June 2026 - Infovis - infovis.org

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

30 Jun '26

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

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

27 Jun '26

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

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

21 Jun '26

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

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CFP: 2nd Workshop on Agentic VIS at IEEE VIS 2026
by ztchen＠umn.edu 15 Jun '26

15 Jun '26

Hi VIS folks, Please help spread the word! We are excited to announce that the 2nd Workshop on Agentic VIS at IEEE #VIS 2026 is coming back to #Boston! This year’s workshop invites submissions on the emerging role of AI agents in visualization through two tracks: 1) short papers and 2) the AgenticVIS Challenge. The challenge is upgraded this year with an arena-style auto-evaluation setup using dev/test sets. 📅 Submission Date: Aug 15, 2026 🔗More : https://visxgenai.github.io/ Co-organized w/ Zhu-Tian Chen, Nam Wook Kim, Saeed BoorBoor, Shivam Raval, Pan Hao, Qianwen Wang, and Vidya Setlur

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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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