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Assistant Professor post at the Centre for Interdisciplinary Methodologies, University of Warwick, UK
by Turkay, Cagatay 03 Feb '22

03 Feb '22

Dear all, At the Centre for Interdisciplinary Methodologies (CIM) at the University of Warwick, we are looking to recruit a permanent full-time Assistant Professor from September 2022. We are interested in applications from scholars working in one or more of the areas of data analysis, data visualisation, critical data studies, quantitative methods, digital methods, design visualisation, human-data interaction and interdisciplinary data science. We would be looking for a promising or established track record of internationally recognized interdisciplinary research and the design and delivery of teaching. The deadline for this application is 21 Feb 2022 and further details of the post and application are here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5062452&ownertype=fair… And for information about CIM, you can refer here: https://warwick.ac.uk/fac/cross_fac/cim/ Please feel free to pass on to who you think might be interested and please get in touch with me and/or the head of department, Celia Lury, for questions/clarifications. Contact information can be found here: https://warwick.ac.uk/fac/cross_fac/cim/people/ Best wishes, Cagatay. Dr Cagatay Turkay Associate Professor Centre for Interdisciplinary Methodologies University of Warwick & Turing Fellow @ The Alan Turing Institute w: https://warwick.ac.uk/fac/cross_fac/cim/people/cagatay-turkay

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Conferences: Call for Nominations for the Inaugural Class of IEEE VGTC VR Academy - Deadline - Feb 15
by IEEE VR Publicity 03 Feb '22

03 Feb '22

Dear Members of the IEEE VR Community, There is still time, until Feb. 15 AOE, in this special first year, to nominate worthy individuals for election to the Inaugural Class of IEEE VGTC VR Academy. Members will be announced at IEEE VR 2022 on March 12-16. We particularly encourage nominations that recognize the diversity of our community. The Inaugural Class will include newly elected members as well as all past Lifetime and Technical Achievement award winners <https://ieeevrpublicity-dot-yamm-track.appspot.com/1ASALVuNucXXShA2Ut-RsdPQ…> . The nomination criteria are here <https://ieeevrpublicity-dot-yamm-track.appspot.com/1OEFyFOXjzVO544VPO-S-Us5…>, the submission form is here <https://ieeevrpublicity-dot-yamm-track.appspot.com/11FFbNPgK5upO2FKbTsuctie…>, and general information about the entire IEEE VR Awards Program is here <https://ieeevrpublicity-dot-yamm-track.appspot.com/1q1KA8pF7POY_6ixVHDlt2nx…> . Best, Steve Feiner, Chair IEEE VGTC VR Academy Awards Committee Henry Fuchs, Chair IEEE VGTC VR Awards Program [image: beacon]

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CFP: ETVIS 2022 - Workshop on Eye Tracking and Visualization (Due on Feb 22)
by Vidyapu Sandeep 03 Feb '22

03 Feb '22

Dear colleagues, You are invited to submit relevant manuscripts for consideration in the * Sixth Workshop on Eye Tracking and Visualization (ETVIS 2022) * June 8-11, 2022, Seattle, US. For the third time in conjunction with the Symposium on Eye Tracking Research and Applications (ETRA): https://etra.acm.org/2022 All accepted papers will be published by ACM. The details are appended and also available at https://etra.acm.org/2022 under co-located events. Please feel free to contact us directly for any further enquiry. Best regards, Zoya Bylinskii (Adobe) Benedict Fehringer (University of Mannheim) Kuno Kurzhals (University of Stuttgart) ************************************************************************** Sixth Workshop on Eye Tracking and Visualization (ETVIS 2022) June 8-11, 2022, Seattle, US in conjunction with ACM ETRA 2022 https://etra.acm.org/2022/workshops/ETVIS2022/ETVIS2022.html ************************************************************************** Contact: etvis2022(a)gmail.com ************************************************************************** ________________ IMPORTANT DATES ________________ ● Abstract Due: Feb 22, 2022 ● Submission Due: Mar 01, 2022 ● Notification: Apr 08, 2022 ● Camera Ready: Apr 19, 2022 All accepted papers will be published by ACM. ______ SCOPE ______ Broadly, this workshop considers the intersection of eye tracking research with visualization, whether the contributions relate to eye tracking studies of visualizations, or vice versa, visualization techniques for eye tracking. Technological advances in computer vision algorithms and sensor hardware have greatly reduced the implementational and financial costs of eye tracking. Thus, it is unsurprising to witness a significant increase in its use as a research tool in fields beyond the traditional domains of biological vision, psychology, and neuroscience, in particular, in visualization and human-computer interaction research. One of the key challenges lies in the analysis, interaction, and visualization of complex spatio-temporal datasets of gaze behavior, which is further complicated by complementary datasets such as semantic labels, user interactions and/or accompanying physiological sensor recordings. Ultimately, the research objective is to allow eye tracking data to be effectively interpreted in terms of the observer’s decision-making and cognitive processes. To achieve this, it is necessary to draw upon our current understanding of gaze-behavior across various and related fields, from vision and cognition to visualization. All together eye tracking is an important field to be understood, be it in the sense of data analysis and visualization, interaction, or user-based evaluation of visualization. _______ TOPICS _______ Manuscripts are solicited on the following topics with an emphasis on the relationship between eye tracking and visualization, including but not limited to the following: ● Visualization techniques for eye-movement data (inc. spatio-temporal visualization, evolution of gaze patterns, visual analysis of individual behavior, 2D vs. 3D representations of eye-movement data) ● Visual analytics of gaze behavior (inc. visual data mining, aggregation, clustering techniques, and metrics for eye-movement data) ● Eye-movement data provenance ● Standardized metrics for evaluating gaze interactions with visualization ● Cognitive models for gaze interactions with visualizations ● Novel methods for eye tracking in challenging visualization scenarios ● Uncertainty visualization of gaze data ● Interactive annotation of gaze and stimulus data ● Systems for the visual exploration of eye-movement data ● Eye-tracking studies that evaluate visualization or visual analytics ● Eye tracking in non-WIMP visualization environments, including mobile eye tracking, mobile devices, and large displays ● Visualization of eye-tracking data in mixed and virtual reality (3df & 6df, 360°) ● Visualization applications that rely on eye tracking as an input parameter ____________ SUBMISSIONS ____________ Authors are invited to submit original work complying with the ETRA SHORT PAPER format (up to 8 pages single-column format, any number of references, max. 150 words abstract). Also ensure that the Author Guidelines ( https://www.siggraph.org//learn/instructions-authors for SIG sponsored events [sigconf]) are met prior to submission. ________ ORGANIZERS ________ ● Zoya Bylinskii, Adobe, bylinski[at]adobe.com ● Benedict Fehringer, University of Mannheim, b.fehringer[at]uni-mannheim.de ● Kuno Kurzhals, University of Stuttgart, kuno.kurzhals[at] visus.uni-stuttgart.de ________ MEDIA CHAIR ________ ● Sandeep Vidyapu, University of Stuttgart, Sandeep.Vidyapu[at] visus.uni-stuttgart.de -- Thanks and regards, Dr. Sandeep Vidyapu, Ph.D. Postdoc Research Fellow Universität Stuttgart

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Invitation to participate in a user study ($30 Amazon gift card)
by Bhavya Ghai 02 Feb '22

02 Feb '22

We invite you to participate in a user study to evaluate an interactive visual tool that helps users in identifying nuance biases and stereotypes. You are eligible if you are 18 or more and a writer, literary critic, or involved with production of written stories in any other ways. The study is IRB-approved and you will receive a $30 Amazon gift card for your participation. In the user study, you will read a few short stories and answer several questions relevant to the stories. All the stories will be in English. We do not require any particular computer skills beyond the basic familiarity with a web browser. The study will take approximately 1.5 hours. If you have any questions, please email me at nhoque(a)umd.edu or Niklas Elmqvist at elm(a)umd.edu. For registration, please visit here: https://forms.gle/qU8t9hLgX9mcsSWm9 -- Thanks & Best Regards *Bhavya Ghai* PhD Student, Computer Science Department Stony Brook University - State University of New York +1-631-710-5433 | http://www3.cs.stonybrook.edu/~bghai/

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[CfP} Interactive Visualization User Study
by Michelle Dowling 01 Feb '22

01 Feb '22

I would like to invite you to participate in a user study about the effectiveness of data visualization and interaction techniques on different tasks, such as filtering data, sorting data, and determining ranges. The techniques used in this study were designed for specific tasks, but we are investigating what effects these techniques have on other tasks as well. Understanding the effects of these techniques on other tasks will allow us to better understand the advantages or disadvantages in using those techniques when designing a new interactive visualization that supports a variety of tasks. We anticipate your participation taking 1 – 2 hours of your time. Once you have completed the study, you will be compensated with a $15 electronic Amazon gift card. If you are interested, please fill out this pre-survey<https://gvsu.co1.qualtrics.com/jfe/form/SV_dgNLnvLVDWUsy3Q>, which will allow us to sort you into different participant groups. We will email you further instructions after you complete the pre-survey. If you know of any others who may be interested in participating in this survey, we encourage you to forward them this invitation as well. Thank you, Michelle Dowling Assistant Professor School of Computing Grand Valley State University C - 2 - 209 Mackinac Hall Allendale, MI 49401 office: 616-331-4370 dowlinmi(a)gvsu.edu<mailto:%7B%20props.email%20%7D>

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Conferences: IEEE VR 22 Registration now open - early registration ends Feb. 16!
by IEEE VR Publicity 01 Feb '22

01 Feb '22

Registration (https://ieeevr.org/2022/attend/registration/ <https://ieeevrpublicity-dot-yamm-track.appspot.com/17zRQDoMb3PPj4blnST7vasE…> ) *IEEE VR 2022: the 29th IEEE Conference on Virtual Reality and 3D User Interfaces* 12-16 March, 2022, Virtual http://ieeevr.org/2022/ <https://ieeevrpublicity-dot-yamm-track.appspot.com/1oR96aNR_X99of4_owAjHFIH…> Click Here to Register <https://ieeevrpublicity-dot-yamm-track.appspot.com/10ijEA1Cq4PferJpVCFPx5W2…> Please note all registration fees below are in New Zealand Dollars (NZD) and include tax. A currency converter can be found here: https://www.xe.com/currencyconverter/ <https://ieeevrpublicity-dot-yamm-track.appspot.com/1PCtlJZ6p3Bh5N5LawA5lw2O…> Early bird registration fees are available until Wednesday 16th February. Following this date, late registration fees apply. General Participant Registration *Registration Type**Early Bird Registration Fee**Late Registration Fee* Member $100 $180 Non-Member $120 $220 Student Member $70 $130 Student Non-Member $85 $160 Life Member $55 $100Paper Author Registration incl. TVCG Papers *Registration Type**Registration Fee* Member $500 Non-Member $600 Student Member $35 0 Student Non-Member $420 Life Member $275Workshops, Posters, Tutorials, Demos, Videos, or 3DUI Contest Author Registration *Registration Type**Registration Fee* Member $250 Non-Member $300 Student Member $175 Student Non-Member $210Cancellation Policy Should you need to cancel your registration, you may reassign your registration to another person. All cancellations and substitutions must be notified in writing to Lauren Broughton at lauren(a)conference.nz <lauren(a)conference.nz?subject=IEEE%20VR%2022%20Cancellation%20Request>. If you are unable to arrange a replacement, a full refund less an administration charge of 50% of your registration fee will be made providing notification is received in writing before and including Wednesday 16th February 2022. After this date, refunds will be at the discretion of the Organising Committee. Registration FAQ - *Can one author register as the registered author for two or more papers/publications?* Yes. During registration the author should inform all papers/publications for validation. - *Can an author registered as "regular attendee" actually present a paper?* Yes. As long as the paper has one author registered to validate the paper, another registered attendee can present the paper. - *I am invited to present a paper previously published in TVCG. What category should I register as?* You should use the same category as paper presenters. - *What number should I provide to register as an invited TVCG paper author?* You should indicate your full Paper DOI, eg: 10.1109/TVCG.20nn.ddddddd (as listed on TVCG) - *What is an Invited TVCG paper?* Invited TVCG papers are those manuscripts previously published on IEEE TVCG and invited for oral presentation at the conference. Not to be confused with IEEE VR 2022 Journal Papers published in the special issue. - *I'm presenting a paper and a workshop/poster/tutorial/demo, what category do I register as?* You should register as a paper author. - *Can a participant registered as workshop/TVCG/Poster/Demo attend the full conference?* Yes. - *Can a participant registered for the conference attend workshops and tutorials?* Yes. [image: beacon]

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TVCG and GD partnership
by Patrizio Angelini 01 Feb '22

01 Feb '22

--- Apologies for possible multiple messages ---- Dear colleague, Do you publish papers relating to Graph Drawing or Network Visualization at TVCG? If so, you may like to know that authors of accepted TVCG papers can present their work at the annual International Symposium on Graph Drawing and Network Visualization. This can be an excellent opportunity to showcase your research and to meet with other like-minded researchers in the friendly GD community! We are keen to promote this partnership, and plan to dedicate a session to relevant TVCG papers in the conference program of GD '22, which will be (hopefully) held in Tokyo, Japan on September, 13-16. You can find more details on the partnership arrangements and how to apply to present your work at GD '22 at the following link: https://www.computer.org/digital-library/journals/tvcg/tvcg-partners-with-c… Patrizio Angelini & Reinhard von Hanxleden PC chairs of GD '22

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Open PostDoc Position in Information Visualization / Visual Analytics at Linköping University (LiU), Sweden
by Andreas Kerren 30 Jan '22

30 Jan '22

*** Apologies for cross-posting *** Come and join us! We are seeking for an engaged and bright PostDoc to work with us in the areas of Information Visualization and Visual Analytics. This position (ref. LiU-2022-00141) is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. The successful candidate will become member of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Information Visualization group at Linköping University (LiU) and the Systems Biology group at the Royal Institute of Technology (KTH) work closely together. There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern. The focus of this PostDoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters. Please visit the official vacancy website of Linköping University for a more detailed description of the duties, formal requirements, and on how to apply for this position: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK The application deadline is February 28, 2022. The advertised position will be affiliated to the iVis research group led by Professor Andreas Kerren (see http://bit.ly/ivis-liu) Linköping University, Norrköping Campus, which is part of the division for Media and Information Technology. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies. We are looking forward to receiving your application! Please also consider to share this message with any great candidates. Best regards, Andreas Kerren iVis Group @ Linköping University -- +------------------------------------------------------- + Prof. Dr. Andreas Kerren + + Linköping University + Department of Science and Technology + Kopparhammaren 2, Room 3028 + SE-602 33 Norrköping, Sweden + + Phone: +46 11 36 34 06 + Email: andreas.kerren(a)liu.se + WWW: https://liu.se/en/employee/andke01 + WWW: https://ivis.itn.liu.se +-------------------------------------------------------

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CDVE2022 abstract deadline reminder: Feb. 15, 2022
by cdve .org 24 Jan '22

24 Jan '22

*CDVE2022 Call for paper abstracts* The 19th International conference on Cooperative Design Visualization and Engineering (CDVE2022) conference participation. See www.cdve.org for details. You are all welcome to submit papers and join us! The focus of the conference is "cooperative". Research results concerning multiple users, multiple disciplinaries, multiple locations, multiple units, multiple sensors are within our attention. The major areas are cooperative design, cooperative visualization, cooperative engineering, and any other cooperative applications. The proceedings of CDVE2022 will be published by the LNCS - Lecture Notes in Computer Science by Springer Nature. It will be indexed by ISI(CPCI-S), Web of Science, EI, Scopus, DBLP, ACM Digital Library etc. Selected papers will have the opportunity to fully expand to be considered in a couple SCI indexed journals. A recommended submission of abstracts is now open. You can submit the paper directly without submitting an abstract. However, we highly recommend you to submit an abstract first to receive some feedback from us before writing the full paper. The abstract submission deadline is Feb. 15, 2022. The submission page is https://easychair.org/conferences/?conf=cdve2022 . See you in Poland! ------------------- The 19th International Conference on Cooperative Design, Visualization and Engineering September 25-28, 2022, Krakow, Poland Email: cdve2022(a)easychair.org <cdve2020(a)easychair.org> Web: http://www.cdve.org

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[Deadline Extension] BigVis 2022 : Big Data Visual Exploration & Analytics Workshop @ EDBT/ICDT 2022 [Online]
by Nikos Bikakis 24 Jan '22

24 Jan '22

** Paper submission deadline has been extended to February 4, 2022 (AoE) ** BigVis 2022: 5th International Workshop on Big Data Visual Exploration and Analytics, EDBT/ICDT 2022 https://bigvis.imsi.athenarc.gr/bigvis2022 March 29 2022, Edinburgh, UK [Online] Held in conjunction with the 25th Intl. Conference on Extending Database Technology & 25th Intl. Conference on Database Theory (EDBT/ICDT 2022) Information Visualization is nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part. Thus, the area of data visualization, visual exploration and analysis has gained great attention recently, calling for joint action from different research areas from the HCI, Computer graphics and Data management and mining communities. In this respect, several traditional problems from these communities such as efficient data storage, querying & indexing for enabling visual analytics, new ways for visual presentation of massive data, efficient interaction and personalization techniques that can fit to different user needs are revisited. The modern exploration and visualization systems should nowadays offer scalable techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms for information abstraction, sampling and summarization for addressing problems related to visual information over-plotting. Further, they must encourage user comprehension offering customization capabilities to different user-defined exploration scenarios and preferences according to the analysis needs. Overall, the challenge is to offer self-service visual analytics, i.e. enable data scientists and business analysts to visually gain value and insights out of the data as rapidly as possible, minimizing the role of IT-expert in the loop. The BigVis workshop aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss, exchange, and disseminate their work. BigVis attempts to attract attention from the research areas of Data Management & Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities. Workshop Topics ------------------------------------ In the context of visual exploration and analytics, topics of interest include, but are not limited to: - Visualization, exploration & analytics techniques for various data types; e.g., stream, spatial, graph - Human -in -the -loop processing - Human -centered databases - Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications - Interactive & human -centered machine learning - Interactive data mining - User -oriented visualization; e.g., recommendation, assistance, personalization - Visualization & knowledge; e.g., storytelling - Progressive analytics - In -situ visual exploration & analytics - Novel interface & interaction paradigms - Visual representation techniques; e.g., aggregation, sampling, multi -level, filtering - Scalable visual operations; e.g., zooming, panning, linking, brushing - Scientific visualization; e.g., volume visualization - Analytics in the fields of scholarly data, digital libraries, multimedia, scientific data, social data, etc. - Immersive visualization - Interactive computer graphics - Setting -oriented visualization; e.g., display resolution/size, smart phones, visualization over networks - High performance, distributed & parallel techniques - Visualization hardware & acceleration techniques - Linked Data & ontologies visualization - Benchmarks for data visualization & analytics - Case & user studies - Systems & tools Special Theme ------------------------------------ _Human-AI Collaboration_ BigVis 2022 will devote a session to Human-AI collaboration approaches in the context of Big data visualization and analytics. Submissions ------------------------------------ Regular/Short Research papers [up to 8/4 pages] Work-in-progress papers [up to 4 pages] Vision papers [up to 4 pages] System papers and Demos [up to 4 pages] Important Dates ------------------------------------ Submission: February 4 (AoE) ***Extended*** Notification: February 20, 2022 Camera-ready: February 25, 2022 Workshop: March 29, 2022 [Online] Special Issue ------------------------------------ TBD Organizing Committee ------------------------------------ Nikos Bikakis, ATHENA Research Center, Greece Hanna Hauptmann, Utrecht University, Netherlands George Papastefanatos, ATHENA Research Center, Greece Michael Sedlmair, University of Stuttgart, Germany Program Committee ------------------------------------ James Abello, Rutgers University Demosthenes Akoumianakis, Hellenic Mediterranean University Gennady Andrienko, Fraunhofer Natalia Andrienko, Fraunhofer Jacob Biehl, University of Pittsburgh Wei Chen, Zhejiang University Panos Chrysanthis, University of Pittsburgh Alfredo Cuzzocrea, University of Calabria Evanthia Dimara, Université Paris-Sud Harish Doraiswamy, Microsoft Mennatallah El-Assady, University of Konstanz Ahmed Eldawy, University of California, Riverside Steffen Frey, University of Groningen Issei Fujishiro, Keio University Christoph Garth, Technische Universität Kaiserslautern Parke Godfrey, York University Hamed Haddadi, Imperial College London Eser Kandogan, Megagon Labs Alireza Karduni, Northwestern University James Klosowski, AT&T Labs Research Manolis Koubarakis, National University of Athens Kwan-Liu Ma, University of California, Davis Stavros Maroulis, National Technical University of Athens Suvodeep Mazumdar, The University of Sheffield Silvia Miksch, Vienna University of Technology Davide Mottin, Aarhus University Laura Po, Universitá di Modena e Reggio Emilia Giuseppe Polese, University of Salerno Sajjadur Rahman, Megagon Labs Alexander Rind, St. Pölten University of Applied Sciences Panagiotis Ritsos, Bangor University Maria Riveiro, Jönköping University Hans-Jörg Schulz, Aarhus University Arjun Srinivasan, Tableau Manuel Stein, Universität Konstanz Christian Tominski, University of Rostock Natkamon Tovanich, IRT SystemX Yannis Tzitzikas, University of Crete & FORTH-ICS Katerina Vrotsou, Linköping University Junpeng Wang, Visa Research Yunhai Wang, Graduate University of Chinese Academy of Sciences Jules Wulms, Vienna University of Technology Jiazhi Xia, Central South University Kai Xu, Middlesex University Hongfeng Yu, University of Nebraska-Lincoln -- Nikos Bikakis Information Management Systems Institute ATHENA Research Center Athens | Greece www.nbikakis.com

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