We are pleased to announce that we will be presenting a virtual booth at the 2021 Brain PI Meeting on June 15th - 17th. The Booth will include information and demonstration of the BRAINWORKS platform, and analytical tools from the TMM and U19 grantees.

For more information, please see the BRAINWORKS Virtual Booth, here.

About the Project

The BRAIN initiative Workspace to ORganize the Knowledge Space platform (BRAINWORKS) is a tool for the discovery of more comprehensive theories of brain function through knowledge integration across multiple sparse, multi-scale datasets collected from a variety of independent research activities funded by the BRAIN initiative. 

The BRAINWORKS proof-of-concept is focused on natural language texts; specifically, scientific publications and grant applications. The project was completed in five phases over the course of 2021; information about each phase, along with videos, documentation, working group meetings and software are referenced below.


Working Group Meetings

Members of this working group will assist the NIH DATA Scholar with his development of the BRAINWORKS platform. More specifically, members of the working group will participate in 4 meetings with dates that correspond to major project milestones and provide feedback, as shown in the TABLE 1 below.

TABLE 1: Overview of Working group meetings dates and topics.

Project Phase Meeting Information: Meeting Date Resources Meeting Link

1. Specification

Working Group Discussion:

A. Do you have great interest in accessing the raw data that powers BRAINWORKS, or are you mostly interested in using the final tool? 

B. What are some visuals/queries of the collected data that would help you assess its value? Feel free to sketch something, or link to visuals online.

C. In what ways should the tool allow users to constrain the nodes and the edges of the generated knowledge graph? (e.g. exclude nodes based on authors, set edge weights based on citations.) Are there specific node or edge constraints that you're interested in being able to apply over time (e.g. only show portions of the graph with increasing citations over time)?

D. We are planning a debate around the viability of data science approaches for neuroscience theory integration during the Society of Neuroscience meeting in August. Would this topic interest you, why or why not? 



  1. Introduction
  2. Motivation and approach
  3. Platform requirements


2. Data

Brain Meeting Virtual Booth :

A. Data collection approach

B. Data characteristics

C. Data access and distribution approach

6/15/2021 - 6/17/2021

1. Demo Schedule 

6/15 Demo
Starts 12:30PM EST 

6/16 Demo
Starts 5:00PM EST

6/17 Demo
Starts 5:00PM EST

3. Algorithms

Working Group Discussion:

A. Algorithms for theory representation

B. Algorithms for theory evolution prediction

C. Performance evaluation 


Coming soon

Coming soon

4. Interface

Working Group Discussion:

A. Human input collection 

B. Balancing human and machine inputs

C. Performance evaluation 


Coming soon

Coming soon

5. Alpha Launch

Working Group Discussion:

A. Demonstration of Platform alpha version

B. Review of code and documentation

C. Ongoing support plan


Coming soon

Coming soon