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.
Community Efforts Advancing Reproducibility and Transparency in Data- and Computationally-enabled Research
Checking Robustness in 4 Steps
Falsifying Predictions in Practice
Why scientific reasoning is hard: The role of cognitive constraints in biasing our reasoning
Replication and Reproducibility in Social Sciences and Statistics: Context, Concerns, and Concrete Measures
The Importance of Reproducibility in High-Throughput Biology: Case Studies in Forensic Bioinformatics