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Toward a Theory of Collaboration for Data Science

The emerging field of Data Science is, by construction, an interdisciplinary, collaborative field. Statisticians, Mathematicians, and Computer Scientists work together (ideally) to create theoretically sound methods for domain experts and data scientists to apply to solve real problems. To be effective,聽
applied data scientists must collaborate with the domain experts who 鈥渙wn鈥� the data and the problems to be solved. Is there a theory describing what components contribute to effective collaboration or how an individual data scientist can become a more effective interdisciplinary collaborator?聽
Where is the theory that describes how to train data scientists at scale to become effective collaborators? In this talk I will highlight past, present, and future steps to create a theory of collaboration for Data Science.