Presenting: Leaders in Research Transparency
About the Symposium
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
Victoria Stodden
online
Statistically Valid Inferences from Privacy Protected Data
Gary King
online
Checking Robustness in 4 Steps
Michele Nuijten
online
Falsifying Predictions in Practice
Daniel Lakens
online
A Computing Workflow for Reproducible Results
Scott Long
online
Why scientific reasoning is hard: The role of cognitive constraints in biasing our reasoning
Dorothy Bishop
online
Replication and Reproducibility in Social Sciences and Statistics: Context, Concerns, and Concrete Measures
Lars Vilhuber
online
The Importance of Reproducibility in High-Throughput Biology: Case Studies in Forensic Bioinformatics
Keith Baggerly
online
Promoting Research Transparency and Reproducibility Through Capacity-Building Trainings Across Sub Saharan Africa and Europe: Lessons Learned and Way Forward
Elise Wang Sonne
online