[Ieee_vis] June 15 submission deadline for Interactive Visual Analytics for Knowledge Integration and Decision Intelligence @ HICSS

[Brian Fisher]

Dear colleagues--- Please consider submitting a paper to the Interactive 
Visual Analytics for Knowledge Integration and Decision Intelligence ( 
Decision Analytics and Service Science Track, HICSS 56) by June 15, 2022 
to be held at the Hyatt Regency Hotel, Maui January 3-6, 2023.

Interactive Visual Analytics for Knowledge Integration and Decision 
Intelligence 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. In 
partnership with organizations in defence, health care, and business, 
visual analytics research methods combining laboratory studies, 
cognitive ethnography, and field experiments have aided the design of 
information systems for decision making about injuries to children, 
multiomic precision health, radiological diagnosis, and VR for conflict 
zone operations.

Submissions are encouraged that focus on the core issues of theory and 
methods for visualization, analytics, knowledge integration and decision 
intelligence 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 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. Emphasis will be given to submissions that use 
visual analytics for social change discovery, analysis, communication, 
and focus on mixed-initiative human/AI analysis.

This proposal builds upon our successful HICSS-47, HICSS-48, HICSS-49, 
HICSS-50, HICSS-51, HICSS-52, HICSS-53 and HICSS-54 +HICSS-55 minitracks 
on visual analytics for decision support and our earlier minitracks on 
visual analytics, mobile computing, and digital media at scale. It seeks 
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:

Analysis of multi-perspective knowledge integration, synthesis and 
engineering in organizations.
Use of interactive visualization and visual analytics in digital economies
Visual analytics and visualization in “wicked” problem solving in 
organizations
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
Interactive machine learning methods
Managing response time of complex analytical tasks
Effective deployment and case studies of success from deployed 
visualization and analytics experiences
Visualization and analytics for data-driven policy making and decision 
support
Issues and challenges in evaluation of visual decision making
Mixed-initiative analysis methods for decision making
Cognitive and social science aspects of visual decision-making environments

For HICSS 2023 we extend our focus to multidisciplinary collaboration 
among researcher from a variety of 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. 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.

More information about this minitrack can be found here: 
https://hicss.hawaii.edu/tracks-56/decision-analytics-and-service-science/#interactive-visual-analytics-for-knowledge-integration-and-decision-intelligence-minitrack 
. Please see author instructions at: https://hicss.hawaii.edu/authors/ 
and feel free to contact the co-chairs with any questions.

Minitrack Co-Chairs:
David Ebert
Purdue University
ebertd at purdue.edu

Brian Fisher
Simon Fraser University
bfisher at sfu.ca

Kelly Gaither
University of Texas at Austin
kelly at tacc.utexas.edu

-- 
-- 
*Brian D. Fisher, Ph.D.*
Professor | School of Interactive Arts and Technology

Faculty of Communication, Art and Technology | Simon Fraser University
Rm. 7475 | 13450-102 Avenue, Surrey BC, V3T 0A3
T: +1 (778) 873 -7324




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.
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