Midwest Workshop on Big Neuroscience Data, Tools, Protocols & Services

September 20-21, 2016
Ann Arbor, MI

Overview

What An interactive Big Neuroscience Data Analytic Workshop
Where 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
Travel Scholarships 60 Travel scholarships are available for Students, Postdocs, Fellows, and other Trainee on a first-come-first-serve basis
URL http://www.neurosciencenetwork.org/ACNN_Workshop_2016.html

 

About

Organizers: A team of transdisciplinary investigators from the Advanced Computational Neuroscience Network (ACNN), including:

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.

Program

Day 1 (Tue 9/20/16)
Time Sessions Details
8-9 AM Registration Onsite registration, nametags, flier, handbook, breakfast, coffee, networking
9:00-9:45 Workshop Overview ACNN Background, Scope Organization/Format (1) Workshop Overview (Ivo Dinov), 15 min
(2) Midwest Big Data Hub Health Sciences (Brian Athey), 15 min
(3) Advanced Computational Neuroscience Network (Rich Gonzalez), 15-min
9:45-12:15 Big Neuroscience Data, Gaps/Barriers, Analytical Methods, Available Resources, Distributed Services, and Opportunities (1) Indiana Computational Neuroimaging Research (Franco Pestilli) 20 min
(2) Ohio State University Network Based Computing (Dhabaleswar Panda, Khaled Hamidouche, Xiaoyi Lu, Hari Subramoni) 20 min
(3) Case Western Reserve University Biomedical and Healthcare Informatics (Satya Sahoo) 20 min
BREAK 10 min
(4) HumanConnectome: Neuroimaging Informatics and Analysis Center (Daniel Marcus) 20 min
(5) SchizConnect: Flexible, Dynamic Platform for Mediating Multiple Schizophrenia Neuroimaging Databases (Lei Wang) 20 min
(6) Michigan Institute for Data Science (Ivo Dinov), 20 min
12:15-1:15 Lunch Break
1:15-3:15 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. To suggest a breakout, lead a session, or sign-up for a session click here.
3:15-3:30 Break
3:30-4:30 Breakout sessions reports (see sessions)
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). View poster summaries or enter a title, abstract and authors of your poster here.
6:00-8:00 PM Dinner Social Networking
Day 2 (Tue 9/21/16)
Time Sessions Details
8:00-8:30 AM Registration Onsite registration, nametags, booklets, breakfast, coffee, networking
8:30-11:00 Core Big Neuroscience Infrastructure (1) Neuroscience Information Framework: A Cooperative And Collaborative Information, Resource, and Data Discovery Infrastructure (Jeff Grethe) 25 min
(2) Indiana Computational Neuroimaging Research (Franco Pestilli) 25 min
(3) Ohio State University Network Based Computing (Dhabaleswar Panda, Khaled Hamidouche, Xiaoyi Lu, Hari Subramoni) 25 min BREAK 10-min
(4) Case Western Reserve University Biomedical and Healthcare Informatics (Satya Sahoo) 25 min
(5) Predictive Big Data Analytics (Ivo Dinov), 25 min
11:00-11:10 Break
11:10-12:10 Lightning Talks 3-5 min Rapid-Fire talks from the Midwest Big Data Community. To view or propose a Lightning talk click here.
12:10-1:10 Lunch Break
1:10-2:40 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. To suggest a breakout, lead a session, or sign-up for a session click here.
2:40-2:50 Break
2:50-3:30 Breakout sessions reports (breakouts)
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
3:30-4:00 Live Demos
Try-It-Now 		Applications (brain mapping, imaging-genetics neurodegeneration). To show a live demo click here.
4:00 PM Conclusions Workshop Evaluation. Collaborations, joint papers, extramural grant opportunities, Shareable resources, Available Webapps, APIs, workflows.
Additional Presentaitons, Slides, and Notes
Post-conference Report (PDF)

Working Groups

Participants are encouraged to self-organize working groups that focus on specific Big Neuroscience Data challenges, resource, translational education activities, and collaborative opportunities. To view or suggest a working group click here.

Sharable Resources

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.

Registration

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 Trainee on a first-come-first-serve basis. Please complete this web-form early.

Contact

Administrative: Alison Martin (aalison@med.umich.edu) or Programmatic: Ivo Dinov

Sponsors

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 Advanced Computational Neuroscience Network (ACNN) is partially supported by NSF grants 1636840, 1636846, 1636893, 1636850, and 1550320.

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.