It’s hard to create effective interdisciplinary teams or facilitate useful interdisciplinary exchanges. Research grants are increasingly calling for interdisciplinary collaboration as a requirement for funding. Interdisciplinary endeavors are popping up in academic settings and research foundations. Interdisciplinarity is a necessity for solving complex problems. But executing interdisciplinary collaboration is easier said than done. Data science and data visualization can help, by identifying fruitful common ground between people with different expertise. Software can systematize effective interdisciplinary collaboration.
A collaborative blog series about collaborative research: a data scientist and a cognitive psychologist combine perspectives. co-authored by Dr. Alicia Knoedler and Dave King Dr. Alicia Knoedler: For the past 18
Author – Dave King, CEO/Founder of Exaptive Innovation requires collaboration, but collaboration is stuck in a rut. Data science can help us climb out. It can increase the scale, the intentionality, and the