June 2024 - Infovis - infovis.org

Graph Drawing 2024: Call for Software Presentations
by karsten.klein＠udo.edu 22 Jun '24

22 Jun '24

Please, help us to distribute this announcement. Apologies for cross-posting. =================================================================== Call for Software Presentations GD 2024 32nd International Symposium on Graph Drawing and Network Visualization September 18–20, 2024 – Vienna, Austria https://graphdrawing.github.io/gd2024/ Important Dates: ---------------- Expression of interest: July 07 Notification of acceptance: July 20 Proceedings abstract due: August 20 =================================================================== For more than 30 years, the International Symposium on Graph Drawing and Network Visualization (GD) has been the main annual event for researchers that focus on combinatorial and algorithmic aspects of graph drawing, their practical evaluation, as well as on the design of network visualization systems and interfaces. Researchers and practitioners working on all aspects of graph drawing and network visualization participate in the symposium. Celebrating the first return of GD to Vienna since the 9th GD Symposium in 2001, we would like to revive the idea of the successful GD 2001 software exhibition and invite software presentations for this year's edition. Software presentations at GD are opportunities to introduce and demonstrate implementations of methods and interfaces for network visualisation, including frameworks and editors or any other tools that support researchers and practitioners in their work. Software realisations that do not directly target application areas or research, but demonstrate some originality regarding outreach to the general public or have artistic value are also very welcome. The software presentation will take place as a part of the core GD program, and participating contributors will get the opportunity to submit a two-page abstract describing their software, which will be part of the official proceedings. The software should be demonstrated on site at the conference, the presenters are welcome to also bring a poster and video describing their software. As there is limited space, we first kindly ask anyone interested in contributing to submit a one-page expression of interest, which should include a short description of the software and its value for the graph drawing community, as well as a short description of how the software would be presented. Please send your expression of interest as a PDF file to gd2024(a)easychair.org. Program Committee Chairs ------------------------ Stefan Felsner (Technical University Berlin) Karsten Klein (University of Konstanz)

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IEEEVIS Workshop on Sustainable Practices within Visualization and Physicalization
by Georgia Panagiotidou 19 Jun '24

19 Jun '24

Just a few more days left to submit your ideas/provocations/designs to the VISions of the Future: Sustainable Practices within Visualization and Physicalization workshop! Join us at IEEEVIS 2024 on Oct 14 in Florida where we will weave together two disparate strands of ‘what can visualization do for climate research’ and ‘what can sustainability research teach the field of visualization’ into a coherent sustainability agenda for the field of Visualization broadly. Submission deadline: July 1st Submission type: 2-4 paper/pictorial/provocation Submission details and more information: https://visionsofthefuture.github.io

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Submission Open for Visualization in Data Science Symposium @ IEEE VIS
by Ana Crisan 18 Jun '24

18 Jun '24

VDS 2024, the tenth Symposium on Visualization in Data Science, solicits original work that emphasizes the role, application, and impact of visualization in data science. We would like to particularly encourage papers that cross disciplinary boundaries and show how visualization in data science can be a catalyst for discovery. Papers that integrate visualization with any stages of the data science pipeline (collecting data, cleaning data, mining data, exploring data, and communicating data) would be welcome as submissions to VDS. Special Theme : Data Science in the Age of AI This year we have a special theme soliciting contributions concerning ‘Data Science in the Age of AI’. We encourage authors to submit their work involving systems, techniques, studies, and theory relating to the relationship between AI and data science work. Unlike previous years, we also encourage the submission of position papers if they belong to the special theme. Contributions to VDS that do not concern this theme are still encouraged. VDS accepts archival full and short paper submissions for talks. *Deadline:* July 6th, 2024 Submission Details: https://www.visualdatascience.org/2024/cfp/ Contact: vds(a)ieeevis.org

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[CFP] First IEEE VIS Workshop on Progressive Data Analysis and Visualization (PDAV)
by Jean-Daniel Fekete 18 Jun '24

18 Jun '24

We solicit contributions that focus on progressive visualization and visual analytics The increasing amount of data is a long-standing challenge for data analysis systems. Although building interactive systems has been a central focus of the visualization community, when applied to large-scale data and complex algorithms, most current visualization systems suffer from long, unmanaged computation delays between user interactions and system responses, rendering the systems unusable. The critical challenge we face here is to make a system’s latency manageable, ultimately ensuring it remains below the golden limits of human latency regardless of the amount of input data and complexity of algorithms. Progressive Data Analysis and Visualization (PDAV) is a novel programming paradigm to control latency by replacing long computations with a series of smaller computations with bounded latency, improving iteratively until the whole computation is completed or until the user is satisfied with the latest iteration and stops. Thus, PDAV computations also need to inform the user about the quality of the result to allow early decisions with controlled quality. With PDAV, visual exploration systems can scale to large data sizes and use complex algorithms interactively, provided they are adapted to run progressively. This new paradigm is promising but will require important research and technical work to become mainstream. This workshop is aimed at explaining and accelerating the development of the paradigm. The workshop will present state-of-the-art research and work-in-progress to design and implement PDAV systems. We encourage late-breaking work, research in progress, and position papers; for example, topics of interest to the workshop include (but are not limited to): Progressive Techniques for Information and Scientific Visualization Progressive Visual Analytics Systems Progressive Algorithms and Data Structures Progressive Databases and Data Management Systems Progressive Machine Learning Progressive Artificial Intelligence Progressive Data Science User Interfaces for Progressive Systems Languages and Toolkits for Progressive Systems Uncertainty in Progressive Systems Infrastructure for Progressive Systems Human Factors in Progressive Data Analysis Applications of Progressive Visual Data Analysis Theories for Progressive Visual Data Analysis Evaluation of Progressive Systems Important Dates Submission Deadline: 1st July 2024 Notification of Acceptance: 19th July 2024 Camera Ready Paper and Poster: 26th August 2024 Workshop (1/2 Day, Morning): 14th October 2024 Organizers Alex Ulmer, Fraunhofer IGD Jaemin Jo, Sungkyunkwan University Michael Sedlmair, University of Stuttgart Jean-Daniel Fekete, Inria & Université Paris-Saclay More info: https://ieee-vis-pdav.github.io/ For questions, please email the workshop chairs directly: pdav-chairs(a)ieeevis.org Alex, Jaemin, Michael & Jean-Daniel -- Jean-Daniel Fekete Jean-Daniel.Fekete(a)inria.fr Aviz Team Leader Inria, Université Paris-Saclay INRIA Saclay Centre www.aviz.fr/~fekete Bat 660, Université Paris-Saclay tel: +33 1 69156551 F91405 ORSAY Cedex, France fax: +33 1 69154240

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IEEE EduVis 2024 cfp
by Fateme Rajabiyazdi 17 Jun '24

17 Jun '24

We invite you to submit to our 2nd IEEE EduVis workshop, which aims to continue discussions on visualization education at the IEEE VIS 2024 conference. This year, submissions will focus on special topics relevant to the EduVIS community. Three submission tracks are: * Visualization for Education [Vis4Ed]: use of visualization in educational settings of any discipline or topic * AI for Visualization Education [AI]: integrate or limit tools like ChatGPT and generative AI into visualization education * Generic Topics in Visualization and Education [General]: includes any other submission relevant to the workshop We welcome submissions in the form of full papers or education reports that share opinions or teaching reflections. Submissions are due July 1. More info: https://ieee-eduvis.github.io/ Best, Fateme [cid:image001.png@01DAC0A5.7A018DF0] Fateme Rajabi, PhD, PEng Assistant Professor Systems and Computer Engineering Carleton University, Ottawa, Canada http://healthvisfutures.sce.carleton.ca/ This email contains links to content or websites. Always be cautious when opening external links or attachments. Please visit https://carleton.ca/its/help-centre/report-phishing/ for information on reporting phishing messages. When in doubt, the ITS Service Desk can provide assistance. https://carleton.ca/its/chat -----End of Disclaimer-----

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ACM UMAP 2024 | Standard Registration until 21 June
by Wanling Cai 15 Jun '24

15 Jun '24

* We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/registration/ ACM UMAP 2024 – Standard Registration until 21 June ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP – User Modeling, Adaptation and Personalization – is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. Proceedings are published by ACM and part of the ACM Digital Library. ACM UMAP 2024 is organized as an in-presence event, with online attendance support only during workshops and tutorials (i.e., the main conference will be run fully in-presence). Only workshops and tutorials will be streamed. ACM UMAP 2024’s organizers seek to foster an accessible and inclusive conference. We recognize that attendees have differing abilities to pay, and have instituted a tiered pricing program to accommodate different financial needs. Thanks for your interest in UMAP 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz Contact Information If you have any questions or enquiries, please contact: umap2024-chair(a)um.org<mailto:umap2024-chair@um.org>.

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Reminder: Papers due tomorrow - HICSS58 minitrack on Visual analytics; Conference - January 7-10 2005, Big Island, Hawaii
by Ebert, David 14 Jun '24

14 Jun '24

Minitrack: Interactive Visual Analytics for Knowledge Integration and Decision Intelligence Minitrack Papers due June 15, 2024 Conference is January 7-10, 2025 at the Hilton Waikoloa Village, Big island, HI https://hicss.hawaii.edu/<https://urldefense.com/v3/__https:/hicss.hawaii.edu/__;!!GNU8KkXDZlD12Q!5QM…> The demands of decision-making in an increasingly interconnected world mandates that complex real-time data analytics will combine with organizational knowledge integration, synthesis, and engineering to a key role in decision-making. Interactive Visual Analytics for Knowledge Integration and Decision Intelligence supports human decision making through interaction with data and statistical and machine learning processes, with applications in a broad range of situations where human expertise must be brought to bear on problems characterized by massive datasets and data that are uncertain in fact, relevance, location in space and position in time. In partnership with organizations in defence, health care, and business, visual analytics research methods combining laboratory studies, cognitive ethnography, and field experiments have aided the design of information systems for decision making about injuries to children, multiomic precision health, radiological diagnosis, and VR for conflict zone operations. Submissions are encouraged that focus on the applications, methods, and theory for visualization, analytics, knowledge integration and decision intelligence in organizations. Case studies of applications of these methods to new analytic and decision making tasks in science and technology, public health, business intelligence, financial analysis, social sciences, and other domains are particularly welcome. Submissions may include studies of visual analytics and decision support in the context of an organization (e.g., communication between analysts and policy-makers), perceptual and cognitive aspects of the analytic task, Interactive Machine Learning, and collaborative analysis using visual information systems. Additionally, submissions may include understandable, trustable AI as well as human-guided AI to round out the problem-solving process. Emphasis will be given to submissions that use visual analytics for social change discovery, analysis, communication, and focus on mixed-initiative human/AI analysis. This minitrack seeks to define analytical methods and technologies that use interactive visualization to meet challenges posed by data, platforms, and applications for decision making and risk-based decision making: * Analysis of multi-perspective knowledge integration, synthesis and engineering in organizations. * Use of interactive visualization and visual analytics in digital economies * Visual analytics and visualization in "wicked" problem solving in organizations * Analysis of datasets of varying size and complexity from archives and real-time streams * Collaborative visual analysis and operational coordination within and across organizations. * Interactive and visual risk-based decision making * Interactive machine learning methods * Managing response time of complex analytical tasks * Effective deployment and case studies of success from deployed visualization and analytics experiences * Visualization and analytics for data-driven policy making and decision support * Issues and challenges in evaluation of visual decision making * Mixed-initiative analysis methods for decision making * Cognitive and social science aspects of visual decision-making environments * Visual decision-making in the context of Trustable AI or mis/disinformation * Theory-enhanced automated detection of fake news and fake comments (with visualization) For HICSS-58, we extend our focus to multidisciplinary collaboration and communication among researcher from a variety of research perspectives. Authors are encouraged to bring the lens of their own background and expertise to focus on the analytics of the data itself and coordination of multiple levels of analysis, decision-making, communication, and operations to the design and evaluation of effective presentations for stakeholders and dissemination of trustful and actionable information. We invite computational, cognitive, communication, and organizational perspectives on advanced data processing and interactive visualization for analysis and decision-making across a range of human endeavors. We also invite participation from researchers who are looking at scaling issues and multiscale issues, whether these scales refer to the time of decision making, the form-factor and operational constraints of mobile devices, the number of decision makers or the more traditional notion of multiscale simulation and real-world scales of data. We are particularly interested in approaches that combine computational and interactive analytics in "mixed initiative" or Interactive Machine Learning systems, decision support in the context of an organization (e.g. communication between analysts and policy-makers), perceptual and cognitive aspects of the analytic task, and collaborative analysis using visual information systems, including developing trustable AI and the challenge of dis/misinformation. Minitrack Co-Chairs: David Ebert (Primary Contact) University of Oklahoma ebert(a)ou.edu<mailto:ebert@ou.edu> Brian Fisher Simon Fraser University bfisher(a)sfu.ca<mailto:bfisher@sfu.ca> Kelly Gaither University of Texas at Austin kelly(a)tacc.utexas.edu<mailto:kelly@tacc.utexas.edu> The Hawaii International Conference on System Sciences (HICSS)<https://hicss.hawaii.edu/> has been known worldwide as the longest-standing working scientific conferences in Information Technology Management. Since 1968, HICSS has provided a highly interactive working environment for top scholars from academia and the industry from over 60 countries to exchange ideas in various areas of information, computer, and system sciences. HICSS ranks second in citation ranking among 18 Information Systems (IS) conferences [1], third in value to the MIS field among 13 Management Information Systems (MIS) conferences [2], and second in conference rating among 11 IS conferences [3]. Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS Associate Vice President of Research and Partnerships Director, Data Institute for Societal Challenges (DISC) University of Oklahoma 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu<mailto:ebert@ou.edu>

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PhD Opening at TU\e - Network visualization and large event sequences analysis
by Arleo, Alessio 10 Jun '24

10 Jun '24

*** 5-year fully funded PhD-TA Position at TU Eindhoven *** Are you eager to work on a topic that brings together advanced network visualization and large event sequences analysis? Contribute to a growing and challenging research field in a five year fully funded PhD-TA journey, investigating complex, multifaceted phenomena as well as industry processes. Apply now! The project will be developed within the visualization cluster under the supervision of Dr. Alessio Arleo (a.arleo(a)tue.nl) and Prof. Fernando Paulovich (f.paulovich(a)tue.nl) The visualization cluster (https://research.tue.nl/en/organisations/visualization) at TU/e has a strong track record in visualization and visual analytics for large event sequences and high-dimensional data. It has generated several award winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several successful start-up companies (MagnaView, Process Gold and SynerScope); and a number of techniques that are used on a large scale world-wide. Do you want to know more and apply? Follow the link below: https://jobs.tue.nl/en/vacancy/phdteaching-assistant-at-tu-e-1084691.html Alessio Arleo, Ph.D. Assistant Professor Department of Mathematics and Computer Science TU Eindhoven

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ACM UMAP 2024 | Online Registration until 21 June
by Wanling Cai 10 Jun '24

10 Jun '24

* We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/registration/ ACM UMAP 2024 – Online Registration until 21 June ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP – User Modeling, Adaptation and Personalization – is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. Proceedings are published by ACM and part of the ACM Digital Library. ACM UMAP 2024 is organized as an in-presence event, with online attendance support only during workshops and tutorials (i.e., the main conference will be run fully in-presence). Only workshops and tutorials will be streamed. ACM UMAP 2024’s organizers seek to foster an accessible and inclusive conference. We recognize that attendees have differing abilities to pay, and have instituted a tiered pricing program to accommodate different financial needs. Thanks for your interest in UMAP 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz Contact Information If you have any questions or enquiries, please contact: umap2024-chair(a)um.org<mailto:umap2024-chair@um.org>.

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Associate Lecturer in Interactive Media @ University of York (teaching: Creative Coding, Unity, Media Asset Creation)
by Jonathan Hook 10 Jun '24

10 Jun '24

== Associate Lecturer in Interactive Media (teaching: Creative Coding, Unity, Media Asset Creation) == - Institution: University of York - Salary £36,024 - £44,263 per year (reduced pro rata for part time working) - Hours of work: Part-time - Apply by: 25/06/2024 https://jobs.york.ac.uk/vacancy/associate-lecturer-in-interactive-media-558… We invite applications for the position of Associate Lecturer in Interactive Media to contribute to the University of York’s teaching in the creative technologies, primarily on its BSc in Interactive Media programme. This position will commence from 2nd September 2024 and will be available as a 0.7FTE appointment for a fixed term period of 10 months. The successful candidate will convene and teach on existing modules covering creative coding and programming, media production for 2D and 3D user experiences. You will also help deliver practical sessions on creative media programming and coding for arts, games and interactive media experiences using a variety of industry standard tools and techniques. You will also contribute to supervising and assessing final year projects, as well as performing assessment moderation. You will also be expected to undertake pastoral supervision duties. The successful candidate will complement the dynamic interdisciplinary teaching team of the creative technologies that spans programming, design, media production, sound recording and humanities, and work with motivated and highly creative students in a rewarding and productive community. We seek applicants with a degree in a relevant subject (e.g. Interactive or Digital Media) and experience of contributing to teaching at HE level. The applicant must also have the skills to design, manage and deliver their own teaching, carry out assessment duties, engage with a wide-ranging audience, as well as supervise student work. With respect to personal attributes, the applicant must demonstrate attention to detail and commitment to high-quality work, a collaborative ethos, a positive attitude to colleagues and students, willingness to work proactively and an ability to plan and prioritise their own work. The role will be held within the University’s interdisciplinary School of Arts and Creative Technologies. The School of ACT was established in 2022, and is a highly innovative unit which brings together research, teaching and commercial activities in the fields of interactive media, music, film, television, theatre, sound recording and the business of the creative industries. Please direct informal enquiries to the Programme Leader of the Interactive Media BSc, Dr Alessandro Altavilla (email: alessandro.altavilla(a)york.ac.uk) Find out more and apply: https://jobs.york.ac.uk/vacancy/associate-lecturer-in-interactive-media-558…

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