agency’s primary mechanism by which we co-create, co-fund, and co-implement partnerships that support MCC’s ability to design programs, utilize new approaches for due diligence, and monitor and evaluate programs. Partnerships through the APS result in Cooperative Agreements with cost-sharing by partners, which may be individual organizations or a combination of organizations teaming together.
How the APS Works
Step 1 Step 2 Step 3 Step 4 Step 5 Step 6 Step 7
MCC issues opportunity statement Applicant submits concept note MCC reviews concept note Invited applicant engages in co-creation with MCC Invited applicant submits full application MCC reviews full application Selected applicant and MCC partner

Current Opportunities

The current APS announcement period is March 26, 2019 to March 31, 2023. Opportunity statements are added periodically. Recent opportunities have closed. Additional partnership opportunities may be added over the course of the APS announcement period.

To learn more about the APS, please see the Partnerships with MCC Program APS on grants.gov, the definitive source for information and guidance related to opportunities and how to apply. Please send any questions or general correspondence about the APS to MCC by email.

Learn more about previous APS opportunity statements, applicants and awardees.

Example Partnerships

MCC and Bridges to Prosperity (B2P) are partnering to increase rural communities’ access to infrastructure and education through the construction of last-mile trail bridges. The MCC-B2P partnership will complement compact investments in rural communities in the San Pedro and Gbêkê regions of Côte d’Ivoire, where many MCC-supported secondary schools are difficult to access by students, especially during the rainy season.

MCC is partnering with NASA (satellite technology), RTI International (drone technology), and Mathematica (independent evaluator) to use high-resolution drone imagery to identify crops, whose locations are then used to train satellite models. Together with crop yield data, this enables models to predict and test accuracy of crop identification and agricultural yield in other locations. NASA will then work to develop approaches and tools to use satellite data to continuously monitor and evaluate the impacts of irrigation infrastructure and land restoration investments on pastureland quality, crop density, and yield. Ultimately, these innovative approaches and tools will be added to Mathematica’s data collection and analysis toolkit for delivering detailed results and learning about MCC’s Irrigation and Market Access Project in Niger.