McGill experts open up on open science | International Economic Forum of the Americas | McGill Reporter
ab1630's bookmarks 2018-06-16
"On June 12, as part of the International Economic Forum of the Americas conference in Montreal, a panel of McGill experts participated in a round-table discussion on open science, the no-barrier approach to scientific research that allows research data and materials to move freely from one research team to another, between disciplines.
What are the challenges facing the open science movement? How can machine learning experts work alongside scientists to foster concrete results for health care? What are the perspectives for this unprecedented interdisciplinary collaboration? These were some of the questions tackled by the panel. Participating in the discussion were Guy Rouleau, Director, Montreal Neurological Institute and Hospital; Doina Precup, Associate Professor, School of Computer Science; and Alan Evans, James McGill Professor of Neurology and Neurosurgery, Psychiatry and Biomedical Engineering. The event was moderated by Martha Crago, Vice-Principal, Research and Innovation. This a partial transcript of the panel discussion and the Q&A session with the audience that followed. Some of the questions and answers have been edited for brevity.
Martha Crago: What about the threat of being scooped? We’ve heard examples of this, someone publishes some data and someone else publishes even more papers based on that data.
Alan Evans: I think it’s more of a mythology about it. People get concerned that someone is going to take their data and run away with it. We have changed from the laboratory environment in which you publish one paper a year and you sit very protectively on it, to an environment where lots of people get involved and analyze the data and more science comes out of that. It is good for society. The question being asked is, is it good for the individual? I would argue that if you publish one paper a year, you get a certain amount of recognition. But if 100 people use your data and refer back to you on a continuing basis, your profile goes through the roof. That’s true at all levels, whether you are a graduate student or a senior scientist. It’s great for your career if everybody uses your data...."