Workshop on Analysis of Large-scale Disparate Data

To be held in conjunction with

2020 IEEE International Conference on Big Data

IEEE BigData 2020 - Now Taking Place All Virtually

10-13 December 2020



Introduction to Workshop

The purpose of the Workshop is to bring together researchers, developers and practitioners in data science and high performance computing with domain experts to identify common interests, requirements, capabilities, and solutions in the analysis of large-scale, disparate data. With the proliferation of sensors in our environment and the battle space, data is being collected at unimaginable rates. Analysts are inundated with massive amounts of data, a small fraction of which may contain items of significance. Collecting data is less of a problem, while managing and gleaning value from that data has become a daily crisis. Our goal is a use-inspired, user-centric, and data flow oriented analytics process, and a common framework for training, evaluating, integrating, and transitioning analytics capabilities. Especially critical is the ability to respond to rapid, even daily, changes in threats, opportunities, data sets and algorithms with a commensurate ability to train, test, and deploy improved tools and to actually perform this at the tactical edge, i.e., at the point of need. The work should be guided by use patterns yet aimed to diminish the bottlenecks, minimize data movement and the number of discrete steps for the user, reduce the end-to-end time to complete a task, and reduce the cognitive workload on the user. Research is required to harness software frameworks, analysis tools, dynamic data sets, adaptive and high performance computing, and containers to produce a converged solution.


Topics

  • Use-Inspired Analytics
  • Time-critical applications
  • Computational complexity and dimensionality reduction
  • Analysis at the point of need
  • Visual Analytics Ecology
  • Scalable platforms from handheld and wearable to large scale tiled displays
  • Hardware and software agnostic analysis
  • Heterogeneous visualization systems, e.g., synchronized 2-D, 3-D, animations, virtual/augmented/mixed reality
  • Interactive query and knowledge discovery
  • Relationship between humans and computing
  • Enabling researchers to deduce meaning from an avalanche of data
  • Communicating reality and validity of data in a persuasive way


Important Dates

  • 1 Oct 2020: Due date for full workshop paper submission
  • 1 Nov 2020: Notification of paper acceptance to authors
  • 25 Nov 2020: Camera-ready copy of accepted papers due
  • 10-13 Dec 2020: Workshop


Submission Guidelines

Papers should be submitted through the workshop paper submission website using the conference template.

From the link, scroll down to Accessing the Templates and download the .doc template or LaTex macros. Papers should be no more than 10 pages in length, 2-column format. Submitted papers must be original work and not previously published or under consideration for another conference or journal.


Program Chairs

  • Dr. J. Michael Barton, CCDC Army Research Laboratory DOD Supercomputing Resource Center/Parsonsy
  • Dr. Venkat Dasari, CCDC Army Research Laboratory
  • Ms. Virginia To, CCDC Army Research Laboratory DOD Supercomputing Resource Center/Parsons
  • Dr. Simon Su, CCDC Army Research Laboratory DoD Supercomputing Resource Center