[Infovis] CFP - Interactive Visual Decision Analytics at HICSS-50: January 4-7, 2017 Hilton Waikoloa Village, Hawaii -- Submission Deadline June 15, 2016

[David S. Ebert]

We are soliciting papers in interactive visualization and analytics for
decision support, operational management, and scientific discovery as part
of the Interactive Visual Decision Analytics minitrack  of the Decision
Analytics Track at HICSS 50. Accepted paper will appear in the proceedings
as well as the IEEE Digital Library. HICSS is always one of the top
conferences for downloads in the IEEE Digital Library!

 

A description of the paper topics is below, the minitrack RFP is below, and
the conference RFP is available at http://www.hicss.org/#!authors/ccjp.
Please contact us with any questions.

 

We look forward to receiving your submissions by June 15,

 

David, Brian, Kelly

 

 

David Ebert

Brian Fisher

Kelly Gaither

 

 

- Dr. David S. Ebert, School of Electrical and Computer Engineering
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- Silicon Valley Professor of Electrical and Computer Engineering
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- Purdue University; 465 Northwestern Ave., West Lafayette, IN 47907  -

- Director, Visual Analytics for Command, Control, and Interoperability   -

-    Environments (VACCINE), DHS CCI Center of Excellence
-

-    http://www.VisualAnalytics-CCI.org
-

- Director, Purdue Visualization and Analytics Center, www.purvac.org   -

- ebertd at purdue.edu http://www.ece.purdue.edu/~ebertd                     -

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Minitrack: Interactive Visual Decision Analytics

DECISION ANALYTICS, MOBILE SERVICES AND SERVICE SCIENCE

 

 

 

Interactive Visual Decision Analytics supports human decision making through
interaction with data and statistical and machine learning processes. IVDA
applies in broad range of situations where human expertise must be brought
to bear on problems characterized by massive datasets and data that are
uncertain in fact, relevance, location in space and position in time.
Current applications include environmental science and technologies, natural
resources and energy, health and related life sciences, precision medicine,
safety and security and business processes. We also encourage submissions
that extend the areas of use to new analytic tasks in science and
technology, public health, business intelligence, financial analysis, and
other domains. Submissions may include studies of visual analytics and
decision support in the context of an organization (e.g., communication
between analysts and policy-makers), perceptual and cognitive aspects of the
analytic task, Interactive Machine Learning, and collaborative analysis
using visual information systems. 

 

Submissions may include studies of visual analytics and decision support in
the context of an organization (e.g., communication between analysts and
policy-makers), perceptual and cognitive aspects of the analytic task, and
collaborative analysis using visual information systems. We seek to define
analytical methods and technologies that use interactive visualization to
meet challenges posed by data, platforms, and applications for decision
making and risk-based decision making, such as:

. Visualization and Analysis of datasets of varying size and complexity from
archives and real-time streams

. Collaborative visual analysis and operational coordination within and
across organizations.

. Interactive and Visual Risk-based decision making

. Cross-platform interoperability, from mobiles to data walls

. Managing response time of complex analytical tasks

. Effective deployment and case studies of success from deployed
visualization and analytics experiences

 

We invite computational, cognitive, and organizational perspectives on
advanced data processing and interactive visualization across a range of
human endeavors. We also invite participation from researchers who are
looking at scaling issues and multiscale 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 multiscale simulation and real world scales of data. We are
particularly interested in approaches that combine computational and
interactive analytics in "mixed initiative" systems, decision support in the
context of an organization (e.g. communication between analysts and
policy-makers), perceptual and cognitive aspects of the analytic task, and
collaborative analysis using visual information systems.

 

Authors are encouraged to bring the lens of their own background and
expertise to focus on the analytics of the data itself and coordination of
multiple levels of analysis and operations to the design and evaluation of
effective presentations for stakeholders