Design Challenge

This global outage event has raised awareness for the need to be able to assemble a rapid response team in the case of a future outage event. The “white hat” community recognizes that serious delays result when CGCS has to go through a complex process to respond to a future event. The white hat community decides to provide CGCS with much more information about their individual expertise, contact information, available tools, and any other information they think could be useful. They want CGCS to be able to search this network and quickly assemble a set of superstars with complementary skills who can be part of an emergency response team. CGCS’s current visual analytics environment supports basic situation awareness and provides a set of simple tools to help them see patterns in individual data sets. However, the existing system will not support the new data that the white hat community is providing. CGCS recognizes that they need a new visual analytics environment, and they would like you to design it.

CGCS wants this environment to support two tasks:

CGCS wants to incorporate as much machine learning into the system as possible, but they want to have insight into not only what the machine learning is doing, but what uncertainties exist in both the data and the algorithms. However, CGCS personnel are not experts in machine learning, so they want to have explanations that make sense to them. Your objective is to design for the new CGCS situation awareness and team development environment, illustrating how visual analytics can support CGCS tasks.

Submitting your Solution

Please exercise your creativity in exploring new visual analytics approaches to solve this problem! Your submission should include the following elements:

  • A high-resolution image of your design.
  • A video of up to four minutes in length, describing the elements of your design
  • A description of how your design supports situation awareness and rapid team assembly, using both machine learning and interactive visual interfaces. This description can take the form of a set of storyboards or a text description accompanied by supporting images. Please limit your response to 12 images and 800 words.

VAST 2020 Submission Instructions