Approaches to Matching in Sponsorship and Complementary Pathways for Refugees and Other People in Need of International Protection
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Highlights
Effective refugee sponsorship matching balances beneficiary preferences, community capacity, and digital tools—but demands robust data collection and monitoring.
- Most refugee and sponsor matching is still done manually by government or civil-society staff, which is effective but resource-intensive. Outcomes improve if programmes incorporate beneficiaries' preferences and consent in placement decisions.
- Digital tools—from searchable talent databases to preference-matching algorithms—can speed matching and improve quality, but risk replicating bias if poorly designed.
- Transnational affinity groups including diaspora, LGBTQI+ networks, and human-rights defender communities can expand protection pathways and enable more targeted matching for specific vulnerable populations.
- Programmes must build in systematic data collection and monitoring from the outset; most currently lack baseline data needed to evaluate whether matching procedures improve long-term integration outcomes.
The viability and long-term sustainability of sponsorship and complementary pathway programs depend, in part, on achieving a good fit between the characteristics of arriving program beneficiaries (whether refugees or other people in need of international protection) and the supports and services available in the communities where they settle. This fact sheet answers questions such as: How do programs match beneficiaries with receiving communities, sponsors, or employers? What are the benefits and limitations of conducting matching by hand or with the use of digital tools? And what practices can help programs make better matches?
This fact sheet is part of the Complementary Pathways Network (COMET) project. Other fact sheets developed by MPI Europe as part of this series cover monitoring and evaluation, refugee expectations management, and volunteer engagement in sponsorship and complementary pathway programs.
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