Below are instructional sessions provided by Project TIER at the request of an academic or professional organization.
Data Science Institute, Atlanta University Consortium
Teaching Reproducible Research
August 4-5, 8-9, 2022
Online
This workshop introduced attendees to Project TIER’s principles and practices of integrating reproducible methods into teaching and research. The workshop featured examples in the R programming language. During the workshop, attendees created an output based on principles they learned in the workshop.
American University of Beirut
Reproducibility in Health Research
February 15 & 17, 2022
Online
Richard Ball, Jenna Krall, and Norm Medeiros conducted a workshop for American University of Beirut faculty, researchers, instructors, graduate students, and clinical researchers in computational reproducibility of statistical data analysis. Attendees were taught to apply TIER Protocol principles and practices in constructing documentation for teaching and research purposes.
Fordham University
Documenting Quantitative Research for Transparency and Reproducibility: Principles and Practices
April 14, 2021
Online
This talk, delivered to PhD students and faculty in the Department of Applied Psychology, presented a set of standards for the replication documentation (data, code, and supporting information) that authors should assemble and make public when they release studies reporting the results of research based on the analysis of statistical data. We began from first principles: What purposes are replication documentation intended to serve? And what must be true of the contents and organization of the documentation for a study if it is to fulfill those purposes? We then described how these general principles are embodied in the
particular documentation standards and tools we propose.
University at Albany (SUNY)
Reproducibility Symposium: Building Transparency into Research, Teaching, & Learning
October 24, 2019
This symposium, held in recognition of Open Access Week, included UAlbany staff and faculty actively engaged with reproducibility efforts, and external guests who have developed projects that lower the bar for broader adoption of more reproducible scholarship: Matt Ingram, Associate Professor, Political Science, Nick Schiraldi, Data Analytics and Visualization Specialist, ITS, and Kevin Tyle, Senior Programmer Analyst, Department of Atmospheric and Environmental Sciences, from UAlbany; Norm Medeiros, Associate Librarian, and Richard Ball, Professor, Economics, from Haverford College; and Ivo Jimenez, PhD candidate, Computer Science, from UC Santa Cruz.
Indiana University
Documenting Quantitative Research for Transparency and Reproducibility: Principles and Standards
January 25-26, 2018
This talk presented a set of standards for the replication documentation (data, code, and supporting information) that authors should assemble and make public when they release studies reporting the results of research based on the analysis of statistical data. Further discussion included: (i) a comparison of our proposed standards with existing guidelines, such as TOPS, DA-RT, the BITSS Handbook, and the "data policies" that have been adopted by a number of prominent journals in the social sciences, (ii) using the Open Science Framework (OSF), an on-line file management platform, for assembling and sharing replication documentation, and (iii) the curricular resources that are being produced by Project TIER for teaching and learning reproducible research methods.