There is more and more evidence that findings from many scientific studies cannot be reproduced, casting doubt on the reliability of these studies.
On October 26, 2018, at the ‘Reproducibility and Integrity in Scientific Research’ workshop, we will discuss the extent of this replication crisis, explore various methods that can be used to check whether a study can be replicated, and present tools that can be used to make one’s own research more reproducible and trustworthy.
- Date: Friday 26 October, 9:00am – 17:00pm
- Place: UC Business School, Meremere, Room 236
- Registration (important for catering purposes): email firstname.lastname@example.org
Speakers and titles of the presentations
[you can find abstracts here]
- Anton Angelo (UC Library): Transparency and reproducibility – It’s all about layers.
- Arin Basu (UC Health Sciences): What about Why?
- Annette N. Brown (FHI 360, Chief Science Office): Which tests not witch hunts: A diagnostic approach to conducting replication research
- Brian Haig (UC Psychology): Understanding replication in a way that is true to science.
- Jeff Miller (University of Otago, Psychology): The statistical fundamentals of (non)-replicability
- Thomas Pfeiffer (Massey University, Computational Biology/Biochemistry): Betting on your peers’ results: A tale of three markets
- Robert Reed (UC Business School): An update on the progress of replications in economics
- Philip Schluter (UC Health Sciences): A Bayesian alternative to hypothesis testing
- Eric Vanman (University of Queensland, Psychology). How pre-registrations can improve science: Tales from the front-line
- Ben Wood (Integra LLC): Lessons learned from running a social science replication program
|9:35-11:05||SESSION: Replication – Theory and Current Status|
|11:30-12:30||SESSION: How to Detect the Truth|
|13:30-15:00||SESSION: Making Research More Reproducible|
|15:30-16:30||SESSION: Observations from the Front Lines|
More information on the replication crisis can be found on the Replication Network Website
This workshop is supported by the University of Canterbury Business School Research Committee.