From huerst at uu.nl Sat Oct 1 18:01:04 2022 From: huerst at uu.nl (=?iso-8859-1?Q?H=FCrst=2C_W=2EO=2E_=28Wolfgang=29?=) Date: Sat, 1 Oct 2022 16:01:04 +0000 Subject: [Infovis] AIXRLES - Workshop on AI & XR for learning, education, and serious gaming Message-ID: ================================ AIXRLES - Workshop on AI & XR for learning, education, and serious gaming part of IEEE AIVR 2022, https://mislab.cs.nthu.edu.tw/AIXRLES/ December 12-14, 2022 (online plus on-location satellite events) ================================ In recent years, artificial intelligence (AI), virtual reality (VR) and augmented reality (AR) have started to become widely used in learning and education. This workshop aims to provide an interdisciplinary platform for researchers to discuss their AI and VR/AR-related work in the context of learning, education, and serious gaming from both scientific and educational perspectives. The topics of this workshop include, but are not limited to analyses and applications of the following areas: + Simulations and serious games for learning,education and training. + Immersive sports training and exercising. + Intelligent tutoring systems. + AI-based learning performance monitoring and evaluation. + Behavior analysis in the context of training and learning. + AI models of gaze analysis, emotion analysis, and mental states analysis. + Learning/training data visualization and analysis in XR. + Development of new application scenarios and new prospects utilizing AI and/or XR in the context of learning. *SUBMISSIONS* We invite researchers and practitioners to submit their work in the form of a scientific technical paper or an application- or use-case centered paper. *Technical papers* should be 4-8 pages long (excluding references) and describe original research of new ideas, analyses, or scientific studies related to AI/XR and learning. Preliminary results or prototype implementations are welcome as well. *Application papers* should be 2-6 pages long (excluding references) and do not necessarily have to contain original research, but can, for example, describe best practices, new usage scenarios, and creative ideas of AI and XR usage in learning, training and education. Accepted papers will be published and archived in the IEEE Xplore Digital Library. *IMPORTANT DATES* + Paper submission deadline: October 16, 2022 + Acceptance notifications: October 24, 2022 + Camera-ready paper deadline: October 31, 2022 + Conference: December 12-14, 2022 For submission details please refer to the workshop's website at https://mislab.cs.nthu.edu.tw/AIXRLES/ *VENUE & DATES* The workshop will take place during the IEEE AIVR conference (Dec 12-14, 2022). Due to the ongoing COVID pandemic and expected travel restrictions, the event will be held virtually. If feasible, it will be complemented with on-location satellite events (ideally at least one in the US, Europe, and Asia). Details about these satellite events will be posted on the IEEE AIVR website. From m.behrisch at uu.nl Mon Oct 3 16:44:13 2022 From: m.behrisch at uu.nl (Michael Behrisch) Date: Mon, 3 Oct 2022 16:44:13 +0200 Subject: [Infovis] Talent Hiring Round for Visual Analytics Product | Developers for GraphPolaris Message-ID: Dear VIS community, This mailing list is typically used for sharing academic updates and job openings. In this post, however, it is all about giving a finishing PhD., master student, or (in general) VIS-interested person the opportunity to stay a valuable member in our community. Please, help us to spread the word for finding a research engineer/developer for our academic spin-off GraphPolaris (www.graphpolaris.com). Also, if our core topic (multivariate/multi-layer or knowledge graph analysis) sparks your interest, I would be happy to discuss potential use-cases and/or application-scenarios. With best regards, Michael Behrisch and Remco Chang ============================= Dear all, With this email, I would like to steer your attention to a unique job opportunity and advertise a potentially interesting next step and career entrance opportunity in the ?GraphPolaris Developer Hiring Round 2022?. Our academic spin-off GraphPolaris (www.graphpolaris.com ) is searching for *Front-end/Full-Stack DEVELOPERs who strive with us to remove the frustration and uncertainty of the analysis of complex network datasets*. We firmly believe that data analysis processes should be (more) centered around the person who does the analysis or makes the business decisions. A human-centered approach will inevitably lead to more, better, and more sustainable innovations in business and societal settings. Shape Description automatically generated *How and What:*In GraphPolaris, we combine the creativity and common knowledge of the human with the number-crunching capabilities of the machine and *make insights visible, explainable, and auditable through visual interactive analysis interfaces*. Our main product, the Graph Database Explorer, is the logical first manifestation of this credo: We are building a visual graph analytics framework that focuses on easy, explainable, and efficient access to (multivariate) graph databases with better visualization support and a ready-to-use graph ML toolbox. Our unique selling points are (1) a full-fledged, dedicated graph analysis workflow that starts with questions around data quality and schema consistency, evolves (2) around an intuitive query formulation in a no-code visual query editor, and lets the user loop effortlessly through query-refinement and interactive exploration of (3) better visualization techniques than just node-link diagrams. *Who we are:*GraphPolaris was founded by Dr. Michael Behrisch and Prof. Remco Chang. Michael is a Professor for Visual Analytics at the Utrecht University, driven by the motivation to bring good Visualization and Visual Analytics research results into environments (business, public sector, research) where they can make an impact. Michael is experienced in managing and acquiring research projects and worked for six years as a business analyst (startup & technical innovation research for Deutsche Telekom). He coordinates the GraphPolaris team effort, market assessment, outreach tasks, and manages tasks for knowledge transfer activities. Remco Chang is a Professor for Visual Analytics at the Tufts University in Medford, USA, whose research embodies the concept of letting human analysts steer the processing power of the PC through visual interactive interfaces to accomplish explainable, faithful, and usable data analysis results. Remcohas a track record of various high-profile international research grantsand gained startup experience with the Kyrix visualization system in the team of Mike Stonebraker (Touring award winner, Ingres/Postgres). *Where we are: *We are in a seed stage of our startup life, have several MVPs, and concluded a target customer/market analysis. We have received the NWO Takeoff grant for feasibility and initial market studies, the Google Startup Cloud Grant for hosting and operational expenses, and now proudly received the NWO Demonstrator grant for proving Product-Market-Fit. *What we search for: *The task descriptions for this position are manifold, but one requirement is foremost: *We are searching for someone who can breath our vision and understands its impact.* Consider applying if: ?? you have excellent *coding skills* /(must//-haves//: web//or//full stack skills)/and love solving challenging and societally impactful problems. ?? you have *(software) architecture skills* /(nice-to-haves: understanding of Kubernetes and microservice patterns)/ to improve our scalable infrastructure even further. ?? you areinterested in *visual data analytics***/(e.g., with mapbox, deck.gl, pixi//.js, d3.js//)/to improve or design state-of-the-art visual solutions and workflows. ?? you have worked with *graph databases* /(e.g., //with //Neo4j//?s cypher//, Tigergraph//?s GSQL//, or SPARQL)/to store and retrieve multivalue property graph data. *What:*We are searching for full-time developers (1FTE, 38h/week), part-time contracts with more than 20h/week can be requested. Typical hiring conditions under CAO apply. Work will happen in a hybrid setting, fully online is also possible. *How:*Send a personal and engaging motivation letter. State your prior experience, indicate your background and skills, and name potential open-source projects that you have contributed to (and how). *When:*Please send your application documents by 31.10.2022 to info at graphpolaris.com . Also feel free to get in touch with me (Michael Behrisch, m.behrisch at uu.nl ) personally in case of unclarities or questions. Let?s change the world of graph analytics! Dr. Michael Behrisch (http://michael.behrisch.info ) -- Skype Twitter LinkedIn Scholar Scholar Dr. Michael Behrisch | Assistant Professor m.behrisch at uu.nl +31 (0)687 110577 Princetonplein 5 | 3584 CC Utrecht http://michael.behrisch.info From john.stasko at cc.gatech.edu Tue Oct 4 15:45:26 2022 From: john.stasko at cc.gatech.edu (John Stasko) Date: Tue, 4 Oct 2022 09:45:26 -0400 Subject: [Infovis] Faculty positions at Georgia Tech Message-ID: The School of Interactive Computing at Georgia Tech is seeking, among other areas, new faculty specializing in Data Visualization or Visual Analytics this upcoming year. The relevant line from our hiring description states, "We seek applications in the broader areas of Graphics; Artificial Intelligence and Machine Learning (including but not limited to Theory, Computer Vision, and Natural Language Processing); Social Computing; Social Justice, Ethics and Fairness; Data Visualization; Sustainability; and Augmented and Virtual Reality." Data visualization research here at GT is well-established. Our Visualization Group currently includes four faculty members, and we teach multiple vis-focused courses at both the undergraduate and graduate levels.? More details about our group can be found at https://vis.gatech.edu. To learn more about the faculty openings and how to apply, please visit the web page https://ic.gatech.edu/about/faculty-hiring. Applications will be evaluated on a rolling basis starting October 1, 2022, and we definitely encourage earlier applications. Additionally, please feel free to speak with Alex Endert and/or John Stasko who will be attending VIS '22 in Oklahoma City, in order to learn more about the openings. From Cagatay.Turkay at warwick.ac.uk Thu Oct 6 16:09:01 2022 From: Cagatay.Turkay at warwick.ac.uk (Turkay, Cagatay) Date: Thu, 6 Oct 2022 14:09:01 +0000 Subject: [Infovis] EuroVis 2023 - Call for State of the Art Reports, Deadline for sketches: October 21, 2022 Message-ID: Dear colleagues, With this call, we invite submissions of high-quality State of the Art Reports (STAR) to be presented at the EuroVis 2023 conference (https://www.eurovis.org/) and published in the Computer Graphics Forum journal. The EuroVis 2023 conference will be held in Leipzig, Germany on June 12-16, 2023. The call for STARs is included below and further details are on the EuroVis webpage (https://conferences.eg.org/eurovis2023/for-submitters/stars/). The STAR submissions will go through a two-stage process, and the deadline for the first stage, i.e., submissions of STAR sketches of two pages (+references, +bibliography), is just around the corner on **October 21, 2022** and we look forward to receiving your submissions, details below. For any questions, please contact us at stars at eurovis.org Best wishes, Renata, Stefan & Cagatay EuroVis 2023 - Call for State of the Art Reports (STARs) State-of-the-Art Reports (STARs) are intended to provide up-to-date and comprehensive surveys on topics of interest to the visualization research community. We encourage the submission of STARs on topics that have not yet been covered in any recent STAR or other survey [1,2]. We welcome submissions that introduce emerging areas of research that are of relevance and interest to visualization research, as well as proposals on more traditional visualization topics. We also welcome contributions from related disciplines and application areas demonstrating contributions to, or benefits from, the area of visualization including, but not limited to, visual computing, computer graphics, human-computer interaction, virtual reality, image processing, computer vision, psychology, geography, chemistry, computational fluid dynamics, data analysis, computational sciences, medicine, biology, economy, social science, etc. All accepted EuroVis STAR reports will be published in the Computer Graphics Forum journal. Important Dates Submission of STAR Sketch: October 21, 2022 (two pages, +references, +bibliography) Invitation for full STAR submission: November 18, 2022 Submission of full STAR: February 3, 2023 Review notification: Mar 24, 2023 Second round submission: April 21, 2023 Second review notification: May 5, 2023 Camera-ready deadline: May 19, 2023 All deadlines are at 23:59 GMT on the date indicated. Instructions As part of the acceptance process for Computer Graphics Forum, STARs will undergo a multi-stage review process where authors first submit a 2-page STAR Sketch that they receive preliminary feedback on, followed by a full STAR submission. Submission of the STAR Sketch and full report is mandatory and will be conducted using the Precision Conference System (PCS). For detailed paper preparation and submission instructions please refer to the submission guidelines below. Upon acceptance, we aim to schedule each STAR as an approximately 45 minute presentation (subject to the schedule management of the EuroVis 2023 program). In any circumstance, a STAR presentation will be given a longer time slot than that of a full paper. STAR Sketch Submission A STAR Sketch briefly describes the planned STAR by outlining the topic, discussing its relevance to the visualization community, providing the planned structure and outline of the STAR together with all key references, and short biographies of the authors. The length of a STAR Sketch main text is limited to two pages. To demonstrate the relevant expertise needed to produce the proposed STAR, brief biographies of all authors are required as supplementary material. References and short biographies are considered supplementary pages and are not counted within the two page limit. Authors receive feedback on their sketches to help improve the submission and to inform their decisions whether to progress to the Full STAR submission stage. Full STAR Submission In the next stage, authors are required to submit a full STAR. There is no strict maximum length for full submissions. However, it is unusual for STARs to exceed 20 pages (excluding references). Full STAR submissions will then undergo a single blind, two-stage review process, similar to that of regular papers submitted to Computer Graphics Forum, where 3-4 external experts on the respective topic will evaluate the STAR. STAR Chairs Stefan Bruckner, University of Bergen, Norway Cagatay Turkay, University of Warwick, UK Renata G. Raidou, TU Wien, Austria For any questions concerning State-of-the-Art Report submissions please contact the STAR chairs at stars at eurovis.org. Further details of the conference and the call can be accessed here: https://conferences.eg.org/eurovis2023/for-submitters/stars/ From ebert at ou.edu Tue Oct 11 20:14:00 2022 From: ebert at ou.edu (Ebert, David) Date: Tue, 11 Oct 2022 18:14:00 +0000 Subject: [Infovis] Two Postdoc Positions in Visual Analytics, Data Science and Trustable AI at University of Oklahoma Message-ID: 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 at ou.edu) or Dr. Gopichandh Danala (danala at 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 at ou.edu -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.gif Type: image/gif Size: 92 bytes Desc: image001.gif URL: From ebert at ou.edu Thu Oct 13 21:36:52 2022 From: ebert at ou.edu (Ebert, David) Date: Thu, 13 Oct 2022 19:36:52 +0000 Subject: [Infovis] Three Faculty Positions in Data Science, AI, Interactive Decision Making, Human Computer Teaming, Visual and Data Analytics Message-ID: 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 at 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 at 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 at 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?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 at 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 at ou.edu -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.gif Type: image/gif Size: 92 bytes Desc: image001.gif URL: From victorchen at purdue.edu Thu Oct 13 23:14:10 2022 From: victorchen at purdue.edu (Chen, Yingjie) Date: Thu, 13 Oct 2022 21:14:10 +0000 Subject: [Infovis] Assistant/Associate Professor in Interactive Media and Computer Graphics at Purdue University Message-ID: 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 at 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. From tobias.schreck at cgv.tugraz.at Sat Oct 15 14:03:16 2022 From: tobias.schreck at cgv.tugraz.at (Tobias Schreck) Date: Sat, 15 Oct 2022 14:03:16 +0200 Subject: [Infovis] EuroVis 2023 Call for Papers Message-ID: ---------------------------- 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-access/preprints-policy.html 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. From jiayan.zhao at wur.nl Wed Oct 19 10:48:53 2022 From: jiayan.zhao at wur.nl (Zhao, Jiayan) Date: Wed, 19 Oct 2022 08:48:53 +0000 Subject: [Infovis] Several positions available Message-ID: 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 Science Manager WANDER lab (October 24th): Senior Science Manager eXtended Realities and the WUR Metaverse - WUR 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 And another position from our colleagues in Applied Spatial Research (October 31st): Senior researcher Information Science in the environmental domain - WUR 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 at wur.nl). Jiayan Zhao, PhD Assistant Professor Laboratory of Geo-information Science and Remote Sensing Wageningen University & Research Email: jiayan.zhao at wur.nl From Christopher.Collins at ontariotechu.ca Sat Oct 22 16:27:23 2022 From: Christopher.Collins at ontariotechu.ca (Christopher Collins) Date: Sat, 22 Oct 2022 14:27:23 +0000 Subject: [Infovis] Three CS Faculty Positions - HCI/CG/VR/VIS Message-ID: <5ee7e8f0272445099344e5633d0c6e0b@ontariotechu.ca> 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=ontariotechu 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 and will be subject to the terms and conditions of the collective agreement between the University and the UOIT Faculty Association. 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. 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 is available. If you require accommodation, please contact Julie Day, Health and Disability Management Specialist. For more information about the universities policies for accommodating employees with disabilities please review the university's Accessibility Policy 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) From nadia.boukhelifa at inrae.fr Tue Oct 25 20:07:51 2022 From: nadia.boukhelifa at inrae.fr (Nadia Boukhelifa) Date: Tue, 25 Oct 2022 20:07:51 +0200 Subject: [Infovis] Call for Papers: Special Issue on Visualization and Decision Making Design Under Uncertainty Message-ID: 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-design-under-uncertainty 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 . Please submit papers through the ScholarOne system , 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 at 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 From ieeevrpublicity at gmail.com Sat Oct 29 21:28:06 2022 From: ieeevrpublicity at gmail.com (IEEE VR Publicity) Date: Sat, 29 Oct 2022 19:28:06 +0000 Subject: [Infovis] Conferences: IEEE VR 2023 call for all programs Message-ID: 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 (Proposals and CFPs due Dec.2) Call for Doctoral Consortium (Submission deadline: Dec.12) Call for Posters (Submission deadline: Dec.18) Call for 3DUI Contest (Submission deadline: Dec.22) Call for Research Demos (Submission deadline: Jan.6) Call for Tutorials (Submission deadline: Jan.9) Call for Panels (Submission deadline: Jan.12) Call for Videos (Submission deadline: Jan.13) Call for Student Volunteers (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 . 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 here. Thank you for your attention to IEEE VR 2023 ! [image: beacon] From katy at indiana.edu Mon Oct 31 04:26:08 2022 From: katy at indiana.edu (Borner, Katy) Date: Mon, 31 Oct 2022 03:26:08 +0000 Subject: [Infovis] ISSI2023 Call for Papers In-Reply-To: References: Message-ID: ISSI2023 Call for Papers https://cns-iu.github.io/workshops/2023-07-02_issi/ The Organizing Committee invites scholars, friends, and researchers to submit a contribution to the 19th International Society of Scientometrics and Informetrics Conference to be held in Bloomington, Indiana, USA, July 2-5. ISSI2023 is part of a long series of biennial conferences launched in 1987 that provide an international forum for scientists, research managers and administrators, as well as information professionals, to discuss the advancements of informetric and scientometric theory and applications and to better understand the complexity of scholarly communication and its role in the knowledge-based societies. The forum provides the opportunity for enlivened discussion, fun, and fellowship! The 2023 conference is organized by Indiana University under the auspices of ISSI ? the International Society for Informetrics and Scientometrics. All manuscripts should be submitted to the conference editorial manager system (ConfTool). Health, Safety, and Accessibility Although COVID-19 has been a concern for the past few years, following current health guidelines, we plan to return to an in-person conference in 2023. While we may live stream some of the conference for those who cannot attend in person, we will make limited use of online presentations ? only for those who cannot attend legally or physically for whatever reason or who have a disability making it difficult to attend. Local health requirements will be announced prior to the conference. The Doctoral Forum, however, will be organized as a hybrid event, and will not require in-person attendance. Conference topics Major conference topics of interest include, but are not limited to: * Informetric theory * Methods and techniques * Citation and co-citation analysis * Research collaboration, mobility and internationalization * Knowledge dissemination, integration and interdisciplinarity * Bibliometric indicators ? present and future * Webometrics and altmetrics * Science mapping and visualization * Informetric applications of DEI (diversity, equity, inclusion) * Science policy and research assessment * University policy and institutional rankings * Communication channels: periodicals, proceedings, books and electronic publications * Knowledge discovery, AI (artificial intelligence) and data mining * Bibliometrics-aided information retrieval * Data sources and data processing * Data harmonization and integration * Quantum social science applications * Macro-, meso- and micro-level studies * Open science ? open access and open data * Patent analysis * Science-technology interface Doctoral forum The Doctoral Forum is a one-day event and will take place on Sunday July 2, 2023. Welcome to the 8th ISSI Doctoral Forum, an event hosted in conjunction with the ISSI biennial meeting. The primary objective of the event is to provide doctoral students with a forum for presenting and discussing their research projects with senior researchers and fellow students, and to develop relationships with other scientists. Due to the intense mentoring provided in the Doctoral Forum, participation is limited to a selected group of students. Seven invited experts will moderate the event: Vincent Lariviere, Andrea Scharnhorst, Stasa Milojevic, Alesia Zuccala, Guillaume Cabanac, Jens Peter Andersen and Cassidy Sugimoto. There is no additional fee for attending the Doctoral Forum, but students are required to register for the main conference. We invite students who wish to participate to submit their research by using the ConfTools link, which will be live by Sept 15. The template for the submission can also be found. Please name your submitted file as follows: [yourlastname_issi_DF2023]. The deadline for submission is January 15, 2023 with decisions being issued by late February. The Doctoral Forum will operate in a hybrid mode (more details to come). Requests for further information about the Doctoral Forum can be directed to Professor Vincent Lariviere (email: vincent.lariviere at umontreal.ca). How and when to submit your abstract The submission portal for ISSI2023is open. Five types of submissions are possible: 1. Full papers that will be ready by the conference date (up to 26 pages) - Submit by November 14, 2022. Decisions issued in January, with revisions due March 31, 2023 2. Research in Progress (RiP) paper manuscripts (no more than 6 pages) - Submit by November 14, 2022. 3. Poster proposals - Submit by January 16, 2023 4. Workshop or Tutorial - Submit by November 14, 2022 5. Doctoral Forum - Submit by January 15, 2023 Authors of full papers and research in progress papers should download a Microsoft Word template available on our website and use it to prepare the submission. Please note that formatting details are included in template. A ?Best Conference Poster? award will be given on the final day of the conference. Let?s share our latest, most exciting work! We ask participants to refrain from depositing the conference materials to a preprint service until after the conference. We will make submissions discoverable online after the conference through an improved Proceedings website. Important dates * November 14, 2022 - Deadline for full papers, research in progress papers, workshops and tutorials) * January 15, 2023 - Decisions issued on full papers, research in progress, workshops and tutorials * January 15, 2023 - Doctoral Forum Deadline * January 16, 2023 - Poster Proposal deadline * January 15, 2023 - Early bird registration opens * February 15, 2023 - Decisions on posters issued * February 28, 2023 - Doctoral Forum Results Announced * March 31, 2023 - Submission of final version of papers * April 15, 2023 - Early bird registration rate close ? all speakers are asked to register by this date or communicate with organizers about their plans to maintain their speaking slot. * May 1, 2023 - Draft Program published * June 5, 2023 - Proceedings published * July 2, 2023 - Conference begins Travel Reservations for accommodations will be available at the Biddle Hotel, which is part of the Indiana Memorial Union, where the meeting will be located. Paid parking is available, but it is very limited. Reservations will open when registration does, on January 15, 2023. The nearest international airport is located in Indianapolis, IN (IND). We recommend flying to Indianapolis and taking the shuttle bus to Bloomington. We will have a larger list of appropriate nearby hotels as well. Hotel information will be opened at the time of registration. -- You received this message because you are subscribed to the Google Groups "ISSI listserv" group. To unsubscribe from this group and stop receiving emails from it, send an email to issi-society+unsubscribe at googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/issi-society/41e7fc06-c9aa-455e-9229-1ea4e1bd54b4n%40googlegroups.com. -- Katy Borner Victor H. Yngve Distinguished Professor of Engineering and Information Science Director, CI for Network Science Center, http://cns.iu.edu Curator, Mapping Science exhibit, 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