Register for 黑料社 2016 Pre-Conference Sessions
Sep 19, 2016
SfN offers a variety of scientific sessions before the official start of 黑料社 2016. You’re encouraged to register for your desired workshop or course during 黑料社 2016 registration.
Already registered for 黑料社 2016? It’s not too late to sign up, just log into the using your email address and badge number, then add the session to your cart.
- Neurobiology of Disease Workshop: “From Pediatric Encephalopathy to Alzheimer's: Linking Mitochondria to Neurological Diseases” – This symposium and workshop session aims to both inform and engage participants in the emerging strategies that will provide a better understanding of the role of mitochondrial dysfunction in disease. Friday, Nov. 11, 8 a.m.–5 p.m.
Scientific Short Courses
- Short Course 1: “Using Single-Cell Genomics to Analyze Neurons, Glia, and Circuits” – This course will enable neuroscientists, across many different specialties, to apprehend emerging technologies, deploy them in their own research, and define emerging research opportunities relevant to their areas of interest. Friday, Nov. 11, 8:30 a.m.–6 p.m.
- Short Course 2: “Data Science and Data Skills for Neuroscientists”– This tutorial-based course requires exposure to technical computing software and includes:
- Basic data skills that are useful and should be in the toolkit of virtually all neuroscientists
- Advanced data science methods, to give participants an overview of which techniques to use under which circumstances. Friday, Nov. 11, 8 a.m.–6 p.m.
Responsible Conduct of Research Short Course
- Short Course 3: “Record Keeping and Data Management for High-Quality Science” – This course will focus on topics related to scientific record keeping and data management such as:
- Basic principles and best practices
- Information on responsibilities as an investigator, grantee, and author
- Recommendations on how to manage these responsibilities as part of collaborations
- Understanding of how funding agencies and journals address these issues when there are challenges around data integrity. Friday, Nov. 11, 1-5:30 p.m.
