Responsible Conduct of Research Short Courses
Join SfN's effort to support and promote rigorous science.
SfN is committed to supporting and promoting rigorous science. This half-day short course on the topic of responsible conduct occurs on the Friday before SfN's annual meeting. Training includes lectures and guided discussions that enable you to explore varying topics through a neuroscience-specific lens. The course meets NIH requirements for instruction in the responsible conduct of research.
Short Course 3: Cultivating Professionalism and Excellence in the Research Landscape
Organizers: Roz Segal, MD, PhD; Carlos Aizenman, PhD; Janet Clark, PhD; Marguerite Matthews, PhD; and Keith Trujillo, PhD
Faculty: Sherilynn Black, PhD; Claire Horner-Devine, PhD; Marguerite Matthews, PhD
Date & Time: October 18, 2019, from 1:00 p.m. — 5:30 p.m. CDT
Location: McCormick Place, Room S106
Successful training in academic research and career development is heavily reliant on the ability of all members of the research community to demonstrate professionalism and maintain productive collaborative relationships. A significant part of achieving this professional excellence is largely dependent on an institution's commitment to diversity, equity, and inclusion of all students, trainees, and faculty, especially those who belong to underrepresented groups. During this short course, attendees will explore how early career neuroscientists can navigate different aspects of the research landscape, including circumstances resulting from power dynamics, structural inequities, and different forms of bias. Participants will engage in a series of interactive exercises focused on cultural awareness and a multiple mentors framework. The course is designed with senior graduate students and postdoctoral fellows in mind, with a goal of empowering trainees as they successfully progress through their research careers.
Course book materials and recordings from previous courses are available for review
Power Dynamics in Academia
Neuroethics and Public Engagement: Why, How, and Best Practices
Record Keeping and Data Management for High-Quality Science
Optimizing Experimental Design for High-Quality Science