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2020 Spring Symposium: Leaders in Research Transparency

Leaders in Research Transparency

A series of weekly webcasts recorded in the spring of 2020.

Leaders in research transparency discuss their latest thinking on how to make statistical research open, reproducible, and credible. Click on each speaker to learn details and access the videos.



February 7th
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Victoria Stodden

Community Efforts Advancing Reproducibility and Transparency in Data- and Computationally-enabled Research
February 14th
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Gary King

Statistically Valid Inferences from Privacy Protected Data
February 21st
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Michele Nuijten

Checking Robustness in 4 Steps
February 28th
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Daniel Lakens

Falsifying Predictions in Practice
March 6th
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Scott Long

A Computing Workflow for Reproducible Results
March 13th
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Dorothy Bishop

Why scientific reasoning is hard: The role of cognitive constraints in biasing our reasoning
March 20th
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Lars Vilhuber

Replication and Reproducibility in Social Sciences and Statistics: Context, Concerns, and Concrete Measures
March 27th
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Keith Baggerly

The Importance of Reproducibility in High-Throughput Biology: Case Studies in Forensic Bioinformatics
April 3rd
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Elise Wang Sonne

Promoting Research Transparency and Reproducibility Through Capacity-Building Trainings Across Sub Saharan Africa and Europe: Lessons Learned and Way Forward