October 2022 - Infovis

REMINDER: Call for Macroscope Tools for the Places & Spaces: Mapping Science Exhibit (2022) - Deadline is Feb 15, 2022
by Borner, Katy 10 Jan '24

10 Jan '24

Happy New Year 2022! Call for Macroscope Tools for the Places & Spaces: Mapping Science Exhibit (2022) Please see below for more info. Deadline is Feb 15, 2022. Best regards from Bloomington, k From: Borner, Katy Sent: Wednesday, December 1, 2021 10:17 PM To: 'SOCNET(a)LISTS.UFL.EDU' <SOCNET(a)LISTS.UFL.EDU>; 'SCISIP(a)LISTSERV.NSF.GOV' <SCISIP(a)LISTSERV.NSF.GOV>; 'ASIS&T Special Interest Group on Metrics' <SIGMETRICS(a)listserv.utk.edu>; 'sigmetrics(a)mail.asis.org' <sigmetrics(a)mail.asis.org>; 'infovis(a)infovis.org' <infovis(a)infovis.org>; 'POLNET-L(a)LISTSERV.SIU.EDU' <POLNET-L(a)LISTSERV.SIU.EDU>; 'ieee_vis(a)listserv.uni-tuebingen.de' <ieee_vis(a)listserv.uni-tuebingen.de> Cc: Record, Elizabeth <recorde(a)indiana.edu>; Theriault, Todd Nicholas <ttheriau(a)indiana.edu> Subject: Call for Macroscope Tools for the Places & Spaces: Mapping Science Exhibit (2022) - Deadline is Feb 15, 2022 Dear all, we are seeking engaging, relevant, interactive data visualizations of science and technology developments that help people make smarter decisions in their personal and professional lives. The Call for Submissions has been posted at https://scimaps.org/call-for-macroscopes and we welcome your help in spreading the word. Submissions are due by Feb 15, 2022. More information on maps and macroscopes included in the exhibit can be found at https://scimaps.org interviews with select map and macroscope makers are at https://scimaps.org/learning-center/maker-videos. Call for Macroscope Tools is below. Thank you and kind regards, Katy Bӧrner, Lisel Record, & Todd Theriault Curators, Mapping Science exhibit, http://scimaps.org 2022 Call for Macroscopes Background and Goals The Places & Spaces: Mapping Science exhibit is designed to open people’s minds and hearts to the value, complexity, and beauty of science and technology. We are inviting authors of interactive data visualizations, also called macroscopes, to submit their work for inclusion in the Places & Spaces: Mapping Science exhibit. IMPORTANT DATES Submissions due: Feb 15, 2022 Mapmakers notified: Apr 1, 2022 Submit final entries: May 30, 2022 Ready for display: Aug 31, 2022 Macroscopes are software tools that help us focus on patterns in data that are too large or complex to see with the naked eye. The idea of the macroscope was explored in 1979 by Joël de Rosnay in a book titled The Macroscope: A New World Scientific System [1]. To meet the challenges posed by the rapidly increasing abundance, diversity, and complexity of information, de Rosnay proposed the macroscope, a tool for observing “what is at once too great, too slow, and too complex for our eyes.” Like microscopes and telescopes, macroscopes can startle us when we point them at objects we thought we already knew. Through their lens, we may see familiar structures in a new light or gain a fresh perspective on an old process. This year’s call for submissions to the Places & Spaces exhibit celebrates the decidedly scopic feature of macroscopes. Simply put, we are looking for interactive visualizations that disrupt our old habits of seeing, that challenge our common patterns of perception in order that we might see something anew. To do so, they may use novel datasets and algorithms or employ innovative user interface designs. Places & Spaces is a traveling exhibit that currently features 100 maps and 28 interactive macroscopes from a wide range of disciplines. Since 2005, the exhibit has traveled to 28 countries and appeared in various formats at over 382 venues and events, including the Davos Economic Forum, National Academy of Sciences, and the New York Public Library. News coverage has appeared in Nature, Science, USA Today, and Wired. References [1] de Rosnay, Joël. 1979. The Macroscope: A New World Scientific System. New York: Harper & Row. Submission Details Interactive data visualizations designed for desktop, mobile, touch-enabled, and/or large (e.g., tiled wall) devices are all welcome. To be incorporated into the exhibit kiosk, macroscopes must be 1) web-based, 2) touch-enabled, 3) allowed to run inside an iframe element, 4) have CORS enabled for http://idemo.cns. iu.edu, and 5) served over HTTPS. Macroscopes will be deployed on a 46” multi-touch 1920 x 1080 display running Ubuntu 20.04 LTS and Chrome 91. Each macroscope should be fully functional for at least two years. Macroscopes might be deployed using other hardware, please contact the curatorial team to discuss options. Macroscope authors should be available to work with the exhibit staff over a period of three months to prepare the macroscopes for public display and travel. Each entry must be submitted by February 15, 2022, and needs to include: * Title of macroscope * Author(s) name, email address, affiliation, mailing address, and social media handles * Link to online site that features the macroscope tool or to executable code * Macroscope tool description (300 words max): user group and needs served, data used, data * analysis performed, visualization techniques applied, and main insights gained. Please also outline * the vision that this new macroscope embodies. * References to relevant publications or online sites that should be cited, links to related projects or * works * Describe the impact your data visualization has had on public awareness, social policy, or political * action. * Submit entries via https://forms.gle/wPr5X16Cm5MwDb7c9 Review Process Submissions will be reviewed and evaluated by the exhibit advisory board (listed below) in terms of their: * Scientific rigor * Value as a tool for data exploration * Ability to provide new, actionable insights * Relevance for a general audience Final Submission Authors of winning entries will be contacted by April 1, 2022 and invited to submit final entries by May 30, 2022. Each final entry consists of: * Link to online site that features the macroscope tool or link to executable code. This must be a * fully self-contained version of the macroscope that can operate without any outside links and * without opening new windows. * Biographies for all authors (100 words each) * High resolution author portraits that are no smaller than 360 x 450 pixels, or 1.2” x 1.5” at 300 dpi. * Signed copyright and reproduction agreement Authors are welcome to use the expertise and resources of the exhibit curators and designers. The macroscopes are expected to be ready for display by August 31, 2022. Exhibit Advisory Board * Gary Berg-Cross, Cognitive psychologist * Kevin Boyack, President, SciTech Strategies Inc. * Donna Cox, Advanced Visualization Laboratory, University of Illinois at Urbana-Champaign * Bonnie DeVarco, Media X, Stanford University * Ingo Günther, Karlsruhe University of Art and Design * Francis Harvey, Cartography and Visual Communication, Leipzig University * Peter A. Hook, Associate Law Librarian, University of Notre Dame * Vincent Lariviére, Professor of Information Science, Universitè de Montrèal * Lev Manovich, Computer Science, The Graduate * Elijah Meeks, Chief Visualization Officer & Co-founder, Noteable * André Skupin, Geography, San Diego State University * Olga Subirós, Big Bang Data, Olga Subiros Studio * Stephen Uzzo, Chief Scientist, New York Hall of Science * Caroline S. Wagner, Wolf Chair in International Affairs, The Ohio State University * Benjamin Wiederkehr, Interactive Things Please feel free to send any questions you might have regarding the judging process to Todd Theriault (ttheriau(a)indiana.edu<mailto:ttheriau@indiana.edu>) and use the subject heading “Macroscope Inquiry.” -- Katy Borner Victor H. Yngve Distinguished Professor of Engineering and Information Science Director, CI for Network Science Center, http://cns.iu.edu<http://cns.iu.edu/> Curator, Mapping Science exhibit, http://scimaps.org<http://scimaps.org/> ISE and ILS, Luddy School of Informatics, Computing, and Engineering, Indiana University Luddy Hall 4018, 700 N. Woodlawn Ave, Bloomington, IN 47408, USA Phone: (812) 855-3256 Twitter: @katycns

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Call for Nominations: IEEE VGTC Visualization Awards
by Chuck Hansen 19 Apr '23

19 Apr '23

The IEEE VGTC Visualization Awards program recognizes and honors individuals who have made a significant contribution to the community through their research and/or service. Furthermore, we seek out nominations of individuals that enable us to recognize both the diversity of individuals, as well as diversity of contributions, from the community at large. The VGTC Visualization Awards Program has five awards plus induction to the IEEE VGTC Visualization Academy: VGTC Visualization Dissertation Award The Doctoral Dissertation Award recognizes outstanding academic research and development in the field. VGTC Visualization Significant New Researcher Award The VGTC Significant New Researcher Award recognizes an individual who has made significant recent research contributions in the field. VGTC Visualization Technical Achievement Award The Technical Achievement Award is given each year to recognize an individual for a seminal technical achievement and/or significant contribution in the field. VGTC Visualization Lifetime Achievement Award The Lifetime Achievement Award is given to an individual to honor that person’s lifetime contribution to the field. VGTC Visualization Service Award The IEEE VGTC Service Award recognizes extraordinary service to the community through the IEEE VGTC and/or the IEEE VGTC Sponsored Conferences and Symposia. VGTC Visualization Academy Selection The IEEE VGTC Visualization Academy is a prestigious academy that highlights the accomplishments of the leaders in the field. The criteria for these awards can be found at: https://tc.computer.org/vgtc/award-criteria Nominations are due by April 30, 2022. Nominations, except Dissertation award, should contain the name of the person nominated, the awards for which they are nominated, the short citation for the award, and a summary that carefully addresses the criteria below while not exceeding 600 words. Dissertation Award nominations should include: (1) The title and abstract of the dissertation, (2) the name of the candidate, (3) the name of the candidate’s primary advisor, (4) the institution where the dissertation was defended, (5) the date of the dissertation defense, (6) A 1-2 page summary of the significance and impact of the dissertation research, (7) an electronic copy of the full dissertation, or a pointer to where it can be obtained, (8) one letter of recommendation, up to 2 pages in length, ideally from the candidate’s primary advisor, and (9) a list of publications, awards, and other recognition by peers produced from the dissertation work. To nominate someone for any of these awards or the academy, please visit: https://tc.computer.org/vgtc/vis-award-nominations/ If you have any questions, please contact: Chair of the VGTC Awards Program for Visualization Charles Hansen, University of Utah vgtc-vis-awards(a)vgtc.org

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Call for Papers: Special Issue on Visualization and Decision Making Design Under Uncertainty
by Nadia Boukhelifa 27 Nov '22

27 Nov '22

Call for Papers: Special Issue on Visualization and Decision Making Design Under Uncertainty CG&A seeks submissions for this upcoming special issue https://www.computer.org/digital-library/magazines/cg/cfp-visualization-des… <https://www.computer.org/digital-library/magazines/cg/cfp-visualization-des…> Important Dates --- Submissions due: 6 February 2023 Publication: September/October 2023 Visualization has become a core component of any decision or risk analysis pipeline, and tools for creating visualizations are quickly becoming more and more accessible. In addition, the visual literacy of the general public has been increasing due to the pervasiveness of visualizations in everyday life. As the appetite for decision making tools grows, so does the need to convey error, confidence, missing, or conflicting data visually. However, practices around uncertainty visualization remain domain-specific, rooted in convention, and in many instances, absent entirely. The goal of this special issue is to build a foundation of accessible, practical knowledge that practitioners and researchers alike can rely on in addressing challenges related to uncertainty in visualizations. We seek high-quality papers that highlight challenges, elucidate solutions, and provide guidelines for handling uncertainty. Topics of interest include: Uncertainty visualization algorithms Novel encodings of uncertainty for high dimensional data Uncertainty visualization algorithms for ML and ML for uncertainty visualization Role of uncertainty visualization in decision making Ethical concerns for inclusion of uncertainty Effectiveness and efficiency of uncertainty visualization techniques Uncertainty awareness, communication, and trust Uncertainty visualization software HCI and design with uncertainty Visual expressions of uncertainty quantifications and propagation Application case studies using uncertainty visualization Perceptual issues involving uncertainty and decision making Submission Guidelines --- For author information and guidelines on submission criteria, please visit the CG&A Author Information page <https://www.computer.org/csdl/magazine/cg/write-for-us/15470?title=Author%2…>. Please submit papers through the ScholarOne system <https://mc.manuscriptcentral.com/cs-ieee>, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. Questions? -- Contact the guest editors at cga5-2023(a)computer.org <mailto:cga5-2023@computer.org> Guest Editors Nadia Boukhelifa; INRAE, Paris, FR Chris R. Johnson; University of Utah , Salt Lake City, UT, US Kristi Potter; NREL, Golden, CO, US

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Conferences: IEEE VR 2023 call for all programs
by IEEE VR Publicity 29 Oct '22

29 Oct '22

Dear Recipients, The call and deadlines for IEEE VR 2023 are now online on the website: https://ieeevr.org/2023/ The conference welcomes your contribution for demos, posters, contest, workshops, and so on! -- Call for Workshops <https://ieeevr.org/2023/contribute/workshops/> (Proposals and CFPs due Dec.2) Call for Doctoral Consortium <https://ieeevr.org/2023/contribute/doctoral-consortium/>(Submission deadline: Dec.12) Call for Posters <https://ieeevr.org/2023/contribute/posters/>(Submission deadline: Dec.18) Call for 3DUI Contest <https://ieeevr.org/2023/contribute/3dui-contest/>(Submission deadline: Dec.22) Call for Research Demos <https://ieeevr.org/2023/contribute/demos/>(Submission deadline: Jan.6) Call for Tutorials <https://ieeevr.org/2023/contribute/tutorials/>(Submission deadline: Jan.9) Call for Panels <https://ieeevr.org/2023/contribute/panels/>(Submission deadline: Jan.12) Call for Videos <https://ieeevr.org/2023/contribute/videos/>(Submission deadline: Jan.13) Call for Student Volunteers <https://ieeevr.org/2023/contribute/studentVolunteers/>(Submission deadline: Feb.3) IEEE VR 2023, the 30th IEEE Conference on Virtual Reality and 3D User Interfaces will be held from March 25th through March 29th, 2023 at the Pudong Shangri-La Hotel in Shanghai, China. Our goal is to provide the best hybrid conference experience for physical and virtual attendees, learning from the historical footsteps of the successfull physical or virtual experience of past IEEE VR conferences <https://ieeevr.org/2023/past-conferences/>. Come join us for an unforgettable experience and explore the virtuality continuum in the premier event covering extended reality featuring oral presentations, posters, research demos, tutorials, and workshops. The VR community members who are interested to do volunteer work for the IEEE VR conference please fill a form of volunteer information <https://forms.gle/BjYe1fkdwapZuzEt5> here. Thank you for your attention to IEEE VR 2023 ! [image: beacon]

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Three CS Faculty Positions - HCI/CG/VR/VIS
by Christopher Collins 22 Oct '22

22 Oct '22

Ontario Tech is hiring three tenure track positions, including a focus on HCI, Computer Graphics, and immersive tech/VR. The university is undergrad focused and smaller in scale but offers a full CS graduate program, beautiful facilities and lab spaces, and is tech-driven across all the programs, leading to great opportunities for cross-disciplinary collaboration. Official announcement follows. Chris https://ontariotechu.csod.com/ux/ats/careersite/4/home/requisition/329?c=on… Ontario Tech University (University of Ontario Institute of Technology), located in Oshawa, Ontario and in the Greater Toronto Area (GTA), is a vibrant growing city, ideally located to enable collaboration with industry partners and other universities in Toronto and the surrounding area. Our innovative programs, and technology-enriched learning environment create an atmosphere of academic excellence. Ontario Tech promotes social engagement, fosters critical thinking, and integrates outcomes-based learning experiences inside and outside the classroom. We invite you to consider joining our globally-trained faculty as we further our reputation for providing a leading-edge learning environment and delivering innovative research. The Faculty of Science at Ontario Tech University invites applications for three tenure-track faculty positions in Computer Science at the rank of assistant professor, with a starting date as early as January 1, 2023 or July 1, 2023 (negotiable). Applications from exceptional candidates in all areas of Computer Science will receive full consideration. We especially encourage applications from women, Indigenous peoples and other under-represented groups. Expertise in any of the following areas will be considered an asset: Computer Graphics and Digital Media, Human Computer Interaction (including immersive computing and VR research), Software Engineering, Machine Learning (especially with applications in Natural Language Processing), and Data Science. Candidates should have obtained or be near completion of a PhD in Computer Science or related fields. Ideal applicants will be able to exhibit a strong academic background, a record of excellence in research, and evidence of or strong potential for effective teaching. In addition, candidates should possess excellent English language skills demonstrating an ability to ensure strong, two-way communications on an ongoing basis that contribute to collaborative/collegial relationships with faculty, staff, students, and the community at large. The successful candidate will be expected to follow a 40% Research, 40% Teaching and 20% Service workload each year. They will be expected to develop successful and innovative externally-funded research programs which support peer-reviewed publications, training of graduate students at both masters and PhD level, and academic and industrial collaborations. They will also be responsible for teaching at both the undergraduate and graduate level and contributing to curriculum development. Given Ontario Tech's commitment to providing a technology-enhanced learning environment, we seek individuals who are interested to explore and develop effective pedagogical applications of technology in Computer Science education. The Faculty of Science offers a vibrant and dynamic academic environment with a strong track record of high impact research and innovative teaching. The Computer Science BSc (Honours) program includes specializations in Digital Media and Data Science as well as a co-op option. The Computer Science MSc and PhD programs are cross-Faculty and are supported by over 20 research faculty, including three Canada Research Chairs. This position falls within the bargaining unit represented by the UOIT Faculty Association<https://www.uoitfa.ca/> and will be subject to the terms and conditions of the collective agreement between the University and the UOIT Faculty Association<https://www.uoitfa.ca/>. The collective agreement may be found on the Human Resources section of our website. Starting salary will be commensurate with experience and annual salary increases are administered as per the terms outlined in the collective agreement. Review of applications will begin on November 8, 2022 and will continue until a suitable candidate is found. Applicants should submit in electronic format a covering letter; a curriculum vitae including a list of publications; a statement of teaching interests/experience; an outline of their present research program; a brief future research plan; and the names of three referees through the Ontario Tech website. Ontario Tech University is an equal opportunity employer and welcomes applications from all qualified candidates, while especially encouraging applications from women, members of visible minorities, Indigenous peoples, persons with disabilities, and persons of any sexual orientation, gender identity, and gender expression. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents and Indigenous Peoples in Canada will be given priority. Ontario Tech University respects people's different needs and therefore will take all reasonable steps to ensure accommodation for applicants where appropriate. The University is also committed to ensuring that confidentiality is maintained throughout all aspects of the recruitment cycle. Prior to May 1, 2022, the university required all students, faculty, staff and visitors (including contractors) to be fully vaccinated against Covid-19 as defined by our mandatory vaccine directive.<https://usgc.ontariotechu.ca/policy/policy-library/policies/administrative/…> This directive was paused, effective May 1, 2022, but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts. All employees of the university will be expected to comply with the requirements of this directive. The university recognizes faculty and staff may require accommodations. We are committed to an accommodation process in which individualized needs (e.g. for medical and religious/creed grounds) are appropriately addressed under the Ontario Human Rights Code. A COVID-19 Vaccination Accommodation Application Form<https://shared.ontariotechu.ca/shared/department/communications/documents/r…> is available. If you require accommodation, please contact Julie Day<https://hr.ontariotechu.ca/about-us/your-hr-team.php>, Health and Disability Management Specialist. For more information about the universities policies for accommodating employees with disabilities please review the university's Accessibility Policy<https://usgc.ontariotechu.ca/policy/policy-library/policies/legal,-complian…> The university acknowledges the lands and people of the Mississaugas of Scugog Island First Nation which is covered under the Williams Treaties. We are situated on the Traditional Territory of the Mississaugas, a branch of the greater Anishinaabeg Nation which includes Algonquin, Ojibway, Odawa and Pottawatomi. Job Location: Oshawa, Ontario, Canada Expected Start Date: January 1, 2023 or July 1, 2023 (Flexible)

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Several positions available
by Zhao, Jiayan 19 Oct '22

19 Oct '22

Greetings all, We have some interesting positions available that I hope some of you are interested in. Or, maybe you find them interesting for your networks, feel free to share them widely; thank you. We have two positions related to XR, one is a science manager for our new Lab, WANDER, the other is a research position connecting XR, spatial sciences, and, importantly, AI. For the latter position, we have plans to apply for funding from NWO (main Dutch funding organization) if we find the right candidate (needs to be an AI focus). Tenure track AI, Spatial Science, XR (November 5th): Assistant or Associate Professor in Artificial Intelligence for (Geo) Spatial Data Science and eXtended Realities - WUR<https://www.wur.nl/en/research-results/chair-groups/environmental-sciences/…> Science Manager WANDER lab (October 24th): Senior Science Manager eXtended Realities and the WUR Metaverse - WUR<https://www.wur.nl/en/vacancy/senior-science-manager-extended-realities-and…> We also have a position focussing on Remote Sensing and AI in our group (November 5th). Assistant or Associate Professor in Artificial Intelligence for Remote Sensing Applications<https://www.wur.nl/en/vacancy/assistant-or-associate-professor-in-artificia…> And another position from our colleagues in Applied Spatial Research (October 31st): Senior researcher Information Science in the environmental domain - WUR<https://www.wur.nl/en/vacancy/senior-researcher-information-science-in-the-…> Thank you Jiayan Ps. We are always looking for postdocs in the XR/serious games realm. If you are interested, please feel free to contact Alexander Klippel (alexander.klippel(a)wur.nl<mailto:alexander.klippel@wur.nl>). Jiayan Zhao, PhD Assistant Professor Laboratory of Geo-information Science and Remote Sensing Wageningen University & Research Email: jiayan.zhao(a)wur.nl<mailto:jiayan.zhao@wur.nl>

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EuroVis 2023 Call for Papers
by Tobias Schreck 15 Oct '22

15 Oct '22

---------------------------- EuroVis 2023 Call for Papers ---------------------------- https://conferences.eg.org/eurovis2023/for-submitters/full-papers/ With this call for papers, we invite submission of high-quality papers that will set the standard and stimulate future trends in the field of visualization and visual analytics. Accepted full papers will be published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. All accepted papers will be presented orally at the conference. Suggested topics include, but are not limited to: • Techniques: novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. All sub-areas of data visualization and visual analytics are welcomed, including high-dimensional, time-series, spatial, geographic, text, hierarchical, and network data. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization). • Systems: new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems. • Applications & Design Studies: novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical sciences, life sciences, social sciences, engineering, arts, sports, and humanities. • Evaluation & Empirical Research: Comparative evaluation of competing visualization approaches; controlled experiments to inform visualization best practices; longitudinal and qualitative studies to understand user needs, visualization adoption, and use. • Theory: models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation. For a wider range of paper types, please see "Broadening Intellectual Diversity in Visualization Research Papers" by B. Lee et al.: http://cmci.colorado.edu/visualab/papers/19-CGA-ContributionTypes.pdf --------------- Important Dates --------------- Abstract deadline: November 25, 2022 (Friday) Full paper deadline: December 2, 2022 (Friday) Reviews available, rebuttal start: January 26, 2023 (Thursday) Rebuttal deadline: January 31, 2023 (Tuesday) First Round Notification: February 20, 2023 (Monday) Revised Submission: March 10, 2023 (Friday) Final Notification: March 24, 2023 (Friday) Camera Ready Version: April 14, 2023 (Friday) All deadlines are at 23:59 GMT on the date indicated. ----------------------- Submission Instructions ----------------------- The maximum length for submitted papers to the full papers track is 10 pages (in Computer Graphics Forum (CGF) style, including all images, but excluding references). Authors are encouraged to use supplementary documents to provide extra content. Papers exceeding the maximum allowed number of pages will be automatically rejected. Submissions must be made using the Computer Graphics Forum style, using the conference LaTeX template for full papers which includes a sample document explaining the required format. Please download the template from https://conferences.eg.org/eurovis2023/for-submitters/full-papers/. Authors have the option to submit their papers anonymously. In contrast to previous years, double-blind reviewing is optional, not required: authors may choose to disclose their identities to the reviewers. The reviewing process does not consider anonymity as a factor. The process will attempt to preserve anonymity of authors of anonymized submissions. However, the program committee, which is responsible for half of the reviews, will know the authors of submissions reviewed by them. Authors have the option of submitting additional material with their submissions. Supplementary materials, such as videos and supporting data, are encouraged. For papers that have previously been reviewed for other venues and have been rejected or withdrawn, the authors are strongly encouraged to provide the original submission with a cover letter describing the changes they have made to comply with reviewers’ comments and requests. All full papers accepted to EuroVis appear in a special issue of Computer Graphics Forum, containing the conference proceedings, and will appear at the same time in the Eurographics digital library. EuroVis submissions and papers are subject to the pre-print and self-archiving policies of the Computer Graphics Forum journal. Details are available from the journal web site: https://authorservices.wiley.com/author-resources/Journal-Authors/open-acce… Given the uncertainty due to the pandemic, further details will be communicated regarding possible Open Access charges. In addition, a video presentation of all full papers accepted to EuroVis is required ahead of the conference. Abstracts and full papers are submitted using the Precision Conference System (PCS): https://new.precisionconference.com/eurovis23a. Please select Society: Eurographics, Conference/Journal: EuroVis 2023, Track: EuroVis 2023 Papers. Submission of an abstract is mandatory by the abstract deadline, with completed papers due by the full paper deadline. Submissions will not be accepted if an abstract is not submitted by the abstract deadline. Abstract submissions require the title, authors, paper type, abstract, and keywords in the form. The remaining fields (the document, additional material) are submitted by the full paper deadline. Please note that EuroVis accepted papers are published as a regular-length journal article, so submitting just an abstract is not sufficient. Submitters need to choose keywords and categories appropriate for their paper as this information is used in reviewer selection. ------------------ Full Papers Chairs ------------------ Daniel Archambault, Swansea University, UK Roxana Bujack, Los Alamos National Laboratory, USA Tobias Schreck, Graz University of Technology, Austria For any questions concerning full paper submissions please contact the full paper chairs at: fullpapers(at)eurovis.org.

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Assistant/Associate Professor in Interactive Media and Computer Graphics at Purdue University
by Chen, Yingjie 13 Oct '22

13 Oct '22

Purdue University is a public land grant institution that is world-renowned for its research. The Department of Computer Graphics Technology (CGT) is one of six units in the Purdue Polytechnic Institute. CGT grants Bachelor's, Master's, and Doctoral degrees. The department includes majors in game development and design, animation and visual effects, data visualization, web programming and design, and UX design. For additional information, please visit: https://polytechnic.purdue.edu/cgt. The Department of Computer Graphics Technology at Purdue University is seeking to fill one tenure/tenure-track position on the West Lafayette, Indiana campus, beginning in August 2023. CGT balances undergraduate and graduate education with a strong research and engagement agenda. We are a research-intensive department focused on applied research informed by close engagement with the industry. Qualifications: An earned PhD in a field related to interactive media and computer graphics such as computer science, informatics, computer engineering, or similar, completed by August 1, 2023. Focus areas may include interactive and human-centered computing, AR/VR/xR, physical computing, computer graphics, information sciences, HCI, computational media, information design, tangible and embodied interaction, and visualization. Job Description: The Department of Computer Graphics Technology at Purdue University (CGT) seeks a tenure-track Assistant or Associate Professor in the field of interactive media and computer graphics. The faculty member will engage in research and teaching in some of the following fields: interactive and human-centered computing, AR/VR/xR, physical computing, computer graphics, information sciences, HCI, computational media, information design, tangible and embodied interaction, and visualization. Candidates should be prepared to teach programming, application development, or related skills. Duties: Advising master's and doctoral students, developing and conducting funded research programs, teaching and developing graduate and undergraduate courses, providing service and engagement work, and mentoring are expected. Application Process: All candidates need to apply through the Success Factors link found here: https://careers.purdue.edu/job-invite/22422/. Review of applications will begin no later than November 11, 2022 and will continue until the position is filled. Interested candidates are requested to submit a cover letter, CV, statement of teaching philosophy, research statement, a diversity statement, and a list of three professional references with contact information. Purdue University, the Purdue Polytechnic Institute and the Department of Computer Graphics Technology are committed to free and open inquiry in all matters. Candidates are encouraged to address in their cover letter how they are prepared to contribute to a climate that values free inquiry and academic freedom. Purdue University's Department of Computer Graphics Technology is committed to advancing diversity in all areas of faculty effort, including scholarship, instruction, and engagement. Candidates should address at least one of these areas in a separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion. A background check will be required for employment in this position. Any questions about this position should be sent to the search committee chair: Dr. Yingjie Chen, victorchen(a)purdue.edu<mailto:victorchen@purdue.edu> Department of Computer Graphics Technology Polytechnic Institute Purdue University Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

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Three Faculty Positions in Data Science, AI, Interactive Decision Making, Human Computer Teaming, Visual and Data Analytics
by Ebert, David 13 Oct '22

13 Oct '22

University of Oklahoma, Norman Campus Three Faculty Positions: Human-Computer Teaming and Interactive Decision Making; Artificial Intelligence Architectures; and Trustable Artificial Intelligence Positions Available: As part of a multiyear effort to grow world-class data science and data-enabled research across The University of Oklahoma (OU), the Gallogly College of Engineering (GCoE), Department of Electrical and Computer Engineering and/or Department of Computer Science, in partnership with the Dodge Family College of Arts and Sciences (CAS), welcomes applications for a cluster of three (3) faculty positions from candidates whose experiences and interests have prepared them to be an integral contributor engaged in scientific discovery, developing talent, solving global challenges, and serving our society. This year we are focusing on data science foundational and enabling technologies. In subsequent years, we’ll be hiring additional data science and data-enabled research faculty. The University, as part of its Lead On, University strategic plan has committed to creating world-class capabilities in data science, artificial intelligence (AI), machine learning (ML), and data-enabled research. In July 2020, the University established the Data Institute for Societal Challenges (DISC) to grow convergent data-enabled research to solve global challenges. DISC currently has over 130 faculty members across OU campuses, nine communities of practice, seed funding programs, and an extended network of approximately 300 data scientists and data-enabled researchers across many disciplines (https://www.ou.edu/disc) Three positions: 1) Professor or Associate Professor in Human-Computer Teaming and Interactive Decision Making: Humans and computers have complementary knowledge and skillsets. To solve challenging problems, we need to team this expertise together for effectiveness, reliability, efficiency, and adoption of many data-driven solutions. This area is cross-disciplinary, and we seek a senior faculty member with expertise in one or more of human-computer teaming, visualization, visual analytics, human-machine interaction, decision theory, HCI, human factors and industrial engineering, or cognitive psychology. This faculty member will be a vital core team member in data science and data-driven decision making with a home department in ECE and possible joint appoint in ISE, Computer Science, Psychology, and/or Political Science. Applications should be submitted online via Interfolio at  http://apply.interfolio.com/112374. Inquires can be addressed to Professor David Ebert, chair of the search committee at ebert(a)ou.edu<mailto:ebert@ou.edu>. 2) Assistant Professor in AI Architectures: We seek to recruit a transdisciplinary faculty member with expertise in one or more of the following areas: scalable, high-performance software and hardware architectures for AI and advanced analytics, advanced and domain-tailored data science, AI (trustable, science-based, and human-guided), and human-computer teaming. Specific areas of interest include probabilistic, neuromorphic, and novel architectures, software pipelines and operating system architectures to support high-performance analytics, and enable real-time trustable AI and decision-making.  Since traditional computing architectures are still based on solving problems from the 20th century, new computing hardware and software architectures are needed to optimize computing for AI and machine learning and many new approaches to science and engineering. This faculty member will grow and complement work in computer engineering, computer science and the new OU quantum center (CQRT) with a home department in ECE and possible joint appointments where appropriate. Applications should be submitted online via Interfolio at  http://apply.interfolio.com/112359.  Inquires can be addressed to Professor David Ebert, chair of the search committee at ebert(a)ou.edu<mailto:ebert@ou.edu>. 3) Assistant Professor in Trustable AI. We are seeking an Assistant Professor in Trustable AI. Human-guided, science-based, explainable AI (xAI) are key areas to ensure AI is understandable, reliable, and robust for real-world applications. This faculty member will grow our expertise in one of the most rapidly developing and vital fields of data science, with a primary home in ECE and potentially joint appointments in CS, Psychology, and ISE. We seek a faculty member with expertise in one or more of science-based AI or machine learning (ML), human-guided AI/ML, explainable AI/ML, and closely related topics.  This faculty member will be a vital core team member in data science, AI, and data-driven convergent research solutions to global challenges. This faculty member will provide vital capabilities that will empower research in all four strategic verticals and grow the data science ecosystem on campus to create the critical mass in data science needed for the success of the university’s strategic plan, Lead On, University. Applications should be submitted online via Interfolio at http://apply.interfolio.com/112372.  Inquires can be addressed to Professor David Ebert, chair of the search committee at ebert(a)ou.edu<mailto:ebert@ou.edu>. Gallogly College of Engineering:  The mission of the GCOE is to foster creativity, innovation and professionalism through dynamic research, development and learning experiences.  The Gallogly College of Engineering is home to the Data Science and Analytics Institute (https://www.ou.edu/coe/dsai) The DSAI provides undergraduate and graduate certificates, Master’s degrees, and PhD degrees in data science and analytics as well as offering workforce upskilling to industry partners. Faculty members in GCoE and across campus participate in the DSAI. The University of Oklahoma:  OU is a Carnegie-R1 comprehensive public research university known for excellence in teaching, research, and community engagement, serving the educational, cultural, economic and healthcare needs of the state, region, and nation from three campuses: Norman, Health Sciences Center in Oklahoma City and the Schusterman Center in Tulsa. OU enrolls over 30,000 students and has more than 2700 full-time faculty members in 21 colleges.  Norman is a vibrant university town of around 113,000 inhabitants with a growing entertainment and art scene. With outstanding schools, amenities, and a low cost of living, Norman is a perennial contender on “best place to live” rankings. Visit http://www.ou.edu/flipbook and http://soonerway.ou.edu<http://soonerway.ou.edu/> for more information. Within an easy commute, Oklahoma City features a dynamic economy and outstanding cultural venues adding to the region’s growing appeal. Qualifications Successful candidates must have the interest and ability to contribute significantly to the advancement of these fields and develop a nationally recognized program of sponsored research; teach at both the undergraduate and graduate levels; supervise graduate students and postdoctoral fellows. A Ph.D. in computer science, engineering, or related discipline is required. Application Instructions Confidential review of applications will begin October 1, 2022. Candidates are invited to submit a letter of interest, names of three references who will be contacted only upon approval from the applicant, curriculum vitae, and brief (~2-3 pages) statements of interest regarding 1) research, 2) teaching, and 3) service. The research statement should summarize your prior contributions to research and your goals for developing a research program at OU. The teaching statement should summarize past instructional and mentorship experiences, and plans/goals for teaching at OU (including existing and proposed courses) and advising a varied cohort of undergraduate and graduate students. The service statement should describe your vision for internal service to the academic unit, the College and the University, and for external service to our scientific community and other stakeholders. Candidates are requested to submit their applications to the appropriate position listed above and inquiries should be directed to the search committee chairs, also listed above. Inquiries should be directed to the search committee chair: Dr. David S. Ebert, Gallogly Chair Professor School of Electrical and Computer Engineering and School of Computer Science Associate Vice President of Research and Partnerships Director, Data institute for Societal Challenges University of Oklahoma Email: ebert(a)ou.edu<mailto:ebert@ou.edu> Equal Employment Opportunity Statement The University of Oklahoma, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to:  admissions, employment, financial aid, housing, services in educational programs or activities, or health care services that the University operates or provides. Diversity Statement   The University of Oklahoma is committed to achieving a diverse, equitable and inclusive university community by recognizing each person's unique contributions, background, and perspectives. The University of Oklahoma strives to cultivate a sense of belonging and emotional support for all, recognizing that fostering an inclusive environment for all is vital in the pursuit of academic and inclusive excellence in all aspects of our institutional mission. Mission of the University of Oklahoma The Mission of the University of Oklahoma is to provide the best possible educational experience for our students through excellence in teaching, research and creative activity, and service to the state and society. 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 Vice President for Publications, IEEE Computer Society 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu<mailto:ebert@ou.edu>

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Two Postdoc Positions in Visual Analytics, Data Science and Trustable AI at University of Oklahoma
by Ebert, David 11 Oct '22

11 Oct '22

We invite applications for two postdoctoral researchers in visual analytics, data science, machine learning, trustable AI, social media analytics, and big data analytics across a wide spectrum of application areas. We are the OU Data Science Institute for Societal Challenges (DISC Center). The DISC Center is a campus-wide institute in the Vice President for Research and Partnerships office. Our mission is to empower transdisciplinary research and collaboration to drive convergent solutions to societal challenges in Oklahoma, the nation, and the world through data science research, tools and capabilities.  The Data Institute for Societal Challenges convenes diverse teams to collaborate to solve some of the world’s most pressing problems and achieve a lasting societal impact. These communities are: * Foundational Data Science * Community and Societal Transformation * The Future of Health * Environment, Energy, and Sustainability * Aerospace, Defense and Global Security DISC works closely with local and international collaborators, including social media experts, sustainability experts, agricultural producers, health and public safety researchers, economists, first responders, computational scientists, businesses, and researchers in science, engineering, and economics. Both beginning and senior postdoctoral candidates are encouraged to apply. Excellent oral and written communication skills are mandatory. For more information, please send your CV and a one-page research statement to Dr. David Ebert (ebert(a)ou.edu<mailto:ebert@ou.edu>) or Dr. Gopichandh Danala (danala(a)ou.edu<mailto:danala@ou.edu> ). Applications will be reviewed on a rolling basis until the positions are filled. If you are attending IEEE VIS, let’s meet and discuss! David 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 Vice President for Publications, IEEE Computer Society 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu<mailto:ebert@ou.edu>

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