- Infovis - infovis.org

Subjects needed for Visualization User Study
by Hannah Katserdemwa Bako 04 Jan '21

04 Jan '21

Greetings, Are you interested in participating in cutting edge research on the development of state-of-the-art visualization systems? Then this email is for you! We are conducting an online study on the usability of recommendation tools for the creation of interactive visualizations. We are seeking out participants for a 65-minute study (no more than 2 hours) that will require you to try out new data science techniques, create astonishing visualizations, and interact with a state-of-the-art visualization system. In the session, you will use a new visualization tool and provided datasets to create visualizations that highlight the requested properties. This session will be followed by a brief interview. You will only be interviewed once. This is an opportunity to be an active contributor to current and future data science research. Participation is completely voluntary and the experience and data you share will be anonymous. Personal demographic data, answers to interview questions, and interaction logs will be collected and shared after being anonymized. To participate in this study you must meet the following criteria: 1) Be over the age of 18 2) Have greater than three months of experience using D3.js 3) Have at least basic visualization or data analysis experience. You will be compensated with a $20 Amazon gift card for participating in this study. If you are interested, please send an email to hbako(a)umd.edu <mailto:hbako@umd.edu>. If you have any questions, please do not hesitate to contact me. Thank you for your time. Hannah Bako, Graduate Student University of Maryland, College Park Principal Investigator: Leilani Battle, Ph.D. Assistant Professor, University of Maryland, College Park

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BioVis: CfP for Symposium on Biological Data Visualization at ISMB/ECCB 2021, Lyon, France
by Fritz Lekschas 04 Jan '21

04 Jan '21

Call for Participation for Symposium on Biological Data Visualization (BioVis) ========================= BioVis will be held as a one-day Community of Special Interest (COSI) event at ISMB/ECCB 2021 July 25-29, 2021 Lyon, France (with also virtual attendance) http://biovis.net/ <http://biovis.net/> https://twitter.com/biovis_net <https://twitter.com/biovis_net> ========================= We invite submissions of contributions to the BioVis Symposium in various formats on all aspects of data visualization in biology, from molecular to cell, tissue, organism and population biology. For detailed information including submission instructions please refer to the full CfP at http://biovis.net/2021/cfp_ismb <http://biovis.net/2021/cfp_ismb> 1. ISMB Proceedings ---------------------------- Novel, unpublished work can be submitted as a paper to the ISMB Proceedings. Accepted submissions will be published in the OUP Journal Bioinformatics (http://bioinformatics.oxfordjournals.org/, impact factor 7.3) and presented orally at BioVis. Submission Deadline: January 28, 2021 2. Talks ---------------------------- Participants are encouraged to submit short abstracts highlighting previously published work, or long abstracts discussing unpublished work. Accepted talks will be presented orally at BioVis. Submission Deadline: May 6, 2021 3. Posters and demos ---------------------------- We invite participants to submit work in progress and preliminary results, previously published work from other venues, and visualization challenges to be presented as a poster or interactive demo. A selection of these will be invited to give a short talk during the conference. Submission Deadline: May 6, 2021 (late posters deadline June 3, 2021) Best regards, Organization committee of BioVis 2021

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CFP: Diagrams 2021
by Mikkel Willum Johansen 03 Jan '21

03 Jan '21

Hi, The Twelfth conference DIAGRAMS will take place online with FREE registration in September 2021. It accepts papers and abstracts from all areas of diagram research. Please find its CFP bellow and at the following page: http://www.diagrams-conference.org/2021/ The deadline for the pre-submission of all abstracts is April 1, 2021. Best, Mikkel ************************************************************* *** Call for Papers: Diagrams 2021 *** 12th International Conference on the Theory and Application of Diagrams September 28 – 30, 2021 Virtual Event www.diagrams-conference.org/2021<http://www.diagrams-conference.org/2021> *** Highlights *** - FREE REGISTRATION - Proceedings published by Springer - Three Tracks: Main, Philosophy, and Psychology and Education. - Graduate Symposium - Best Paper and Best Student Paper awards - Submission dates in April 2021. ***************************************************************** Diagrams is the only conference series that provides a united forum for all areas that are concerned with the study of diagrams and has a multidisciplinary emphasis. For 2021, *MAIN TRACK* conference topics include, but are not limited to: – applications of diagrams, – computational models of reasoning with, and interpretation of, diagrams, – design of diagrammatic notations, – diagram understanding by humans or machines, – diagram aesthetics and layout,– evaluation of diagrammatic notations, – graphical communication and literacy, – heterogeneous notations involving diagrams, – history of diagrammatic notations, – information visualization using diagrams, – nature of diagrams and diagramming, – novel technologies for diagram use, – reasoning with diagrams, – semiotics of diagrams, – software to support the use of diagrams, and – usability and human-computer interaction issues concerning diagrams. In addition to the main track, Diagrams 2021 will have two further tracks: Philosophy, and Psychology and Education; for their topics of interest, see http://www.diagrams-conference.org/2021/index.php/calls/main-track/ http://www.diagrams-conference.org/2021/index.php/calls/philosophy/ http://www.diagrams-conference.org/2021/index.php/calls/psychology-of-diagr…. If the main research contribution of your submission is considered to fit either of the other tracks then you are strongly encouraged to submit to the respective special track, each of which has a dedicated program committee. Authors of accepted submissions will be expected to be in attendance at the virtual conference to present their research and respond to questions presented by delegates. ***************************************************************** Submission Categories The conference will include presentations of refereed Papers, Abstracts, and Posters, alongside a graduate symposium. We invite submissions for peer review that focus on any aspect of diagrams research, as follows: - Long Papers (16 pages), - Abstracts (3 pages), - Short Papers (8 pages), - Posters (4 pages – this is both a maximum and minimum requirement). More details and all important dates can be found on at www.diagrams-conference.org/2021<http://www.diagrams-conference.org/2021>. ***************************************************************** ________________________________ Mikkel Willum Johansen Associate professor Department of Science Education University of Copenhagen Tlf: (+45) 28 72 84 41

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IEEE Virtual Reality and 3D User Interfaces 2021: 2nd Call for Posters
by Isaac Cho 31 Dec '20

31 Dec '20

Call for Posters IEEE VR 2021: IEEE Conference on Virtual Reality and 3D User Interfaces March 27st - April 3rd, 2021, Lisbon, Portugal , Now Virtual! http://ieeevr.org/2021 Important Dates * January 11, 2021: Two-page abstract and optional material submission * February 1, 2021: Notification of results * February 12, 2021: Camera-ready material and copyright submission via IEEE CPS (to be published in conference proceedings) and PCS (poster,video and other additional materials) Each deadline is 23:59:59 AoE (Anywhere on Earth) == GMT/UTC-12:00 on the stated day, no matter where the submitter is located. Overview The 28th IEEE Conference on Virtual Reality and 3D User Interfaces 2021 seeks poster submissions, which describe recently completed work, highly relevant results of work in progress, or successful systems and applications, in all areas related to virtual reality, including augmented reality (AR), mixed reality (MR), and 3D user interfaces. Presenting a poster is a great way to get feedback on work that has not yet been published. A combination of local and remote poster presentations will be an integral part of the conference, with sessions for interactive discussion between presenters and attendees for at least two days, plus a fast-forward presentation track where authors can orally present a brief summary of their work to all conference attendees. Note that, in order to maintain interactive and exciting poster presentations, we require at least one presenter per accepted poster to attend the conference (in person or virtually). Submission Guidelines Poster submissions must be in English and anonymous. The submission must be in the form of a two-page summary paper with a maximum 100-word abstract. Supplemental material, such as a poster draft or videos may be submitted as well, but are not mandatory. All submitted materials must be in PDF format with embedded fonts. Two-page paper will be included in the proceedings and will be archived in the IEEE Digital Library, and therefore must be formatted using the IEEE Computer Society format described at http://junctionpublishing.org/vgtc/Tasks/camera.html. Poster papers must be submitted through a special poster slot available at the online submission site - https://new.precisionconference.com/submissions. Supplemental materials can be uploaded to the submission site as well. Poster drafts and final posters should be in portrait format with a maximum size given by the A0 standard (841 x 1189 mm; or 33.1 x 46.8 in). This year, every accepted poster would submit a 30-second teaser video. This video would not have sound, but would have captions. Contacts For more information, please contact the Posters Chairs: * Daniel Medeiros ‒ University of Glasgow, UK * Isaac Cho, North Carolina A&T State University, USA * Alexandre Gomes de Siqueira ‒ University of Florida, USA * Daniel Zielasko, University of Trier, Germany posters2021 [at] ieeevr.org<http://ieeevr.org/> Isaac Cho, Ph.D. Assistant Professor, Computer Science The North Carolina A & T State University 1601 E Market Street, Greensboro, NC 27411 Tel: 336-285-3700 | Office: 502 McNair Hall ------- NOTICE: This e-mail correspondence is subject to Public Records Law and may be disclosed to third parties. --------

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[DEADLINE EXTENDED] BigVis: Big Data Visual Exploration & Analytics Workshop, EDBT 2021, Cyprus
by Nikos Bikakis 29 Dec '20

29 Dec '20

Due to numerous requests the submission deadline has been extended to **January 18, 2021** --------------------------------------------- Call for Papers BigVis 2021: 4th International Workshop on Big Data Visual Exploration and Analytics https://bigvis.imsi.athenarc.gr/bigvis2021 March 23, 2021, Nicosia, Cyprus Held in conjunction with the 24th Intl. Conference on Extending Database Technology & 24th Intl. Conference on Database Theory (EDBT/ICDT 2021) 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 ************************************************* Machine Learning and Visualization ------------------------------------------------- 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] Special Issue ------------------------------------ Extended versions of the best papers of BigVis 2021 will be invited for submission to a Special Issue of the IEEE Computer Graphics and Applications (CG&A) [pending final decision]. Important Dates ------------------------------------ Submission: January 18, 2021 **extended** Notification: January 29, 2021 Camera-ready: February 8, 2021 Workshop: March 23, 2021 Organizing Committee ------------------------------------ Nikos Bikakis, ATHENA Research Center, Greece Panos K. Chrysanthis, University of Pittsburgh, USA George Papastefanatos, ATHENA Research Center, Greece Tobias Schreck, Graz University of Technology, Austria Program Committee ------------------------------------ James Abello, Rutgers University, USA Gennady Andrienko, Fraunhofer, Germany Natalia Andrienko, Fraunhofer, Germany Michael Behrisch, Utrecht University, Netherlands Jacob Biehl, University of Pittsburgh, USA Rick Cole, Tableau Alfredo Cuzzocrea, University of Calabria, Italy Ahmed Eldawy, University of California, Riverside, USA Jean-Daniel Fekete, INRIA, France Steffen Frey, University of Stuttgart, Germany Issei Fujishiro, Keio University, Japan Giorgos Giannopoulos, ATHENA Research Center, Greece Parke Godfrey, University of York, Canada Silu Huang, Microsoft Christophe Hurter, Ecole Nationale de l’Aviation Civile, France Halldor Janetzko, Lucerne University of Applied Sciences & Arts, Switzerland Stefan Jänicke, University of Southern Denmark, Denmark Vana Kalogeraki, Athens University of Economics & Business, Greece Eser Kandogan, IBM Anastasios Kementsietsidis, Google James Klosowski, AT&T Research Stavros Maroulis, National Technical University of Athens, Greece Suvodeep Mazumdar, The University of Sheffield, United Kingdom Silvia Miksch, Vienna University of Technology, Austria Davide Mottin, Aarhus University, Denmark Martin Nöllenburg, Vienna University of Technology, Austria Behrooz Omidvar-Tehrani, NAVER LABS Europe, France Jaakko Peltonen, Aalto University & University of Tampere, Finland Laura Po, Unimore, Italy Giuseppe Polese, University of Salerno, Italy Alexander Rind, St. Pölten University of Applied Sciences, Austria Rahman Sajjadur, Megagon Labs Hans-Jörg Schulz, Aarhus University, Denmark Bettina Speckmann, Eindhoven University of Technology, Netherlands Kostas Stefanidis, University of Tampere, Finland Christian Tominski, University of Rostock, Germany Yannis Tzitzikas, University of Crete & FORTH-ICS, Greece Katerina Vrotsou, Linköping University, Sweden Chaoli Wang, University of Notre Dame, USA Junpeng Wang, Visa Research Chen Wei, Zhejiang University, China Yingcai Wu, Zhejiang University, China Jiazhi Xia, Central South University, China Panpan Xu, Bosch Research Hongfeng Yu, University of Nebraska-Lincoln, USA -- _nikos bikakis

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IUI Workshop on Exploratory Search and Interactive Data Analytics (ESIDA) - Deadline extension
by Axel Soto 22 Dec '20

22 Dec '20

Fourth IUI Workshop on Exploratory Search and Interactive Data Analytics (ESIDA) https://sites.google.com/view/esida2021/home 13 April 2021, Virtual Important Dates (submission deadline extended): Submission deadline: January 6, 2020 (midnight Hawaii time) Acceptance notification: January 31, 2021 Final manuscript due: February 15, 2021 Workshop: April 13, 2021 Workshop Description: This workshop will be part of the ACM Intelligent User Interfaces 2021 Conference (http://iui.acm.org/2021/) The workshop focuses on systems that personalize, summarize and visualize the data for supporting interactive information seeking and information discovery, along with tools that enable user modeling and methods for incorporating the user needs and preferences into both analytics and visualization. Our aim is to bring together researchers and practitioners working on different personalization aspects and applications of exploratory search and interactive data analytics. This will allow us to achieve four goals: (1) propose new strategies for systems that need to convey the rationale behind their decisions or inference, and the sequence of steps that lead to speciﬁc (search) results; (2) develop new user modeling and personalization techniques for exploratory search and interactive data analytics; (3) develop a common set of design principles for this type of systems across platforms, contexts, users and applications; (4) develop a set of evaluation metrics for personalization in exploratory search. The workshop aims to solicit submissions in the following areas of personalized interactive data analytics and exploratory search: Personalized interactive exploration via interactive data analytics: – personalization aspects in systems for exploratory search. – cross-domain/ context-aware/ cross-platform exploratory search systems. – interactively modelling the user’s information needs for high-recall information retrieval. – new applications of exploratory search and interactive data analytics. Data analytics: – interactive interfaces for data-intensive platforms. – interaction degrees of freedom. – preprocessing vs. online processing. – interactive data visualization evaluation of interactive systems for exploratory search and data analytics. Metrics for explainable intelligent systems: – metrics for explainable exploratory search. – explainability and transparency in expert vs. non-expert systems. – human-in-the-loop analytics systems. – efﬁcient vs. explainable analytics. – user perception of explainability and transparency in interactive intelligent systems. Organisers: Dorota Glowacka, Department of Computer Science, University of Helsinki (Finland), glowacka[at]cs.heelsinki.fi Evangelos Milios, Faculty of Computer Science, Dalhousie University (Canada), eem[at]cs.dal.ca Axel J. Soto, Institute for Computer Science and Engineering, UNS - CONICET (Argentina), axel.soto[at]cs.uns.edu.ar Fernando V. Paulovich, Faculty of Computer Science, Dalhousie University (Canada), paulovich[at]dal.ca Denis Parra, Department of Computer Science, Pontificia Universidad Católica (Chile) , dparra[at]ing.puc.cl Osnat (Ossi) Mokryn, Department of Information and Knowledge Management, University of Haifa (Israel), omokryn[at]univ.haifa.ac.il Submission Information: We encourage submissions of work in progress, concept papers, case studies, ongoing research projects, reports on recently completed PhD dissertations or recently accepted journal papers, and generally material that will stimulate discussion, generate useful feedback to the authors, encourage research collaborations and vigorous exchange of ideas on promising research directions, in one of the following formats: -full papers (up to 8 pages in ACM sigconf format), which will presented either as contributed talks or posters -extended abstracts (up to 4 pages in ACM sigconf format), which will be presented as posters with a possibility to be accompanied by a demo. Papers can be submitted through EasyChair: https://easychair.org/conferences/?conf=esida21

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Permanent Lecturer/Reader (tenured) in Data Vis @ University of Edinburgh
by Benjamin Bach 15 Dec '20

15 Dec '20

Permanent Lectureship/Readership (Assistant/Associate Prof) in Data Visualization at the VisHub group (http://visualinteractivedata.github.io) School of Informatics University of Edinburgh. Closing date: 12th January 2021 The position is embedded in an interdisciplinary environment at the University of Edinburgh, spanning the School of Informatics, the new Edinburgh Futures Institute (EFI) (https://efi.ed.ac.uk/ <https://efi.ed.ac.uk/>), the Centre for Design Informatics (https://www.designinformatics.org <https://www.designinformatics.org/>), and the VisHub / Visual+Interactive Data group (http://visualinteractivedata.github.io <http://visualinteractivedata.github.io/>). The position aims to build new cross-disciplinary bridges between these areas and shape a range of current efforts in data visualisation across the University of Edinburgh and beyond. The successful applicant will be expected to develop a portfolio of high quality externally-funded research, working collaboratively with colleagues across different disciplines and with a range of external partners (from communities, industry and government). They will be expected to publish high quality research regularly, and to undertake research that has societal impact, while contributing to the interdisciplinary research environment of EFI. The position will contribute substantially to the development and delivery of interdisciplinary visualisation courses within new MSc programmes in EFI and will offer supervision within the School of Informatics. The EFI programmes will be developed to an innovative model which includes on-campus and online delivery, interdisciplinary connections and a project-based design. The post holder will expand and build on an existing portfolio of teaching resources in the area of visualisation at the University. Teaching will start in the academic year 2021/22, with time and support before that dedicated to course design and development. Your skills and attributes for success: The successful candidate will - have a PhD, - a track record of high-quality research demonstrated through publication in top tier journals and conferences, - the enthusiasm and ability to undertake original cross-disciplinary research and - a commitment to high quality, creative teaching. We are looking for colleagues with energy, insight and enthusiasm who are committed to world-leading, interdisciplinary teaching and research. All applications must contain the following supporting documents: - A covering letter indicating how you meet the knowledge, skills and experience required for the post - A teaching statement, indicating your commitment to creative, innovative approaches - A five-year research and publication plan, including plans for attracting external research funding - Full CV (resume) and publication list Further details are at the application site: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… <https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…> Deadline: 12th January, with interviews happening in March or April. The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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[CFP] Big Data Visual Exploration & Analytics Workshop (BigVis2021), EDBT 2021, Cyprus
by NIkos Bikakis 13 Dec '20

13 Dec '20

Call for Papers BigVis 2021: 4th International Workshop on Big Data Visual Exploration and Analytics https://bigvis.imsi.athenarc.gr/bigvis2021 March 23, 2021, Nicosia, Cyprus Held in conjunction with the 24th Intl. Conference on Extending Database Technology & 24th Intl. Conference on Database Theory (EDBT/ICDT 2021) 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 ************************************************* Machine Learning and Visualization ------------------------------------------------- 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] Special Issue ------------------------------------ Extended versions of the best papers of BigVis 2021 will be invited for submission in a special issue. [TBA] Important Dates ------------------------------------ Submission: January 8, 2021 Notification: January 29, 2021 Camera-ready: February 8, 2021 Workshop: March 23, 2021 Organizing Committee ------------------------------------ Nikos Bikakis, ATHENA Research Center, Greece Panos K. Chrysanthis, University of Pittsburgh, USA George Papastefanatos, ATHENA Research Center, Greece Tobias Schreck, Graz University of Technology, Austria Program Committee ------------------------------------ James Abello, Rutgers University, USA Gennady Andrienko, Fraunhofer, Germany Natalia Andrienko, Fraunhofer, Germany Michael Behrisch, Utrecht University, Netherlands Jacob Biehl, University of Pittsburgh, USA Rick Cole, Tableau Alfredo Cuzzocrea, University of Calabria, Italy Ahmed Eldawy, University of California, Riverside, USA Jean-Daniel Fekete, INRIA, France Steffen Frey, University of Stuttgart, Germany Issei Fujishiro, Keio University, Japan Giorgos Giannopoulos, ATHENA Research Center, Greece Parke Godfrey, University of York, Canada Silu Huang, Microsoft Christophe Hurter, Ecole Nationale de l’Aviation Civile, France Halldor Janetzko, Lucerne University of Applied Sciences & Arts, Switzerland Stefan Jänicke, University of Southern Denmark, Denmark Vana Kalogeraki, Athens University of Economics & Business, Greece Eser Kandogan, IBM Anastasios Kementsietsidis, Google James Klosowski, AT&T Research Stavros Maroulis, National Technical University of Athens, Greece Suvodeep Mazumdar, The University of Sheffield, United Kingdom Silvia Miksch, Vienna University of Technology, Austria Davide Mottin, Aarhus University, Denmark Martin Nöllenburg, Vienna University of Technology, Austria Behrooz Omidvar-Tehrani, NAVER LABS Europe, France Jaakko Peltonen, Aalto University & University of Tampere, Finland Laura Po, Unimore, Italy Giuseppe Polese, University of Salerno, Italy Alexander Rind, St. Pölten University of Applied Sciences, Austria Rahman Sajjadur, Megagon Labs Hans-Jörg Schulz, Aarhus University, Denmark Bettina Speckmann, Eindhoven University of Technology, Netherlands Kostas Stefanidis, University of Tampere, Finland Christian Tominski, University of Rostock, Germany Yannis Tzitzikas, University of Crete & FORTH-ICS, Greece Katerina Vrotsou, Linköping University, Sweden Chaoli Wang, University of Notre Dame, USA Junpeng Wang, Visa Research Chen Wei, Zhejiang University, China Yingcai Wu, Zhejiang University, China Jiazhi Xia, Central South University, China Panpan Xu, Bosch Research Hongfeng Yu, University of Nebraska-Lincoln, USA

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CDVE2021 CFP: The 18th International Conference on Cooperative Design, Visualization and Engineering
by cdve .org 13 Dec '20

13 Dec '20

*CDVE2021 Call for papers* www.cdve.org, email: cdve2021(a)easychair.org To face the challenges of the pandemic COVID19, cooperative work via computer becomes a crucial technology to continue our daily life and work. CDVE2021 will continue to be a global meeting forum for the researchers and professionals working in cooperative design, visualization, engineering and any areas of cooperative work via computer. The CDVE2021 conference will be held during October 24-27, 2021 in Bangkok, Thailand. You are invited to submit unpublished papers. The conference proceedings of CDVE2021 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. Selected papers will be invited to fully expand to be included in special or normal issues of a couple SCI indexed journals. Please go to our conference web page the related topics, paper format and submission details. The submission page is: https://easychair.org/conferences/?conf=cdve2021 . To see how to write a paper and how we evaluate the papers, please see https://www.cdve.org/evaluate.html *Abstract submission* (non-compulsory) - 2 pages Submission deadline: Feb 15, 2021. You will receive some feedback to help before your complete paper writing. *Full paper * Submission deadline: April 10, 2021. Notification of acceptance: May 20, 2021 Final camera ready paper due and registration for accepted paper authors : June 20, 2021 *Short paper* Submission deadline: April 20, 2021. Notification of acceptance: May 20, 2021 Final camera ready paper due and registration for accepted paper authors : June 20, 2021 *Poster Paper submission* Submission deadline : June 10, 2021 Notification of acceptance: June 20, 2021 Final camera ready paper due and registration for accepted paper authors : July 31, 2021 *Contact* All questions about submissions should be emailed to cdve2021(a)easychair.org Please feel free to forward this call. You can also reply to this mail with a mail title: “Unsubscribe” to stop receiving further calls from CDVE2021.

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postdoc position at the Research Unit Visual Analytics (TU Wien)
by Miksch Silvia 12 Dec '20

12 Dec '20

We are looking for exceptionally talented and highly motivated candidates to fill the following open postdoc position at the Research Unit Visual Analytics (TU Wien) (https://informatics.tuwien.ac.at/orgs/e193-07) For details, please see the TU Wien Bulletin, issue 2020/52 (https://tiss.tuwien.ac.at/mbl/blatt_struktur/anzeigen/10438#p510.3) (text in German, because being fluent in the German language both orally and in written form is mandatory). Closing date for applications: December 31, 2020 The position will be filled earliest as possible. The Vienna University of Technology aims for enhancing the number of women in scientific positions and therefore, particularly invites women to apply. Applicants are not entitled to claim reimbursement of traveling expenses and/or other costs caused by the application procedures. Best regards, Silvia Miksch ================================================================ Silvia Miksch, Univ.-Prof. Ph.D. MSc. Vienna University of Technology (TU Wien) Faculty of Informatics Institute of Visual Computing and Human-Centered Technology Favoritenstrasse 9-11 / 193-07 (188-1) A-1040 Vienna, Austria, Europe email: silvia.miksch(a)tuwien.ac.at url: https://www.cvast.tuwien.ac.at/team/silvia-miksch =================================================================

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