HFES Perception and Performance Technical Group Webinar: Reproducible Workflows: Make Your Life Easier (and Increase the Value of Your Research)
Adopting a reproducible workflow for your computational/quantitative research is a win-win-proposition: You work more efficiently and avoid common pitfalls, and the systematic documentation you create enables other scholars to engage with and build upon your work. This webinar will sketch out the fundamental principles of conducting reproducible research, and present specifications for constructing documentation that is easily shareable and satisfies the policies for replication materials that are now commonly adopted by journals and funders. The examples we use to illustrate reproducible practices will be implemented with R Markdown, but we will emphasize that the underlying principles can be applied to research conducted with any scriptable software package.
Professor of Economics
Richard Ball is Professor of Economics at Haverford College. His primary teaching areas are game theory and statistical methods, and he supervises several senior theses every year. His research has included theoretical papers on political economy and empirical work on development and social issues. He earned his B.A. at Williams College (self-designed major in cultural anthropology and African studies); his M.S. at Michigan State University (agricultural economics); and his Ph.D. at the University of California, Berkeley (agricultural and resource economics). Richard has studied and worked in Sierra Leone, Chad, Egypt and Côte d'Ivoire.
Norm Medeiros is Associate Librarian at Haverford College where he oversees the collections management and metadata services division of the libraries. He also serves as the economics librarian, supporting the curricular and research interests of faculty, and working with students on retrieval, critical assessment, and management of scholarly and data resources. With Haverford economist Richard Ball, Norm founded and serves as co-Director of Project TIER, an initiative that promotes principles and practices related to transparency and reproducibility in the research training of social scientists.