[Infovis] CFP: Visual Analysis of Massive Data (HICSS 45 minitrack)

John Goodall jgoodall at gmail.com
Wed May 25 15:28:28 CEST 2011

Visual Analysis of Massive Data for Decision Support and Operational
** http://bit.ly/hicss45 **

Hawaii International Conference for Systems Sciences 45
Grand Wailea, Maui, Hawaii       /      January 4-7 2012

Submissions due June 15, 2011
Submission information: http://www.hicss.hawaii.edu/hicss_45/apahome45.htm

This minitrack builds upon earlier HICSS minitracks on visual analytics,
mobile computing, and digital media at scale. It seeks to define
commonalities between analytical methods that utilize interactive
visualization to cope with challenges posed by data, platform, and
application. These include:
-Processing massive data from data archives and real-time data streams.
-Need for predictive and real-time analytics and operations management,
-Mobile device limitations: battery, processing capacity, screens and
-Need to coordinate across multiple roles and tasks within and across
-Interoperability of mobile, desktop, tabletop, wall, and virtual

Innovations in computers, graphical displays and sensors give us the
capability to generate, process, and visualize data from real-time data
streams and massive data archives. Advanced data analysis approaches
generate new algorithms, applications, and communication protocols optimized
for platforms that include supercomputers and low-wattage mobile computers.
Innovations in computer graphics and human-information interaction provide
the basis for novel interactive visualization systems that can support the
innate human ability to characterize, analyze, and manipulate information in
complex interactive visual and multimodal environments across a multitude of
devices, from mobile phones to supercomputers.

Taken in isolation, both algorithmic "data sciences" approaches and
human-centered "visual analytics" human-computer interface methods hold
great promise for operationalizing massive datasets and streaming data in
support of a broad range of human activities. Applications in basic
scientific research, business analytics, health sciences, environmental
science and engineering R&D explore the implications of these methods for
advancement of knowledge and strategic planning. Applications in
coordination, command and control of complex human activities such as
disaster relief, law enforcement, and anti-terrorism add the constraints of
real-time performance and distribution of planning to the challenges faced.

We invite mathematical, computational, cognitive, and organizational
perspectives on the use of advanced data processing and interactive
visualization approaches to understanding and controlling complex systems
across a range of human endeavors.
We also invite participation from researchers who are looking at scaling
issues and multi-scale issues, whether these scales refer to the time of
decision making, the form-factor and operational constraints of mobile
devices, the number of decision makers or the more traditional notion of
multi-scale simulation and real-world scales of data.
We are particularly interested in papers that report on an effective
synthesis of algorithms and visualization with an impact on decision-making
and/or coordination of operations, as evidenced by either realist
simulations or adoption in a concrete mission.

This minitrack seeks to bring together researchers and problem owners
working in these areas to present research methods and findings and to
discuss their approaches and ideas to advance the state-of-the-art for this
class of complex "wicked" problems.

David Ebert Purdue University Email: ebert at purdue.edu
Brian Fisher Simon Fraser University Email: bfisher at sfu.ca
John Goodall, Oak Ridge National Laboratory Email: jgoodall at ornl.gov
Paul Kantor Rutgers University Email: paul.kantor at rutgers.edu

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