[Infovis] June 15 submission deadline for Decision Intelligence and Visual Analytics Minitrack @ HICSS

[Brian Fisher]

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, Ha, 2024

Decision Intelligence and Visual Analytics Minitrack 
<https://hicss.hawaii.edu/tracks-57/decision-analytics-and-service-science/#decision-intelligence-and-visual-analytics-minitrack>

Submissions here: https://hicss-submissions.org/

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.

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:

  * Decision Intelligence approaches to computer augmented decision-making.
  * Use of interactive visualization and visual analytics in in
    organizations.
  * Applications of visual analytics.
  * 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

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.


          Minitrack Co-Chairs:

*David Ebert* (Primary Contact)
University of Oklahoma
ebert at ou.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

SFU Research: https://tinyurl.com/2s3kmjcd
Department Page: http://www.sfu.ca/siat/people/faculty/brian-fisher.html
ORCID: http://orcid.org/0000-0001-5665-5709



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.