SfN Global Connectome: A Virtual Event
January 11–13, 2021
This brand-new, cross-cutting digital neuroscience event is designed to facilitate scientific exchange across the globe and across the field, providing scientists at all career stages, of all disciplines, with opportunities to learn, collaborate, and connect. Regardless of your area of specialization, the Global Connectome has unique opportunities for every neuroscientist. Program highlights include:
- Digital abstract presentations
- Dynamic talks from leaders in the field, including Zayd Khaliq, Mauro Costa-Mattioli, and Bong-Kiun Kaang – and more!
- Popular sessions, including Dual Perspectives and Storytelling
- Interactive Q&A
- Robust Exhibit Hall
- Graduate School Fair
- NeuroJobs Career Fair
Rigorous Experimental Design in the Era of CRISPR, Big Data and COVID-19
- Tom Abrams, PhD
- Gundula Bosch, PhD
- Kirsten Koehler, PhD
- Roger Nicoll, MD
- Alexandros Poulopoulos, PhD
- Elaine Y. Hsiao, PhD
- Mark Kvarta MD, PhD
Scientific rigor requires effective experimental or study design, logical reasoning, and sound strategies for analysis of errors for critical testing of specific models, in addition to adequate statistical methodology. Yet, didactic training in these essential research skills, beyond statistics, is given little emphasis in the education of science practitioners. Deficient logic frequently impairs actual experiments, grant proposals, and published studies. Development of effective research designs is particularly challenging for junior researchers writing grants. Inadequate understanding of the logic of the scientific process is widespread, and even impacts public health decisions, as evidenced by major errors and confusion in addressing the COVID-19 pandemic. This webinar addresses those challenges and introduces educational approaches to strengthening our comprehension of the principles of scientific inquiry necessary for the critical testing of explanatory models.
Panelists will present a general rubric for the critical evaluation of experimental design and will share exercises for teaching the necessary logic and error analysis in research practice. Examples will illustrate the process, as well as the benefits, of going from omic studies to rigorous hypothesis testing.
Email firstname.lastname@example.org to learn more.