Wicked societal problems, such as environmental issues and climate
change, are complex, networked problems involving numerous intertwined issues,no optimal solutions, and a wide range of stakeholders. Cities are problem owners and living labs for finding solutions through design-enabled innovation initiatives. However, to reach collective impact, it is paramount that these initiatives can learn from one another and align efforts through collaborative sensemaking. In the MappingDESIGNSCAPES project, we piloted a participatory collaboration mapping approach for cross-case sensemaking across design-enabled urban innovation initiatives. We used the CommunitySensor methodology for participatory community network mapping together with the Kumu online network visualization tool to help representatives of three urban prototype cases share and collectively make sense of their design lessons learnt. In this second of two papers, we build on the participatory mapping foundation introduced in [1]. We describe the collaborative sensemaking approach used, then present the core collaboration patterns and
common perspectives that form the sensemaking scaffolding. We show how we
collaboratively made sense by first taking individual perspectives, then making
common sense together. An extended discussion puts our findings in a larger context of how an approach like MappingDESIGNSCAPES can be used to move from collaborative sensemaking to collective impact in design-driven urban innovation.@en

This workshop is concerned with the potentials and barriers of data in facilitating bottom-up innovation. We focus on two specific communities that could benefit from utilizing data, but may struggle currently. Firstly, civil society participating in grassroots actions, who use public data for innovation and to strengthen their advocacy. Secondly, organisations - especially SME's - who want to make use of data, especially large complex data sets, to design data-driven services.@en