Call for Papers

Workshop on Trustable, Reproducible and Intelligent Information Visualization Systems (TRI-IVIS)

Co-located with the 18th International Conference on Advanced Visual Interfaces AVI 2026, 8th-12th June 2026, Venice, Italy

https://triivis26.di.uniba.it

Overview

TRI-IVIS continues a series of events organized at the Advanced Visual Interfaces (AVI) conference, previously focusing on  Big Data Applications (BDA) and Information Visualization Systems (IVIS). The AVI 2026 reframes this line of work around Trustable, Reproducible and Intelligent Information Visualization Systems (TRI-VIS) that explicitly support trust, reproducibility, regulatory compliance, and visual analytics in data-intensive environments. Its goal is to advance methods and systems for managing, computing, and analyzing large-scale and complex data by integrating Artificial Intelligence (AI), Machine Learning (ML), Big Data analytics, and advanced visual interfaces in a principled and transparent manner. 

The workshop builds upon the conceptual foundations established by the AI2VIS4BigData Reference Model, introduced in earlier editions of this workshop at AVI 2016 and AVI 2020. This reference model provides a structured framework for coupling AI-driven analytics with interactive visualizations, with particular emphasis on explainability, traceability, and trustworthy data exploration—key prerequisites for reproducible and regulation-aware information systems. 

An exemplar focus of the AVI 2026 edition is on, but is not limited to, genomic applications for AI-supported laboratory diagnostics. This domain is particularly suitable as it concentrates many of the workshop’s core challenges, including highly heterogeneous and large-scale data, long-term and distributed data storage, multi-stakeholder usage scenarios, knowledge discovery, user perception, ethical constraints, and regulatory requirements. At the same time, the workshop explicitly encourages cross-domain transfer of methods and models.

The target audience is mainly composed of researchers and practitioners working in AI and ML, Big Data analysis, and IVIS. The workshop targets application domains in which large-scale, heterogeneous, and semantically rich data must be interpreted and communicated in a trustworthy and reproducible manner, including healthcare, life sciences, digital humanities, digital hermeneutics, scientific publications as well as meetings, incentives, conferences and events (MICE) mangement services. Contributions from related disciplines such as philosophy (e.g. ethics, trust, and interpretability) and psychology (e.g. perception and cognitive aspects of visualization) are strongly encouraged. 

Participation from the genomic and bioinformatics communities is also welcome. In this respect, the workshop can be seen as a continuation of the IEEE BIBM 2025 Workshop on Genomic Foundation Models for Diagnostic Innovation, held in Wuhan on December 15, 2025, while broadening its scope toward visual analytics, AI-enabled decision support, reproducibility, and cross-domain regulatory-aware information management.

Topics of interest

The edition particularly welcomes contributions adressing the integration of: 

• Cloud Resources into Service-oriented Big Data Analysis and Information Visualization Architectures 

• Information Extraction and Organization into Big Data Analysis and Information Visualization applications 

• Regulatory Compliance Approaches into Big Data Analysis and Information Visualization Approaches, like, e.g., especially in the Medical and Health Application Domains 

• Trust Mechanisms into ML and AI support within Big Data Analysis and Information Visualization Applications 

The workshop is most indicated for people interested in the following AVI topics: 

• Information visualization 

• Intelligent interfaces 

• Responsible design 

• Health, well-being, and self-actualization

Organizers

Paolo Buono, University of Bari, Italy 

Philippe Tamla, FernUniversität in Hagen, Germany 

Thomas Krause, FernUniversität in Hagen, Germany 

Haithem Afli, Munster University of Technology, Ireland

Matthias Hemmje, FernUniversität in Hagen, Germany

Important Dates

• Paper submission (strict deadline): March 29th, 2026

• Notification to authors: April 10th, 2026

• Camera-ready due: April 21st, 2026

Submission

Authors can submit and update their submissions through the EasyChair system

The minimum length of a paper should be five "standard" pages (=2500 chars per page, calculated from a sample of one-column papers). The submission is double-blinded. Please, when submitting, do not include authors and affiliations in the paper. 

We require that authors use the CEURART template for writing papers to be published with CEUR-WS.  An Overleaf page for LaTeX users is available at as template.

Authors of selected papers will be asked to submit an extended version for publication to Springer Lecture Notes in Computer Science (LNCS) series.

Questions

For questions regarding the workshop, contact Prof. Paolo Buono, paolo.buono@uniba.it