Advanced
Computational Neuroscience Network (ACNN)
Midwest
Workshop on Big Neuroscience Data, Tools, Protocols &
Services
|
What |
An
interactive Big Neuroscience Data Analytic Workshop |
|
Where/Venue |
Michigan
League, University of Michigan, 911 N University Ave, Ann
Arbor, MI 48109, Phone: (734) 764-0446, Web: https://uunions.umich.edu/league
|
|
Dates |
September
20-21, 2016 |
|
Accommodation |
o
Michigan League,
University of Michigan, 911 N University Ave, Ann Arbor, MI
48109, Phone: (734) 764-0446
o
The Holiday Inn Near
the University of Michigan, 3600 Plymouth Road, Ann Arbor, MI
48105, 734-796-9800
|
|
Travel
Scholarships |
60
Travel scholarships are available for Students, Postdocs,
Fellows, and other Trainees on a first-come-first-serve basis |
|
URL |
Organizers:
A team of transdisciplinary investigators from the Advanced
Computational Neuroscience Network (ACNN), including:
- University of Michigan: Ivo Dinov, Rich Gonzales, George Alter
- Indiana University: Franco Pestilli, Olaf Sporns, Andrew Saykin
- OSU: Dhabaleswar Panda, Khaled Hamidouche, Xiaoyi Lu, Hari Subramoni
- CWRU: Satya Sahoo
- Washington University: Daniel Marcus, and Northwestern University: Lei Wang
Goals:
Students,
trainees, fellows, junior investigators, and outside researchers
in Midwest academic institutions and industry partners are invited
to attend and actively participate in this workshop. Expected workshop outcomes
include (1) building an active Midwest Neuroscience Network
Community, (2) open-sharing of data-intense challenges, datasets,
research projects, expertise, software, services, protocols,
resources, learning modules, and (3) productive discussions of
joint (multi-institutional) grants, training opportunities,
publications, research projects. The workshop success will be
measured by assessing the community involvement (early
registration, active workshop participation, post-workshop
activities and interactions), website analytics (geographic
locations of income traffic, counts, frequencies, and intensity of
web-site utilization (www.NeuroscienceNetwork.org),
and evidence of collaborations on development of software tools,
services, learning materials, end-to-end pipeline workflows.
|
Time |
Day
1 (Tue 9/20/16) |
|
|
Sessions |
Details |
|
|
8-9
AM |
Registration |
Onsite
registration, nametags, booklets, breakfast, coffee, networking |
|
9:00-9:30 |
Workshop
Overview |
(1)
Workshop Overview (Ivo Dinov), 15 min |
|
9:30-12:00 |
Big
Neuroscience Data, Gaps/Barriers, Analytical Methods, Available
Resources, Distributed Services, and Opportunities |
(1)
Indiana Computational Neuroimaging Research (Franco Pestilli)
20 min
(4)
HumanConnectome: Neuroimaging Informatics and Analysis Center
(Daniel Marcus) 20 min |
|
12:00-1:00 |
Lunch
Break |
|
|
1:00-3:00 |
Unconference
Breakout Sessions (4 consecutive slots of 30-min each).
Participants are encouraged to lead breakouts and mix with
others. |
Informal
self-organized sessions (30-minutes each), round-robin
rotations |
|
3:00-3:20 |
Break |
|
|
3:20-4:20 |
Breakout
sessions reports |
Analytics
Pipelines Tools/Services |
|
Challenges |
||
|
Known
Solutions |
||
|
Predictive
analytics - methods, tools, protocols, workflows |
||
|
Provenance
(data, protocols, results, reproducibility or research
findings) |
||
|
Computational
Neuroscience Methods |
||
|
Case-studies,
data archives, Cloud Services |
||
|
4:30-5:30 |
Posters/Demos |
Applications
(brain mapping, imaging-genetics neurodegeneration) |
|
6:00-8:00
PM |
Dinner |
Social
Networking |
|
Time |
Day
2 (Wed 9/21/16) |
|
|
Sessions |
Details |
|
|
8:00-8:30
AM |
Registration |
Onsite
registration, nametags, booklets, breakfast, coffee,
networking |
|
8:30-10:30 |
Core
Big Neuroscience Infrastructure |
(1)
Indiana Computational Neuroimaging Research (Franco Pestilli)
25 min |
|
10:30-10:45 |
Break |
|
|
10:45-12:00 |
Lightning
Talks |
3-5
min Rapid-Fire talk from the Midwest Big Data Community |
|
12:00-1:00 |
Lunch
Break |
|
|
1:00-2:30 |
Unconference
Breakout Sessions (3 consecutive slots of 30-min each).
Participants are encouraged to lead breakouts and mix with
others. |
Informal
self-organized sessions (30-minutes each), round-robin
rotations: Brain structure, Function, Diffusion, Physiology;
File Formats; Pipeline workflow Environments; Cloud Services:
JIRA, GitHub, Trello, AWS, MapReduce, Hadoop; Driving
Biomedical/Healthcare Challenges, etc. |
|
2:30-3:00 |
Breakout
sessions reports |
Analytics
Pipelines Tools/Services |
|
Challenges |
||
|
Known
Solutions |
||
|
Predictive
analytics - methods, tools, protocols, workflows |
||
|
Provenance
(data, protocols, results, reproducibility or research
findings) |
||
|
Computational
Neuroscience Methods |
||
|
Case-studies,
data archives, Cloud Services |
||
|
3:00-3:30 |
Live
Demos/Try-It-Now |
Applications
(brain mapping, imaging-genetics neurodegeneration) |
|
4:00
PM |
Conclusions |
Post-Workshop Evaluation Form. Collaborations, joint papers, extramural grant opportunities,
Shareable resources, Available Webapps, APIs, workflows |
|
|
Post-conference
Report |
Generate
a Report (due 1 month after workshop) |
Participants
are encouraged to self-organize working groups that focus on
specific Big Neuroscience Data challenges, resource,
translational education activities, and collaborative
opportunities.
This
web-form
can be used to submit items for inclusion in the sharable
resources. Examples (not an exclusive list) of appropriate
resources that may be suggested includes:
- Highly scalable APIs
- Relevant publications
- Cloud-services
- Computational Resources
- Algorithms, methods, techniques
- Education and Training Opportunities
You can see a real-time summary of the results and a tabular representation of previously submitted resource meta-data.
Workshop
Registration including Trainee/Fellow Scholarship Application
Space
is limited. Complete and submit this registration
form early to register to attend the workshop. Over 60
travel/accommodation scholarships are available for Students,
Postdocs, Fellows, and other Trainees on a first-come-first-serve
basis. Please complete this web-form early.
Administrative:
Alison Martin (aalison@med.umich.edu)
or Programmatic: Ivo Dinov 
The National Science Foundation, the Midwest Big Data Hub, and the Michigan Nutrition Obesity Research Center (MNORC) provided financial support to cover the travel and accommodation of training scholars. Other workshop sponsors include:
- The Michigan Institute for Data Science (MIDAS)
- Indiana Imaging Research Facility (IRF)
- OSU Network Based Computing
- CWRU Biomedical and Healthcare Informatics
Post-Workshop Evaluation Survey
After completion of the 2016 ACNN Big Neuroscience Data Workshop, please complete the Post-Workshop Evaluation Survey. Summary dynamic results of the survey will be publicly available here.