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GeMAIHc 2027: early registration June 22
by David Silva - IRDTA 06 Jun '26

06 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: June 22, 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), tba 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), tba 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

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DIVERSE-CDT : Academic Appointment - Data Vis Research Scientist 📊♥️
by Dykes, Jason 05 Jun '26

05 Jun '26

Exciting News! A Unique Academic Career Opportunity! DIVERSE-CDT<https://diverse-cdt.ac.uk/> is looking to recruit a Data Visualization Research Scientist at City St. George's, University of London. This role will enable a Post-Doctoral visualization researcher to work with our PhD students to interpret, plan, develop, undertake and publish research. It’s a new kind of academic role that will develop with our new kind of PhD - and a fabulous opportunity to work on diverse projects, with diverse partners using and developing diverse visualization methods. And of course to acquire and refine skills, interests and collaboration networks and to publish. The DIVERSE-CDT team will provide plenty of mentoring, support and perspectives! We think of the role as : * part data vis lab technician - provides technical support and guidance, problem solves and develops a positive and supportive lab environment; * part assistant professor for PhD education - with a focus on one-to-one and small group interactions; * part mentor for PhDs - works with out PhDs to develop and deliver research; It's absolutely core to our Doctoral Training Centre. Here are the details - do check the documents : Advert<https://jobs.citystgeorges.ac.uk/en/sites/CX_1001#en/sites/CX_1001/job/1001…> - the official stuff (closes 28 June, 'permanent' contract) Detail<https://jsndyks.github.io/diverse-cdt/researchScientist/> - some notes on our vision for the role from DIVERSE-CDT Job Pack<https://cityuni.sharepoint.com/:b:/s/cs_recruitdirectory/IQCTFZo_SsA5SbinjY…> - application details We are excited, and we hope that we can excite strong applicants with great ideas. So please ... * let people know about this opportunity; * get in touch to discuss details - it’s a new kind of role that we want to shape with candidates; Find Jo, Cagatay, Jason and/or any of the DIVERSE-CDT folks<https://diverse-cdt.ac.uk/leadership/> at EuroVIS to chat, and meet our fabulous doctoral researchers<https://diverse-cdt.ac.uk/doctoral-researchers/> in Nottingham too. Or ping us for a video call. Change what we can see. See what we can change. Jason & Co. DIVERSE-CDT City St George's, University of London University of Warwick.

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CFP: Human-Guided, Interactive AI-driven Decision Intelligence — HICSS-60 (Jan 5–8, 2027, Hawaii) | Submission Deadline: June 15
by Yun Jang 01 Jun '26

01 Jun '26

Dear Colleagues, We cordially invite you to submit papers to the minitrack on: Human-Guided, Interactive AI-driven Decision Intelligence https://hicss .hawaii.edu/tracks-and-minitracks/decision-analytics-and-service-science/ 60th Hawaii International Conference on System Sciences (HICSS-60) January 5–8, 2027 | Hilton Waikoloa Village, Big Island, Hawaii ----------------------------------------------------------------------- IMPORTANT DATES Jun 15, 2026 Paper submission deadline (11:59 PM HST) Aug 17, 2026 Notification of acceptance/rejection Sep 4, 2026 Revised manuscript deadline (conditionally accepted papers) Sep 10, 2026 Final decision (conditionally accepted papers) Sep 22, 2026 Final manuscript deadline Oct 1, 2026 Author registration deadline Jan 5–8, 2027 Conference (Hilton Waikoloa Village, Big Island, Hawaii) To meet the deadline, submissions must be made by 11:59pm HST. ----------------------------------------------------------------------- ABOUT THE MINITRACK AI is transforming how we live, learn, and innovate at an exponential pace. Effective decision-making in today's interconnected world increasingly demands that humans team with complex AI and real-time data analytics — a human–computer AI teaming that is essential for trustworthy and usable intelligent collaboration. This minitrack focuses on human decision making through interactive AI, human–computer teaming, visual analytics, visual interaction with AI (including ML and LLMs), and statistical and machine learning processes. We welcome contributions spanning laboratory studies, cognitive studies, communication theory, risk analysis, decision science, mis/disinformation, policy science, and field experiments. Topics of interest include, but are not limited to: - Multi-perspective knowledge integration and synthesis in organizations - Interactive visualization and visual analytics for digital economies and "wicked" problems - Visual analytics for large-scale, real-time, and heterogeneous data - Collaborative and mixed-initiative visual analysis across organizations - Interactive, risk-based, and AI-guided decision making - Interactive machine learning and human–AI teaming methods - Performance, scalability, and response-time management for complex analytics - Deployment experiences, evaluation, and case studies of visual analytics systems - Visualization and analytics for policy making, trustworthy AI, and mis/disinformation - Cognitive, social, and theoretical foundations of visual decision environments - User interfaces for Agentic AI with human oversight - User interfaces to trace, debug, and configure Agentic AI fleets We particularly encourage submissions combining computational and interactive analytics in mixed-initiative or Interactive Machine Learning systems, case studies in science & technology, public health, business intelligence, financial analysis, social sciences, communications, and public policy, position papers on new research directions and critical challenges, and work on large language models, Agentic AI, and human–AI collaboration that supports understandable, trustworthy decision making. For HICSS-60, we are introducing an innovative session format: each accepted author will be invited to lead an interactive discussion on another presenter's paper, fostering a more dynamic and engaging exchange. Summaries will be distributed post-conference as a blog, whitepaper, or comment paper. ----------------------------------------------------------------------- SUBMISSION GUIDELINES - Papers must be original and not previously published or under review elsewhere - Maximum 10 pages (including references) - Double-blind peer review (remove author names from initial submission) - Each author may appear on at most 5 submissions - In-person presentation is required; online presentation is not permitted - Submit via: https://hicss-submissions.org/ - Templates and format specifications: https://hicss.hawaii.edu/authors/ ----------------------------------------------------------------------- ABOUT HICSS HICSS is one of the longest-standing and most prestigious conferences in information systems and computer science, now in its 60th year. HICSS-60 will be held at the Hilton Waikoloa Village on the Big Island of Hawaii, approximately 20–30 minutes from Kona International Airport (KOA). All accepted papers are published open-access via the ScholarSpace digital library. ----------------------------------------------------------------------- MINITRACK CO-CHAIRS David Ebert | University of Arizona Kelly Gaither | Texas Advanced Computing Center, UT Austin Yun Jang | Sejong University, Seoul, Korea Wolfgang Jentner | University of Arizona For questions regarding scope or paper fit, please contact the minitrack co-chairs directly. For general conference inquiries: hicss(a)hawaii.edu Conference website: https://hicss.hawaii.edu/ We look forward to your contributions and to seeing you in Hawaii! David Ebert, Kelly Gaither, Yun Jang, and Wolfgang Jentner Minitrack Co-Chairs, Human-Guided Interactive AI-driven Decision Intelligence HICSS-60

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PhD in Visual Analytics for Historical Paintings - TU Eindhoven & van Gogh Museum
by Vilanova Bartroli, Anna 28 May '26

28 May '26

The Visualization Cluster at Eindhoven University of Technology - Department of Mathematics and Computer Science and the van Gogh Museum are seeking a motivated PhD candidate to develop innovative visual analytics methods for the study of historical paintings in an interdisciplinary research environment. You will contribute to the development of state‑of‑the‑art methods that advance the analysis of complex, multi‑dimensional imaging data and enable richer exploration of historical paintings. If you are interested apply: https://www.tue.nl/werken-bij-tue/vacatureoverzicht/phd-in-visual-analytics… Anna Vilanova Professor Visual Analytics Department of Mathematics and Computer Science [cid:f611a8bc-93d3-4398-aa70-fde7de69f65a] T +31 (0)40 247 8333 a.vilanova(a)tue.nl<mailto:a.vilanova@tue.nl> De Zaale, Metaforum MF 6.077 PO Box 513, 5600 MB Eindhoven

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[CfP] SUMAC'26 @ACMMM'26: the 8th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents
by Valerie Gouet 26 May '26

26 May '26

[Apologies if you receive multiple copies of this CfP] Call for Papers SUMAC 2026 8th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents Advances in machine learning, signal processing, multimodal techniques and human-machine interaction November 10, 2026 Rio de Janeiro, Brazil In conjunction with ACM Multimedia 2026 SUMAC: https://sumac-workshops.github.io/2026/ Main conference: https://2026.acmmm.org/ Aims and scope The ambition of SUMAC is to bring together researchers and practitioners from different disciplines to share ideas and methods on current trends in the analysis, understanding and promotion of heritage contents. These challenges are reflected in the corresponding sub- fields of machine learning, signal processing, multi-modal techniques, and human-machine interaction. We welcome research contributions for the following (but not limited to) topics: * Information retrieval for multimedia heritage * Automated archaeology and heritage data processing * NLP and knowledge graphs * Multi-modal deep learning, generative modeling * Time series analysis for heritage data * Heritage visualization, virtualization and narratives * Smart digitization and reconstruction of heritage data * Open heritage data and benchmarking The scope of targeted applications is extensive and includes: * Analysis, archaeometry of artifacts * Diagnosis and monitoring for restoration and preventive conservation * Geosciences / Geomatics for cultural heritage * Inclusive education * Smart and sustainable tourism * Urban planning * Digital Twins Important dates (AoE) * Paper submission: July 16, 2026 * Author acceptance notification: August 6, 2026 * Camera-Ready: August 20, 2026 * Workshop date: November 10, 2026 Keynote speakers * Alasdair Newson (associate professor at the Institut des Systèmes Intelligents et de Robotique of Sorbonne Université, Paris, France). Talk on Deep generative networks for image and video editing and restoration. * Luiz Velho (senior researcher at the Institute for Pure and Applied Mathematics, head of the VISGRAF Laboratory, Rio de Janeiro, Brazil). Talk on Cultural Heritage Media Projects of the Ancient Egypt. Special Highlights Best Paper Award. Following tradition, SUMAC 2026 will also be awarding a best paper award, accompanied with a certificate and a trophy. Submission guidelines Submission format. All submissions must be original work not under review at any other workshop, conference, or journal. The workshop will accept papers describing completed work (full paper) as well as work in progress (short paper). Two submission formats are accepted: a) 4 pages plus 2-page reference (short paper); or b) 8 pages plus up to 2-page reference (full paper). They must be encoded as PDF using the ACM Article Template of the main conference ACM Multimedia 2026, see https://2026.acmmm.org/site/author-instructions.html. Peer Review and publication in ACM Digital Library. Paper submissions must conform with the “double-blind” review policy. All papers will be peer-reviewed by experts in the field, they will receive at least two reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. Depending on the number, maturity and topics of the accepted submissions, the work will be presented via oral or poster sessions. The workshop papers will be published as Open Access articles. Organizers Valerie Gouet-Brunet (LaSTIG Lab, IGN Geodata Paris, Gustave Eiffel University, France) Edgar Roman-Rangel (ITAM, Mexico) Li Weng (Zhejiang Financial College, China) Looking forward to hearing from you at SUMAC! The workshop organizers -- Valerie Gouet-Brunet Senior researcher / DR1 Ministère de la Transition Ecologique LASTIG Lab. / Univ. Gustave Eiffel, Geodata Paris, IGN (French mapping agency) https://www.umr-lastig.fr/vgouet/

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SciFi-Vis @ IEEE Vis 2026
by Johanna Schmidt 25 May '26

25 May '26

Live long and prosper, dear vis researchers and everyone into SciFi! 🖖 I'm thrilled to beam down a little opportunity your way: 🚀 SciFi-VIS 2026 — Call for Participation Way Out There: How SciFi and Visualization Influence Each Other — a half-day hybrid workshop at IEEE VIS 2026 exploring the two-way relationship between science fiction and data visualization: how speculative ideas inspire research, and how visualization shapes our imagined futures. Expect a keynote, lightning talks, and cross-disciplinary discussions. Submit a short/position paper (~1000 words) or a more flexible format like a poster, demo, or SciFi scene analysis. Work-in-progress ideas are welcome, and the workshop is non-archival. 🗓️ Submit: July 30, 2026 (AoE) ✅ Notification: Sept 15, 2026 📄 Camera-ready: Sept 21, 2026 Find out more here: 🔗 https://scifi-vis.github.io/ Looking forward to your submissions, the SciFi-VIS Organization Team

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DeepLearn 2026: early registration June 19
by David Silva - IRDTA 23 May '26

23 May '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: June 19, 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 15 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: 2 or 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] Synthetic Data Generation and Learning from Imbalanced Data: From SMOTE to LLMs Jianfei Chen (Tsinghua University), [intermediate] Efficient Large Model Training and Inference 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] Bilevel Optimization: Theory, Algorithms, and Applications in Machine Learning and Foundation 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: Integrated Multimodal Sensing, Controlled Inference, and Spatio-Temporal Attention Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Token-Based 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] Trustworthy Agentic Artificial Intelligence Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Large Language Models 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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CALL for PARTICIPATION: DIAGRAMS 2026
by DIAGRAMS CONFERENCE 20 May '26

20 May '26

The 15th International Conference on the Theory and Application of Diagrams takes place on 25-28 August 2026 at Tallinn University of Technology, Estonia. Registration to the conference is now open. To register, please visit: https://diagrams-conference.org/2026/registration/ Registration to the conferences gives access to all talks, including three keynotes (by Jessica Carter, Peter Cheng and Fabio Zanasi). Registration also gives access to the tutorials and the graduate Symposium. All participants will furthermore receive a free copy of the Diagrams conference proceedings (published by Springer). For more information, please visit the conference website: https://diagrams-conference.org/2026/ Registration is open for everyone. We hope you will join us at the conference! Best wishes, The Diagrams 2026 organizing team

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Expressions of Interest to contribute to EuroVIS 2026 - PhD Education Track : You, Me and the VIS PhD
by Turkay, Cagatay 06 May '26

06 May '26

Hi everyone, We are organizing an activity track at the EuroVis 2026 conference<https://eurovis.org.uk/> where we would like to bring together PhD students and academics for a focused activity on PhD Education in Data Visualization. We would like to discuss PhD study, skills and supervision for students and staff and involved in PhD Education in Visualization by connecting, sharing best practice and developing ideas for the future. Details of the activity can be found on this page<https://jsndyks.github.io/diverse-cdt/eurovis/>. The activity is currently scheduled for Tuesday, June 9th in the afternoon (subject to changes until the EuroVis programme is finalized). To kick-start the activity, we are inviting current or prospective PhD students, at any stage in their studies or planning, to introduce themselves and connect with fellow PhDs and supervisors. This is a great opportunity to build a network of fellow PhDs, hear from experienced academics on their PhD experience and contribute to discussions where we will aim to imagine the visualization PhDs of the future. Please submit your expression of interest through a straightforward submission. The submission is a single visual that tells us something about you and your PhD. This can be anything, submitted in advance, but might involve: * your approach to visualization / design * something important to your PhD * why you love visualization * your favourite / least favourite data vis * something about you (or your data, or your cat) * the future of visualization * something you care about You can request a 1, 3 or 5 minute presentation during the submission and we do our best to fit that in during the day! The deadline to send your expressions of interest to participate are: 31 May 2026 (Anywhere on Earth) Submit your visual (PDF) and details through this Google Form<https://docs.google.com/forms/d/e/1FAIpQLSfRlecXFRfDxf9SgmfccJmDEGJYRcz6c02…>. Any questions, please do not hesitate to contact Cagatay Turkay (cagatay.turkay(a)warwick.ac.uk<mailto:cagatay.turkay@warwick.ac.uk>) and/or Jason Dykes (J.Dykes(a)citystgeorges.ac.uk<mailto:J.Dykes@citystgeorges.ac.uk>). We will appreciate if you can share this widely. If you are a supervisor and have PhD students coming to EuroVis, please flag this session to them as well. Thanks! Cagatay & Jason — Dr Cagatay Turkay Professor Director, Centre for Interdisciplinary Methodologies Co-Director, EPSRC DIVERSE CDT University of Warwick w: https://warwick.ac.uk/fac/cross_fac/cim/people/cagatay-turkay

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IEEE vis4climate workshop
by Georgia Panagiotidou 05 May '26

05 May '26

We are pleased to invite you to **vis4climate**, the 4th workshop on Visualization and Climate Change. This half-day workshop will be held at IEEE VIS 2026 in Boston and aims to build a strong transdisciplinary community of researchers and practitioners working in visualization or climate change related areas. The workshop brings together researchers and practitioners from visualization, climate science, policy, and other fields that relate to climate change to discuss how visualization can support climate mitigation, adaptation, and communication. We welcome submissions across research, reflections, and demos/pictorials. Submission deadline: June 25 Location: Boston Time: November 9 to 13 Details: https://vis4climate.ivia.ch/workshop The plan is for a hybrid setup to increase accessibility and allow unconstrained participation. We look forward to receiving your submissions and to building a diverse community of researchers and practitioners interested in visualization for climate. The vis4climate Organizing Committee: Christina Humer, Andreas Hinterreiter, Aymeric Ferron, Marc Streit, Menna El-Assady, Luiz A. Morais, Georgia Panagiotidou, Benjamin Bach, and Fanny Chevalier

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