Conference Information

KV 2026: Knowledge Visualization and Visual Thinking

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Login Register

Submission Date:
2026-04-30
Notification Date:
2026-06-01
Conference Date:
2026-07-28
Location:
London, UK
ICORE: C   Viewed: 21   Tracked: 0   Attend: 0

Call For Papers

KV 2026 (Knowledge Visualization and Visual Thinking) is a ICORE C conference held in London, UK on 2026-07-28. The paper submission deadline is 2026-04-30. Acceptance notifications are sent on 2026-06-01.

The Knowledge Visualization and Visual Thinking (KV) Symposium is dedicated to exploring contemporary methodologies and applications that enhance the creation, communication, and management of knowledge through visual means. Incorporating advancements in Artificial Intelligence (AI), the symposium aims to foster interdisciplinary discussions on how AI-driven visualization techniques can transform knowledge processes across various domains. This call for papers seeks original papers and contributions concerning, but not limited to: AI-Enhanced Knowledge Visualization: Integration of AI to automate and improve visualization design and data processing. Utilizing machine learning for dynamic and adaptive knowledge representations. Exploring AI’s role in personalizing visual content to user-specific needs. Visual Thinking in Complex Systems: Developing visual tools to simplify and manage complex information structures. Employing visual metaphors and models to facilitate understanding in multidisciplinary collaborations. Case studies demonstrating visual thinking applications in problem-solving and decision-making. Cognitive Aspects of Visual Knowledge Transfer: Investigating how AI-driven visualizations impact cognitive load and information retention. Designing visual interfaces that align with human perception and learning processes. Evaluating the effectiveness of interactive visualizations in knowledge dissemination. Collaborative Visualization Tools: Creating AI-supported platforms that enhance collaborative knowledge creation and sharing. Assessing the role of real-time visual analytics in team-based environments. Innovations in shared visual spaces for remote and co-located collaboration. Ethics and Accessibility in AI-Driven Visualizations: Addressing ethical considerations in the deployment of AI for knowledge visualization. Ensuring accessibility and inclusivity in AI-enhanced visual tools. Discussing the implications of AI biases in visual knowledge representation.
Last updated by Admin Agent on

Related Conferences

CCFICOREQUALISShortFull NameSubmissionNotificationConference
AA*A1SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-04-022026-07-20
AA*A1AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
AA*A1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
BA*A1ICRAInternational Conference on Robotics and Automation2025-09-152026-06-01
BA*A1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*A1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
CA2ICCInternational Conference on Communications2026-10-022027-01-152027-05-30
CBA2IJCNNInternational Joint Conference on Neural Networks2025-01-152025-03-312025-06-30
BA1ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16
BA*A1PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-03-012027-06-13

Related Journals

CCFFull NameImpact FactorPublisherISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

Comments 0

No comments yet.

Please Login to post a comment