- Infovis - infovis.org

Call for Papers - GRIVAPP 2027
by Kostiantyn Kucher 12 Aug '26

12 Aug '26

--------------------------------------- CALL FOR PAPERS 22nd International Conference on Computer Graphics, Interaction, Visualization Theory and Applications (GRIVAPP 2027) February 26–28, 2027, Valletta, Malta https://grivapp.scitevents.org/ The International Conference on Computer Graphics, Interaction, Visualization Theory and Applications brings together researchers, engineers, and practitioners across the fields of Computer Graphics, Information Visualization, and Human-Computer Interaction. It serves as a central forum to explore advances in modeling, rendering, animation, information and scientific visualization, interactive environments, user interaction techniques, and human-centered design. The main conference areas include: 1. Modeling, Rendering, Animation and Simulation 2. Interactive Environments and Human-Computer Interaction 3. Information and Scientific Visualization Paper acceptance will be based on quality, relevance to the conference themes and originality. The conference program will include both oral and poster presentations. Special sessions, dedicated to case-studies or specific subtopics, as well as technical tutorials, dedicated to technical/scientific topics, are also welcome. ---------------------------------------- Regular Paper Submission (1st stage*): September 15, 2026 Position Paper / Regular Paper (2nd stage*) Submission: October 22, 2026 Proposals for Workshops and Special Sessions: October 2, 2026 Proposals for Tutorials, Demos, and Panels: October 2, 2026 Abstract Submission: December 3, 2026 All deadlines refer to AOE time, i.e. "Anywhere on Earth". *If authors wish to receive an earlier notification, they should submit at the first submission stage. ---------------------------------------- Authors can submit their work in the form of a complete paper or an abstract, but please note that accepted abstracts are presented but not published in the proceedings of the conference. Complete papers can be submitted as a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. Regular and position paper submissions must be anonymized for the double-blind review process, which will involve two or more expert reviewers. All submissions must be prepared in English and the use of artificial intelligence-generated text must be disclosed. All accepted complete papers will be published in the conference proceedings, under an ISBN reference, on digital support (e.g., see the proceedings from GRIVAPP 2026: https://doi.org/10.5220/0000216700004728) SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier). The proceedings will be submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index. Please see further information and detailed submission instructions at https://grivapp.scitevents.org/CallForPapers.aspx ---------------------------------------- Conference Chair - Stefan Jänicke, University of Southern Denmark, Denmark Program Chair - Thomas Bashford-Rogers, University of Warwick, United Kingdom Associate Chairs - Veronica Costa Orvalho, Didimo Inc. Universidade do Porto, Portugal - Daniel Gonçalves, INESC-ID, Instituto Superior Técnico, Portugal - Kostiantyn Kucher, Linköping University, Sweden In Cooperation with - Eurographics - European Association for Computer Graphics - VRVis GmbH - Vienna Research Center for Visual Computing - L’AFIG - French Association for Computer Graphics ---------------------------------------- For any questions regarding paper submission or participation, please contact GRIVAPP Secretariat at grivapp.secretariat(a)insticc.org ----------------------------------------

1 0

🎈Phd offer in vis to forward🎈
by Samuel Huron 11 Aug '26

11 Aug '26

Dear Colleagues and Friends, I hope you enjoyed your summer ! *Please can you forward this offer to your students ? * We are looking for a PhD student to join our team🌈 to explore how input visualization can improve collective, data-driven sensemaking with the general public. This research will focus on amplifying the voices of underrepresented groups in public decision-making by designing systems that foreground missing data and gaps in datasets. The project will involve external partners such as NGOs or Museums for research interventions and field studies. *Institution: *Télécom Paris, Polytechnic Institute of Paris, France *Start date: *Beginning of 2027 *Duration: *3 Years *Funding: *Fully funded *Application deadline: *14/09/2026 We are looking for a candidate with a background in in Human-Computer Interaction, Information Visualization, Interaction Design, or a related area. *The full call:* https://perso.telecom-paristech.fr/shuron/job2026/ *Apply via: *phd-hiring(a)telecom-paris.fr Best regards, Samuel

1 0

GeMAIHc 2027: early registration August 27
by David Silva - IRDTA 08 Aug '26

08 Aug '26

******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA – Institute for Research Development, Training and Advice ****************************************************** Early registration: August 27, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 3 scientific sessions, 1 symposium, and a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics PROFESSORS AND COURSES (list to be completed) Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future David Buckeridge (McGill University), [intermediate] Multi-Modal Data Analysis in Population and Public Health Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Tom Pollard (Massachusetts Institute of Technology), tba Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models HT RESEARCH PERSPECTIVES Human Technopole will organize 3 scientific sessions: Probabilistic Models for (Medical) Image Analysis, by Jan Funke, Florian Jug, Federico Carrara, and Benjamin Salmon AI Models for Computational Biology, by Andrea Sottoriva, Michele Calabrò, and Manuel Dileo AI in Health Data Science, by Francesca Ieva, Andrea Ganna, Michela Carlotta Massi, Nicole Fontana, and Alessia Mapelli SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david(a)irdta.eu by January 8, 2027. HACKATHON Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Martín-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA – Institute for Research Development, Training and Advice

1 0

IEEE VR 2027 - Call for Papers
by VR Publicity 06 Aug '26

06 Aug '26

Apologies for cross-posting. Dear Colleagues, We are pleased to announce the Call for Papers for the 2027 IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2027), which will take place in *Melbourne, Australia, from February 27 to March 3, 2027*. IEEE VR is a premier international venue for research in virtual reality, augmented reality, mixed reality, and 3D user interfaces. We invite original, high-quality research contributions covering methodological, technical, application, and system advances in these areas. IEEE VR 2027 will use a single submission deadline and a unified review process for both IEEE Transactions on Visualization and Computer Graphics (TVCG) papers and conference papers. Possible review outcomes are: · Acceptance as an IEEE TVCG paper, with presentation at IEEE VR 2027 · Acceptance as an IEEE VR 2027 conference paper, with presentation at the conference · Rejection Key Dates · Abstract submission (required): *August 24, 2026* · Paper submission: *August 31, 2026* · Initial notification: *November 30, 2026* · Revised submission: *December 31, 2026* · Final notification: *January 7, 2027* · Camera-ready submission: *January 12, 2027* All deadlines are at 23:59:59 Anywhere on Earth (AoE), UTC−12. Submission Guidelines · Papers must follow the IEEE Computer Society VGTC conference format. · Submissions must be anonymized for double-blind review. · Papers should contain 4–9 full pages of main content, excluding references. · References must not exceed two pages. · Appendices are included in the main page limit. · Supplementary materials must be submitted as a separate file. Each paper should include an appropriate evaluation of its contributions, such as a user study, benchmark, or comparison with existing systems, techniques, or methods. Failure to comply with the anonymization, formatting, or page-limit requirements may result in desk rejection. All senior authors holding a PhD or possessing equivalent expertise are expected to volunteer as reviewers, unless they are already serving IEEE VR 2027 in another capacity. Topics of interest include, but are not limited to: · 3D user interfaces and interaction techniques · Accessibility of immersive interfaces · Embodied agents, virtual humans, and avatars · Cybersickness, locomotion, and navigation · Human factors, perception, cognition, and ergonomics · Presence, body ownership, and agency · Haptic, audio, multimodal, and multisensory interfaces · Collaborative and multi-user immersive systems · Immersive analytics, visualization, applications, and games · Software architectures, toolkits, and engineering · Tracking, sensing, input devices, and display technologies · Ethical, diversity, inclusion, and responsible research issues Submissions involving human participants must comply with the authors’ institutional ethics requirements. Authors must report the relevant ethics approval or clearly explain why formal ethical review was not required. All accepted papers must be presented orally at the conference. In-person presentation is expected, with online presentation accommodated only in exceptional circumstances. Submission system: https://new.precisionconference.com/vr27a Call for Papers and submission information: https://ieeevr.org/2027/contribute/papers/ Inquiries: paper2027(a)ieeevr.org Best regards, Yi (Owen) Wang IEEE VR 2027 Publicity Chair On behalf of the IEEE VR 2027 Papers Chairs IEEE VR 2027 Papers Chairs Lonni Besançon, Linköping University, Sweden Gerd Bruder, University of Central Florida, United States Shohei Mori, University of Stuttgart, Germany Misha Sra, University of California, Santa Barbara, United States Xubo Yang, Shanghai Jiao Tong University, China

1 0

GeMAIHc 2027: early registration August 5
by David Silva - IRDTA 18 Jul '26

18 Jul '26

******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA – Institute for Research Development, Training and Advice ****************************************************** Early registration: August 5, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics PROFESSORS AND COURSES (list to be completed) Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Tom Pollard (Massachusetts Institute of Technology), tba Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david(a)irdta.eu by January 8, 2027. HANDS-ON ACTIVITIES Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Martín-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA – Institute for Research Development, Training and Advice

1 0

Reminder - CfP VINCI '26 | Submission Deadline: July, 15th
by Günter Wallner 07 Jul '26

07 Jul '26

========================================================================= CALL FOR PAPERS VINCI 2026 -- The 19th International Symposium on Visual Information Communication and Interaction Hangzhou, China | November 1-4, 2026 | https://vinci-symp.org/ Paper Submission Deadline: July 15, 2026 (AoE) -- all tracks ========================================================================= OVERVIEW VINCI 2026 solicits original, unpublished research papers on all aspects of visual information communication and interaction, whether via images, computer graphics, animations, virtual reality, the web, artistic projects, or other visual media. Papers may address cognitive and design aspects, underlying theories, taxonomies, implementation work, tool support, and case studies. All submissions will be strictly peer-reviewed by at least three members of the international program committee. TRACKS VINCI 2026 features five tracks: * Technical Paper Track: Research contributions on algorithms, techniques, systems, theories, evaluations, and applications -- spanning information visualization and visual analytics, graph and network visualization, HCI and multimodal interaction, visualization for AI/ML, explainable AI, visual metaphors and cognition, computational aesthetics, visual modeling/programming languages, and applications such as SoftVis, BioVis, and GeoVis. * Art Paper Track: Academic research at the intersection of visual information communication, art, and technology, such as generative AI and XR media, data storytelling, XAI visualization, bio-signal visualization, and the ethics and authorship of human-AI co-creation. * Art Gallery Track: Finished, concept-driven artworks that explore visual information communication through artistic expression, under the theme "Futures Unbound: Visualizing Tech, Culture, and Connection in an AI- and Robot-Driven World". * Media Gallery Track: Interactive tech demos, prototypes, and functional media tools (e.g., AR/VR, digital twins, AI co-creation tools) that advance accessible and ethical information sharing. * Cultural Computing Special Track (new this year): Visual and computational techniques for understanding, representing, and interacting with cultural phenomena, including cultural data analytics, heritage preservation, cultural storytelling, and immersive (AR/VR/MR) cultural engagement and learning. Accepted works in the Art and Media Gallery Tracks will be exhibited at Tianmuli, a popular art landmark in Hangzhou, for up to two weeks, remaining open to the public after the conference. SUBMISSION TYPES AND PAGE LIMITS * Full Papers: max. 8 pages (including references) * Short Papers: max. 4 pages + 1 extra page for references only * Posters: max. 2 pages (including references) * Gallery submissions (Artworks / Media Demos): up to 2 pages of description or artist's statement; works completed in or after 2021 All submissions must be written in English and formatted with the ACM Proceedings Template (sigconf, double-column style). The review process is anonymous -- please remove all identifying author information from your manuscript. Submission site (Microsoft CMT): https://cmt3.research.microsoft.com/VINCI2026/ IMPORTANT DATES (all deadlines 23:59 Anywhere on Earth, UTC-12) * Paper Submission (all tracks): July 15, 2026 * Notification of Acceptance: August 30, 2026 * Revised Version Due: September 15, 2026 * Final Notification: September 22, 2026 * Conference: November 1-4, 2026, Hangzhou, China PUBLICATION The peer-reviewed proceedings will be published by ACM as part of the ACM International Conference Proceeding Series (ICPS). A number of selected high-quality papers will be recommended for extended publication in special issues of partner journals, including Journal of Visualization (SCI) and Visual Informatics (JCR Q1). Note: Under ACM's open access publishing model for ICPS, authors from institutions not participating in the ACM Open program and not covered by a waiver may be subject to an article processing charge (APC). Details: https://www.acm.org/publications/icps/author-guidance MORE INFORMATION Website: https://vinci-symp.org/ Submission guidelines: https://vinci-symp.org/submissions.html Past proceedings: https://dl.acm.org/conference/vinci/proceedings We look forward to your contributions and to welcoming you in Hangzhou!

1 0

EduVis Workshop 2026 – Submission Deadline Extended to July 10th
by Keck Mandy 05 Jul '26

05 Jul '26

Dear colleagues, We have an update on the 4th IEEE VIS Workshop on Visualization Education, Literacy, and Activities (EduVis 2026): the submission deadline has been extended by one week. New deadline: Paper and Educator Report Submission – July 10, 2026, 11:59 pm (23:59) AoE Submissions are accepted through PCS. Submission details on: https://ieee-eduvis.github.io/ Best regards, Christina Stoiber, Fateme Rajabiyazdi, Mandy Keck, Magdalena Boucher, Jonathan Roberts, Lonni Besancon, Mathis Brossier, Yixuan Li

1 0

CFP - Special Issue: Bridging Graph Drawing and Dimensionality Reduction in Information Visualization
by Andreas Kerren 30 Jun '26

30 Jun '26

Apologies for cross-posting! ———————————————————————————————————————— Special Issue of Information Visualization Bridging Graph Drawing and Dimensionality Reduction in Information Visualization Submission Deadline: November 20, 2026 Journal Page: https://journals.sagepub.com/page/ivi/call_for_special_issue/bridging_graph ———————————————————————————————————————— Graph Drawing (GD) and Dimensionality Reduction (DR) are fundamental research areas in information visualization, both aiming to represent complex, high-dimensional, and relational data in interpretable low-dimensional spaces. Although these domains share common goals and methodological challenges, they have largely evolved in parallel, with limited exchange of techniques, evaluation methodologies, and theoretical foundations. This special issue aims to consolidate cutting-edge research emerging from the "GDxDR: Bridging Graph Drawing and Dimensionality Reduction Workshop" at EuroVis 2026, while inviting novel contributions that advance the theory, methods, and applications of integrated graph drawing and dimensionality reduction. To ensure diversity and quality, we welcome submissions from both workshop participants (with ≥30% new content) and external researchers, encouraging work on recent advances in graph drawing, dimensionality reduction, and their integration in information visualization. More specifically, graph- and embedding-based visual representations have become increasingly important for supporting exploration, explanation, and decision-making across a wide range of domains. Recent advances in visual analytics, machine learning, explainable artificial intelligence, and representation learning have created new opportunities to bridge GD and DR, while also raising important questions related to interpretability, scalability, trust, and evaluation. This special issue seeks to showcase the latest state-of-the-art research on the integration of GD and DR, emphasizing methodological innovation, empirical validation, and human-centered design. Topics of interest include, but are not limited to, the following: - Conceptual and methodological connections between graph drawing and dimensionality reduction - Evaluation methodologies, interpretability, and stability in layout and embedding techniques - Human-centered and perceptual aspects of GD and DR - Quality metrics, scalability, and reliability in visual representations - Hybrid or unified frameworks combining GD and DR principles - Visualization systems, tools, or applications demonstrating GD–DR integration - Learning-based, generative, and AI-assisted graph layouts and embeddings - Explainable and interpretable GD and DR methods - Trust, uncertainty, and bias in graph and projection-based visualizations *** Timeline *** All submitted manuscripts will go through the same rigorous peer-review process of the journal. The timeline of the special issue is as follows: - Submissions due: November 20, 2026 - Initial reviews due: January 31, 2027 - Revisions due: April 15, 2027 - Second round of review due (if needed): May 31, 2027 - Final acceptance: June 15, 2027 - Final versions due: July/August 2027 - Expected publication of the special issue: September/October 2027 Inquiries can be made to any of the guest editors. Please inform the guest editors of your intent to submit. For further author information and submission guidelines, please refer to https://journals.sagepub.com/author-instructions/IVI Final manuscript submissions should be made online through the journal submission system. *** Guest Editors *** Andreas Kerren Linköping University and Linnaeus University, Norrköping/Växjö, Sweden andreas.kerren(a)liu.se Claudio D. G. Linhares Linnaeus University, Växjö, Sweden claudio.linhares(a)lnu.se Fernando V. Paulovich Eindhoven University of Technology, Eindhoven, Netherlands f.paulovich(a)tue.nl Alessio Arleo Eindhoven University of Technology, Eindhoven, Netherlands a.arleo(a)tue.nl Rafael M. Martins Linnaeus University, Växjö, Sweden rafael.martins(a)lnu.se

1 0

GeMAIHc 2027: early registration July 14
by David Silva - IRDTA 27 Jun '26

27 Jun '26

******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA – Institute for Research Development, Training and Advice ****************************************************** Early registration: July 14, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics PROFESSORS AND COURSES (list to be completed) Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Faisal Mahmood (Harvard University), tba Tom Pollard (Massachusetts Institute of Technology), tba Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david(a)irdta.eu by January 8, 2027. HANDS-ON ACTIVITIES Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Martín-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA – Institute for Research Development, Training and Advice

1 0

Post-doc in Immersive Analytics - 18 month - Montpellier, France
by Arnaud Sallaberry 21 Jun '26

21 Jun '26

We are looking for a Postdoctoral Researcher to join ViStellar, an interdisciplinary project exploring how virtual reality can support the exploration of complex astrophysical datasets. This work is part of a collaboration between two laboratories of the university of Montpellier, France : the LIRMM (Laboratory of Computer Science, Robotics and Microelectronics of Montpellier) and the LUPM (Montpellier Universe and Particles Laboratory). We are looking for candidates with: - A PhD in Computer Science - Expertise in Immersive Analytics, Virtual Reality, Visualization, or related fields - Experience with VR development tools (e.g. Unity, C#) - Knowledge of statistical data analysis - Strong communication skills in English (French is a plus) - Curiosity, autonomy, initiative, and enthusiasm for interdisciplinary research If you are interested, apply : https://euraxess.ec.europa.eu/jobs/445938 Arnaud Sallaberry Professor University of Montpellier arnaud.sallaberry(a)lirmm.fr

1 0