Past events
How to Teach Reproducibility in the Classroom (BITSS)
Fernando Hoces de la Guardia
Building a Community from Open Scholarship Pedagogy with FORRT
Sam Parsons & Flavio Azevedo
LUSTRE: An online tool for training students in data management and data sharing
John Towse, Rob Davies, Rebecca James, Ellie Ball
Reproducibility Education in an Undergraduate Capstone Course
Rachel Hayes-Harb
Keynote: Transparent & Reproducible Analysis as a Key Component of Data Acumen
Nicholas Horton
Creating a Curriculum Centered on Reproducible Research for the Psychologists of the Future
Phil McAleer
A Practical Approach to Teaching Reproducibility
Jessica Sullivan
Incorporating an Accessible Reproducibility Workflow into Entry-Level Courses
Nicholas Bussberg
Consistency is key: A case study in R Syntaxes
Amelia McNamara
Faculty Development Workshop @ Atlanta University Center Consortium
This workshop introduced participants to protocols for conducting and documenting empirical research that ensure the reproducibility of all computational results. Attendees were presented with pedagogical strategies and curricular resources for teaching these methods to students in a variety of educational settings. The objective was to help instructors develop plans for teaching reproducible research practices that will be feasible and effective in their particular contexts, so that they are fully prepared to implement the methods presented at the workshops when they return to their home institutions.
2021 Spring Symposium
Instruction in Reproducible Research: Educational Outcomes
Keynote: Teaching Replication
Nicole Janz
Symposium on Instruction in Reproducible Research
The 2021 TIER Spring Symposium was an eight-part virtual event exploring the educational purposes of teaching students transparent and reproducible methods of quantitative data analysis. Taking a step back from the nuts and bolts of code and software, the Symposium focused on the diverse ways in which teaching reproducible research methods can reinforce principles that are fundamental to higher education (e.g., the importance of reasoned argument based on verifiable evidence), and contribute to students' broad intellectual development (e.g., gaining confidence in their ability to independently generate meaningful insights into real and important issues).
Educating for Reproducibility: Pathways to Research Integrity
The 2020 round of this annual two-day event, originally scheduled to take place in-person in March, was instead conducted virtually in December.
TIER Co-director Richard Ball participated in a panel on "Learning Across Disciplines: Approaches to Develop Reproducibility Education for Post-Graduates/Professionals."
View the panel here.
Workshop on Reproducible Research in Epidemiology
This workshop was organized by Sam Harper, a 2019-20 TIER Fellow. It provided: 1) an introductory, high-level overview of what it means to engage in reproducible research; 2) guidance on how to create a management plan for a research project and a structured workspace for the project that facilitates a reproducible workflow; 3) a discussion of pre-registration and pre-analysis plans for both experimental and observational research designs; 4) an introduction to version control and dynamic documents; and 5) tools and guidance for how to ethically and responsible share the outputs of a research project, including data, code, and research reports.
TIER Network Conversation: What is new in TIER Protocol version 4.0?
Version 3.0 of the TIER Protocol--Project TIER's flagship guidance for conducting and documenting reproducible research--has been posted since October 2016. We are now nearing completion of a thoroughly revised version 4.0, which will be posted late 2020 or early 2021.
Project TIER co-director Richard Ball gave a presentation on what is new in TIER Protocol 4.0--such as automated saving of output, emphasis on relative directory paths to make research compendia portable, and a design that allows more content to be delivered in a streamlined format.
Council on Undergraduate Research, Biennial Meeting
This workshop was cancelled because of the COVID-19 pandemic.
2019-20 TIER Fellow Megan Becker and TIER co-director Richard Ball presented a workshop on "Promoting Transparency, Reproducibility, and Replication in Undergraduate Research."
Society for the Improvement of Psychological Science: Workshop and Hack-a-thon at SIPS Annual Meeting
Because of the coronavirus pandemic, all of the SIPS 2020 Annual Meeting, including these events, were conducted virtually.
2019-20 TIER Fellow Kara Moore and TIER workshop alumni Jordan Wagge and Jack Arnal convened a Project TIER faculty development workshop and soups-to-nuts exercise writing hack-a-thon.
All of the SIPS 2020 annual meeting, including these events, were conducted virtually.
SAA 2020 Workshop: Teaching integrity in empirical archaeology
Because of the coronavirus pandemic, the 2020 SAA Annual Meetings, including this workshop, were cancelled.
Ben Marwick (Professor of Archaeology at the University of Washington and 2019-20 TIER Fellow) and Li-Ying Wang (Doctoral Student in Archaeology at the University of Washington) presented a workshop for educators interested in integrating principles of transparency and reproducibility into teaching archaeology. It introduced protocols for conducting and documenting empirical research that ensure the reproducibility of all computational results, and then presented a range of pedagogical strategies and curricular resources for teaching these methods to students in a variety of educational settings.
Curating for Reproducibility: How to make your thesis, dissertation, or scientific paper transparent and reproducible
Because of the coronavirus pandemic, the 2020 PAA Annual Meetings, including this workshop, were cancelled.
This half day workshop introduced participants to practical strategies for publication-ready and independently understandable research materials for reproducibility. The workshop was based on the data quality review, a framework for helping ensure that research data are usable, that code executes properly and reproduces analytic results, and that all digital scholarly objects are well documented. The workshop introduced models for putting this framework into practice developed by the co-founders of the Curating for Reproducibility (CURE) consortium composed of the Institution for Social and Policy Studies (ISPS) at Yale University, the Cornell Institute for Social and Economic Research (CISER) at Cornell University, and the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.