The work we are reporting here is part of a larger research project to explore the question, “how do we know if we are actually accelerating discovery?” This research is motivated by recent shifts in the availability of open data sources, cloud computing infrastructures, and new algorithms that allow examination of combinations of heterogeneous data sources. Our approach is to examine the social dimensions versus the compute and technological dimensions of data-driven discovery work to explore where co-creation occurs within heterogeneous, interdisciplinary teams. In this paper, we discuss the method and findings of the first exploratory phase of our investigation to identify conversational themes and their evolution across time as a component to determining co-creative aspects of data-driven discovery.
Anderson, L. C., & Kieliszewski, C. A. (2015). Co-creative Aspects of Data-driven Discovery. Procedia Manufacturing, 3, 3440–3447. https://doi.org/10.1016/j.promfg.2015.07.626