Reporting and reproducibility are integral aspects of the research process garnering much discussion in recent years, especially in regards to reducing biomedical research waste.  Non-reproducible research is due to many factors, with reporting of methods with insufficient detail, or not adhering to recommended reporting guidelines, being one that can be readily addressed and improved. However, is it possible or necessary to reproduce all research studies? What role does uncertainty play in research?

A unique panel of speakers from the health and pure sciences will discuss these aspects as to how they apply to evidence syntheses and other types of research practices.  There will also be time for Q&A  with the speakers:

Speakers:

Matthew Page is a Research Fellow based at the School of Public Health and Preventive Medicine, Monash University, Australia whose main focus is on meta-research; that is, he performs research on ways to improve the value of biomedical research. http://australia.cochrane.org/dr-matthew-page

Title of presentation: Reproducible research practices in systematic reviews of biomedical research: how can they improve?

David Bailey is a professor in the Department of Physics, at the University of Toronto whose current research and teaching focuses on experimental uncertainty and why measurements are sometimes wrong. https://www.physics.utoronto.ca/~dbailey/

Title of presentation: Physics is easy, medicine is hard, everything is complex.

Patricia Ayala is the Research Services Librarian at the Gerstein Science Information Centre, University of Toronto whose research interest is on knowledge syntheses and reducing research waste.

https://goo.gl/sz2kas 

Title of presentation: More than expert searchers: How librarians are positioned to improve quality and reduce research waste in knowledge syntheses studies.

Register here: bit.ly/2vt13B1

Event is open exclusively to currently registered University of Toronto students, faculty, researchers and staff. 

Please register with your utoronto.ca or mail.utoronto.ca email otherwise you may be removed from the event. 

Doors open at 4:45 pm. Light refreshments will be served.

Questions? Email research.connect@utoronto.ca

Where:

Gerstein Science Information Centre (University of Toronto, St George Campus)

9 King's College Circle

Alice Moulton Room, 2nd floor

Nearest subway stop: Queen's Park Station

Proudly supported by Gerstein Science Information Centre, University of Toronto Libraries.