Tiny Data: Situated Data Analysis to Support Community Decision Making

in CHI 2015 Alternative Systems Workshop, Conference abstract/presentation slides, Seoul


Locally relevant data is important in order to support local decision making processes. Previous research has focused on collaborative capture of such data, rather than facilitating collaborative analysis. In this position paper, we put forward the argument that introducing tools for analysis into shared community spaces can facilitate this type of community analysis for groups with a co-located component, such as community growing groups (e.g. urban community farms). We propose to use participatory design with a community growing group in combination with exploratory experimental probes in shared urban spaces to examine this area.