Have you heard about the reproducibility crisis in science (ex. in Nature and Economist)? Do you worry about false positive results? Or ever wondered how you could increase the reproducibility of your own work? Please join us for a workshop, hosted by the Center for Open Science, to learn easy, practical steps to increase the reproducibility of your work. The workshop will be hands-on. Using example studies, attendees will actively participate in creating a reproducible project from start to finish. Attendees will need to bring their own laptop in order to fully participate.

Topics we'll cover include:

• project documentation
• version control
• pre-analysis plans
• open source tools like the COS's Open Science Framework to easily implement these concepts in a scientific workflow

This workshop is aimed at graduate students and postdocs, across disciplines, who are engaged in quantitative research. The workshop does not require any specialized knowledge of programming. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows.

Speaker: Courtney Soderberg

Courtney is the Statistical and Methodological Consultant at the Center for Open Science and heads up their training programs for reproducible research methods. She has a Ph.D. in Experimental Social Psychology with a minor in Quantitative Psychology from UC Davis.

RSVP here as space is limited!