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.
The biennial Communities and Technologies (C&T) conference is the premier international forum for stimulating scholarly debate and disseminating research on the complex connections between communities – in their multiple forms – and information and communication technologies.
It is one of my favorite conferences, and as usual, it was an amazing meeting of minds. See the tweet stream for an impression of the topics discussed. More on the paper I presented in a future post.
After the conference, some of us took a tour of the futuristic new campus of the Vienna University of Economics and Business. The buildings are phenomenal, however, what really struck me was how the concept of the campus being a community space has been designed into everything, from the overall master plan of the campus area to very specific building details. Instead of constructions creating artificial barriers between people, this campus in everything promotes the meeting and mingling of people and the building of community. There is a lesson or two to be learnt here by us working on community building with ICTs, where we often still let technology get in the way instead of acting as a community catalyst….
At any rate, a great symbol of where the worlds of physical architecture and online community spaces meet is this picture, where the three words I am pointing at neatly summarize what I am working on with CommunitySense. I am eager to further explore how the worlds of “traditional” urban planning & architecture and community informatics can mesh. Surely to be continued…
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.
Last week, I gave a presentation at the 12th edition of the PechaKucha Tilburg event. PechaKucha is a lively presentation format in which anybody can share an idea(l), project or passion close to their heart. The challenge is that this has to take place in 20 slides of 20 seconds each, so you really need to be very focused in telling your story in exactly (and only…) 6 minutes and 40 seconds! As the photos attest, the event taking place in the Tilburg theatre De Nieuwe Vorst was packed and the atmosphere was vibrant.
In my presentation, I talk about the need for new ways to look at and address the multitude of “wicked problems” such as climate change, biodiversity loss, poverty, and migration that humanity has to deal with. I introduce my CommunitySensor methodology for participatory community network mapping and show how it has been applied, together with network visualization tool Kumu to strengthen agricultural collaborations in Malawi, as described in more detail in this post.
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.
Mapping a community network is an art as much as a science. Solid methodology is important for professional purposes, of course (see for heavy-duty mapping processes the CommunitySensor methodology for participatory community network mapping). Still, don’t let the need for formalized process get in the way of starting to make more sense of your own community. Rather than waiting until you have it all figured out, just get going and get your mapping hands dirty. No need to use fancy tools, just start capturing and reflecting upon what you see, using only a sheet of paper, if need be. You can always convert those paper representations into electronic form later.
Asking the right questions
Here are some of the key questions useful for starting your own community network mapping process. Starting point in your analysis should be the interactions that make up the community. You can’t simply “declare a community to be”:a thriving, healthy community is an evolving network of vibrant interactions. Here are some of the key aspects of these community interactions to be mapped:
What are key community interactions? These include activities, workflows, business processes, initiatives, projects or whatever else you call the dynamics that make your community tick.
Which participants are involved in starting, doing, and evaluating these interactions? Participants can be individual persons, roles people play, organizations, networks, or even other communities. Don’t just look at those involved in doing the interaction, but also those participants who play a role in getting the interactions going, and interpreting their outputs and outcomes.
What key content is being used/produced in what interactions? Don’t try to map all bits and pieces of information. Instead, focus on core content (such as important resources, products, and stories that act as collaborative bridges between participants and interactions.
Which online and physical tools are being used to support the interactions? Don’t just look at the fancy “digital community tools”. A face-to-face meeting in a village center is also a tool, and a very powerful one at that!
What are the links between the interactions? One major issue caused by today’s communication overload is that we start to lose the context of our interactions. Don’t just map the interactions themselves, but also how they interconnect. For example, does the completion of one interaction cause another one to start? Should participants of one interaction at least be aware of the outputs of another interaction?
What are important quality aspects of the elements and connections mapped? Think, for instance, of aspects like priority, timeliness, legitimacy and acceptability that indicate how to interpret specific parts of your map. These quality aspects are important triggers for productive sense-making conversations following the making of the map.
Tips & tricks to get started
Map making is expensive. Think carefully about in what level of detail you are going to model elements and connections, and when you need to update the map. Capturing less is more. Try to follow natural reporting rhythms, instead of making the provision of mapping data an extra chore.
Reuse existing data (e.g. from spreadsheets or organizational documents) when making your map. However, don’t limited yourself to what data is ready at hand. Often, the most useful data is still in the heads of community members.
Maps are a means, not an end. The mapping process does not end when a version of the map has been produced, but only really starts then. Use (relevant parts of) the maps by referring to them in meetings, workshops, and online conversations. Share links to relevant parts in social media. In this way, continue to make sense with the community stakeholders.
Communities and social networks overlap. There is a continuum between the social networks and communities making up community networks. Social networks are about relationships, interactions, and connections between people and act as a resource for knowledge sharing and problem solving. Communities refer to developing a shared identity around a theme and collectively learn and develop knowledge about it (see Team BE for a great explanation). No communities can flourish without being embedded in multiple social networks. Vice versa, out of social networks, communities often naturally emerge. Don’t try to make artificial distinctions between the two types of collectives. Just keep looking for interesting “densifications” in the community network map, and leave the conceptual nitpicking to academics 🙂
Iterate, iterate, and re-iterate. Mapping is never done. It is never complete, nor ever completely accurate. That doesn’t matter. Community network mapping is about boosting participation, creating a sense of community and empowerment. It is much more about the process than about the artefact. Make the process work. Get people to smile, their eyes to sparkle, and their mouths to talk. That’s when you know your mapping work is taking off!