Call for Paper: IV2026 & AI-Viz2026

The IV2026 – 30th International Conference on Information Visualisation and the AI2026 – 7th International Conference on AI & Visualisation will take place from 28–31 July 2026 at the SOAS University of London in London, United Kingdom.

Marking the 30th anniversary of the IV conference series and the 7th edition of AI & Visualisation, the 2026 event continues a long-standing international forum dedicated to advances in information visualisation, visual analytics, and AI-driven visual computing.

The Call for Papers, Posters, and Participation is now open.
Submission deadline: 30 March 2026.
Submissions must be made via the official conference submission portal.

 

VA 2026 – 14th International Symposium on Visual Analytics and Artificial Intelligence &

AI-Viz26 – 7th International Conference AI&Visualisation

Visual Analytics is the science of analytical reasoning empowered by interactive visualisations. It is closely related to Artificial Intelligence and Machine Learning, as both fields aim to enhance knowledge discovery and decision-making using computational methods such as machine learning, data mining, and modern AI techniques.

In contrast to fully automated approaches, Visual Analytics keeps the human in the loop. Through interactive exploration and direct manipulation of underlying models, analysts can:

  • Reveal patterns and structures in complex data

  • Validate hypotheses and detect anomalies

  • Develop trust in model outcomes

  • Support transparent, controllable, and auditable AI-assisted workflows

With the rise of foundation models and Large Language Models (LLMs), new opportunities emerge to transform unstructured natural language, documents, and LLM-generated outputs into structured representations suitable for interactive visual exploration. The tight coupling of extraction, interaction, and visual sensemaking forms the basis for next-generation AI-supported analytics systems.

Visual Analytics integrates concepts from computer graphics, information visualisation, human-computer interaction, machine learning, artificial intelligence, knowledge discovery, cognition, and visual perception.

Topics include, but are not limited to:

  • Combining visual and computational methods for data analysis, machine learning, and AI

  • Visual Analytics models, pipelines, and interactive approaches

  • Human-in-the-loop AI and interactive machine learning

  • Visual trend analytics and real-time/streaming analytics

  • Visual Analytics for spatial, temporal, and spatio-temporal data

  • Explainable AI, interpretable machine learning, and uncertainty-aware visualisation

  • Visual Analytics for foundation models, Transformers, and LLMs

  • Visual interaction for prompting, steering, and auditing LLM-based workflows

  • Retrieval-augmented generation (RAG) and visual interfaces for grounding and evidence tracing

  • Visualisation of embeddings, attention mechanisms, and generative outputs

  • Model debugging, monitoring, and drift detection

  • Fairness, accountability, transparency, privacy, and security in AI systems

  • Medical and biomedical Visual Analytics

  • Collaborative Visual Analytics and AI-supported workflows

  • Evaluation methods, benchmarks, and reproducibility studies

 

Conference Structure and Thematic Symposia

IV2026 and AI2026 are structured as a series of thematic symposia, including:

  • Information Visualisation Theory & Practice (InfVis)

  • Human-Computer Interaction for Information Visualization (HCI)

  • Knowledge Visualization (KV)

  • AI&Visualisation (AI-VIZ)

  • AI and Visual Knowledge Discovery (AI&VKD)

  • Explainable and Interpretable AI through Visualisation (EIaiV)

  • Visualization and AI for Medicine and Healthcare (AIMH)

  • Sustainability and Environmental AI-Visualization (SE_AIV)

  • Geometric Modelling and Imaging (GMAI)

  • Digital Art and Visual Computing tracks

Additional formats include a Doctoral Research Workshop, Researcher Link Forum for international project collaboration, tutorials, panels, and post-conference focus publications.

Organisation and Supporting Bodies

The VA symposium is co-organised by:

  • Prof. Kawa Nazemi, Darmstadt University of Applied Sciences,  European University of Technolgy (EUt+), hessian.AI

  • Cristian A. Secco, Faculty of Computer Science, Darmstadt University of Applied Sciences

Supporting institutions include:

  • Darmstadt University of Applied Sciences, VIS-Group

  • NOVA LINCS

  • ISEL – Instituto Politécnico de Lisboa

Conference Dates: 28–31 July 2026
Location: SOAS University of London, United Kingdom
Submission Deadline: 30 March 2026
Submission Portal: https://www.conftool.org/IV-cgiv-2026/
Conference Website: https://iv.csites.fct.unl.pt/uk/

Researchers and practitioners working at the intersection of Visual Analytics, Artificial Intelligence, and Interactive Visualisation are invited to contribute to IV2026 and VA 2026 in London.