INCF Short Course: Introduction to Neuroinformatics 2023
Dates: 2 - 4 October 2023
Location: University of Washington, Seattle, WA
Neuroscience has entered an exciting new era of Big Data. New experimental methods are generating large, complex and multidimensional datasets. Data sharing initiatives are providing a broad community of researchers with access to rich datasets of neuroscience data at a range of temporal and spatial scales. This course will teach neuroscience researchers and researchers from related fields about neuroinformatics: the science and engineering of brain data. The topics covered will range from theoretical background, through methodological innovations in the field and their application, as well as socio-technical issues related to data sharing, applications of neuroinformatics to clinical questions, and compliance with sharing mandates.
Target audience
Early career researchers, trainees, or individuals switching into the field.
Format
In-person with 45 mins theory lectures + 40 minutes practical experiences for each topic.
Topics covered
- Introduction to neuroinformatics
- Introduction to neuroscience and neuroanatomy
- Data science and reproducibility
- Human neuroimaging
- Clinical neuroinformatics
- Neuroethics, data governance, and international data sharing
- Microscopic imaging of brain function and structure
- Introduction to computational neuroscience
- How to write a data management plan
- Ontologies and databases
- Scientific workflows and computational infrastructure
- Artificial Intelligence and machine learning
Fees
- 40 USD for INCF members Join INCF
- 80 USD for non-members
- No more travel support available for participants. There are a few registration waivers available.
Speakers
- Maryann Martone, University of California San Diego
- Matthew Glasser, Washington University School of Medicine in St. Louis
- Ariel Rokem, University of Washington
- Ashley Juavinett, University of California, San Diego
- Jack Van Horn, University of Virginia
- Randy Gollub, Massachusetts General Hospital, Harvard Medical School
- Prantik Kundu, Ceretype Neuromedicine, Inc.
- Gillian Hue, Emory University, Institute of Neuroethics
- Franco Pestilli, University of Texas at Austin
- John Mendenhall, University of Texas at Austin
- Alla Borisyuk, University of Utah
- Yaroslav Halchenko, Dartmouth College, Center for Open Neuroscience
- Dimitri Yatsenko, DataJoint
- Edgar Walker, University of Washington
- Juan E. Iglesias, Massachusetts General Hospital, Harvard Medical School
- Jeff Grethe, University of California San Diego, SPARC
Important dates
- Applications due: 18 September 2023
- Notification of acceptance: Rolling admission
- First day of course: 2 October 2023
Location
Alder Auditorium1310 NE 40th St
Seattle, WA 98105
ttps://goo.gl/maps/
Meeting room: https://hfs.uw.edu/Meeting-
Parking ( public transit strongly recommended!): https://
Schedule
Monday, October 2nd
09:00 - 09:15 Welcome and introduction to the course
09:15 - 10:30 Introduction to neuroinformatics (Maryann Martone
10:30 - 11:00 Coffee
11:00 - 12:30 Introduction to Neuroanatomy (Matt Glasser)
12:30 - 02:00 Lunch break
02:00 - 03:30 Human neuroimaging (Jack Van Horn)
03:30 - 04:00 Coffee
04:00 - 05:30 Data science and reproducibility (Ariel Rokem and Ashley Juavinett)
Tuesday, October 3rd
09:00 - 10:30 Clinical neuroinformatics (Randy Gollub, Prantik Kundu)
10:30 - 11:00 Coffee
11:00 - 12:30 Ontologies and databases (Jeff Grethe, Yaroslav Halchenko)
12:30 - 02:00 Lunch break
02:00 - 03:30 Microscopic imaging of brain function and structure (John Mendenhall)
03:30 - 04:00 Coffee
04:00 - 05:30 Intro to computational neuroscience (Alla Borisyuk)
Wednesday, October 4th
09:00 - 10:30 How to write a data management plan (Jenny Muilenburg, UW Libraries, potentially NSF/NIH PO TBD)
10:30 - 11:00 Coffee
11:00 - 11:45 Neuroethics (Tim Brown)
11:45 - 12:30 Data governance and international data sharing (Franco Pestilli)
12:30 - 02:00 Lunch break
02:00 - 03:30 Scientific workflows and computational infrastructure (Dimitri Yatsenko, Yaroslav Halchenko)
03:30 - 04:00 Coffee
04:00 - 05:30 AI and machine learning (Edgar Walker, Juan E Iglesias)
05:30 - 07:00 Reception