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Articles

Creating Shared Understanding in Statistics and Data Science Collaborations

ORCID Icon, ORCID Icon &
Pages 54-64 | Published online: 11 Mar 2022

Figures & data

Fig. 1 Diagram of individual thoughts of a domain expert and statistician about their knowledge and their joint declaration that actually achieves common knowledge. Used with permission from Marina Vance.

Fig. 1 Diagram of individual thoughts of a domain expert and statistician about their knowledge and their joint declaration that actually achieves common knowledge. Used with permission from Marina Vance.

Fig. 2 Common knowledge is a powerful concept. It is common knowledge of the value of money that provides money with its value. Used with permission from Marina Vance.

Fig. 2 Common knowledge is a powerful concept. It is common knowledge of the value of money that provides money with its value. Used with permission from Marina Vance.

Fig. 3 Communication scenarios between statistician and domain expert showing misunderstanding (panel A), doubtful understanding (B), common knowledge (C), and shared understanding (D). Used with permission from Marina Vance.

Fig. 3 Communication scenarios between statistician and domain expert showing misunderstanding (panel A), doubtful understanding (B), common knowledge (C), and shared understanding (D). Used with permission from Marina Vance.

Fig. 4 Shared understanding is common knowledge of the relevance of facts to the goals of a project.

Fig. 4 Shared understanding is common knowledge of the relevance of facts to the goals of a project.