Past events
Roundtable on Teaching Undergraduate Research Methods
Richard Ball participated in a roundtable discussion on Teaching Undergraduate Research Methods.
2020 Toronto Workshop on Reproducibility
Aneta Piekut, TIER Executive Committee member, delivered a presentation entitled " Integrating reproducibility into the curriculum of an undergraduate social sciences degree" at the 2020 Toronto Workshop on Reproducibility.
Reproducibility in Health Research
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.
Streamlining Workflow in Quantitative Methods Instruction and Research Supervision [webinar]: January 19
A free webinar for faculty and staff at HBCUs about how to increase efficiency by incorporating transparency and reproducibility in quantitative methods instruction.
Streamlining Workflow in Quantitative Methods Instruction and Research Supervision [webinar]: January 11
A free webinar for faculty and staff at HBCUs about how to increase efficiency by incorporating transparency and reproducibility in quantitative methods instruction.
Streamlining Workflow in Quantitative Methods Instruction and Research Supervision [webinar]: January 6
A free webinar for faculty and staff at HBCUs about how to increase efficiency by incorporating transparency and reproducibility in quantitative methods instruction.
CURE-TIER Curating for Reproducibility Workshop
The CURE-TIER Workshop was designed for librarians, archivists, and information professionals who are interested in integrating principles of transparency and reproducibility into data curation activities. Participants were introduced to opportunities to collaborate with Project TIER in the development and dissemination of curricular resources for practicing and teaching transparent research methods, and with CURE on sharing practices and developing standards for curating for reproducibility. The ultimate goal was to foster the development of a community of educators and information professionals committed to the idea that transparency and reproducibility should be integrated into all aspects of research training and support in quantitative fields.
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).