Custom resources to meet your needs
We are happy to deliver custom-designed workshops at interested institutions, or to provide resources to support individuals wishing to host their own. Please be in touch if you could use our help; we would be happy to collaborate with you. Resources are provided at no cost, thanks to our generous supporters. Learn more about the options we offer below.
Custom-designed workshops
Project TIER's Faculty Development Workshops are designed for college and university educators who are interested in integrating principles of transparency and reproducibility into quantitative methods courses and research training. The workshops introduce participants to methods for conducting and documenting empirical research that ensure the reproducibility of all computational results, and then present a range of pedagogical strategies and curricular resources for teaching these methods to students in a variety of educational settings. TIER is happy to provide custom-designed workshops for interested institutions to meet your unique needs.
Supporting faculty members
We are happy to provide resources to faculty members or other interested individuals interested in hosting their own workshops. We also offer consultation on classroom implementation including course materials, sample exercises, and syllabus development support.
Get in touch
Please be in touch if you could use our help; we would be happy to collaborate with you: info@projecttier.org
Past Instructional Sessions
Below are instructional sessions provided by Project TIER at the request of an academic or professional organization.
Data Science Institute, Atlanta University Consortium
Human Factors and Ergonomics Society: HFES
April 19, 2023
Online
Project TIER Directors Richard Ball and Norm Medeiros will discuss the benefits to researchers of adopting a reproducible workflow for computational/quantitative work. The 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 used 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.
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.