[Infovis] CFP HICSS Interactive Visual Analytics and Visualization for Decision Making minitrack

[Brian Fisher]

Please consider submitting your paper to: Interactive Visual Analytics and Visualization for Decision Making - Making Sense of a Growing Digital World Minitrack
( Decision Analytics, Mobile Services, and Service Science Track, HICSS 52) by : June 15, 2018

David Ebert (Primary Contact) Purdue University ebertd at purdue.edu<mailto:ebertd at purdue.edu>
Brian Fisher Simon Fraser University bfisher at sfu.ca<mailto:bfisher at sfu.ca>
Kelly Gaither University of Texas kelly at tacc.utexas.edu<mailto:kelly at tacc.utexas.edu>

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52nd HICSS 2019, Maui, Hawaii
January 8-11, 2019 – Maui, Hawaii

URL:http://hicss.hawaii.edu/tracks-and-minitracks/authors/

Submission Deadline: June 15, 2018 | 11:59 pm HST
Notification of Acceptance/Rejection: August 17, 2018


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.

We encourage submissions that extend the areas of use to new analytic tasks in science and technology, public health, business intelligence, the digital economy, financial analysis, data-driven policy and decision-making, social sciences, and other domains. Particular emphasis will be given to submissions that use visual analytics for social change discovery, analysis and communication. 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.

Minitrack Co-Chairs:

David Ebert (Primary Contact) Purdue University ebertd at purdue.edu<mailto:ebertd at purdue.edu>

Brian Fisher Simon Fraser University bfisher at sfu.ca<mailto:bfisher at sfu.ca>

Kelly Gaither University of Texas kelly at tacc.utexas.edu<mailto:kelly at tacc.utexas.edu>