Presented by the Nebraska Chapter of the American Statistical Association in partnership with the ASA Council of Chapters.
Sponsored By: Great Plains IDeA-CTR, Mutual of Omaha, University of Nebraska Omaha's Department of Mathematical and Statistical Sciences, Clarkson College
Instructors:
Gregory Hunt, Assistant Professor, Department of Mathematics, College of William
Mary Johann Gagnon-Bartsch, Associate Professor, Department of Statistics,
University of Michigan
Schedule:
Monday, October 20th: Noon - 4:00 pm
Tuesday, October 21st: Noon - 4:00 pm
All times are Central Daylight Time
Registration closes on Sunday, October 19th at 11:30 pm!
A Zoom link will be emailed out to registered attendees prior to the start of the event.
Refund requests will be honored for the price of the event (not the Eventbrite fees). Substitutions are permitted. Contact amstat.nebraska@gmail.com with any questions.
Course Description:
Ensuring analyses are reproducible is fundamental to the scientific process. In addition, it is important that these analyses can be easily shared, accessed, and explored. While critical, building analyses that are computationally reproducible, shareable, and accessible is not a trivial task. This issue has captured attention in the statistical and scientific community, leading to the development of a diverse array of tools and best practices aimed at addressing these challenges. We offer a half-day course that combines a conceptual discussion of reproducibility along with a practical, structured exploration of tools and methods that can be easily adopted to enhance reproducibility and shareability of everyday analyses.
Instructor bios coming soon!
