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Dear colleagues--- Please consider submitting a paper to the Decision
Intelligence and
Visual Analytics Minitrack (
Decision Analytics and Service Science Track, HICSS 57) by June 15, 2023
to be held Jan 3-6, 2024, Hawaiian Village, Waikiki, HI, 2024
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href="https://hicss.hawaii.edu/tracks-57/decision-analytics-and-service-science/#decision-intelligence-and-visual-analytics-minitrack"
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data-tab-history-update-url="true"><span>Decision Intelligence and
Visual Analytics Minitrack</span></a><br>
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<p class="panel-title active">Submissions here: <a
href="https://hicss-submissions.org/">https://hicss-submissions.org/</a></p>
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<div class="uncode_text_column"><p>This minitrack seeks
submissions that discuss how to augment human reasoning and decision
making through interactive data visualization coupled with statistical
and machine learning processes. This Hybrid Intelligence approach has
applications in a broad range of situations where human expertise must
be brought to bear on problems characterized by complex causal models,
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. Visual analytic environments have been
widely used for pandemic policy making, response planning and execution.
There has also been a growth in visual decision making environments to
analyze supply chain risks, climate resiliency and adaptation.</p>
<p>Submissions are encouraged that focus on technological and
sociotechnical approaches to support individual and collaborative
analysis and decision making in organizations. Core issues of theory and
methods for decision intelligence, collaborative work, data
visualization, analytics, and knowledge integration in organizations.
Case studies of applications of these methods to new analytic and
decision making tasks in science and technology, public health, business
intelligence, financial analysis, social sciences, and other domains
are particularly welcome. Submissions may include studies of visual
analytics and decision intelligence in the context of an organization
(e.g., business planning, communication with analysts and
policy-makers), perceptual and cognitive aspects of graphical
visualization environments in the context of cognitive tasks,
Interactive Machine Learning, and collaborative analysis using visual
information systems. Additionally, submissions may include methods for
understandable, trustable AI as well as human-guided AI to round out the
problem-solving process. Emphasis will be given to submissions that use
visual analytics for social change discovery, analysis, communication,
and focus on mixed-initiative human/AI analysis. Topics for this
minitrack include, but are not limited to:</p>
<ul><li class="p1">Decision Intelligence approaches to computer
augmented decision-making.</li><li class="p1">Use of interactive
visualization and visual analytics in in organizations.</li><li
class="p1">Applications of visual analytics.</li><li class="p1">Visual
analytics and visualization in “wicked” problem solving in
organizations.</li><li class="p1">Analysis of datasets of varying size
and complexity from archives and real-time streams</li><li class="p1">Collaborative
visual analysis and operational coordination within and across
organizations.</li><li class="p1">Interactive and visual risk-based
decision making</li><li class="p1">Interactive machine learning methods</li><li
class="p1">Managing response time of complex analytical tasks</li><li
class="p1">Effective deployment and case studies of success from
deployed visualization and analytics experiences</li><li class="p1">Visualization
and analytics for data-driven policy making and decision support</li><li
class="p1">Issues and challenges in evaluation of visual decision
making</li><li class="p1">Mixed-initiative analysis methods for decision
making</li><li class="p1">Cognitive and social science aspects of
visual decision-making environments</li></ul>
<p>Authors are encouraged to bring the lens of their own background and
expertise to discuss the complexities of advanced analytic and decision
intelligence systems in organizations, coordination of multiple levels
of analysis, decision-making and operations and design and evaluation of
effective communication with and among diverse stakeholders. We invite
computational, cognitive, and organizational perspectives on advanced
data processing and interactive visualization for analysis and
decision-making 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” or Interactive Machine Learning 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.</p>
<h5 class="font_8">Minitrack Co-Chairs:</h5>
<p><strong>David Ebert</strong> (Primary Contact)<br>
University of Oklahoma<br>
<a class="moz-txt-link-abbreviated" href="mailto:ebert@ou.edu">ebert@ou.edu</a></p>
<p><strong>Brian Fisher</strong><br>
Simon Fraser University<br>
<a class="moz-txt-link-abbreviated" href="mailto:bfisher@sfu.ca">bfisher@sfu.ca</a></p>
<p><strong>Kelly Gaither</strong><br>
University of Texas at Austin<br>
<a class="moz-txt-link-abbreviated" href="mailto:kelly@tacc.utexas.edu">kelly@tacc.utexas.edu</a></p>
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<br>
<div class="moz-signature">-- <br>
<div><span style="color: #a6192e;"><b>Brian D.
Fisher, Ph.D.</b></span><br>Professor <span style="color: #993300;">|</span> School
of Interactive Arts and Technology<br><span style="font-size: 10pt;">Faculty
of
Communication, Art and Technology <span style="color: #993300;">|</span>
Simon Fraser University</span><br><span style="font-size: 10pt;">Rm.
7475 <span style="color: #993300;">|</span> 13450-102 Avenue, Surrey BC,
V3T 0A3</span><br>
<span style="font-size: 10pt;"></span><span style="font-size: 10pt;"><br>
SFU Research: <a class="moz-txt-link-freetext" href="https://tinyurl.com/2s3kmjcd">https://tinyurl.com/2s3kmjcd</a> <br>
Department Page: <a class="moz-txt-link-freetext" href="http://www.sfu.ca/siat/people/faculty/brian-fisher.html">http://www.sfu.ca/siat/people/faculty/brian-fisher.html</a><br>
ORCID: <a class="moz-txt-link-freetext" href="http://orcid.org/0000-0001-5665-5709">http://orcid.org/0000-0001-5665-5709</a><br>
<span></span>
<br>
<span style="color: #993300;"></span></span></div>
<div><img src="http://www.sfu.ca/%7Eapillay/SFU_HORIZ_SIG.png"><br><br><span
style="font-size: 9pt;">At
Simon Fraser University, we live and work on the unceded
traditional territories of the Coast Salish peoples of the
xʷməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and
Səl̓ílwətaɬ (Tsleil-Waututh) Nations.</span></div>
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