Interim evaluation of the Re:Match pilot project – Relocation via Matching

An algorithm-based and needs-orientated solution for people seeking protection and host municipalities

DATE January 2024
AUTHORS Craig Damian Smith, PhD (Pairity), Laura Celeste, PhD (Pairity), Ahmed Mohammed, PhD (Pairity), Elisa Ertl (BGP)
CO-AUTHORS Katja Wagner (BGP), Lea Rau (BGP)
By piloting Re:Match, relocation of protection seekers within the EU was realised for the first time using an algorithm-based matching process.
This report presents the interim evaluation of the Re:Match programme, provides detailed results from the pilot phase and thus provides a comprehensive insight into the project.

The project is a partnership between the Berlin Governance Platform (BGP), Pairity and Salam Lab. Within the framework of Re:Match 78 Ukrainian asylum seekers from Poland were relocated to six German municipalities between April and September 2023. The municipalities to which the protection seekers were relocated were determined using the matching algorithm developed by Pairity. This algorithm takes into account the needs and preferences of the participants in terms of municipal services, infrastructure and available accommodation to ensure an optimal allocation.

All results in this report are based on data from participants and municipalities collected through questionnaires, interviews and evaluation workshops.

Re:Match offers a managed relocation whose long-term goal is to demonstrate how a coalition of municipalities can develop sustainable pathways for common and shared responsibility in Germany and across Europe.

The programme aims to show that matching and relocation tools can be an efficient, scalable and rights-based solution. The aim is to show solidarity with the EU’s external border states, where the largest number of people seeking protection arrive.

The participatory approach, which is based on detailed data and preferences, offers a high degree of participation, improves the quality of distribution and creates a solid basis for successful integration. The matching criteria can be iterated, weighted and extended to other municipalities based on longitudinal data on integration. The digital tools developed as part of the pilot project can optimise data exchange and lower potential entry barriers for other municipalities.

Interim report on the BGP project Re:Match - Relocation via Matching An algorithm-based and needs-oriented solution for protection seekers and host municipalities. By piloting Re:Match, relocation of protection seekers within the EU was implemented for the first time using an algorithm-based matching procedure. This evaluation provides detailed results from the Re:Match pilot phase and thus provides a comprehensive insight into the project.
DATE January 2024
AUTHORS Craig Damian Smith, PhD (Pairity), Laura Celeste, PhD (Pairity), Ahmed Mohammed, PhD (Pairity), Elisa Ertl (BGP)
CO-AUTHORS Katja Wagner (BGP), Lea Rau (BGP)
By piloting Re:Match, relocation of protection seekers within the EU was realised for the first time using an algorithm-based matching process.
This report presents the interim evaluation of the Re:Match programme, provides detailed results from the pilot phase and thus provides a comprehensive insight into the project.

The project is a partnership between the Berlin Governance Platform (BGP), Pairity and Salam Lab. Within the framework of Re:Match 78 Ukrainian asylum seekers from Poland were relocated to six German municipalities between April and September 2023. The municipalities to which the protection seekers were relocated were determined using the matching algorithm developed by Pairity. This algorithm takes into account the needs and preferences of the participants in terms of municipal services, infrastructure and available accommodation to ensure an optimal allocation.

All results in this report are based on data from participants and municipalities collected through questionnaires, interviews and evaluation workshops.

Re:Match offers a managed relocation whose long-term goal is to demonstrate how a coalition of municipalities can develop sustainable pathways for common and shared responsibility in Germany and across Europe.

The programme aims to show that matching and relocation tools can be an efficient, scalable and rights-based solution. The aim is to show solidarity with the EU’s external border states, where the largest number of people seeking protection arrive.

The participatory approach, which is based on detailed data and preferences, offers a high degree of participation, improves the quality of distribution and creates a solid basis for successful integration. The matching criteria can be iterated, weighted and extended to other municipalities based on longitudinal data on integration. The digital tools developed as part of the pilot project can optimise data exchange and lower potential entry barriers for other municipalities.

Interim report on the BGP project Re:Match - Relocation via Matching An algorithm-based and needs-oriented solution for protection seekers and host municipalities. By piloting Re:Match, relocation of protection seekers within the EU was implemented for the first time using an algorithm-based matching procedure. This evaluation provides detailed results from the Re:Match pilot phase and thus provides a comprehensive insight into the project.
DATE January 2024
AUTHORS Craig Damian Smith, PhD (Pairity), Laura Celeste, PhD (Pairity), Ahmed Mohammed, PhD (Pairity), Elisa Ertl (BGP)
CO-AUTHORS Katja Wagner (BGP), Lea Rau (BGP)
By piloting Re:Match, relocation of protection seekers within the EU was realised for the first time using an algorithm-based matching process.
This report presents the interim evaluation of the Re:Match programme, provides detailed results from the pilot phase and thus provides a comprehensive insight into the project.

The project is a partnership between the Berlin Governance Platform (BGP), Pairity and Salam Lab. Within the framework of Re:Match 78 Ukrainian asylum seekers from Poland were relocated to six German municipalities between April and September 2023. The municipalities to which the protection seekers were relocated were determined using the matching algorithm developed by Pairity. This algorithm takes into account the needs and preferences of the participants in terms of municipal services, infrastructure and available accommodation to ensure an optimal allocation.

All results in this report are based on data from participants and municipalities collected through questionnaires, interviews and evaluation workshops.

Re:Match offers a managed relocation whose long-term goal is to demonstrate how a coalition of municipalities can develop sustainable pathways for common and shared responsibility in Germany and across Europe.

The programme aims to show that matching and relocation tools can be an efficient, scalable and rights-based solution. The aim is to show solidarity with the EU’s external border states, where the largest number of people seeking protection arrive.

The participatory approach, which is based on detailed data and preferences, offers a high degree of participation, improves the quality of distribution and creates a solid basis for successful integration. The matching criteria can be iterated, weighted and extended to other municipalities based on longitudinal data on integration. The digital tools developed as part of the pilot project can optimise data exchange and lower potential entry barriers for other municipalities.

From our experience in programme design, advocacy and scaling, we also developed specific recommendations.

You can download this second report here: “Re:Match as an innovative approach for the relocation of asylum seekers. Findings and recommendations for participatory distribution and reception in European municipalities through algorithm-based matching.”