Creating Shared Understanding in Statistics and Data Science Collaborations. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Vance, Eric A.; Alzen, Jessica L.; Smith, Heather S.
• Is Part Of: Journal of Statistics and Data Science Education. Volume 30:Issue 1(2022)
• Page Start: 54
• Page End: 64
• Publication Date: 2022-01-02
• Subjects: Common knowledge -- Communication -- Consulting -- Doubtful understanding -- Statistical practice -- Statistics education
• DOI: Https://www.tandfonline.com/doi/10.1080/26939169.2022.2035286
• Languages: English
• ISSNs: 2693-9169

Abstract

Abstract: Statisticians and data scientists have been called upon to increase the impact they have through their collaborative projects. Statistics and data science practitioners and their educators can achieve and enable greater impact by learning how to create shared understanding with their collaborators as well as teaching this concept to their students, colleagues, and mentees. In this article, we explore and explain the concepts of common knowledge and shared understanding, which is the basis for action to accomplish greater impacts. We also explore related concepts of misunderstanding and doubtful understanding. We describe a process for teaching oneself and others how to create shared understanding. We conclude that incorporating the concept of shared understanding into one's practice of statistics or data science and following the steps described will result in having more impact on projects and throughout one's career.