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class: center, middle
name:opening
# [Global Brain Workshop 2016](http://brainx.io)
<br>
<br>
.center[
presented by, Joshua T. Vogelstein
<br>
{[bme](http://www.bme.jhu.edu/),[icm](http://icm.jhu.edu/),[cis](http://cis.jhu.edu/),[idies](http://idies.jhu.edu/),kavli,[cs](http://engineering.jhu.edu/computer-science/), [ams](http://engineering.jhu.edu/ams/), [neuro](http://neuroscience.jhu.edu/)} | [jhu](https://www.jhu.edu/)
<br>
please ask questions: [[email protected]](mailto:jovo at neurodata dot io)!
<br>
these slides: <http://brainx.io/ODEN>
]
---
# Details
- Date: April 6 & 7, 2016
- Host: Kavli Neuroscience Discovery Institute @ JHU
- Organizers: JT Vogelstein, R Huganir, and MI Miller
- Funders: NSF & Kavli
<br>
- 60+ scientists
- 15 "observers" (NIH, NSF, DARPA, IARPA, Simons, Kavli)
- 12 countries
- Report available from [brainx.io](http://brainx.io)
---
# Goals
Identify globally beneficial brain science projects:
- .w[Significant]: they will yield tangible benefits to the world
- .w[Feasible]: we can achieve major milestones given existing funding
- .w[Inclusive]: all nations can meaningfully contribute and benefit
- .w[Collectively diverse]: span a wide range of brain sciences
---
## 3 Challenges...
- What makes our brains unique?
- How does the brain solve the complex problems of intelligence?
- How can we augment mental health decisions with data?
<br>
## and 1 Universal Resource...
<!-- <br>
<center><Big>The International Brain Station (TIBS)</Big></center>
-->
---
class: center
## The International Brain Station (TIBS)
<img src="images/circle6.png" alt="Drawing" style="width: 550px;"/>
<!-- <img src="https://github.com/neurodata/ndpaper/raw/master/figure0.png" alt="Drawing" style="width: 700px;"/> -->
<br />
<!-- <center>Goal: Eliminate "pain point" for each stage of discovery</center> -->
---
## Motivating Themes
<br>
- Eliminate "pain point" for each stage of discovery
- Open science (data and tools)
- Extensive collaboration
- Reference research artifacts
- Continuous integration and agile development
- Cultural sensitivities
---
# Collect
<br>
.pull-left[
- Pain-point: Locally "baby-sitting" hardware
- Solution: *Data Collection Dashboards*
<br>
- Interface directly with measurement machines
- Live status updates and summaries
- Enables remote intervention
- Automatic metadata generation
]
.pull-right[
<figure>
<img src="images/deluge.jpg" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:economist.com</small></figcaption>
</figure>
]
---
# Store
<br>
.pull-left[
- Pain-point: Data too large to store/analyze locally
- Solution: *Multimodal Cloud Storage*
<br>
- Interface directly with collection machines
- Organizes data for efficient queries
]
.pull-right[
<figure>
<img src="images/sejnowski.jpg" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:nature.com</small></figcaption>
</figure>
]
---
# Explore
<br>
.pull-left[
- Pain-point: Want to see data from anywhere
- Solution: *Interactive Data Explorers*
<br>
- Mobile compliant (1 billion+ additional users)
- Augmented reality environments
]
.pull-right[
<figure>
<img src="images/explore.jpg" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:ultravr.org</small></figcaption>
</figure>
]
---
# Analyze
<br>
.pull-left[
- Pain-point: Raw data are messy and stored differently
- Solution: *Reference Analysis Pipelines*
<br>
- Streaming analysis
- Continuously integrated with new data & methods
- Notebooks for easy replication and extension
]
.pull-right[
<figure>
<img src="images/jupyter.png" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:treasuredata.com</small></figcaption>
</figure>
]
---
# Model
<br>
.pull-left[
- Pain-point: Model and data are incommensurate
- Solution: *Data Modeling Bots*
<br>
- Automatically fit new models to old data, and new data to old models
- Community driven metrics, benchmarks, and leaderboards
]
.pull-right[
<figure>
<img src="images/hubel1.jpg" alt="Drawing" style="width: 300px;"/>
<img src="images/hubel2.png" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:wordpress.com</small></figcaption>
</figure>
]
---
# Design
<br>
.pull-left[
- Pain-point: Extensive simulations
- Solution: *Synthetic Data Simulation Environment*
<br>
- Extracts simulation parameters from datasets
- Runs virtual experiments
]
.pull-right[
<figure>
<img src="images/tea.jpg" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:lady tasting tea</small></figcaption>
</figure>
]
---
# Search
<br>
.pull-left[
- Pain-point: Data are scattered and poorly labeled
- Solution: *Metadata Query Service*
<br>
- All data and code will have community driven metadata
- Queries to support multiple languages
]
.pull-right[
<figure>
<img src="images/search.jpg" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:Minority Report</small></figcaption>
</figure>
]
---
# Educate
<br>
.pull-left[
- Pain-point: New research platform
- Solution: *Extensive educational focus*
<br>
- Culturally sensitive MOOCs
- Quarterly training workshops
- Wiki-style documentation and tutorials
]
.pull-right[
<figure>
<img src="images/educate.jpg" alt="Drawing" style="width: 300px;"/>
<figcaption><small>source:wikipedia.org</small></figcaption>
</figure>
]
---
## Challenges
<br>
- Cultural shift in neuroscience
- But cosmology and molecular genetics did it
---
## Implications for ODEN
<br>
- .w[Incentives]: lowers the barrier to entry into each stage of analysis
- .w[Sustainability]: resources (data & code) can trivially be supported by communities who use them
- .w[Discoverability]: all resources will, by default, include extensive metadata
---
class: middle, center
# Questions?
<!-- ### Funding -->
<!-- <br /> -->
<br>
<br>
<!-- ____ -->
e: [[email protected]](mailto:[email protected])
w: [brainx.io](http://brainx.io)
<!-- ____ -->
<!-- [more slides](http://docs.neurodata.io/ndintro/more.html) -->
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