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Activity Number:
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271
- Introductory Overview Lecture: Reproducibility, Efficient Workflows, and Rich Environments
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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JSM Partner Societies
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Abstract #333047
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Presentation
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Title:
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How Computational Environments Can (Unexpectedly) Influence Statistical Findings
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Author(s):
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Victoria Stodden*
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Companies:
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University of Illinois
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Keywords:
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Abstract:
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As statistical research typically takes place in a constructed environment in silico, the findings may not be independent of this environment. In this talk I will note some of the influence on reproducibility and reliability and environment can have, from p-hacking to interpretability to verifiability, and present several classes of remedies, including projects such as the Whole Tale and KBase that manage the entire discovery environment, to workflow systems designed to track research and create interpretable traces of the in silico experiment.
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Authors who are presenting talks have a * after their name.
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