RESTON, Va., June 9, 2014 /PRNewswire-USNewswire/ -- On June 10, 2014, Dr. Stephen Gallo of the American Institute of Biological Sciences (AIBS) will participate in a panel discussion as part of the 2014 Tri-Agency Peer Review Workshop to be held in Ottawa, Canada. The meeting, "Inside – Out: Perspectives on Maintaining High Quality Peer Review in Changing Times", is sponsored by the Canadian Institutes of Health Research, Natural Sciences and Engineering Council, Social Sciences and Humanities Research Council, and the Canada Foundation for Innovation.
"We are pleased that Dr. Gallo is participating in this important discussion," said Dr. Richard O'Grady, Executive Director of AIBS. "Peer review is central to the way we do science and how we maintain high quality standards. This discussion is an excellent forum to explore how to sustain this quality at a time when society is continuously considering how to be more efficient and to identify more cost effective ways to work. AIBS, which has a long and distinguished history of providing high quality peer review services, has been looking at these questions for a number of years."
Indeed, Gallo, who is Technical Operations Manager for AIBS' Scientific Peer Advisory and Review Services, has published findings from research he and AIBS colleagues have done to identify issues associated with remotely conducted panels.
Gallo will participate on a panel with Dr. Richard Nakamura, Director of the Center for Scientific Review at the U.S. National Institutes of Health, and Dr. Sophie Stevance, Assistant Professor at the University of Laval in Quebec.
"I am looking forward to this important and timely discussion," said Gallo. "There is a growing recognition of the need to look at how we do peer review and how we can use teleconference or other technologies to reduce peer review panel costs. It is critical, however, that we understand the strengths and weaknesses of different peer review models. These are some of the reasons the AIBS peer review program has been evaluating different models."
SOURCE American Institute of Biological Sciences