SHORT COURSE #3: Optimizing Experimental Design for High-Quality Science
Mara Dierssen, PhD, MD, Rae Nishi, PhD, Magda Giordano, PhD, John Ngai, PhD, Chris J. McBain, PhD, Charles Mobbs, PhD
Date & Time: Friday, October 16, 2015 1pm - 5:30pm
Panelists: Ronald Landis, PhD; Mary E. Harrington, PhD; Katja Brose, PhD; Shai Silberberg, PhD
Short Course 3
(Includes electronic syllabus and lunch)
The scientific community has become increasingly concerned about issues related to data reproducibility and experimental design. Issues include, but are not limited to: bias for positive results, the “p-hacking” effect, lack of sufficient replication of experiments, pooling data from different experiments, lack of randomization and/or blinding, chance observations, data selection, group compilation, and lack of rigorous training in statistics and analysis. Attendees will learn experimental and analytical design elements that are crucial for the interpretation of neuroscience research results, such as methodological parameters that can introduce bias, influence robustness, or may be subject to biological variability, and the biological and sociological underpinnings of scientific bias. Existing policies on data deposition and presentation will additionally be covered. Lectures will be interspersed with small group discussion opportunities to allow ample time for the examination of case studies.
Note: Preregistration is required for all Short Courses. Visit SfN.org to register.