IV2024 – 28th International Conference Information Visualisation

23-26 July 2024

 Coimbra University ● Portugal

https://www.graphicslink.co.uk/IV2024/index.htm

Call for Papers, Poster, Videos, and Participation

Theme and scope are planned as a series of symposia with details, and further information is available at IV2024: https://iv.csites.fct.unl.pt/fi/symposia/

Submission Porta: https://www.conftool.org/IV-cgiv-2024/

Publication:  https://iv.csites.fct.unl.pt/fi/call-for-papers/publication/

Visual Analytics is the science of analytical reasoning empowered by interactive visualizations. The research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance knowledge discovery using machine learning, data mining, and artificial intelligence methods. In contrast, Visual Analytics commonly allows direct manipulation of the underlying models through graphical representations. By leveraging human perception of the visual space, patterns that might not otherwise be discovered emerge. Visual Analytics utilizes concepts from various disciplines, including computer graphics, information visualization, machine learning, artificial intelligence, knowledge discovery, cognition, and visual perception.

The topics of interest include but are not limited to:

• Combining visual and computational methods of Data Analysis, Machine Learning, and Artificial Intelligence
• Visual Analytics models and approaches
• Novel Visual Analytics applications
• Visual Trend Analytics
• Visual Analytics, geo-visualization, and geographical visualization of spatial, temporal, and Spatio-temporal data
• Visualization support for multi-criteria decision analysis related to multivariate and spatial data
• Knowledge construction and management in Visual Analytics
• Guidance in Visual Analytics
• Intelligent approaches of Visual Analytics and Data Science
• Adaptive Visual Analytics

• Integrative visual analytics and artificial intelligence systems and approaches

• AI and visual analytics to support decision-making

• Techniques and methods in explainable AI

• Visual analytic solutions for handling big data challenges

• HCI issues of geographical and Spatio-temporal visual analytics
• Cognitive approaches and explanations for Visual Analytics
• Visual Analytics for explaining AI
• Visualization of Data Mining algorithms
• Empirical performance studies
• Evaluation of Visual Data Mining methods
• Collaborative Visual Analytics and Data Science
• Computational steering for long-running Data Mining applications
• Reviews and surveys of related literature

Preconference course:     Doctoral Research Workshop

Researcher Link Forum:   Research Project Collaboration

Focus Group Publication: Post-conference publication

——————————————————————————-

Important Dates – https://iv.csites.fct.unl.pt/fi/call-for-papers/important-dates/

Submission Portal: https://www.conftool.org/IV-cgiv-2024/

========= ===================================

General Co-Chairs:
Ebad Banissi (Em Prof. Dr), LSBU, UK
Dr Evgheni Polisciuc, Coimbra University, Portugal

Symposium General Co-Chairs:
Kawa Nazemi (Prof.), Darmstadt University of Applied Sciences, Germany – Visual Analytics and Data Science
Boris Kovalerchuk (Prof.), University of Central Washington, USA – AI and Visual Knowledge Discovery
Urska Cvek (Prof.), Louisiana State University, USA – Visualization and Artificial Intelligence for Medicine, Healthcare
Anna Ursyn (Prof.), University of Northern Colorado, USA – Digital Art and Gallery