A Community Network Ontology for Participatory Collaboration Mapping: Towards Collective Impact

Abstract

Addressing societal wicked problems requires collaboration across many different community networks. In order for community networks to scale up their collaboration and increase their collective impact, they require a process of inter-communal sensemaking. One way to catalyze that process is by participatory collaboration mapping. In earlier work, we presented the CommunitySensor methodology for participatory mapping and sensemaking within communities. In this article, we extend this approach by introducing a community network ontology that can be used to define a customized mapping language to make sense across communities. We explore what ontologies are and how our community network ontology is developed using a participatory ontology evolution approach. We present the community network conceptual model at the heart of the ontology. We show how it classifies element and connection types derived from an analysis of 17 participatory mapping cases, and how this classification can be used in characterizing and tailoring the mapping language required by a specific community network. To illustrate the application of the community network ontology in practice, we apply it to a case of participatory collaboration mapping for global and national agricultural field building. We end the article with a discussion and conclusions.

Keywords

• ontology engineering
• community networks
• participatory mapping
• collective impact
• community informatics
• socio-technical design