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[CfP] IUI Workshop on Visualization and Provenance Across Domains
by John Wenskovitch 28 Dec '23

28 Dec '23

We are organizing a workshop at IUI focused on data and interaction provenance, visualization, and intelligent systems and interfaces. Please see the details of the call below: *Scope of Topics* We aim to further the provenance endeavors in the IUI community by targeting interface applications, user evaluations, and explanations of provenance information. Examples of challenges in these areas include training data provenance, the use of generative AI tools, and understanding the user psychology surrounding interactions with provenance visualizations. This also includes identifying emerging provenance research opportunities, such as its role in supporting Machine Learning and Explainable AI. Through this workshop, we aim to bridge connections with diverse IUI communities, facilitating a deeper understanding of their unique challenges and needs, and fostering discussions on innovative solutions While we are interested in any submissions at the intersection of provenance and visualization, we are especially focused on: - What are the opportunities for provenance in emerging research areas such as machine learning reproducibility? - What are the most pressing provenance-related challenges in the IUI community? Are there any visualization-related solutions to them? For example, - What visualization or user interface techniques may be used to describe retrospective and prospective provenance data that are more interactive, scalable, and user-friendly? - How can provenance visualizations (of the data collection, decision processes, or current users interactions) support machine learning explanations? - What can we learn when contrasting the problems of these two communities? Is there any interface design problem that can benefit from a data provenance method? *Important Dates* January 16, 2024: Paper submission deadline February 9, 2024: Paper author notification March 1, 2024: Paper camera-ready version deadline *All times are midnight Anywhere on Earth (AOE)* *Submission* We will accept research papers/extended abstracts or position papers. Your submission should be commensurate with the level of contribution but is required to be at least 2 pages (plus references). Papers must follow the ACM IUI submissions guidelines ( https://iui.acm.org/2024/call_for_papers.html) Your submission should be anonymized to facilitate a double-blind review between authors and the conference organizers. Accepted authors will be invited to post their work in an arXiv collection (which will not be considered archival). For further details on submission, please see the workshop website: https://visxprov.github.io/ *Organizers* John Wenskovitch, PNNL Kai Xu, University of Nottingham Michelle Dowling, PNNL Yilin Xia, University of Illinois Urbana-Champaign

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ACM UMAP 2024 - Call for Late-Breaking Results and Demos
by Wanling Cai 24 Dec '23

24 Dec '23

* We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-lbr-and-demos/ ACM UMAP 2024 - Call for Late-Breaking Results and Demos ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is sponsored by ACM SIGCHI<https://sigchi.org/> and SIGWEB<https://www.sigweb.org/>. User Modeling Inc.<https://um.org/>, as the core Steering Committee, oversees the conference organization. ACM UMAP operates under the ACM Conference Code of Conduct<https://www.acm.org/about-acm/policy-against-harassment>. The proceedings, published by ACM, will be part of the ACM Digital Library. ACM UMAP 2024 invites Late-Breaking Results (LBR) papers as well as Demonstrations (demos) of innovative UMAP-based systems (including research prototypes). The topics for these submissions are the same as the ones included in the Call for Full and Short Papers<https://www.um.org/umap2024/call-for-full-and-short-papers/>. However, their scope and timing is different. In particular, although short papers (from the main track) and the LBR papers of this call have the same maximum length, LBR papers are expected to present innovative ideas that are being explored and have already shown some promising results. It is also a dissemination channel for new research directions. Mature results which have already gone through experimental validation are more suitable for the general call, either as a full or short paper. Thus, rejected papers from the main track are not expected to be a valuable contribution as an LBR paper unless their contents are revised to address the scope of this track. Note also that LBR papers are to be presented physically during the conference in a poster format, allowing for more informal discussions on the ideas shared. Demos are intended to present systems that have been used to achieve the research outcomes presented as full and short papers. Thus, we highly recommend authors of accepted full and short papers to also prepare a submission for a demo of their system to be showcased at the conference in the LBR and Demo session. ** Important Dates ** Submission: April 18, 2024 Notification: May 9 2024 Camera-ready Submission (TAPS system): May 16, 2024 Conference: July 1 – 4, 2024 Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth)<https://www.timeanddate.com/time/zones/aoe> time. Submission All submissions must be written in English. Papers should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the “UMAP24 Late Breaking Results and Demo Papers” track ** Length and Formatting ** -- Late-Breaking Results Format -- * Page Limits. Up to 7 pages, plus up to 2 additional pages for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). * Proceedings. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation. Physically presented as a poster during the conference. * Description. LBRs are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of UMAP. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. In case that papers rejected in the main track (i.e. submitted as full or short papers) are submitted to this track, they should be revised not only to take into account the comments made to help improve the paper, but to fulfill the scope of the LBR, which emphasizes novelty of ideas. This is also valid for papers that have been recommended as an LBR when rejected in the main track. -- Demos Format -- * Page Limits *. Up to 5 pages, plus up to 1 additional page for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2024. * Supporting Material *. Video or external material demonstrating the system. * Proceedings *. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation * . Physically presented as a demo plus as a poster during the conference. * Description *. Demos will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and get valuable feedback from the community, especially for those papers that have been presented in the main track. Each demo submission must make clear which aspects of the system will be demonstrated, and how these will be demonstrated on-site as well as online. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or any external material related to the demo (e.g., shared code on GitHub). Non-Anonymity. Submissions will be reviewed single-masked (i.e., authors’ names should be included in the papers) thus there is no need to be anonymized before submission. Template for the Research Description. Following the ACM Publication Workflow<https://www.acm.org/publications/taps/word-template-workflow>, all authors should submit manuscripts for review in the new ACM single-column format. Instructions for authors are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM’s instructions for preparing your article with LaTeX<https://authors.acm.org/proceedings/production-information/preparing-your-a…>. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM’s instructions for preparing your article with Overleaf<https://authors.acm.org/proceedings/production-information/overleaf>. * Word. Please carefully follow the ACM’s instructions for preparing your article with Microsoft Word<https://authors.acm.org/proceedings/production-information/preparing-your-a…> Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport(a)aptaracorp.com<mailto:acmtexsupport@aptaracorp.com> for LaTeX and Microsoft Word inquiries. * Accessibility *. Authors are strongly encouraged to provide “alt text” (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author’s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures<https://authors.acm.org/journals/accessibility-recommendations-for-publishi…>. ** Review Process & Camera-ready Submission ** * Review * Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits or do not adhere to the formatting guidelines will be returned without review. The ACM Code of Ethics<https://ethics.acm.org/> gives the UMAP program committee the right to (desk-)reject papers that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes/implications that clearly disadvantage minority communities. Further, reviewers will be explicitly asked to consider whether the research was conducted in compliance with professional ethical standards and applicable regulatory guidelines. Failure to do so could lead to a (desk-)rejection. * Camera-ready Information *. Accepted papers will be subject to further revision to meet the requirements of the camera-ready format required by ACM. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. Instructions for preparing the camera-ready versions of accepted papers will be provided after acceptance. This might include instructions to prepare a video of the accepted contribution. Camera-ready versions of accepted papers will be later submitted using ACM’s new production platform<https://www.acm.org/publications/proceedings-template> where authors will be able to review PDF and HTML output formats before publication. ** Registration and Presentation Policy ** Each accepted paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted paper must be presented in person to be included in the conference adjunct proceedings, published by ACM and available via the ACM Digital Library. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. During the conference, all categories will be presented at the poster reception, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. ** Late-Breaking Results and Demos Chairs ** * Bamshad Mobasher, DePaul University, USA * Hanna Hauptmann, Utrecht University, Netherlands * Olga C. Santos, Universidad Nacional de Educacion a Distancia (UNED), Spain Contact information: umap2024-lbr at um.org

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[CFP] IEEE PacificVis 2024 VisMeetsAI - Due on Jan 5 2024
by Junpeng Wang 23 Dec '23

23 Dec '23

Dear Colleagues, Please find below the CFP for our “Visualization Meets AI” workshop, co-located with IEEE PacificVis 2024. The submission deadline has been updated to *January 5, 2024*. ===WORKSHOP=== Visualization Meets AI Workshop, colocated with IEEE PacificVis 2024 https://vismeetsai.github.io/ The task of data visualization generally involves a design step, which requires the knowledge of the data domain and visualization methods to do well. Because of the immense design space for optimization, it can take both novices and experts substantial effort to derive desired visualization results from data for exploration or communication. Following the resurgence of artificial intelligence (AI) technology in recent years, in the field of visualization, there is a growing interest and opportunity in applying AI to perform data transformation and to assist the generation of visualization, aiming to strike a balance between cost and quality. The use of visualization to enhance AI is the other active line of research. This workshop, held in conjunction with IEEE PacificVis 2024, aims at exploring this emerging area of research and practice by fostering communication between visualization researchers and practitioners. Attendees will be introduced to the latest and greatest research innovations in AI-enhanced visualization (AI4VIS) as well as visualization-enhanced AI (VIS4AI), and also learn about further research opportunities. The workshop will be composed of paper presentations and invited talks. ===CALL FOR PAPERS=== All accepted papers will appear in the proceedings of IEEE PacificVis 2024 and the IEEE Xplore Digital Library. We welcome contributions as both full papers and short papers this year. There is no page limit, but authors are encouraged to submit a paper whose length matches its contribution, and the manuscript should be prepared according to the guide for authors given at IEEE. Check out https://vismeetsai.github.io/ <https://vismeetsai.github.io/> for submission details. ===IMPORTANT DATES=== - Paper due: December 29, 2023 January 5, 2024 - 1st cycle notification: February 2, 2024 - Revision due: February 16, 2024 - 2nd cycle notification: February 26, 2024 - Camera ready paper due: March 4, 2024 - Workshop: April 23, 2024 All deadlines are due at 11:59pm Anywhere on Earth (AoE). Thanks, Takanori Fujiwara and Junpeng Wang Visualization Meets AI Workshop Co-Chairs

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[PhD Position Opening] Prae-doc position on Visual Analytics and Information Diffusion @ TU Vienna – 30/40 hrs (m/f/d)
by Arleo, Alessio 20 Dec '23

20 Dec '23

## Apologies if you receive multiple copies of this message ## --------------------------------------------------------------- ** FUNDED PHD POSITION AT TU VIENNA ** --------------------------------------------------------------- Funded PhD position within the ViSual ANalytics for Event-based Diffusion on Networks (SANE) project @ TU Wien f/m/d (30-40h) We are hiring a talented PhD candidate in an international project on the visual analytics of complex diffusion processes over temporal networks. You will work in the context of SANE, a project held by TU Vienna (Austria), the University of Cologne (Germany) and the University of Newcastle (United Kingdom). This project arrangement gives you unique career opportunities, including student exchanges abroad, regular meetings with researchers from the other institutions participating to the project. We are looking for a PhD candidate to work from the TU Wien, at the Institute of Visual Computing and Human-Centered Technology, in the Research Unit of Visual Analytics. We offer a position as project assistant (prae-doc) limited to 3 years for 30 hours/week (that can beex-tended to 40). Gross annual (monthly) salary of Euro 43,650 (2,464.80) according to FWF regulations. In this position, you will begin your doctoral journey studying problems related to the topic of event-based (or “temporal”) network visualization. In Event-based networks, the time coordinates where the nodes and the edges are “active” are an explicit element of the representation, differently from traditional timeslicing where a time structure is imposed over the input data. You will apply these concepts to the problem of Information Diffusion. Information Diffusion studies how “information” flows and spreads through an underlying network, and has been used to model, simulate, and predict natural and human-made phenomena in countless different domains (e.g., pathogen spread, malware outbreak in computer networks, viral marketing, etc.). However, little research has been done on this problem within the context of visualization. Wanna know more? Check the project description and complete job posting at https://www.cvast.tuwien.ac.at/projects/sane --------------------------------------------------------------- Deadline for applications: 29 January 2024 Expected start: March 2024 --------------------------------------------------------------- Questions? You can reach me at Alessio.arleo(a)tuwien.ac.at<mailto:Alessio.arleo@tuwien.ac.at>

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PhD Position in AI and Visual Analytics for Multi-Modal Summarization
by Marcel Worring 20 Dec '23

20 Dec '23

The Informatics Institute at the University of Amsterdam is looking for an ambitious PhD student to integrate AI and visual analytics in summarizing multi-modal data in the public health domain. Your research is part of the Multimedia Analytics (MultiX) lab with a strong focus on dealing with multi-modal data. For more information see https://www.academictransfer.com/en/335457/phd-position-in-ai-and-visual-an…

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Open PhD Position on
by Arleo, Alessio 19 Dec '23

19 Dec '23

--------------------------------------------------------------- ** FUNDED PHD POSITION AT TU VIENNA ** --------------------------------------------------------------- Funded PhD position within the ViSual ANalytics for Event-based Diffusion on Networks (SANE) project @ TU Wien f/m/d (30-40h) We are hiring a talented PhD candidate in an international project on the visual analytics of complex diffusion processes over temporal networks. You will work in the context of SANE, a project held by TU Vienna (Austria), the University of Cologne (Germany) and the University of Newcastle (United Kingdom). This project arrangement gives you unique career opportunities, including student exchanges abroad, regular meetings with researchers from the other institutions participating to the project. We are looking for a PhD candidate to work from the TU Wien, at the Institute of Visual Computing and Human-Centered Technology, in the Research Unit of Visual Analytics. We offer a position as project assistant (prae-doc) limited to 3 years for 30 hours/week (that can beex-tended to 40). Gross annual (monthly) salary of Euro 43,650 (2,464.80) according to FWF regulations. In this position, you will begin your doctoral journey studying problems related to the topic of event-based (or “temporal”) network visualization. In Event-based networks, the time coordinates where the nodes and the edges are “active” are an explicit element of the representation, differently from traditional timeslicing where a time structure is imposed over the input data. You will apply these concepts to the problem of Information Diffusion. Information Diffusion studies how “information” flows and spreads through an underlying network, and has been used to model, simulate, and predict natural and human-made phenomena in countless different domains (e.g., pathogen spread, malware outbreak in computer networks, viral marketing, etc.). However, little research has been done on this problem within the context of visualization. Wanna know more? Check the project description and complete job posting at https://www.cvast.tuwien.ac.at/projects/sane --------------------------------------------------------------- Deadline for applications: 29 January 2024 Expected start: March 2024 --------------------------------------------------------------- Questions? You can reach me at Alessio.arleo(a)tuwien.ac.at<mailto:Alessio.arleo@tuwien.ac.at> ================================================================ Alessio Arleo, Ph.D. Vienna University of Technology (TU Wien) Faculty of Informatics Institute of Visual Computing & Human-Centered Technology Favoritenstrasse 9-11 /193-07 A-1040 Vienna, Austria, Europe email: alessio.arleo(a)tuwien.ac.at<mailto:alessio.arleo@tuwien.ac.at> url: https://alessioarleo.com phone: +43-1-58801-188211 =================================================================

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[ACM IUI 2024] 2nd Call for Posters and Demos
by Wanling Cai 19 Dec '23

19 Dec '23

* We apologize if you receive multiple copies of this CfP * * Online version: https://iui.acm.org/2024/call_for_posters_demos.html **ACM IUI 2024 - Call for Posters and Demos** 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ ACM Conference on Intelligent User Interfaces (ACM IUI) 2024 is the 29th annual premiere venue, where researchers and practitioners will meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques, and systems. We welcome contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and machines, by leveraging both HCI approaches and state-of-the-art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contributions from all relevant arenas, academia, industry, government, and non-profit organizations, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. **Posters** Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions relevant to all conference topics. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full-length research paper at a refereed conference. The page limit for poster papers is 7 pages (references do not count toward the page limit). Submitting a draft poster along with your submission is not required but is recommended. Accepted poster papers will appear in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person. **Demos** The demonstration track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 4 pages (references do not count toward the page limit). Authors further need to submit a video (max. 5 mins) along with their demo paper to showcase their work. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person. Authors who submitted a long or short research paper are welcome to also propose a demo of their work to exemplify their work at the conference. **Submission Instructions** Up to 4 (Demo) or 7 (Poster) page paper (references do not count towards the page limit). Demo and poster submissions do not need to be anonymized. Submissions should follow the ACM Master Article Templates in a single column format. * We will adopt the ACM TAPS Workflow<https://www.acm.org/publications/taps/word-template-workflow>. * Prepare your submission for review in a single column format, using the latest templates: Word Submission Template <https://authors.acm.org/proceedings/production-information/preparing-your-a…> , or the LaTeX template <https://authors.acm.org/proceedings/production-information/preparing-your-a…> using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: https://dl.acm.org/ccs/ccs.cfm A video (up to 5 mins) is required for demo submissions. The video should showcase the system that will be demonstrated during the conference. Please follow the SIGCHI Technical Requirements and Guidelines for Videos.<https://sigchi.org/conferences/author-resources/video-guide/> Please submit your demos and posters at http://new.precisionconference.com/~sigchi under the IUI 2024 Demos and Posters track. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "IUI 2024 Demos and Poster", respectively, and press "Go". ** Important dates (AoE) ** * Submission - January 9, 2024 * Notification to authors - January 30, 2024 * Camera-ready - February 8, 2024 Poster and demo chairs (posters2024(a)iui.acm.org<mailto:posters2024@iui.acm.org>) * Marko Tkalcic, University of Primorska * Hanna Hauptmann, Utrecht University

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[ACM IUI 2024] 2nd Call for Doctoral Consortium Submissions
by Wanling Cai 19 Dec '23

19 Dec '23

* We apologize if you receive multiple copies of this CfP * * Online version: https://iui.acm.org/2024/call_for_doctoral_consortium.html ** ACM IUI 2024 - Call for Doctoral Consortium Submissions** 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024) Greenville, South Carolina, USA, March 18-21, 2024 https://iui.acm.org/2024/ ** Overview ** The IUI 2024 Doctoral Consortium (DC) provides students an opportunity to present and receive feedback about their research in an interdisciplinary workshop, under the guidance of a panel of mentors selected from senior researchers in the field. We invite students who feel they would benefit from this kind of feedback—the ideal participant is a doctoral student about two years from finishing their Ph.D. We will also consider advanced Master's students and junior Ph.D. students provided their research plan is sufficiently developed to benefit from the discussion at the DC. Submissions will be selected by the DC chairs and potentially other reviewers. The strongest candidates will be those who have a clear topic and research approach and who have made some progress, but are not too far along in their research so that they can still reshape their research topic or approach. The final version of accepted Doctoral Consortium submissions will be included in the main conference proceedings published in the ACM Digital Library. The Doctoral Consortium workshop will take place as a separate session in parallel to workshops and tutorials, and DC participants will have the opportunity to present their research in the poster session during the main program. Complimentary/reduced conference registration will be available for students. Doctoral Consortium participants will also be given high priority when applying for the student travel awards, under the precondition that they agree to assist as student volunteers in the organization of the event. ** Objectives ** The objectives of the Doctoral Consortium are to: * Serve as a supportive setting to provide/receive feedback on students' current doctoral research as well as guidance on future research directions; * Offer each student comments and fresh perspectives on their work from researchers and students outside of their own institution; * Promote the development of a supportive community of scholars and a spirit of collaborative research; * Contribute to the conference goals through interaction with other researchers and conference events. ** Submission Instructions ** If you are unsure about eligibility or submission requirements, please do not hesitate to email us at dc2024(a)iui.acm.org<mailto:dc2024@iui.acm.org>! To apply for the Doctoral Consortium, two steps are required: Please submit a single PDF containing your technical submission (for details see below) via PCS by January 9. In addition, your doctoral or thesis advisor should send a separate, brief letter of recommendation to the DC chairs at dc2024(a)iui.acm.org<mailto:dc2024@iui.acm.org> by January 12. For the technical submission, please upload a single PDF containing the following four items to https://new.precisionconference.com/~sigchi by January 9, 2024: 1. Cover Letter (1 page max): Please include your full name, contact details, affiliation, web page, expected graduation date and target degree, the name of your thesis advisor, gender (optional), home country (optional), and whether you are a member of an underrepresented minority group (optional). 1. DC Submission (4 pages max including references) A document describing your thesis/dissertation topic and research plan and your progress thus far. Key points the submission should include: motivation for your dissertation research goal and research questions related work that frames your research methods/approach to reach the goal results, if any next steps for your research 1. Questions to mentors and co-students (1 page max): List the main questions and discussion points regarding your thesis/dissertation topic for which you expect to receive feedback from the Doctoral Consortium mentors/participants. 1. Your CV (3 pages max) Provide an academic curriculum vitae (CV) document. ** How to format and submit ** Prepare your submission for review in a single column format, using the latest templates: Word Submission Template , or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. All materials must be submitted electronically to PCS 2.0 https://new.precisionconference.com/~sigchi <https://new.precisionconference.com/~sigchi%22> by the Doctoral Consortium deadline. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "Doctoral Consortium", respectively, and press "Go". ** Important dates (AoE) ** * DC Contributions Submission Due: Jan 9, 2024 Consortium Chairs (dc2024(a)iui.acm.org<mailto:dc2024@iui.acm.org>) * Paul Taele, Texas A&M University, USA * Jurgen Ziegler, University Duisburg-Essen, Germany

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Open PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University (LNU), Sweden
by Andreas Kerren 19 Dec '23

19 Dec '23

*** Apologies for cross-posting *** Come and join us! We are seeking for an engaged and bright PostDoc to work with us in the areas of Information Visualization (InfoVis) and Visual Analytics (VA). The position will be placed in the ISOVIS group (https://cs.lnu.se/isovis/) led by Professor Andreas Kerren, Linnaeus University (https://lnu.se/en) Växjö Campus, Sweden. The postdoc fellow will conduct research within the fields of information visualization and visual analytics in close collaboration with ISOVIS members, other research groups of the department, and domain experts within the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA). Work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visualization tools and performing user studies, to the reporting of the results in publications. Thematically, the research interests of the successful candidate can be aligned with the research foci of the group (cf. group web site), but we are especially interested in complementary expertise in the areas of InfoVis and/or VA. In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, but possibly also in the areas of domain experts. To the extent of about 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels and providing visualization support for scientists affiliated to the DISA center or for researchers approaching us through the National Research Infrastructure For Data Visualization (InfraVis; https://infravis.se/) For a more detailed description of the duties, formal requirements, and on how to apply for this position, we encourage you to contact Professor Andreas Kerren via email (andreas.kerren(a)lnu.se) at your earliest convenience. Please also consider to share this message with other interested candidates. Best regards, Andreas Kerren ISOVIS Group @ Linnaeus University

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[CfP] 1st Workshop on Visual Process Analytics (VIPRA 2024) - Co-Located EuroVis 2024
by Arleo, Alessio 19 Dec '23

19 Dec '23

##################################################### 1st Workshop on Visual Process Analytics (VIPRA 2024) - May 27th, 2024 (in conjunction with EuroVis 2024), Odense, Denmark – https://vipra-workshop.github.io/homepage/ ##################################################### Call for Papers ---------------- The 2024 Workshop on Visual Process Analytics (Vipra 2024) is the 1st annual workshop that provides an opportunity for participants to discuss state-of-the-art event visualization and process mining and learn how both techniques can mutually benefit each other. In this workshop we aim to bring together researchers from both Visual Analytics and Process Mining, to learn, create a common language, spark collaborations, and advance both fields. Process Mining is a data-driven discipline that focuses on extracting valuable insights and knowledge from the vast amount of event data generated within organizations. It involves the discovery, analysis, and improvement of process models by leveraging techniques from data science, machine learning, and data analytics. By examining event logs and historical data, process mining aims to provide a clear, objective view of how processes actually operate, identifying bottlenecks, deviations, and opportunities for optimization. In turn, this supports organizations in making more data-informed decisions, and enhance operational efficiency. Visual analytics is an interdisciplinary field that combines data visualization, analytical techniques, and interactive interfaces to help people make sense of complex and often large datasets. It focuses on using the power of visual representations to facilitate data exploration, pattern recognition, and decision-making. By enabling users to interact with data through graphical interfaces, visual analytics promotes a deeper understanding of information, uncovers hidden insights, and supports the detection of trends, anomalies, and relationships that might be challenging to discern through traditional data analysis methods alone. We believe that process mining and visual analytics can mutually benefit each other. Until now, there has been limited interaction between the two fields, despite their shared objectives. In process mining, the emphasis has traditionally been on data extraction and process discovery, often neglecting the visualization aspect, whereas in visual analytics, event visualization efforts have often overlooked the wealth of process mining techniques that can enhance visualizations and analysis. Bridging this gap and fostering collaboration between the two fields will not only lead to more informed, efficient, and data-driven improvements in various domains but also advance the research and innovation in both process mining and visual analytics, ultimately contributing to a more holistic and integrated approach to understanding and optimizing complex processes. Topics and Scope ---------------- We encourage submissions from all areas on the intersection of visual analytics and process mining. The 2024 Workshop on Visual Process Analytics will cover a range of topics exploring the intersection of PM and VA including (but not limited to): - VA to support exploration and comparison of discovered process models - VA to support the comparison of event logs and process models, e.g., in conformance checking - VA to support the generation of hypotheses about the business process and the identification of process improvement ideas - VA to represent temporal and spatial uncertainty in PM models - Research challenges, pitfalls, and opportunities related to the intersection of VA and PM - The role of AI in PM, and how Visualization and explainable-AI solutions can support model comprehension, exploration, and refinement Paper Submission and Format Guidelines -------------------------------------- We will accept short papers with up to 5 pages plus one page of references (5 + 1). We encourage a diverse range of submissions and demonstrations in any of the short paper types listed below: - Application/Case-study papers (format: 5 + 1) - Research papers (format: 5 + 1) - Position papers and system demos papers (format: 2 + 1) All material will be submitted via the Precision Conference System (PCS): https://new.precisionconference.com/submissions For all submissions, please use the EuroVis 2024 LateX2e Style. On Overleaf, this template can be imported easily by selecting "New Project" -> "Upload Project" and uploading the zip file. Use EGAuthorGuidelines-eurovis24-short.tex for your submission: https://medialib.cmcdn.dk/medialibrary/80234312-1C55-406C-86A7-410099EB2739… Contact vipra.workshop at gmail.com if you have any questions or visit https://vipra-workshop.github.io/homepage/ Important Dates --------------- - Deadline for submission: March 1st, 2024 - Notification of acceptance: April 12th, 2024 - Camera-ready papers due: April 26th, 2024 - Vipra 2024 Workshop: May 27th, 2024 (in conjunction with EuroVis 2024) All submission deadlines are at 23:59 GMT on the date indicated. Organizers ---------- Alessio Arleo, TU Wien Stef van den Elzen, Eindhoven University of Technology Tatiana von Landesberger, Universität Köln Luise Pufahl, TU München - Heilbronn Jana-Rebecca Rehse, Universität Mannheim Francesca Zerbato, Universität St. Gallen

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