Institutional mapping of cross-border cooperation. INTERREG programme analyses with KEEP data

In recent years, a growing number of institutional mapping approaches has reflected on border regions' development. These approaches visualise the relationship between institutional and spatial patterns. In parallel, the quality and quantity of cooperation-related information in the EU KEEP database (DB) is continuously increasing. The aim of our paper is two-fold. Firstly, we aim to understand the cooperation dynamics and funding geographies of the recent INTERREG A period. We do so with the example of cross-border programmes with German participation. More concretely, we scrutinise the relationships that exist between the spatial configurations of funded project cooperation, the involved thematic topics and the role of territorial contexts, particularly in terms of the degree of urbanisation and distance to a border. Secondly, we reflect on the potential and limitations of institutional mapping based on KEEP data. Specifically, we explore the explanatory capacity of institutional mappings based on KEEP data and discuss the blind spots that must be considered and how these could be addressed. The general conclusion from our paper is that institutional mapping based on the KEEP DB proves to be a strong data exploration tool with potential for comparative analyses. However, it has clear limitations with regard to causality testing.