Dear Colleagues: We are soliciting papers on information systems 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 papers 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
ebertd@purdue.edu
Brian Fisher
bfisher@sfu.ca
Kelly Gaither
kelly@tacc.utexas.edu
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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
--
Brian Fisher
Associate Professor, SFU School of Interactive Arts and Technology
Associate Director, UBC Media And Graphics Interdisciplinary Centre
http://www.sfu.ca/siat/about/people/faculty/brian-fisher.html
http://interaction-science.iat.sfu.ca
Linked IN:http://www.linkedin.com/pub/brian-fisher/0/55/97
ORCID:http://orcid.org/0000-0001-5665-5709
Google Scholarhttp://scholar.google.com/citations?user=1NGZwzoAAAAJ
ResearchGate:http://www.researchgate.net/profile/Brian_Fisher2/
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