Wednesday and Thursday, November 28-29
Please join us for Reproducible Research @ Cornell, a set of events on November 28-29, 2018, featuring Brian Nosek from the Center for Open Science (COS). Events will include a lecture, panel, discussions, and workshops on easy, practical steps to increase the reproducibility of your research using the COS's Open Science Framework (OSF). Please see details of all the events below.
|Date||Time||Location||Event||Contact / Registration|
|Wed 11/28||9am - 11am||Ramin Parlor, Sage Hall||College of Business Breakfast: “Fostering Trust in Research: A Conversation With Brian Nosek”||Contact: Professor Robert Bloomfield (email@example.com)|
|Wed 11/28||12 pm - 1:30pm||Warren Hall Room 175||Social Scientists Lunchtime Talk with Brian Nosek||Contact: Professor Melissa Ferguson (firstname.lastname@example.org)|
|Wed 11/28||3pm - 4pm||G10 Biotech||Lecture: "Shifting Incentives from Getting it Published to Getting it Right"||Registration: CULearn
|Wed 11/28||4pm - 5pm||G10 Biotech||Panel discussion||Registration: CULearn
|Wed 11/28||5pm - 6pm||Biotech Atrium||Reception||Contact: email@example.com|
|Thurs 11/29||9am - 12pm||318 Phillips Hall||Workshop Session 1: Foundations for Reproducible Science with OSF||Registration: http://bit.ly/OSF_WorkshopAM
|Thurs 11/29||1pm - 4pm||318 Phillips Hall||Workshop Session 2:
Case Studies and Workflows
Day 1, November 28
College of Business Breakfast: “Fostering Trust in Research: A Conversation with Brian Nosek”, Ramin Parlor, Sage Hall, 9am-11am
The College of Business research community is invited to an informal conversation with Prof. Brian Nosek. Brian has been a tireless advocate for improved research practices, as a Prof. of Psychology at University of Virginia and as co-Founder and Executive Director of the Center for Open Science. Faculty, doctoral students, research associates and post-doctoral fellows are encouraged to ask questions and offer thoughts about the future of research practices, reproducibility, replication, open-science sharing of data, code, pre- and post-publication review, editorial practices, researcher incentives and related topics. Breakfast will be served at 9am, and discussion will begin around 9:30. For more information, contact Professor Robert Bloomfield (firstname.lastname@example.org).
Social Scientists Lunchtime Talk with Brian Nosek: Warren Hall Room 175, 12pm-1:30pm
What is Replication?
Reproducibility is a core feature of accumulating scientific knowledge. If evidence for a claim cannot be obtained independently of its originator, then it loses credibility as a scientific claim. The concept of replication seems simple—repeat the study with the same methodology and see if the same result is observed. The reality of replication is challenging. What does it mean to use the “same methodology”? And, what counts as the “same result”? Unpacking these questions yields insight into the value and role of replication in advancing theory and knowledge. For more information, contact Professor Melissa Ferguson (email@example.com).
General Lecture by Dr. Brian Nosek: Shifting Incentives from Getting it Published to Getting it Right, G10 Biotech, 3pm-4pm
The currency of academic research is publishing. Producing novel, positive, and clean results maximizes the likelihood of publishing success because those are the best kind of results. There are multiple ways to produce such results: (1) be a genius, (2) be lucky, (3) be patient, or (4) employ flexible analytic and selective reporting practices to manufacture beauty. In a competitive marketplace with minimal accountability, it is hard to avoid (4). But, there is a way. With results, beauty is contingent on what is known about their origin. With methodology, if it looks beautiful, it is beautiful. The only way to be rewarded for something other than the results is to make transparent how they were obtained. With openness, I won’t stop aiming for beautiful papers, but when I get them, it will be clear that I earned them.
Brian Nosek is co-Founder and Executive Director of the Center for Open Science that operates the Open Science Framework. COS is enabling open and reproducible research practices worldwide. Brian is also a Professor in the Department of Psychology at the University of Virginia. He received his Ph.D. from Yale University in 2002. He co-founded Project Implicit, a multi-university collaboration for research and education investigating implicit cognition--thoughts and feelings that occur outside of awareness or control. Brian investigates the gap between values and practices, such as when behavior is influenced by factors other than one's intentions and goals. Research applications of this interest include implicit bias, decision-making, attitudes, ideology, morality, innovation, barriers to change, open science, and reproducibility. In 2015, he was named one of Nature's 10 as the "Bias Blaster" and to the Chronicle for Higher Education Influence list.
Panel discussion on reproducible science, G10 Biotech, 4pm-5pm
Robert Weiss (Moderator) – Professor of Molecular Genetics, Associate Dean for Research and Graduate Education, College of Veterinary Medicine
Carrie Adler – Assistant Professor, Department of Molecular Medicine, College of Veterinary Medicine
Natasha Holmes – Assistant Professor, Department of Physics
Andrew Karolyi - Professor of Finance and Harold Bierman Jr. Distinguished Professor of Management, Deputy Dean and College Dean for Academic Affairs, Cornell S.C. Johnson College of Business
Michael Macy – Goldwin-Smith Professor of Sociology
Brian Nosek – Professor, Department of Psychology, University of Virginia; Executive Director of the Center for Open Science
Reception, G10 Biotech, 5pm-6pm
Light refreshments will be served.
Day 2: November 29
Workshops: Practical Steps for Increasing Openness and Reproducibility, 318 Phillips Hall, 9am - 4pm
There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a day-long workshop, hosted by the Center for Open Science, to learn easy, practical steps to increase the reproducibility of your work, using the Open Science Framework*. The workshop will be hands-on and is aimed at graduate students, postdocs, and faculty across disciplines. No knowledge of programming or other specialized tools is required. In the morning session participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows by creating a reproducible project from start to finish. The afternoon session will build on this foundation by examining case studies and designing appropriate open workflows for each situation.
Morning session: 9am - 12pm
- Project documentation
- Version control
- Pre-Analysis plans
- Open source tools like the Center for Open Science’s OSF to easily implement these concepts in a scientific workflow.
Afternoon session: 1pm - 4pm
- Build structures to support complex workflows
- Tie projects together across studies and teams
- Design for long term reuse and replication
- Incorporate privacy protections and IRB concerns
*The Open Science Framework (OSF) is a free scholarly web tool that enhances transparency, fosters collaboration, and increases the visibility of research outputs, including data and code, at the institutional level. A partnership between Cornell University and the Center for Open Science now provides a central hub for Cornell research projects. Learn more by watching a short introductory video.
Benefits of using OSF for Institutions include:
- Collaborate easily within the institution and with outside collaborators
- Conveniently share and make parts or whole projects public, and retain security and privacy for project elements that are not shareable because of ethical or proprietary considerations
- Archive and cite projects, and get a permanent DOI for public projects
- Connect third party tools and services and eliminate silos
- Provide visibility for ongoing and unpublished research across the entire institution
Hosted by the Office of the Vice Provost for Research; College of Veterinary Medicine; SC Johnson College of Business; the Departments of Psychology, Sociology and Communications; and the Research Data Management Service Group.