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 |
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Main Authors: | , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Public Library of Science
22-10-2020
Public Library of Science (PLoS) |
Subjects: | |
Online Access: | Get full text |
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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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Bibliography: | SourceType-Other Sources-1 ObjectType-Article-1 content type line 63 ObjectType-Commentary-2 ObjectType-Editorial-3 The authors have declared that no competing interests exist. |
ISSN: | 1553-7358 1553-734X 1553-7358 |
DOI: | 10.1371/journal.pcbi.1008226 |