Ten simple rules for organizing a data science workshop

[...]Rule 10 focuses on the importance of continuously evaluating and learning from past workshops to inform future pedagogy. The breadth of knowledge required and cognitive biases of a single person could derail a workshop entirely. [...]the organization and planning of such workshops necessitate c...

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Published in:PLoS computational biology Vol. 16; no. 10; p. e1008226
Main Authors: Ponsero, Alise, Bartelme, Ryan, de Oliveira Almeida, Gustavo, Bigelow, Alex, Tuteja, Reetu, Ellingson, Holly, Swetnam, Tyson, Merchant, Nirav, Oxnam, Maliaca, Lyons, Eric
Format: Journal Article
Language:English
Published: United States Public Library of Science 22-10-2020
Public Library of Science (PLoS)
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Summary:[...]Rule 10 focuses on the importance of continuously evaluating and learning from past workshops to inform future pedagogy. The breadth of knowledge required and cognitive biases of a single person could derail a workshop entirely. [...]the organization and planning of such workshops necessitate collaboration, as the perspective of different people typically allows to develop a more inclusive training material. Connecting learning objectives from different training modules taught by different instructors requires a large effort in coordination and communication. [...]a person should be designated as the overall coordinator to ensure learning objectives from individual training modules are connected. [...]the workshop coordinator should ensure each session and learning objectives build toward the overall vision and goals of the workshop (Rule 1).
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The authors have declared that no competing interests exist.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1008226