March 2026 - Infovis - infovis.org

GD 2026 – Second Call for Papers – Deadline 6 May
by Miksch Silvia 28 Mar '26

28 Mar '26

* /Note that all dates are roughly one month earlier than usual./ * /Note the new LaTeX class file: /_gd-lipics-v <https://graphdrawing.github.io/gd2026/assets/template/gd-lipics-v3.cls>3 <https://graphdrawing.github.io/gd2026/assets/template/gd-lipics-v3.cls>.cls <https://graphdrawing.github.io/gd2026/assets/template/gd-lipics-v3.cls>_ * /Note easychair open for submission/_ _ *Call for Papers: The 34th International Symposium on Graph Drawing and Network Visualization (GD 2026)* */August 17-21, 2026, St. Catharines, Canada/* _https://graphdrawing.github.io/gd2026/ <https://graphdrawing.github.io/gd2026/>_ *Graph Drawing *is concerned with the geometric representation of graphs and constitutes the algorithmic core of *Network Visualization*. Graph Drawing and Network Visualization are motivated by applications for which it is crucial to visually analyze and interact with relational datasets. Application areas include data science, social sciences, web computing, information systems, life sciences, geography, business intelligence, information security, and software engineering. The International Symposium on Graph Drawing and Network Visualization has been the main annual conference in this area for more than 30 years. Its focus is on combinatorial and algorithmic aspects of graph drawing, their experimental evaluation, as well as the design of network visualization systems and interfaces. Researchers and practitioners working on any aspects of graph drawing and network visualization are invited to contribute papers and posters and to participate in the symposium as well as the graph drawing contest. GD 2026 will be held at Brock University in St. Catharines, Canada, from August 17-21, 2026. A PhD school will take place August 17-18, 2026, followed by a reception on the evening of August 18. GD 2026 is designed to be held on-site. It is expected that regular papers are presented on site by one of the authors. To address global challenges and as an offer for authors who are unable to attend, we allow for a limited number of remote presentations, as further explained below. * * *Important dates*  Abstract Deadline: Wed May 6, 2026 (AoE) Paper (long and short) Deadline: Wed May 13, 2026 (AoE) Paper (long and short) Notification: Wed June 24, 2026 (AoE) Poster Deadline: Wed July 8, 2026 (AoE) Poster Notification: Wed July 22, 2026 (AoE) Camera-ready Version (papers and posters): Wed July 29, 2026 (AoE) Contest Deadline: Wed August 5, 2026 (AoE) PhD School: Mon August 17 – Tue August 18, 2026 Symposium: Wed August 19 – Fri August 21, 2026 *Conferences Nearby in Time and Location* The 38th Canadian Conference on Computational Geometry (_CCCG 2026 <https://sites.google.com/view/cccg-2026/home>_) will be held at Lakehead University’s Orillia Campus in Orillia, Ontario, from August 12 to 14, 2026. * Tracks* We invite authors to submit work describing original research of theoretical or practical significance to graph drawing and network visualization. To promote a balanced coverage of the field, GD has two distinct tracks, and contributions submitted to one track will not compete with contributions submitted to the other track. *Track 1: Combinatorial and algorithmic aspects* This track is mainly devoted to *fundamental theoretical graph drawing advances*, such as combinatorial and algorithmic aspects. We aim at covering a diverse set of topics, which for this track includes (but is not limited to): * Design and analysis of graph drawing algorithms * Geometric and topological graph theory * Computational topology of graphs on surfaces * Graph representations * Geometric advances and computing in graph drawing * Combinatorics and optimization in graph drawing *Track 2: Experimental, applied, and network visualization aspects* This track is mainly devoted to *conceptual and applied aspects of network visualization in the scope of* * graph drawing*, such as experimental evaluations of graph drawing and network visualization related algorithms, the development and/or evaluation of related libraries and tools, or systems and interfaces in different application areas. We aim at covering a diverse set of topics, which for this track includes (but is not limited to): * Engineering of graph drawing algorithms and network visualization approaches * Interfaces, methods, and high-quality tools for interacting with graphs and networks * Benchmarks and experimental studies in the context of graph drawing and network visualization * Cognitive studies on network visualization aesthetics and user interaction * Visualization of networks in real-world applications * Machine learning methods in graph drawing and network visualization * Graph drawing & network visualization for AI explainability and trustworthiness * * *Contribution Types* Perpendicular to the tracks, GD supports three contribution types, as well as a contest. *Long Papers* The standard contribution type is a /long paper/ that describes relevant and original research in full detail. Accepted papers in this category will be assigned a standard time slot for presentation during the conference. *Short Papers* In addition to long papers, there will be a separate category for /short papers/. Here, we welcome smaller and less extensive contributions on relevant topics. Accepted papers in this category will be assigned a shorter time for presentation during the conference. Short papers undergo the same competitive selection process as long papers. *Posters* Finally, we also solicit /poster/ submissions. Accepted posters will be presented in the poster session, and will provide a forum for the communication of late-breaking research results (which may also appear elsewhere) to the GD community. *Contest* The traditional Graph Drawing Contest is held before and during the conference. Details are provided at the _website <https://mozart.diei.unipg.it/gdcontest/2025/>_. Winning submissions will be invited by the contest committee to submit a /contest contribution/, which will appear in the proceedings. * * *Submission Format* The proceedings will be published in the open-access _LIPIcs <https://www.dagstuhl.de/en/publishing/series/details/lipics>_series. To facilitate the process, submissions have to be prepared in accordance with the _LIPIcs author instructions <https://submission.dagstuhl.de/series/details/LIPIcs#author>_. The page provides links to the LIPIcs class file along with an example and detailed author instructions. For the submission, the use of the LaTeX class file _gd-lipics-v <https://graphdrawing.github.io/gd2026/assets/template/gd-lipics-v3.cls>3 <https://graphdrawing.github.io/gd2026/assets/template/gd-lipics-v3.cls>.cls <https://graphdrawing.github.io/gd2026/assets/template/gd-lipics-v3.cls>_is requested. The class file is a wrapper around the standard LIPIcs class and implements line counting, see _CG-linecount.pdf <https://www.computational-geometry.org/guidelines/linecount_2022_09_19.pdf>_for details, as well as additional macros. Please use the \category macro to specify the track and contribution type, and use the macros \GAIDecl and \USEDecl to include your generative AI declaration and/or user study ethics declaration (see "policies" below). These will be formatted as part of the front matter, and not count towards your line limit. Submissions must not exceed the following limits: * 500 lines for long papers, * 250 lines for short papers, * 80 lines for poster abstracts, * 100 lines for contest contributions (by invitation only). The above limits do not include front matter (title, authors, affiliations, classification, etc.), acknowledgements, references, or appendices. The class files provide line counting which should be accurate in most cases. Authors should avoid substantial amounts of text in unnumbered lines. Accepted papers will have additional space to facilitate incorporating reviewer comments. The claims of long and short papers should be fully substantiated. If this information does not fit within the line limit, the authors should include it in a clearly marked appendix, whose length is not constrained and which the reviewers may read at their own discretion. For poster submissions, no appendix is expected. We also encourage authors to avoid "et al." in citations in favor of an equal mention of the surnames of all authors. For references with few authors, it is recommended to name all of them; if the number of authors is large, consider writing "(It is shown that) X [#]" or "The authors in [#] show that X" instead of "A et al. [#] show that X". *Submission Process* Papers should be submitted electronically via _Easychair <https://easychair.org/conferences/?conf=gd2026>_. Authors of posters should prepare an abstract that must be submitted together with the poster itself. Each submission will thus consist of two pdf files (the abstract and the poster). Selected papers from Track 1 and Track 2 will be invited for submission to a special issue of the *Journal of Graph Algorithms and Applications (JGAA)*. The authors of two selected papers in Track 2 will be invited to submit a substantially extended and enhanced version of their work to *IEEE Transactions on Visualization and Computer Graphics (TVCG)*. A special TVCG papers session at the Graph Drawing conference will also feature regular TVCG papers. Further details can be found at _https://www.computer.org/digital-library/journals/tvcg/tvcg-partners-with-… <https://www.computer.org/digital-library/journals/tvcg/tvcg-partners-with-c…>_ * * *Policies* GD implements a number of policies. */AI policy/* Authors are not prohibited from using generative AI (GAI), but are required to be transparent about its use and are responsible for complying with all relevant policies. PC members are prohibited from using GAI during the review process, because submitted manuscripts are confidential and may not be shared with AI platforms. The full AI policy can be found at _http://graphdrawing.org/ai.html <http://graphdrawing.org/safetoc.html>_ */User Study Ethics policy/* If a paper makes use of data from human subjects, the collection and use of such data should have been conducted carefully and should adhere to ethical standards for responsible research practice, as well as data protection regulations. The full ethics policy can be found at _http://graphdrawing.org/userstudies.html <http://graphdrawing.org/safetoc.html>_ */Code of conduct/* GD is dedicated to providing an environment that is free from harassment, bullying, discrimination, and retaliation for all participants, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices./ / The full code of conduct can be found at _http://graphdrawing.org/safetoc.html <http://graphdrawing.org/safetoc.html>_ * * *MISC TOPICS* *Lightweight Double-Blind Review Process* The review process of long and short papers will be handled in a *lightweight double-blind mode*. This means that authors are not allowed to reveal their identity in the submitted paper, but are free to disseminate draft versions of the paper prior to the conference and to give talks on the topic as they normally would. In particular, the submitted paper should not contain the authors’ names, affiliations, and email addresses. References to their own related work are allowed, as long as the supporting text maintains anonymity (e.g., using sentences in the third person). Members of the Program Committee will not have the identity of the authors of any paper revealed to them during the entire review process. To handle conflicts of interest effectively, authors will be required to declare conflicts of interest with PC members when they submit their paper. Poster submissions will be evaluated by the Program Committee in a *single-blind mode*. In particular, the submitted abstract should contain the authors’ names, affiliations, and email addresses. *Awards* For each of the two tracks, the Program Committee of GD 2026 will bestow a *Best Paper Award*. In addition, to recognize the effort of participants to present their work and to prepare their posters in a clear and elegant way, there will be a *Best Presentation Award *and a *Best Poster Award *voted on by the GD 2026 attendees. Finally, there will be awards for the best submissions in the *Graph Drawing Contest*, decided independently by the Contest Committee. *Remote Presentation* GD 2026 is an in-person meeting. Authors of accepted papers are expected to present their results at the conference. For people who for legitimate reasons cannot participate in person we offer the possibility for remote presentation. To this end, authors may indicate their preference for a remote presentation at the time of submitting their article. Such papers are evaluated and selected by the program committee by applying the same high standards as for the other papers. There is a limit of at most four remote presentations. In case of more requests, decisions may depend on the validity of the reasons mentioned. In all cases, an author of each remote presentation has to register for the conference. *Rules for Submission* Results that have been previously published (or are scheduled for publication) in another conference proceedings or journal, as well as simultaneous submissions of results to other conferences with published proceedings or journals are not permitted, except for poster submissions. With the exception of remote presentations, each paper or poster must be presented at the conference by an author, otherwise the paper can be excluded from publication in the proceedings.

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EXTENDED DEADLINE: TUTORIAL AND WORKSHOP PROPOSAL| DIAGRAMS 2026
by DIAGRAMS CONFERENCE 27 Mar '26

27 Mar '26

*** *Extended deadline: Tutorial and Workshop proposal for Diagrams 2026**** 15th International Conference on the Theory and Application of Diagrams August 24–28, 2026 Tallinn University of Technology, Tallinn, Estonia https://diagrams-conference.org/2026/ *** Highlights *** - Proceedings published by Springer - Graduate Symposium - Three Tracks: Main <https://diagrams-conference.org/2026/calls/main-track/>, Philosophy <https://diagrams-conference.org/2026/calls/philosophy-of-diagrams/>, and Psychology and Education <https://diagrams-conference.org/2026/calls/psychology-and-education/> - Best Paper and Best Student Paper awards ***************************************************************** The Diagrams conference provides a united forum for all researchers with an interest in the study of diagrams. The conference fosters multi-disciplinarity and allows researchers from areas such as computer science, mathematics, psychology, philosophy, history (of science, art, etc.), education research and more to meet and share their perspectives on the theory and application of diagrams. *We invite tutorials consisting of shorter presentations and activities that run for a maximum of 2 hours.* Tutorials are expected to address topics that are of interest to the Diagrams 2026 conference attendees. These include, but are not limited to, the issues of interest found on the Calls pages for the main tracks, philosophy track and psychology & education track. Examples of previous Tutorials include: • Visualizing “Information” • Learning to use the Openbox: A Framework for the Implementation of Heterogeneous Reasoning • Drawing Euler Diagrams for Information Visualization • Representational Systems Theory: What, Why and How? • Square of Opposition: Theory and Applications • Diagrams in the Age of Kant • Euclid’s Elements: The Board Game • Forgotten diagrams and their applications in gestures • Neural Circuit Diagrams: A Diagrammatic Introduction to Deep Learning Models • Cognitive Modelling of Interpretations of Diagrams and Notations *Submission date: April 15, 2026.* More details and important dates can be found at https://diagrams-conference.org/2026/calls-2/tutorials-2/ <https://diagrams-conference.org/2026/calls-2/tutorials-2/> ***************************************************************** *We also invite proposals for half-day or full-day workshops. * *These workshops will be held on the first (August 24, 2026) and the last (August 28, 2026) conference day.* They will occur at the main conference venue at Tallinn University of Technology in Estonia. Workshops are expected to address topics of interest to the Diagrams 2026 conference attendees. These include, but are not limited to, the issues of interest found on the Call pages for the main tracks, philosophy track and psychology & education track. Examples of previous Workshops include: - International Workshop on Set Visualisation and Reasoning - The International Workshop on Euler Diagrams - Technology-Enhanced Diagrams Research - Accessible Graphics: Graphics for Vision-Impaired People - Diagrams and Mathematical Practice - Peirce’s Philosophy of Notation - The Diagrammatic Turn in Quantum Physics *Submission date for workshop proposals: April 15, 2026.* More details and important dates can be found at https://diagrams-conference.org/2026/calls-2/workshops-2/ -- Publicity Chair, Diagrams Conference 2024 Reetu Bhattacharjee, PhD Department of Philosophy University of Münster

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Deadline is approaching: Workshop @AVI2026 / The Workshop on the Boat: Digital Tools for Connecting with Blue Spaces
by Fabio Pittarello 20 Mar '26

20 Mar '26

[image: lagoon.jpg] The Workshop on the Boat Digital Tools for Connecting with Blue Spaces A workshop held at AVI 2026 Conference in Venice https://wontheboat.altervista.org Important Dates Submission deadline: March 29th, 2026 Notification of acceptance: April 10th, 2026 Workshop: June 9, 2026 Submission form: https://forms.gle/VxTR1vDR8UcXAYS8A A full-day workshop held on a boat in the Venice Lagoon, exploring the connection with natural spaces, a theme of great interest not only for improving the awareness about the importance of natural spaces that surround us, but also for their demonstrated benefits for physical and mental health. Digital tools can play an important role in fostering connection with natural spaces by informing, stimulating, or facilitating immersive experiences. The journey will be an opportunity to discuss these issues and explore the related design space through activities inspired by the most naturalistic part of the Venice Lagoon. The field trip will be supported by a marine ecologist who will introduce you to the aquatic environment and its connections with humans and other living beings inhabiting the Lagoon, to inspire your work. The workshop is organized as a full-day activity, hosted on a hybrid boat that will depart from San Servolo (the AVI 2026 conference site https://www.unive.it/avi2026) in the morning and travel in the North Lagoon. The return to San Servolo is scheduled for the afternoon. Seats are limited! Organizers: Fabio Pittarello, Ca’ Foscari University of Venice Fabio Pranovi, Ca’ Foscari University of Venice Tommaso Pellegrini, Ca’ Foscari University of Venice https://wontheboat.altervista.org More info: https://wontheboat.altervista.org wontheboat-grpunive(a)unive.it ========================== 18th International Conference on Advanced Visual Interfaces 8th-12th June 2026, Venice http://unive.it/avi2026 ========================== Fabio Pittarello Università Ca' Foscari Venezia - DAIS Via Torino 155 30172 Mestre - Venezia Tel +39 041 2348435 <+39%20041%202348435> E-mail pitt(a)unive.it <pitt(a)dsi.unive.it> ==========================

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Recruiting Data Visualization Designers for Interview Study
by Hannah Katserdemwa Bako 18 Mar '26

18 Mar '26

Good day, Are you interested in contributing to cutting-edge research on understanding the practices of visualization creators? Then this email is for you! We are conducting a study (IRB-SBS 8062) on understanding the tradeoffs that occur during the design process and how designers navigate them. We are seeking participants for a 90-minute interview study (no more than 2 hours). During this session, you will be asked to answer a few questions about your design practices. Interviews will be held remotely on Zoom, and you will be interviewed only once. This is an opportunity to be an active contributor to current and future data science research. Participation is completely voluntary. Personal demographic data and answers to interview questions will be collected and shared after being anonymized. To participate in this study, you must meet the following criteria: 1) Be at least 18 years old 2) Be a U.S. Resident 3) Have at least 3 years of professional experience designing and/or creating visualizations If you are deemed eligible and are selected to participate in the interview study, you will be compensated with a $20 gift card upon completion of the interview study. If you are interested, please reply to this email and click this link to complete a survey: https://virginia.az1.qualtrics.com/jfe/form/SV_0px70VM8ycZhvZc <https://virginia.az1.qualtrics.com/jfe/form/SV_0px70VM8ycZhvZc> If you have any questions, please do not hesitate to contact our team at ets6dq(a)virginia.edu or azc2wj(a)virginia.edu Thank you for your time. Erin Siedlecki Hailey Chong Ava Lawless Research Undergraduate Students University of Virginia Principal Investigator: Hannah Bako, Ph.D. Assistant Professor University of Virginia

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Workshop on Data Vis/Phys Activities for Children at ACM IDC in June
by Uta Hinrichs 16 Mar '26

16 Mar '26

Apologies for cross-posting! We are organizing a workshop on *Data Vis Activities for Children* <https://vishub.net/idc-workshop-2026/> to take place at the ACM conference on Interaction Design and Children (IDC’26) <https://idc.acm.org/2026/> on June 22, 2026 in Brighton, UK. The aim of this hands-on workshop is to is to bring together researchers, educators, and practitioners from children interaction design, education, data visualization and physicalization, design and related fields to explore the design of physical, visual, and tangible activities for engaging children with data. As part of the workshop we will try out activities, and map out and discuss current practices and challenges when designing and running data-driven activities with children. We invite two types of submissions: * Activities (2-6 pages) that have been designed for children to promote data-driven play and data literacy through visual, physical, and tangible representations in the wider sense. * Reports (1-2 pages) that reflect on experiences with or perspectives on designing and running data-driven activities with children. Reports may be practice-oriented, speculative, and/or draw on existing theories in education and visualization, for example. The deadline for submissions is*April 7, 2026* Please see the workshop webpage for more information regarding the workshop theme and submission details: https://vishub.net/idc-workshop-2026/ Best wishes, Uta Hinrichs on behalf of the workshop organizers (Dushani Perera, Christina Stoiber, Andrés Ramríez-Duque, Jonathan Hancock, Ayça Atabey, Kim Sauvé Susan Lechelt, Andrew Manches, and Uta Hinrichs)

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Survey on the impact of GenAI on data visualization
by Gabriela Molina León 16 Mar '26

16 Mar '26

Dear all, Everyone is debating the use (or not) of GenAI, and the visualization community is no exception. My colleagues and I are conducting a survey to understand this moment, and we would appreciate to learn about everyone’s opinions, assessments, and experiences regarding GenAI. You can participate in the survey, anonymously, regardless of whether you use AI: https://survey.au.dk/LinkCollector?key=7FDF493VJP1N We look forward to hearing from all sectors (private, academic, NGOs, etc.), hoping to get an overview of the current landscape. Thank you! Meredith Chou, Vaishali Dhanoa, Niklas Elmqvist, and Gabriela Molina León Department of Computer Science | Aarhus University, Denmark [A close-up of a logo Description automatically generated]

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AIces 2026: regular registration March 27
by David Silva - IRDTA 14 Mar '26

14 Mar '26

****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto – Maia, Portugal March 30 – April 2, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice – IRDTA Luxembourg/London ****************************************************** Regular registration: March 27, 2026 ****************************************************** SCOPE: AIces 2026 will be the first in a series of research training events aiming at updating participants on the most recent multidisciplinary discussions about the foundations, meaning, challenges and risks of AI. The event will have a global scope along 3 thematic lines: cognition, ethics, and society. It will cover current debates about: AI and philosophy of mind; cognitive architectures; machine learning and cognitive development; large language models and visual information; robotics and embodied cognition; neuroscience-inspired AI; algorithmic bias and fairness; transparency and explainability; accountability and responsibility; privacy and surveillance; autonomy and control; AI impact on human values and social inequalities; the future of work and automation; governance, regulation and public policies; AI, human rights and democracy; AI and global development; information and AI education. The event will consist of 10 courses, 2 keynote lectures, 3 symposia collecting short contributions from participants, and 2 individual presentations on debated topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, AIces 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: AIces 2026 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Castêlo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. KEYNOTE SPEAKERS: David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI PROFESSORS AND COURSES: Ricardo Baeza-Yates (KTH Royal Institute of Technology & Pompeu Fabra University), [introductory] Introduction to Responsible AI Susan Brennan (Stony Brook University), [introductory/advanced] Where Are the Humans in Human-Centered AI? Thomas Breuel (Nvidia Research), [introductory] Facts and Rules in LLMs Carlos Castillo (Pompeu Fabra University), [introductory] Algorithmic Fairness in High-Risk AI Applications Alan Dix (Cardiff Metropolitan University), [introductory] AI for Social Justice Elia Formisano (Maastricht University), [introductory/intermediate] Auditory Cognition in Humans and Machines Marijn Janssen (Delft University of Technology), [introductory/advanced] Data and AI Governance - From Control to Trust Christian Lebiere (Carnegie Mellon University), [intermediate] Computational Cognitive Models of Human-AI Teaming Paul Smolensky (Johns Hopkins University), [intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks Savannah Thais (City University of New York), [intermediate/advanced] Measurement for Safer AI SYMPOSIA: A symposium will collect 10-minute voluntary presentations on any of the 3 thematic areas of the event: cognition, ethics, and society. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david(a)irdta.eu by February 28, 2026. Only registered participants can contribute to symposia. INDIVIDUAL PRESENTATIONS ON DEBATED TOPICS: 50-minute individual presentations will be scheduled for any of the 3 thematic areas of the school: cognition, ethics, and society. A 2-page expression of interest including the topic to be debated must be sent to david(a)irdta.eu by December 30, 2025. Only registered participants are eligible for individual presentations. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Osheen Jain (London, communications) José Paulo Marques dos Santos (Maia, local chair) Carlos Martín-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) José Luís Reis (Maia) Luís Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London

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[BioVis@ISMB 2026] Call for Abstracts – Talks & Posters | Deadline: April 9
by Astrid van den Brandt 10 Mar '26

10 Mar '26

(Apologies for cross-posting) BioVis 2026 Call for Abstracts -------------------------------------------------- Dear colleagues, We invite you to submit abstracts (for talks and/or posters) to BioVis@ISMB/ECCB 2026, a one-day symposium on biological data visualization. Date: July 16, 2026 | Washington, DC, USA BioVis brings together researchers from visualization, bioinformatics, and biology to share and advance the state of the art in visualizing complex biological data — from molecules to populations. More info: http://biovis.net/2026/ismb/ -------------------------------------------------- SUBMISSION TYPES -------------------------------------------------- ** TALKS (deadline: April 9, 2026 AoE) ** - Published work: 250-word abstract + copy of paper (or link if open access) - Unpublished work: Extended abstract up to 1,500 words with figures ** POSTERS & DEMOS (deadline: April 9, 2026 AoE) ** - 250-word abstract + one supporting figure - Present preliminary results, works in progress, visualization challenges, or previously published work - A selection of posters will be invited for a short talk - Late submissions accepted until May 7, 2026 -------------------------------------------------- KEY DATES -------------------------------------------------- Apr 9 – Talk & poster submission deadline May 5 – Acceptance notifications (talks & posters) May 7 – Late poster submission deadline May 14 – Late poster acceptance notifications Jul 16 – BioVis@ISMB 2026, Washington, DC, USA See full details here: https://www.iscb.org/ismb2026/key-dates -------------------------------------------------- TOPICS OF INTEREST -------------------------------------------------- We welcome contributions on all aspects of biological data visualization, including but not limited to: - Genomics, sequencing, and variation data - Multivariate omics (transcriptomics, proteomics, metabolomics) - Phylogenetics, networks, and biological ontologies - Macromolecular structures (protein, RNA, etc.) - Biological image data and microscopy - Integration of image and omics data - Neurobiology and developmental biology - Visualization + machine learning for biological analysis - Biological atlases and metadata - Usability and interdisciplinary collaboration -------------------------------------------------- HOW TO SUBMIT -------------------------------------------------- Submit via the ISMB abstract submission site. When submitting, select "BioVis" as your COSI/topic. Follow instructions for submission here: https://www.iscb.org/ismb2026/call-for-submissions/abstracts More details: http://biovis.net/2026/ismb/ -------------------------------------------------- GENERAL CHAIRS -------------------------------------------------- Zeynep Gumus, Icahn School of Medicine at Mount Sinai, USA Qianwen Wang, University of Minnesota, Twin Cities, USA -------------------------------------------------- We look forward to your contributions and to seeing you in DC in July! Best regards, The BioVis@ISMB 2026 Organizing Committee

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CfP - International Conference Information Visualisation (IV2026) - Symposium on Visual Analytics & Artificial Intelligence
by Nazemi, Kawa, Prof. Dr. 07 Mar '26

07 Mar '26

30th International Conference Information Visualisation 14 International Symposium Visual Analytics and Artificial Intelligence SOAS - University of London 28-31 July 2026 Visual Analytics is the science of analytical reasoning supported by interactive visual representations. The field is closely related to Artificial Intelligence (AI), as both aim to advance knowledge discovery and decision-making through computational models and algorithmic inference. A defining characteristic of Visual Analytics, however, is its emphasis on human-centered analysis: interactive visual interfaces enable the exploration of data, the interrogation and steering of models, and the iterative refinement of hypotheses and interpretations. By coupling AI with perception-driven visual reasoning and domain expertise, Visual Analytics can increase transparency, reveal latent structure, support error detection, and strengthen confidence in analytical conclusions. With the emergence of foundation models, and in particular Large Language Models (LLMs), new methods are becoming feasible that translate unstructured natural language, documents, and LLM-generated outputs into structured representations. These representations can be explored, validated, and corrected through interactive visualizations, enabling auditable and controllable AI-assisted analysis workflows. Visual Analytics draws on computer graphics, information visualization, human-computer interaction, artificial intelligence, knowledge discovery, cognition, and visual perception.The topics of interest include but are not limited to: * Combining visual and computational methods for data analysis and Artificial Intelligence * Visual Analytics models, pipelines, and interactive approaches * Human-in-the-loop AI and interactive model steering * Visual Analytics for spatial, temporal, and spatio-temporal data, including geo-visualization * Visualization support for multi-criteria decision analysis and decision intelligence * Knowledge construction, provenance, and sensemaking in Visual Analytics systems * Guidance, recommendation, and adaptive interaction in Visual Analytics * Integrative Visual Analytics and AI systems, including hybrid symbolic-neural approaches * Medical Visual Analytics, clinical decision support, and healthcare AI workflows * AI- or Visual Analytics-enabled survey systems and methodologies. * Explainable and interpretable AI, including uncertainty-aware visualization * Visual Analytics for model debugging, validation, monitoring, and drift detection * Visual Analytics for foundation models, including Transformers and Large Language Models (LLMs) * Interaction and control techniques beyond text prompting for steering and auditing LLM-based analytics workflows * Visualization and interaction for embeddings, attention mechanisms, token-level behavior, and generative outputs * Grounded LLM-based analytics, including retrieval-augmented generation (RAG), interactive citation, and evidence tracing * Methods to translate LLM outputs into structured representations for interactive visualizations, including mixed-initiative refinement and correction * Visual Analytics for multi-document synthesis with LLMs (e.g., topic structures, argument maps, timelines, and consensus vs. disagreement views) * Visual analytic solutions for big data challenges, including scalable and distributed approaches * Visual Trend Analytics * HCI and cognitive foundations for trustworthy, accessible, and usable Visual Analytics * Visualization of algorithmic behavior and AI inference processes * Empirical performance studies, benchmarks, and reproducibility for Visual Analytics and AI systems * Evaluation methods for Visual Analytics and AI-assisted analysis * Evaluation of Visual Analytics and AI-driven systems * Collaborative Visual Analytics and AI-supported collaboration workflows * Computational steering for long-running AI-driven optimization and analysis applications * Visual Analytics for biomedical data (e.g., EHR, imaging, omics), including clinical pathway analysis * Intelligent and usable survey technologies, including adaptive questionnaires, conversational surveys, and quality-aware survey analytics * Reviews and surveys of related literature in Visual Analytics and Artificial Intelligence Prof. Dr. Kawa Nazemi Full Professor Faculty of Computer Science Head of Human-Computer Interaction & Visual Analytics Deputy Director of the Research Center for Applied Computer Science Doctoral Center for Applied Computer Science Member of Hessian.AI kawa.nazemi(a)h-da.de<mailto:kawa.nazemi@h-da.de> T +49-6151-533-69393 | F +49-6151-533-69413 Hochschule Darmstadt | Darmstadt University of Applied Sciences Schöfferstr. 3 64295 Darmstadt, Germany [cid:image001.jpg@01DCAE28.8A2CF800] [cid:image002.png@01DCAE28.8A2CF800]<https://vis.h-da.de/> [cid:image003.png@01DCAE28.8A2CF800]<https://www.linkedin.com/in/kawa-nazemi-069b5438/> [cid:image004.png@01DCAE28.8A2CF800]<https://twitter.com/hda_vis> [cid:image005.png@01DCAE28.8A2CF800]<https://www.youtube.com/channel/UC5LxNRfmvlgoPsGQ8LNhduA> [cid:image006.png@01DCAE28.8A2CF800]<https://www.instagram.com/hda_vis/> [cid:image007.png@01DCAE28.8A2CF800]<https://www.facebook.com/hda.vis.group/>

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DeepLearn 2026: early registration March 29
by David Silva - IRDTA 07 Mar '26

07 Mar '26

****************************************************** 13th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2026 Orléans, France July 20-24, 2026 https://deeplearn.irdta.eu/2026/ ****************************************************** Co-organized by: University of Orléans Centre Val de Loire Doctoral College Institute for Research Development, Training and Advice – IRDTA Luxembourg/London ****************************************************** Early registration: March 29, 2026 ****************************************************** SCOPE: DeepLearn 2026 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Luleå, Bournemouth, Bari, and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 16 four-hour and a half courses, 2 keynote lectures, 1 round table, and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduates, postgraduates and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, hence people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2026 will take place in Orléans, located in the heart of the Loire Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue will be: University of Orléans Faculty of Law, Economics and Management 11 rue de Blois 45100 Orléans, France https://www.univ-orleans.fr/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their industrial developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yingbin Liang (Ohio State University), Convergence Theory: How Fast Do Discrete Diffusion Models Generate? Le Song (Mohamed bin Zayed University of Artificial Intelligence), Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology PROFESSORS AND COURSES: Nitesh Chawla (University of Notre Dame), [intermediate] Learning from Imbalanced Data Yuejie Chi (Yale University), [introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy Machine Learning from Data to Models Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models Mingyi Hong (University of Minnesota), [intermediate] Modern Optimization Algorithms for Large Language Models Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced] Optimizers for Large Language Model Training Furong Huang (University of Maryland), [advanced] Generative AI Agents Tara Javidi (University of California San Diego), [intermediate] Active Physical Intelligence for Industrial Scale Monitoring Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Suvrit Sra (Technical University of Munich), [introductory/intermediate] Introduction to the Theory of Learning with Transformers Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Long-Horizon Agentic Intelligence Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in Multimodal Understanding and Generation Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Large Language Models Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from Virtual to Physical World OPEN SESSION: An open session will collect 5-minute voluntary oral presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by July 12, 2026. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Abstracts have to be submitted to david(a)irdta.eu by July 12, 2026. HACKATHON: A hackathon will take place, where participants can voluntarily work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by the end of August 2026. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Karim Abed-Meraim (Orléans, local co-chair) Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Meryem Jabloun (Orléans, local co-chair) Carlos Martín-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) Florian Nowicki (Orléans, social networks) Philippe Ravier (Orléans, local chair) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Université d’Orléans Collège Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London

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