- Infovis - infovis.org

GD 2026 – Third Call for Papers – Deadline 6 May
by Miksch Silvia 01 May '26

01 May '26

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

1 0

IEEE VGTC Visualization Awards call for nominations, due May 31 2026
by Tamara Munzner 28 Apr '26

28 Apr '26

The IEEE VGTC Visualization Awards program recognizes and honors individuals who have made a significant contribution to the community through their research and/or service. Please nominate individuals that enable us to recognize both the diversity of individuals and the diversity of contributions from the community at large. There are six categories of VGTC Visualization Awards. *VGTC Visualization Dissertation Award:* recognizes outstanding academic research and development in the field. Eligibility: within 2 calendar years of defending. *VGTC Visualization Significant New Researcher Award:* recognizes an individual who has made significant recent research contributions in the field. Eligibility: most recent degree within 7 years. *VGTC Visualization Technical Achievement Award:* recognizes an individual for a seminal technical achievement and/or significant contribution in the field. *VGTC Visualization Lifetime Achievement Award:* given to an individual to honor that person’s lifetime contribution to the field. *VGTC Visualization Service Award:* recognizes extraordinary service to the community through the IEEE VGTC and/or the IEEE VGTC Sponsored Conferences and Symposia. *VGTC Visualization Academy:* induction into the Academy recognizes the accomplishments of the leaders in the field. The criteria for these awards can be found at: *https://tc.computer.org/vgtc/award-criteria* <https://tc.computer.org/vgtc/award-criteria> Nominations are due by May 31, 2026. New in 2026: a single nomination can be routed to all three of the senior awards: Lifetime, Technical, and Academy. Nominations should provide a rationale that carefully addresses the criteria specified at the above URL that does not exceed 600 words, and also a one-sentence summary, for most of the awards. For the Dissertation Award, nominations should provide - title and abstract of the dissertation, - name of the candidate, - name of the candidate’s primary advisor, - institution where the dissertation was defended, - date of the dissertation defense, - a 1-2 page summary of the significance and impact of the dissertation research, - an electronic copy of the full dissertation, or a pointer to where it can be obtained, - one letter of recommendation, up to 2 pages in length, ideally from the candidate’s primary advisor, - a list of publications, awards, and other recognition by peers produced from the dissertation work. To nominate someone for any of these awards or the academy, please visit: *https://tc.computer.org/vgtc/awards/vis-award-nominations/* <https://tc.computer.org/vgtc/awards/vis-award-nominations/> If you have any questions, please contact: VGTC Awards Program Chair for Visualization Tamara Munzner, University of British Columbia *vgtc-vis-awards(a)vgtc.org* <vgtc-vis-awards(a)vgtc.org>

1 0

4th IEEE Vis Workshop on Visualization Education, Literacy, and Activities (EduVis 2026)
by Keck Mandy 27 Apr '26

27 Apr '26

Dear VIS Community, The 4th workshop on visualization education, literacy, and activities will be held at the IEEE VIS 2026 conference in Boston, United States, with the option to join online. The EduVis workshop aims to become the primary forum to share and discuss advances, challenges, and methods at the intersection of visualization and education. Important Dates Paper and Educator Report Submission - July 3, 2026, 11:59 pm (23:59) AoE Author Notification - July 26, 2026, 11:59 pm (23:59) AoE Camera-ready Submission - August 14, 2026, 11:59 pm (23:59) AoE Submissions will be accepted through PCS. Submission Guidelines and Reviewing Criteria The workshop will accept two types of submissions, peer-reviewed by at least two PC members and one workshop organizer. Paper submissions: full papers (4-8 pages excluding references, must follow the formatting guidelines for VGTC Conference Style Template); submissions will be published at the IEEE Xplore with authors’ permission. Note: Similar to the VIS paper stream, we accept both double-blind (anonymized) and single-blind (not anonymized) submissions Educator reports: short reports (1-2 pages, template agnostic) to discuss opinions or reflections on teaching experiences or describe the results of a datavis activity conducted and how it could be reused by others and in other contexts; they will be published in the Nightingale magazine (pre-arranged with the Data Visualization Society). Guidelines to publish at Nightingale can be found here https://nightingaledvs.com/article-submission/#digital-guidelines At least one author for each paper or educator report must register and attend the conference in person or online. For more information, please refer to https://ieee-eduvis.github.io/ Christina Stoiber, Fateme Rajabiyazdi, Mandy Keck, Magdalena Boucher, Jonathan Roberts, Lonni Besancon, Mathis Brossier, Yixuan Li

1 0

EXTENDED DEADLINE: GRADUATE SYMPOSIUM| DIAGRAMS 2026
by DIAGRAMS CONFERENCE 25 Apr '26

25 Apr '26

*** *Extended deadline: **Graduate Symposium** for Diagrams 2026**** 15th International Conference on the Theory and Application of Diagrams August 24–28, 2026 Tallinn University of Technology, Tallinn, Estonia https://diagrams-conference.org/2026/ *** Highlights *** - Proceedings published by Springer - Graduate Symposium - Three Tracks: Main <https://diagrams-conference.org/2026/calls/main-track/>, Philosophy <https://diagrams-conference.org/2026/calls/philosophy-of-diagrams/>, and Psychology and Education <https://diagrams-conference.org/2026/calls/psychology-and-education/> - Best Paper and Best Student Paper awards ***************************************************************** The Diagrams conference provides a united forum for all researchers with an interest in the study of diagrams. The conference fosters multi-disciplinarity and allows researchers from areas such as computer science, mathematics, psychology, philosophy, history (of science, art, etc.), education research and more to meet and share their perspectives on the theory and application of diagrams. The goal of the Diagrams 2026 Graduate Symposium is twofold. Firstly, the Symposium will provide senior graduate students and recent Masters and Doctoral graduates with the opportunity to present their research. Established researchers will provide feedback and comments on each of the presentations. Secondly, the Symposium will provide students with an opportunity to network with each other as future colleagues. In previous Diagrams Graduate Symposiums, lively and useful discussions have enabled students to receive suggestions about their on-going research and allowed more experienced participants to hear some fresh ideas and view some of the new trends in the field. ***************************************************************** Submission Requirements Submissions that focus on any aspect of diagram research are welcome. Topics of interest are the same as those given in the calls for papers for the three conference tracks: Main, Philosophy, Psychology and Education. Students who wish to present their work at the symposium must submit a 3-page report describing – their thesis topic and the approach being taken, – the work that has been completed, – the expected contributions of the research, – any necessary acknowledgements (for example, supervision team and source funding) Students should be the sole authors of their submission, and the supervisor's name should be included in the acknowledgements section. *The report must be submitted in Springer LNCS format.* *Students who submit to the graduate symposium must ask their main or lead supervisor to submit a short supporting statement.* The supporting statement should confirm that the supervisor supports the student’s participation in the symposium and briefly explain why the student will benefit.It is the student’s responsibility to ensure that their supervisor submits the supporting statement. The supervisor's report should be sent to the Graduate Symposium Chair, *Nathan Haydon nhaydon(a)uwaterloo.ca <nhaydon(a)uwaterloo.ca>.* Submission should be made via EasyChair: https://easychair.org/confer-ences/?conf=diagrams2026 *Grad Symposium Due Date: May 15, 2026Supervisor Report Due Date: May 22, 2026Notifications Sent: May 29, 2026* For questions, please contact the Graduate Symposium Chair, Nathan Haydon nhaydon(a)uwaterloo.ca. More details and important dates can be found at https://diagrams-conference.org/2026/calls-2/tutorials-2/ <https://diagrams-conference.org/2026/calls-2/tutorials-2/> -- Publicity Chair, Diagrams Conference 2024 Reetu Bhattacharjee, PhD Department of Philosophy University of Münster

1 0

Questions about chart preferences
by Johanna Schmidt 22 Apr '26

22 Apr '26

Dear VIS Community, we are currently conducting a very brief user survey on chart preferences among various interest groups within organizations. We would also like to gather the opinions of researchers from the VIS community. If you have a moment, we would greatly appreciate hearing your thoughts! https://an0101st.limesurvey.net/969369?lang=en&newtest=Y Best, Johanna -- Dr. Johanna Schmidt Senior PostDoc TU Wien Institute of Visual Computing & Human-Centered Technology Research Unit of Computer Graphics jschmidt(a)cg.tuwien.ac.at

1 0

CFP: Human-Guided, Interactive AI-driven Decision Intelligence — HICSS-60 (Jan 5–8, 2027, Hawaii) | Submission Deadline: June 15
by Yun Jang 22 Apr '26

22 Apr '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-servi… 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

1 0

[CfP] SUMAC'26 @ACMMM'26: the 8th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents
by Valerie Gouet 21 Apr '26

21 Apr '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 10 or 14 November, 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 bench-marking 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: TBA (November 10 or 14, 2026) 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/

1 0

IEEE VIS 2026 Call for Posters: deadline June 24.
by Benjamin Bach 21 Apr '26

21 Apr '26

Dear colleagues, The IEEE VIS 2026 Poster Program (Boston, MA, Nov 9-13) welcomes contributions that showcase emerging ideas, work in progress, follow-up or extended studies, practical applications, and evaluations of existing visualization techniques. Examples of appropriate visualization work include, but are not limited to - research exploring new problems, ideas or areas, - early results and demos of pilot projects, - new angles on existing (collections of) work or known datasets, - provoking perspectives, - work-in-progress presented prior to its full publication, - any work that might particularly benefit from demonstration to and active discussion with the visualization community, - the application of visualization techniques, - synthesized highlights of recent work published or presented in another venue: submissions need to contain original content, i.e., no verbatim re-submissions of existing work is allowed (please see the plagiarism statement in the end). The presentation of posters will happen as a physical event at the conference. There will be a dedicated poster session in which poster authors can meet and discuss their work with conference participants. An additional web presence of posters will supplement the traditional physical installation of poster boards. More concrete details will follow soon, with the goal of creating an engaging atmosphere. In addition to the poster presentation, the submitted two-page summary (below) will optionally be included into the non-archival conference website for download. More info on submission and formatting here: https://ieeevis.org/year/2026/info/call-participation/posters Best wishes, IEEE Posters Chairs ----- Lingyun Yu, Xi’an Jiaotong-Liverpool University Narges Mahyar, City St George’s, University of London Thomas Höllt, Delft University of Technology Benjamin Bach, Inria Benjamin Bach, PhD, HDR ------------------------------------ Senior Researcher / Directeur de Recherche Bivwac Team, https://bivwac.fr Inria, Bordeaux https://benjbach.net

1 0

DIVERSE-CDT : Fully Funded PhDs in Data Visualization
by Dykes, Jason 13 Apr '26

13 Apr '26

We are offering fully funded, richly resourced and immensely well supported PhD studentships in Data Visualization at DIVERSE-CDT - the new Centre for Doctoral Training in Diversity in Data Visualization at the University of Warwick and the University of London: https://diverse-cdt.ac.uk/ Our application window closes soon. Please encourage students with potential to apply to join our world-class, innovative PhD program in data visualization. https://diverse-cdt.ac.uk/apply/ Change what we can see. See what we can change. Jason and co. DIVERSE-CDT City St George's, University of London University of Warwick.

1 0

DeepLearn 2026: early registration April 25
by David Silva - IRDTA 04 Apr '26

04 Apr '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: April 25, 2026 ****************************************************** SCOPE: DeepLearn 2026 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Luleå, Bournemouth, Bari, and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 16 four-hour and a half courses, 2 keynote lectures, 1 round table, and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduates, postgraduates and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, hence people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2026 will take place in Orléans, located in the heart of the Loire Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue will be: University of Orléans Faculty of Law, Economics and Management 11 rue de Blois 45100 Orléans, France https://www.univ-orleans.fr/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their industrial developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yingbin Liang (Ohio State University), Convergence Theory: How Fast Do Discrete Diffusion Models Generate? Le Song (Mohamed bin Zayed University of Artificial Intelligence), Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology PROFESSORS AND COURSES: Nitesh Chawla (University of Notre Dame), [intermediate] Learning from Imbalanced Data Yuejie Chi (Yale University), [introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy Machine Learning from Data to Models Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models Mingyi Hong (University of Minnesota), [intermediate] Modern Optimization Algorithms for Large Language Models Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced] Optimizers for Large Language Model Training Furong Huang (University of Maryland), [advanced] Generative AI Agents Tara Javidi (University of California San Diego), [intermediate] Active Physical Intelligence for Industrial Scale Monitoring Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Suvrit Sra (Technical University of Munich), [introductory/intermediate] Introduction to the Theory of Learning with Transformers Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Long-Horizon Agentic Intelligence Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in Multimodal Understanding and Generation Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Large Language Models Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from Virtual to Physical World OPEN SESSION: An open session will collect 5-minute voluntary oral presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by July 12, 2026. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Abstracts have to be submitted to david(a)irdta.eu by July 12, 2026. HACKATHON: A hackathon will take place, where participants can voluntarily work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by the end of August 2026. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Karim Abed-Meraim (Orléans, local co-chair) Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Meryem Jabloun (Orléans, local co-chair) Carlos Martín-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) Florian Nowicki (Orléans, social networks) Philippe Ravier (Orléans, local chair) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Université d’Orléans Collège Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London

1 0