Events

Interactive Visual Decision Analytics supports human decision making through interaction with data and statistical and machine learning processes. IVDA applies in 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 also encourage submissions that extend the areas of use to new analytic tasks in science and technology, public health, business intelligence, financial analysis, and other domains. 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.

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, and collaborative analysis using visual information systems. We seek 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, such as:

• Visualization and 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
• Cross-platform interoperability, from mobiles to data walls
• Managing response time of complex analytical tasks
• Effective deployment and case studies of success from deployed visualization and analytics experiences

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" 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.

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 and operations to the design and evaluation of
effective presentations for stakeholders
 

Event chairs:

David Ebert ebertd@purdue.edu
Brian Fisher bfisher@sfu.ca
Kelly Gaither kelly@tacc.utexas.edu