A. de Moor (2019). Co-Discovering Common Ground in a Collaborative Community: The BoostINNO Participatory Collaboration Mapping Case. In Proceedings of C&T 2019, June 3–7, 2019, Vienna, Austria
Collaborative communities are learning communities aimed at accomplishing common goals within often complex collaboration ecosystems. Their development requires catalyzing the process of co-discovering collaborative common ground. BoostINNO was an EU networking project aimed at building a collaborative community in which ten major European cities who are leaders in social innovation shared knowledge lessons learnt. We show how the CommunitySensor participatory community network mapping methodology and the Kumu online network visualization tool were combined to support participatory collaboration mapping among the BoostINNO community members. Two experiments were conducted: (1) finding collaboration partners and (2) comparing social innovation lessons learnt on urban spaces developed by each of the cities. We found that the mapping process indeed helped to trigger and focus productive sensemaking conversations. Limitations include the complexities of the maps, the mapping technology, and lack of dedicated time for sensemaking processes. Still, promising proof of concept has been shown in using participatory collaboration mapping for common agenda setting towards collective impact.
A. de Moor (2018). Common Agenda Setting through Participatory Collaboration Mapping: a Knowledge Base-Driven Approach. In 16th Prato CIRN Conference 24-28 October 2018, Monash Centre, Prato, Italy.
Globalizing society faces an ever-expanding web of wicked problems. Community networks are at the heart of building the required collaboration capacity for achieving collective impact. One bottleneck is the process of common agenda setting among such widely diverging stakeholder networks. Participatory collaboration mapping can help build firmer actionable and conceptual common ground between existing projects, programs, and initiatives on which to base the common agenda-setting process in community networks. By jointly creating and aligning collaboration maps, stakeholders can catalyze, augment, and connect existing collective impact initiatives. To be scalable, this requires a knowledge base-driven approach. We introduce the CommunitySensor process model of participatory collaboration mapping for common agenda setting. We then outline the knowledge base architecture supporting this process. We apply the architecture to a case of participatory mapping of agricultural collaborations in Malawi. We illustrate some components of a knowledge base-driven participatory collaboration mapping process for common agenda setting: (1) working with a federation of collaboration ecosystem maps all sharing at least partially the same community network conceptual model; (2) building more actionable common ground through defining relevant conversation agendas; (3) discovering conceptual common ground through semantic community network analysis.
A. de Moor (2018). Participatory Collaboration Mapping in Malawi: Making Mike’s Community Informatics Idea(l)s Work, The Journal of Community Informatics, 14(2-3):109-115.
In this tribute to Michael Gurstein, we first summarize three of his key concepts: Community Informatics, Effective Use, and Community Innovation. We then apply his ideas to a case on participatory collaboration mapping in Malawi. We end the tribute with a reflection and re-iterating Mike’s call for Community Informatics research and action to keep meeting.
A. de Moor (2018). A Community Network Ontology for Participatory Collaboration Mapping: Towards Collective Impact, Information 2018, 9(7): art. no. 151.
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.
A. de Moor (2017). CommunitySensor: Towards a Participatory Community Network Mapping Methodology. The Journal of Community Informatics, 13(2): 35-58.
Participatory community network mapping can support collaborative sensemaking within and across communities and their surrounding stakeholder networks. We introduce the CommunitySensor methodology under construction. After summarizing earlier work, we show how the methodology uses a cyclical approach by adopting a Community Network Development Cycle that embeds a Community Network Sensemaking Cycle. We list some observations from practice about using community network mapping for making inter-communal sense. We discuss how extending the methodology with a pattern-driven approach benefits the building of bridges across networked communities, as well as the sharing of generalized lessons learnt. To this purpose, a community collaboration pattern language is essential. We show initial work in developing and using such a language by examining the cross-case evolution of core community network interaction patterns.
S. Copeland and A. de Moor (2017). Community Digital Storytelling for Collective Intelligence: towards a Storytelling Cycle of Trust. AI & Society, https://doi.org/10.1007/s00146-017-0744-1 (download preprint or read article online).
Digital storytelling has become a popular method for curating community, organisational, and individual narratives. Since its beginnings over 20 years ago, projects have sprung up across the globe, where authentic voice is found in the narration of lived experiences. Contributing to a Collective Intelligence for the Common Good, the authors of this paper ask how shared stories can bring impetus to community groups to help identify what they seek to change, and how digital storytelling can be effectively implemented in community partnership projects to enable authentic voices to be carried to other stakeholders in society. The Community Digital Storytelling (CDST) method is introduced as a means for addressing community-of-place issues. There are five stages to this method: preparation, story telling, story digitisation, digital story sense-making, and digital story sharing. Additionally, a Storytelling Cycle of Trust framework is proposed. We identify four trust dimensions as being imperative foundations in implementing community digital media interventions for the common good: legitimacy, authenticity, synergy, and commons. This framework is concerned with increasing the impact that everyday stories can have on society; it is an engine driving prolonged storytelling. From this perspective, we consider the ability to scale up the scope and benefit of stories in civic contexts. To illustrate this framework, we use experiences from the CDST workshop in northern Britain and compare this with a social innovation project in the southern Netherlands.
Just published: A. de Moor (2015). Knowledge Weaving for Social Innovation: Laying the First Strand. In Proc. of the 12th Prato Community Informatics Research Network Conference, November 9-11, 2015, Prato, Italy, pp.51-64. ISBN 978-0-9874652-4-5.
Society consists of a web of interconnected communities. A large body of research and practice exists on how to make communities work. Still, the intersection and interaction of multiple communities – the development and use of their inter-communal commons – is ill-understood. Social innovation is the process in which relevant stakeholders jointly develop solutions to wicked problems that none of them can solve on their own. As such, it is a prime example of the need for multiple stakeholder communities collaborating. We propose a process for building a networked community-commons called knowledge weaving. This is a reflective sensemaking effort in which existing communal knowledge sharing practices, initiatives, and resources are tied together into coherent commons-based knowledge fabrics that support intercommunal collaboration, such as for social innovation. We illustrate the approach with the case of the European Social Innovation Week 2015 pre-events.