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GeMAIHc 2027: early registration November 1st
by David Silva - IRDTA 24 Oct '26

24 Oct '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: November 1st, 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 17 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 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] Harmonizing Heterogeneous Radiology Datasets: A Hands-on Lab 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 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 Asoke Nandi (Brunel University of London), [introductory/advanced] Selected Case Studies of Medical Image Segmentation Tom Pollard (Massachusetts Institute of Technology), [introductory/intermediate] Data: The Foundation, Constraint, and Failure Mode of Deployable Health AI Hoifung Poon (Recursion), [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

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2nd CFP - Special Issue: Bridging Graph Drawing and Dimensionality Reduction in Information Visualization
by Andreas Kerren 22 Oct '26

22 Oct '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

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PraeDoc Job Opening at the University of Vienna
by Charlotte Zott 22 Oct '26

22 Oct '26

Dear All, At the University of Vienna, in Prof. Torsten Möller’s Visualization and Data Analysis research group, we are seeking a pre-doctoral researcher to join the “H4DES – Haptic 4D Printing for Enhanced Sensemaking” project, led by Dr. Daniel Pahr, effective immediately. More details can be found here: https://jobs.univie.ac.at/job/University-assistant-predoctoral-Project-H4DE… Please feel free to share this with anyone who might be interested—we look forward to receiving applications from the community and send our best regards from Vienna, Charlotte -- Charlotte Zott ----~--------~-->--~--->---~---~--->--~---> Organisational Assistant Visualization and Data Analysis University of Vienna +43 1 4277 79002

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EuroVis 2027 - Call for State-of-the-Art Reports (STARs)
by Alfie Abdul Rahman 20 Oct '26

20 Oct '26

Dear colleagues, Apologies for cross-posting. We invite submissions of high-quality State-of-the-Art Reports (STARs) to be presented at the EuroVis 2027 conference (https://eurovis.org/) and published in the Computer Graphics Forum journal. The EuroVis 2027 conference will take place in Stuttgart, Germany, from May 31 to June 4, 2027. For further details, please visit https://eurovis27.github.io/web/submissions/stars/. STAR submissions follow a two-stage review process. The deadline for abstract submission is November 30, 2026. Please note that sketches are not required this year. We look forward to receiving your submissions. If you have any questions, please contact us at stars(a)eurovis.org. Best wishes, Alfie, Enrico, and Filip (EuroVis 2027 STARs Chairs) -- Dr Alfie Abdul-Rahman Senior Lecturer in Computer Science Department of Informatics King’s College London - Strand Campus Bush House, 30 Aldwych, London WC2B 4BG Office: Bush House (S) 5.05 Email: alfie.abdulrahman(a)kcl.ac.uk<mailto:alfie.abdulrahman@kcl.ac.uk>

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Summer Internship in Cologne, Germany
by Prof. Tatiana von Landesberger 20 Oct '26

20 Oct '26

Dynaverse Summer Research Internship 2027 - Apply now! Are you an undergraduate student passionate about astrophysics, computational science, and exploring the Universe? Join the Dynaverse Summer Internship Programme for 2–3 months of hands-on research with our scientists in Germany! Dynaverse – Our Dynamic Universe is a Cluster of Excellence bringing together researchers from the Universities of Cologne and Bonn, Forschungszentrum Jülich, the Max Planck Institute for Radio Astronomy, the German Aerospace Center (DLR), and the Heidelberg Institute for Theoretical Studies. By combining astrophysics, computer science, and mathematics, Dynaverse aims to unravel how our Universe evolves across vastly different timescales, using cutting-edge observations, laboratory experiments, simulations, and artificial intelligence. As an intern, you will have the opportunity to contribute to exciting research projects, gain practical research experience, and work in an international, interdisciplinary scientific environment. Who can apply? International and German students who will have completed at least four semesters in physics, astrophysics, or a related field by the start of the internship. Previous research experience is not required. Application deadline: 15 November 2026 More information about the program can be found on the website: https://dynaverse.astro.uni-koeln.de/dynaverse-summer-undergraduate-researc… If you have any further questions do not hesitate to contact us! We are looking forward to seeing your application! Contact: Dr Magda Radermacher (Dynaverse Early Career Support Cooridnator) mbaerrad(a)ph1.uni-koeln.de -- Dr Magdalena Baer Radermacher Early Career Support Dynaverse Cluster of Excellence https://dynaverse.astro.uni-koeln.de/ University of Cologne I. Physics Institute Zülpicher Straße 77 50937 Cologne Office hours: Mo: 9:00 to 15:00, Wed-Fri: 9:00 to 14:00 Tel.: +49 (0)221 470-89872 e-mail: mbaerrad(a)ph1.uni-koeln.de -- Dynaverse-all mailing list Dynaverse-all(a)ph1.uni-koeln.de https://mail.ph1.uni-koeln.de/cgi-bin/mailman/listinfo/dynaverse-all

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HIMAS workshop second call for papers
by Marcel Worring 20 Oct '26

20 Oct '26

Workshop on Human-Centered Interactive Multimodal AI Systems (HIMAS) at ACM IUI 2027 We are welcoming you to join a full-day workshop on Human-Centered Interactive Multimodal AI Systems (HIMAS) at ACM IUI 2027<https://iui.acm.org/2027/> in February 2027. As AI models are increasingly able to handle multimodal data, effectively deploying these models in real-world settings requires building interactive systems that bridge the gap between multimodal AI and the users. The workshop aims to bring together researchers from multimedia analytics, human-computer interaction, information visualization, and multimodal AI, alongside domain experts, to identify shared challenges and shape a research agenda for the future of HIMAS. Specifically, we are interested in the following themes: * Integrating multimodal AI with interactive interfaces: Moving beyond text-only chat toward interfaces that combine speech, touch, sketches, gestures, and visualizations to communicate with and steer multimodal AI. * Designing HIMAS for effective human-AI collaboration: Supporting mixed-initiative interaction, shared context, and user agency - so people can inspect, verify, and correct how multimodal systems reason. * Adapting and generalizing HIMAS across domains: Understanding which design and evaluation approaches transfer across application areas — and which must be specialized to the domain. The workshop will be in the mini-conference format with paper presentations, panel discussion, interactive demos, and group discussion. We are soliciting the following: * Position papers: Describe a future vision for HIMAS and articulate open challenges the community should tackle. * Research papers: Provide initial understanding of HIMAS through empirical or conceptual work. * Demos: Show working prototypes of interactive multimodal AI systems in an interactive afternoon session. The submission deadline is November 9, 2026. More information about how to submit the paper and the organization is on our website: https://himas-workshop.com/ On behalf of all organizers, Marcel Worring

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[CFP] VisMeetsAI Workshop, Co-located with IEEE PacificVis 2027
by Junpeng Wang 18 Oct '26

18 Oct '26

Dear Colleagues, We invite submissions to the Visualization Meets AI Workshop, co-located with IEEE PacificVis 2027. We are pleased to announce that the workshop is once again partnering with the *Information Visualization* journal ( https://journals.sagepub.com/page/ivi/collections) with all accepted papers to be published in a special issue. ===WORKSHOP=== Visualization Meets AI Workshop, colocated with IEEE PacificVis 2027 https://vismeetsai.github.io/ Data visualization requires a thoughtful design process that heavily relies on both domain knowledge and familiarity with visualization techniques. Given the vast design space and inherent complexity, even experts often invest substantial effort to create effective visualizations for exploration or communication. With the rapid advancement of artificial intelligence (AI)—particularly the rise of powerful foundation models such as large language models (LLMs), vision-language models (VLMs), and multimodal AI systems—the field of visualization is undergoing a significant transformation. These cutting-edge models present new opportunities to automate and augment the visualization process. Concurrently, visualization plays an increasingly vital role in the development and deployment of advanced AI models. As these models grow in complexity and scale, the need for effective visual interfaces and techniques becomes more pressing—to interpret model behavior, debug outputs, and foster transparency, accountability, and human-AI collaboration. This workshop aims to explore this dynamic and rapidly evolving area by fostering communication between the visualization and AI communities. Attendees will engage with the latest research at the intersection of AI-enhanced visualization (AI4VIS) and visualization-enhanced AI (VIS4AI), with a particular focus on how cutting-edge models—such as LLMs, VLMs, and beyond—are reshaping the landscape. ===CALL FOR PAPERS=== We welcome submissions in the form of full papers. All accepted papers will be published in a special issue of the* Information Visualization* journal. Please check the detailed submission instructions in our website: https://vismeetsai.github.io/ ===IMPORTANT DATES=== - Paper due: *December 18, 2026* - 1st cycle notification: February 1, 2027 - Revision due: February 15, 2027 - 2nd cycle notification: February 22, 2027 - Editable source files due: March 1, 2027 - Final notification from the journal’s EIC: March 8, 2027 - Workshop: April 19, 2027 All deadlines are due at 11:59pm Anywhere on Earth (AoE). Thanks, Takanori Fujiwara and Junpeng Wang Visualization Meets AI Workshop Co-Chairs

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AICES 2027: early registration October 27
by David Silva - IRDTA 17 Oct '26

17 Oct '26

******************************************************** 2nd INTERNATIONAL SCHOOL ON HUMAN-AI COLLABORATION IN THE ERA OF AGENTIC AI AICES 2027 Bilbao, Spain May 3-6, 2027 https://aices.irdta.eu/2027/ ******************************************************** Co-organized by: University of Deusto IRDTA – Institute for Research Development, Training and Advice ******************************************************** Early registration: October 27, 2026 ******************************************************** SCOPE The rapid emergence of agentic AI systems capable of planning, reasoning, making decisions and acting with increasing autonomy is transforming the relationship between humans and intelligent machines. Understanding how humans and AI agents can collaborate effectively, safely and responsibly has therefore become a major scientific, technological and societal challenge. AICES 2027 will address this challenge from a broad interdisciplinary perspective, bringing together leading researchers and experts from academia and industry. The scientific program will examine the societal, cognitive, ethical, economic and governance dimensions of agentic AI, with particular emphasis on human–AI collaboration, trust, human oversight and control, the future of work, regulation and governance, explainability, responsible AI, education, democracy, media ecosystems, economic transformation, and the wider implications of increasingly autonomous AI systems. The school will feature 13 monographic three-hour courses, 2 keynote lectures, 1 round table and 1 symposium. Leading academics and industry experts will share their knowledge, research and perspectives with participants. Interaction, discussion and networking will be central elements of the event, while full live online participation will also be available. ADDRESSED TO AICES 2027 is intended for graduate students, researchers, academics, industry professionals and policymakers from a wide range of disciplines, including computer science, cognitive science, economics, sociology, philosophy, law, public policy and business. There are no formal academic prerequisites, and researchers and professionals at all career stages are welcome. The school will provide participants with an opportunity to gain in-depth knowledge of one of the most rapidly evolving areas of AI, interact with experts from different disciplines, establish new collaborations, expand their professional networks, and explore the profound changes that agentic AI may bring to work, institutions and society. VENUE AICES 2027 will take place in Bilbao, in northern Spain. Once a major industrial centre, Bilbao has undergone a remarkable urban, cultural and economic transformation over recent decades and is today one of Spain's most dynamic cities. The venue will be: University of Deusto Avenida de las Universidades, 24 48007 Bilbao https://www.deusto.es/ STRUCTURE Two/three courses will run in parallel throughout the event. Participants will be free to select the sessions they wish to attend and may move between courses at any time. In addition to the courses and keynote lectures, the program will include a round table and a symposium devoted to current research and industrial developments. 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, participants are strongly encouraged to attend in person whenever possible, as direct interaction, discussion and networking are essential components of research training events of this kind. KEYNOTE SPEAKERS Eszter Hargittai (University of Zurich), Myths vs. Measures: Digital Inequality and AI Skills Katia Sycara (Carnegie Mellon University), Human-AI: Collaboration rather than Substitution PROFESSORS AND COURSES Ana Bazzan (University of São Paulo), [introductory/intermediate] Autonomous Agents, Multiagent Systems, Swarm Intelligence and Reinforcement Learning: What Are These and Why They Matter in the Current AI Agenda Justine Cassell (Inria Paris), [introductory/intermediate] Building Agents that Collaborate with People rather than Replacing Them Pierre Dillenbourg (Swiss Federal Institute of Technology Lausanne), [introductory] Productive Noise: The Benefits of Misunderstandings in Collaboration Steven Drucker (Particle Prismatics LLC), [introductory/intermediate] Attention Is All You Have: Human-Centered AI in the Agentic Era Peter Flach (University of Bristol), [introductory/intermediate] Classifier Calibration: A Prerequisite for Trustworthy AI James Hollan (University of California San Diego), [intermediate] The Future of HCI: Generative AI, Negotiated Agency, and Co-Adaptive Systems Andreas Holzinger (University of Natural Resources and Life Sciences), [introductory/intermediate] Trustworthy Agentic AI: Human-AI Collaboration, Explainability, and Verifiable Autonomy Jason Hong (Carnegie Mellon University), [introductory/intermediate] Challenges in Human-AI Interaction Christian Lebiere (Carnegie Mellon University), [intermediate] Metacognition and Theory of Mind in Humans and Machines Sijia Liu (Michigan State University), [introductory/advanced] Safety Alignment for AI Agents: From Centralized to Distributed Solutions Simon Parsons (University of Lincoln), [introductory] Agents and Agentic AI Simone Stumpf (University of Glasgow), [introductory/intermediate] Explainable AI (XAI) and Debugging in the Era of Agentic AI Lyle Ungar (University of Pennsylvania), [introductory] From Tools to Teammates: How AI Changes Human Work and Relationships SYMPOSIUM A symposium will give participants, research groups and companies the opportunity to present ongoing research projects, innovative ideas and industrial developments related to the themes of AICES 2027. Presentations will consist of 15-minute oral contributions. Participants interested in presenting should submit a one-page abstract including the title, authors, and a brief summary to david(a)irdta.eu. Submission deadline: April 19, 2027. ORGANIZING COMMITTEE Pablo García Bringas (Bilbao, Local Chair) Carlos Martín-Vide (Tarragona, Program Chair) Santiago Montes (Tarragona, Webpage) Sara Morales (Luxembourg, Finances) David Silva (London, Organization Chair) REGISTRATION Registration is available at: https://aices.irdta.eu/2027/registration/ During registration, participants will be invited to indicate six courses they are particularly interested in attending. This selection is tentative and non-binding and will be used only to estimate demand and facilitate logistical planning. As the capacity of the venue is limited, registrations will be accepted on a first-come, first-served basis. Registration will close once maximum capacity has been reached. Early registration is therefore strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early-registration deadlines are available, with fees depending on the date of payment. Fees are the same for on-site and for online participation. ACCOMMODATION Accommodation suggestions will be made available in due time at: https://aices.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate documenting 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS or equivalent academic recognition from their home institutions. SPONSORS Companies, institutions and organizations interested in supporting AICES 2027 are invited to consult the sponsorship opportunities available for the event. The sponsorship leaflet can be downloaded from: https://aices.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david(a)irdta.eu ACKNOWLEDGMENTS University of Deusto IRDTA – Institute for Research Development, Training and Advice

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EuroVis 2027: Call for workshops (deadline in 3 days)
by Chatzimparmpas, A. (Angelos) 09 Oct '26

09 Oct '26

EuroVis 2027: Call for workshops We solicit workshops related to all areas of visualization. These informal workshops in EuroVis provide a setting for participants to discuss advanced topics in visualization, involve experts and practitioners in the field, disseminate work in progress, and promote new ideas. Workshops at EuroVis are open to all registered attendees (“invitation only” workshops will not be approved). Important Dates * Proposal Submission Monday, October 12, 2026 * Notification Monday, October 26, 2026 * All deadlines are at 11:59 pm (23:59) Anywhere on Earth (AoE)<https://time.is/Anywhere_on_Earth>. Workshops should: * Emphasize emerging ideas, concepts, or technologies that are currently too nascent or too interdisciplinary for a full symposium. * Encourage active participation from the audience and create opportunities not only for the presenters but for all attendees to contribute to the outcomes of the workshop, for example, through collective or small group discussions. * Be open to and experiment with non-traditional submission types (e.g., demonstrations; artwork; pedagogical material; high-quality, standalone talks; etc.). Possible topics may include emerging or persisting problems, developing research agendas, networking to find common interests and possibilities for cooperation, interacting with domain experts involving analysis of their domain problems, bringing together new disciplines, etc. When choosing workshop topics to propose, please consider pre-approved workshops, EGPGV and EuroVA, and try to avoid large overlaps. Note that workshops remain extremely well attended, but as new associated events and publication formats are introduced to EuroVis, the number of submitted papers may drop from previous years. So, a more interactive format (rather than one based mainly on presentations of submitted papers) is encouraged. Submission requirements Workshop proposals should include: * a title, * a brief description of the workshop (max. 150 words), * the contact details of the organizers, * a brief description of the organizers’ background, related publications, and research, * the planned activities (e.g., mainly talks, mainly interactive sessions, a mix), including an outline schedule for the program—workshops are strongly encouraged, though not required, to consider ways to engage all participants interactively, * the intended result and impact of the workshop, * a brief justification for why this workshop is necessary (e.g., why would the topic benefit from a more informal setting, in what ways is the topic emergent or a relatively poor fit for the main conference program, etc.), * a chosen measure for a successful CFP (e.g., number of submissions), possibly including an outline for a “backup policy” (e.g., changing the workshop format or voluntarily withdrawing the workshop before acceptance notification is sent, but should not require the workshop organizers to submit emergency papers to their own workshop), * a statement of the organization and the development of the list of participants (intended size, detailed selection procedures, and timeline for finalizing workshop presenters), * a list of any special technology needed, * the number of poster slots requested, if the workshop intends to feature posters, and * the proposed dates for the call for participation, author notification, and camera-ready deadlines (author notification must be before the early registration deadline for EuroVis; for inclusion of materials in the EG digital library and/or the downloadable proceedings, the camera-ready deadline must be 4 weeks prior to the conference). Because the number of workshop time slots is limited, half-day workshop proposals are strongly encouraged. However, well-justified full-day proposals will also be considered. Full-day proposals may optionally state what changes would be implemented to allow the workshop schedule to fit within a half-day. If the proposed workshop is a follow-up of a previous workshop, please include a critical reflection of the prior workshop(s), including a discussion of the results and evidence of impact. The proposal should not exceed four pages, including references, figures, tables, and appendices. Please use the template file from https://eurovis27.github.io/web/assets/egPublStyle-EuroVis_2027.zip All contributions must be submitted using the Precision Conference Submission System: https://new.precisionconference.com<https://new.precisionconference.com/>. Please select “Society” → “Eurographics”, “Conference/Journal” → “EuroVis 2027”, and then “EuroVis 2027 Workshops”. Attendance At least one author for each paper must register and attend the conference in person. Evaluation criteria The workshops aim to include various topics and a healthy mix of new and recurring events. Repeat submissions will be partially judged by the previous workshop's success. Workshop success will be judged subjectively, but popularity, research impact, visibility, and attendee feedback will all be considered. Specifically, the workshop proposals will be evaluated according to the following criteria: * The potential for inspiring people, being influential, and opening new lines of research; * The degree to which the workshop provides a more interactive environment for participants—all things being equal, preference will be given to workshops that emphasize participant interaction; * The coherence of the proposed topic and the degree to which it would benefit from a workshop environment; * The ability to attract people and make them excited about the workshop; * The appropriateness with respect to EuroVis topics; * If this workshop has special needs, the feasibility of the proposed plan, including financial, logistics, scheduling, and coordination impact, is also important. The workshop chairs will balance the proposed topics to support the diversity of topics within EuroVis and complement the main program. Organizers should consider what steps they will take to encourage diverse participants in their workshop (e.g., a balance of experience, background, gender, etc.) to make participation as inclusive as possible. If accepted, workshops are required to prepare a short summary (50–100 words) for the workshop website and the web program. Workshop Support The workshop organizers will receive the following support from the EuroVis conference: * One complimentary 1-day registration per workshop for an organizer or invited speaker; * Room and AV support suitable for around 40 attendees; * Food and beverages for attendees: coffee breaks throughout the day, Sunday evening opening reception, space in the poster display area, if requested (from a limited pool set aside for standard workshops; available space depends on the specifics of the venue; early requests given priority over late requests); * PCS (Precision Conference Solutions) support for managing submissions and the review process; and * EuroGraphics Digital Library publication of the workshop proceedings, if requested (considered archival). Note that each workshop participant will need to register to attend the EuroVis conference. Workshop Chairs * Angelos Chatzimparmpas, Utrecht University * Cagatay Turkay, University of Warwick * Tanja Blascheck, University of Stuttgart

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Invitation to a Study on AI-Assisted Literature Review Tools
by Nam Wook Kim 08 Oct '26

08 Oct '26

Hello everyone, We are a research team at Boston College studying how to design AI-assisted literature review tools for HCI researchers. We invite you to complete a 10-minute survey about your experiences finding, understanding, and synthesizing prior research—for example, when writing a paper's Related Work section. We welcome all perspectives, whether you use AI frequently or not at all. Survey link: https://bostoncollege.co1.qualtrics.com/jfe/form/SV_9tPRMxp19xRQMPY Selected survey respondents will be invited to a one-hour online design session. Participants who complete the session will receive $25. Thank you for considering our invitation. Kind Regards, Nam Wook Kim (he/him/his) Associate Professor of Computer Science Boston College 🌐 dwr.bc.edu 📞 +1 (617) 552-8003

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