<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<meta name="Generator" content="Microsoft Word 15 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
{font-family:Verdana;
panose-1:2 11 6 4 3 5 4 4 2 4;}
@font-face
{font-family:Consolas;
panose-1:2 11 6 9 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
pre
{mso-style-priority:99;
mso-style-link:"HTML Preformatted Char";
margin:0cm;
margin-bottom:.0001pt;
font-size:10.0pt;
font-family:"Courier New";}
span.HTMLPreformattedChar
{mso-style-name:"HTML Preformatted Char";
mso-style-priority:99;
mso-style-link:"HTML Preformatted";
font-family:Consolas;}
p.panel-title, li.panel-title, div.panel-title
{mso-style-name:panel-title;
mso-margin-top-alt:auto;
margin-right:0cm;
mso-margin-bottom-alt:auto;
margin-left:0cm;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
span.apple-converted-space
{mso-style-name:apple-converted-space;}
span.EmailStyle23
{mso-style-type:personal-reply;
font-family:"Calibri",sans-serif;
color:windowtext;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:72.0pt 72.0pt 72.0pt 72.0pt;}
div.WordSection1
{page:WordSection1;}
--></style>
</head>
<body lang="EN-CA" link="blue" vlink="purple">
<div class="WordSection1">
<p class="MsoNormal" style="margin-left:36.0pt"><span style="color:black"> </span><o:p></o:p></p>
<p class="panel-title" style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:36.0pt;margin-bottom:.0001pt;background:white">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"><br>
</span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133"><a href="https://hicss.hawaii.edu/tracks-54/decision-analytics-and-service-science/#interactive-visual-analytics-and-visualization-for-decision-making-minitrack"><span style="color:#303133;text-transform:uppercase;letter-spacing:1.2pt;border:none windowtext 1.0pt;padding:0cm">INTERACTIVE
VISUAL ANALYTICS AND VISUALIZATION FOR DECISION MAKING MINITRACK</span></a></span><o:p></o:p></p>
<p class="panel-title" style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:36.0pt;margin-bottom:.0001pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133"> </span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Interactive Visual Analytics and Visualization for Decision Making supports human decision making through interaction with data and statistical and machine learning processes, with
applications in a 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.</span><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:13.5pt;margin-right:0cm;margin-bottom:0cm;margin-left:36.0pt;margin-bottom:.0001pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Submissions are encouraged that extend the areas of use to new analytic tasks in science and technology, public health, business intelligence, financial analysis, social sciences, and
other domains. Particular emphasis will be given to submissions that use visual analytics for social change discovery, analysis, communication, and focus on mixed initiative analysis recognizing that human and machine have a distinct division of labor in the
problem-solving process. 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. Additionally, submissions may include understandable, trustable AI as well as human-guided AI to round out the problem-solving process.</span><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:13.5pt;margin-right:0cm;margin-bottom:0cm;margin-left:36.0pt;margin-bottom:.0001pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">We encourage authors to address the following themes from their own research perspectives. 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, decision-making and operations to the design and evaluation of effective presentations for stakeholders.</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Visual
analytics and visualization in digital economies</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Visual
analytics and visualization in “wicked” problems</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Visualization
in organizational analytics</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Visualization
and analysis of datasets of varying size and complexity from archives and real-time streams</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Collaborative
visual analysis and operational coordination within and across organizations.</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Interactive
and visual risk-based decision making</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Interactive
machine learning methods</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Managing
response time of complex analytical tasks</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Effective
deployment and case studies of success from deployed visualization and analytics experiences</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Visualization
and analytics for data-driven policy making and decision support</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Issues
and challenges in evaluation of visual decision making</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Mixed-initiative
analysis methods for decision making</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-indent:-18.0pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:10.0pt;color:#303133">·</span><span style="font-size:7.0pt;font-family:"Times New Roman",serif;color:#303133"> <span class="apple-converted-space"> </span></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">Cognitive
and social science aspects of visual decision-making environments</span><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:13.5pt;margin-right:0cm;margin-bottom:0cm;margin-left:36.0pt;margin-bottom:.0001pt;background:white;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;background-position:initial initial;background-repeat:initial initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#303133">For this minitrack, 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” 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.</span><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Please see author instructions at: <a href="https://hicss.hawaii.edu/authors/"><span style="color:#814E95">https://hicss.hawaii.edu/authors/</span></a> and feel
free to contact the co-chairs with any questions.</span></b><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></b></p>
<p class="MsoNormal" style="margin-top:13.5pt;background:white"><o:p> </o:p></p>
<p class="MsoNormal" style="margin-left:36.0pt"> <o:p></o:p></p>
<p class="MsoNormal" style="margin-left:72.0pt"><b><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Minitrack Co-Chairs:</span></b><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:72.0pt"><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black"> </span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:72.0pt"><b><span style="font-family:"Verdana",sans-serif;color:black">David Ebert</span></b><span style="font-family:"Verdana",sans-serif;color:black"> <br>
Purdue University<br>
</span><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black"><a href="mailto:ebertd@purdue.edu"><span style="font-size:11.0pt;color:#814E95">ebertd@purdue.edu</span></a></span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:72.0pt"><b><span style="font-family:"Verdana",sans-serif;color:black">Brian Fisher</span></b><span style="font-family:"Verdana",sans-serif;color:black"><br>
Simon Fraser University<br>
</span><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black"><a href="mailto:bfisher@sfu.ca"><span style="font-size:11.0pt;color:#814E95">bfisher@sfu.ca</span></a></span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:72.0pt"><b><span style="font-family:"Verdana",sans-serif;color:black">Kelly Gaither</span></b><span style="font-family:"Verdana",sans-serif;color:black"><br>
University of Texas at Austin<br>
</span><span style="font-size:12.0pt;font-family:"Verdana",sans-serif;color:black"><a href="mailto:kelly@tacc.utexas.edu"><span style="font-size:11.0pt;color:#814E95">kelly@tacc.utexas.edu</span></a></span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:72.0pt"><span style="font-family:"Verdana",sans-serif;color:black"> </span><o:p></o:p></p>
<div style="mso-element:para-border-div;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;margin-left:72.0pt;margin-right:0cm">
<p class="MsoNormal" style="border:none;padding:0cm"><span style="font-size:12.0pt;font-family:"Verdana",sans-serif"><o:p> </o:p></span></p>
</div>
<pre style="margin-left:72.0pt"><o:p> </o:p></pre>
</div>
</body>
</html>