Diaspora Partnership Accelerator (DPA): An Innovative Partnership Model for Leveraging New Humanitarian Voices and Solutions

Diaspora Partnership Accelerator (DPA): An Innovative Partnership Model for Leveraging New Humanitarian Voices and Solutions

USAID 2023 54 pages
Summary — This report summarizes the Diaspora Partnership Accelerator (DPA) project, which aimed to leverage diaspora organizations for humanitarian assistance in Haiti. The project supported three diaspora-led micro-projects focusing on coffee farming, disaster-resistant housing, and healthcare access. The report details the implementation, challenges, lessons learned, and recommendations for future projects.
Key Findings
Full Description
The Diaspora Partnership Accelerator (DPA) project, funded by USAID, sought to engage diaspora organizations in humanitarian assistance and disaster risk reduction efforts in Haiti. The project supported three micro-projects: Caribbrew, focusing on increasing the credibility and profitability of Haitian coffee farmers; Friends of Matènwa, aiming to improve access to safe and dignified shelter on La Gonave island; and H.O.P.E. Haiti, working to increase access to life-saving healthcare and disaster risk reduction education. The report details the activities, challenges, and successes of each project, along with capacity building efforts provided to the diaspora organizations. It concludes with lessons learned and recommendations for future iterations of the DPA model, emphasizing the importance of clear communication, DRR focus, and robust project design.
Topics
Disaster Risk ReductionEconomyAgricultureHealth
Geography
NationalLa Gonave
Time Coverage
2022 — 2023
Keywords
diaspora, humanitarian assistance, disaster risk reduction, Haiti, coffee farming, housing, healthcare, capacity building, USAID, Miyamoto International, Caribbrew, Friends of Matènwa, H.O.P.E. Haiti
Entities
USAID, Miyamoto International, Caribbrew, Friends of Matènwa, H.O.P.E. Haiti, COOPCAB, USDA, Vistant, AGERCA, Matènwa Community Learning Center, MCLC