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2nd CFP: IUI Workshop on Exploratory Search and Interactive Data Analytics (ESIDA)
by Axel Soto 07 Dec '20

07 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: December 23, 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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Postdoc Position at CU Boulder Geography
by Morteza Karimzadeh 02 Dec '20

02 Dec '20

Dear Colleagues, Our postdoc opportunity might be of interest to you or your team members. The start date is very flexible, and the candidate does not need to check all these boxes, since they will be part of an interdisciplinary team. The bullet points indicate our wish list. Creating software infrastructure for interactive labeling and deep learning to facilitate earth data fusion is central to this position, and we anticipate user studies with expert geoscientists in the future. Regards, Morteza Morteza Karimzadeh, PhD Assistant Professor Department of Geography Affiliate Assistant Professor, Computer Science, Information Science University of Colorado Boulder Traditional Territories of the Arapaho, Cheyenne and Ute Nations 303-492-3252 karimzadeh(a)colorado.edu<mailto:karimzadeh@colorado.edu> Transdisciplinary Postdoctoral Research Associate Position in Spatial Data Science and Geoscience University of Colorado Boulder, Boulder, CO Starting date (very flexible): 1/7/2021 Application review begins December 7, 2020 on a rolling basis until the position is filled. We invite applications for a postdoctoral research associate position at the Department of Geography, University of Colorado Boulder (CU Boulder), with a flexible starting date of 1/7/2021 and possibility for remote work, although the ability to work on the CU Boulder campus in the long term is desirable. The initial offer is for 12 months, with potential for renewal contingent upon favorable progress. The postdoctoral scholar will primarily work on a recently funded NSF EarthCube project (Data Capabilities: Enabling Analysis of Heterogeneous, Multi-source Cryospheric Data, Award# 2026962) under the supervision of principal investigator, Dr. Morteza Karimzadeh. The project is focused on creating software systems and cyber-infrastructure for harmonizing heterogeneous big data products (including satellite imagery and in situ observations) in a cloud environment for various downstream tasks. The technologies developed are expected to be extendable to a variety of applications, but for this project, the focus will be on classification and mapping of sea ice. Sea ice is an important component of the climate system and a key indicator of climate change. Sea ice is spatiotemporally dynamic, exhibiting a variety of evolving ice types that need classification for scientific analysis or operational planning. The mapping of sea ice at high spatial and temporal resolutions remains a scientific challenge. With the increasing availability of high-resolution remote sensing products such as SAR and lidar, there is a renewed desire for tackling this challenge. However, bridging data science and geoscience is key in successfully harnessing these large heterogeneous data for sea ice mapping. The postdoctoral position will be homed in the Geography Department at CU Boulder and will actively collaborate with the co-PIs, scientists and students in the National Snow and Ice Data Center (NSIDC) and CU Denver’s Department of Computer Science. The postdoc duties will include: * Design and implement software and computational modules in collaboration with the team’s sea ice scientists, remote sensing experts, and spatial data scientists. * Draft and lead scholarly publications and reports. * Assist the PI with leading research activities within the group and project management. * Assist the PI with user evaluations and stakeholder engagement at NSIDC, NOAA, NCAR, the U.S. National Ice Center (NIC) and the Canadian Ice Service (CIS). * Assist in supervising graduate and undergraduate students in the team. * Assist in drafting successful research grant proposals. * Interface with other research groups at and beyond the NSF EarthCube community and the University of Colorado. * Work with research assistants to prepare training and outreach material, including easy-to-use Jupyter notebooks for product adoption. Given the transdisciplinary nature of this postdoctoral position, we expect that the candidate has foundation in either one or both spatial data science and/or geosciences, with the position strengthening the postdoc’s expertise in both disciplines. The qualified candidate will possess a majority of the following, with interest in developing the rest: * A Ph.D. in geography, geoscience, computer science, information science, statistics, or a cognate field is mandatory. * Research background and expertise in applied machine learning and particularly, deep learning. * Background and experience working with, spatial data, geographic information systems and earth observations. * Familiarity with passive and active microwave imagery, airborne and spaceborne lidar altimetry is desirable (examples include SAR imagery from Sentinel-1, lidar altimetry data from Operation IceBridge, ICESat and ICESat-2, and radar altimetry data from CryoSat-2). * Programming skills in Python, Scikit-learn and deep learning libraries (TensorFlow, or Keras or PyTorch). Working ability with R and its spatial packages is a plus. * Interest or background in visual analytics for interactive machine learning is desirable. * Experience working with cloud storage and compute instances is desirable. * Experience in working with the output of climate models is desirable. * Front-end development and visualization skills using D3.js, leaflet.js and the React framework is desirable. * Excellent oral and written communication skills. Both beginning and senior postdoctoral candidates are encouraged to apply. To apply, please upload your CV, a research statement (no more than one page) and the contact information of references to the application portal: https://jobs.colorado.edu/jobs/JobDetail/Postdoctoral-Associate/27487 Please direct your questions to Dr. Morteza Karimzadeh (karimzadeh(a)colorado.edu<mailto:karimzadeh@colorado.edu>). Applications will be reviewed on a rolling basis starting December 7, 2020 until the position is filled.

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CfP CG&A Special Issue on Visualization Education and Teaching Visualization Literacy: >April, 28, 2021.
by Benjamin Bach 26 Nov '20

26 Nov '20

Dear Colleagues, It is our great pleasure to announce the call for papers for our Computer Graphics and Applications (CG&A) Special Issue on Visualization Education and Teaching Visualization Literacy. Please help us spread the word as we solicit submissions from across the disciplines. The deadline for submission is April 28, 2021 with a publication date around November/December 2021 (set by CG&A). https://www.computer.org/digital-library/magazines/cg/call-for-papers-speci… <https://www.computer.org/digital-library/magazines/cg/call-for-papers-speci…> Focus and relevance: Visualisation literacy is the ability to read, write and create visualizations of data using digital or physical representations. This is a key asset for any informed use and critical engagement with visual representations of data. With the increasing use of visualizations, it is becoming essential for everybody to be able to understand and use visualizations to prevent misuse and misinterpretation of visually represented data. Visualisation literacy includes skills related to the design, reading, interpretation, critical discussion, as well as interaction and effective communication with data and visualisations. While structured guidelines and extensive empirical knowledge exist on how to visually represent data, there is little foundational and empirical knowledge about how to teach and train visualisation literacy skills for specific sectors (e.g., professionals in an industry, children, etc.) and general audiences. In addition, visualisation literacy is key for a society of critical and informed citizens, effective analysts, informed decision-makers, and honest advocates for the use of data that supports human values. Building knowledge around teaching and learning visualization and visualization literacy is challenging because of the open and broad nature of visualisation and its wide application to different domains and audiences that engage in a variety of activities following different conventions. This special issue calls for ground-breaking work to advance our knowledge around education in visualization. This includes advances in how to teach visualization to diverse audiences and in diverse settings; which skills to teach (e.g., design, critical thinking, data literacy, programming, interacting with data), in which contexts we teach visualization (e.g., storytelling, formal education, professional development, collaborations), to which audiences (e.g., scientists, developers, designers, collaborators) in which domains we teach visualization (e.g., data science, journalism, business), what forms visualization education can take (e.g., autodidactic learning, online learning, educating professionals, games, storytelling), and which materials (e.g., schemas, tools, cheat sheets, toolkits) and activities we use to educate (e.g., design cards, sketching, physicalizing, elicitation, peer feedback). Answers to these questions are crucial, not only to new university faculty and visualization instructors (few of which had the chance to enjoy formal training in pedagogy), but also practitioners in visualization, news agencies, museums, curriculum writers, businesses, school teachers, and many others. At the same time, being part of the global scientific community at the forefront of knowledge generation, it is our mission to engage with the wider community to transfer our knowledge in creative and effective ways. This Special Issue asks for original, unpublished, contributions—research, opinions, and surveys—from a wide variety of domains including visualization, pedagogy, social science, psychology, human-computer interaction, data science, and other related disciplines. Topics: Learning material, tools, and resources to support in-class learning and beyond Learning goals, skill sets, taxonomies Visualization guidelines and approaches to making data visualization knowledge and practical skills available to a wider audience in a structured form Guidelines to help novice teachers teach visualizations Critical reflections on conducting visualization activities and classes (teaching experience), Evaluation strategies for learning activities, material, classes, methods Assessment strategies to test for visualization knowledge and literacy Teaching activities for in-class engagement (classroom, workshop, etc.) Teaching approaches and methodology Surveys and reviews on teaching methods and materials for visualization Ethical, social, and critical considerations on visualization education Studies on visualization literacy and engagement Guest Editors: Benjamin Bach, University of Edinburgh, bbach(a)ed.ac.uk <mailto:bbach@ed.ac.uk> Samuel Huron, Institut Polytechnique de Paris samuel.huron(a)telecom-paris.fr <mailto:samuel.huron@telecom-paristech.fr> Uta Hinrichs, University of St. Andrews, uh3(a)st-andrews.ac.uk <mailto:uh3@st-andrews.ac.uk> Jonathan Roberts, Bangor University, j.c.roberts(a)bangor.ac.uk <mailto:j.c.roberts@bangor.ac.uk> Sheelagh Carpendale, Simon Fraser University, sheelagh(a)sfu.ca <mailto:sheelagh@sfu.ca> The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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2nd CFP: Targeting Environmental Challenges Using Interactive Visual Technology, for a special issue of Sustainability journal
by Masood Masoodian 23 Nov '20

23 Nov '20

*CFP: Targeting Environmental Challenges Using Interactive Visual Technology** **A special issue of Sustainability Journal** **Final deadline for manuscript submissions: 31 March 2021*****(*****manuscripts* are reviewed when they are submitted***) *https://www.mdpi.com/journal/sustainability/special_issues/environmental_challenges <https://www.mdpi.com/journal/sustainability/special_issues/environmental_ch…> Environmental concerns have now become global challenges faced by the entire world. Human-centered technologies, tools, and services are, therefore, urgently needed to assist people in dealing with these challenges. Interactive visual technologies can play an important role in helping users to become better aware of environmental issues and challenges, and understand their causes, as well as their socio-economic impacts. As a consequence, users can then take environmentally-conscious and appropriate actions, such as conserving energy, consuming natural resources more efficiently, dealing with sustainability-related concerns, and so on. Interactive visual technologies can also, in particular, address human behavior and support changes in negative behavior, which can then result in better achieving environmental user goals. Furthermore, such technologies can be used to create a bridge between environmental sciences and other disciplines, including many life sciences, economics, and sociology. This Special Issue focuses on the role of interactive visual technologies in targeting current and future environmental challenges. The emphasis is on the interactive and visual aspects of such technologies, which might be software applications, tools, visualizations, educational games, gamification, and other digital services in the private, public, or industrial sectors. The topics of interest include, but are not limited to, the design, development, deployment, and evaluation of interactive visual technologies for: - Monitoring and visualization of different kinds of environmental and user data; - Monitoring and detection of human behavior and activity patterns impacting environmental factors, both on the small-scale, individual level and on the large-scale, population level; - Facilitating exploration, interpretation, comparison, explanation, and simulation modeling using different kinds of environmental and user data; - Creating awareness, influencing choices, and encouraging environmentally conscious human behavior changes; - Utilizing different kinds of environmental data to support related applications in other areas, such as education, policy-making, public health, and well-being. For more information, including submission details, please visit https://www.mdpi.com/journal/sustainability/special_issues/environmental_ch… <https://www.mdpi.com/journal/sustainability/special_issues/environmental_ch…> Guest Editors, Masood Masoodian and Thomas Rist -- Prof. Masood Masoodian Visual Communication Design Aalto University avcd.aalto.fi

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EuroVis 2021 Full Papers CFP
by G.Elisabeta Marai 22 Nov '20

22 Nov '20

The EuroVis 2021 Full Papers submission deadline is approaching! See https://www.eurovis.org/index.php/for-submitters/full-papers/ for submission instructions. Please submit your abstracts by Nov 25, 2020 and full papers by Dec 4, 2020. When submitting your paper under http://new.precisionconference.com/, please select "Eurographics" (*not* VGTC) in the first box, and then EuroVis 2021 in the second box. ---The Papers Chairs, ---Tatiana von Landesberger, Rita Borgo, & Liz Marai -- Liz -- G. Elisabeta Marai Associate Professor of Computer Science Electronic Visualization Laboratory University of Illinois at Chicago http://evl.uic.edu/marai

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Two tenure-track positions at Purdue University
by Parsons, Paul 22 Nov '20

22 Nov '20

Dear Colleagues, We are hiring two tenure-track positions at Purdue broadly focusing on human-computer interaction and interactive media. Candidates with a human-centered approach to visualization are encouraged to apply! Review of applications will begin December 1, 2020 and will continue until the positions are filled. Assistant Professor in Human-Computer Interaction The Department of Computer Graphics Technology at Purdue University (CGT) seeks a tenure-track Assistant Professor in the field of Human-Computer Interaction (HCI). An earned doctorate in a field related to Human-Computer Interaction (HCI), completed by August 1, 2021 Focus areas may include interactive computing, computer science, digital media, information sciences, engineering, computational media, information design, tangible and embodied interaction, AR/VR/xR, interactive media development, user experience, and visualization. Evidence of the ability to pursue interdisciplinary funded research and work with and teach diverse groups of students is required. The full advertisement, application requirements, and submission instructions can be found at: https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=11874&compan…. A background check will be required for employment in this position. Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply. Assistant Professor in Interactive Applications Development The Department of Computer Graphics Technology at Purdue University (CGT) seeks a tenure-track Assistant Professor in the field of Interactive Media Development (IMD). An earned doctorate in a field related to interactive media development (IMD) or information science, completed by August 1, 2021. Focus areas may include interactive and human-centered computing, AR/VR/xR, physical computing, computer science, digital media, information sciences, HCI, engineering, computational media, information design, tangible and embodied interaction, user experience, and visualization. Evidence of the ability to pursue interdisciplinary funded research and work with and teach diverse groups of students is required. The full advertisement, application requirements, and submission instructions can be found at: https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=11880&compan…. A background check will be required for employment in this position. Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply. Any questions about these positions should be sent to the search committee chair: Dr. Bedrich Benes (bbenes(a)purdue.edu<mailto:bbenes@purdue.edu>) Department of Computer Graphics Technology Polytechnic Institute Purdue University

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ACM ETRA 2021 Final Call for Full Papers -- Abstract Nov 25, Paper Dec 2
by Kumar, Chandan 22 Nov '20

22 Nov '20

------------------------------------------------------------------------------------------------------------- 13th ACM Symposium on Eye Tracking Research and Applications (ETRA 2021) May 25-29, 2021 Virtual Event http://etra.acm.org/2021/ ------------------------------------------------------------------------------------------------------------- ACM ETRA is the premier forum for Eye Tracking Research and Applications. The aim of ETRA is to bring together researchers and practitioners from across fields with the common goal of continuing to move eye tracking research forward. The symposium presents advances and innovations in oculomotor research, gaze tracking systems, eye tracking applications, gaze-based interaction, and eye movement data analysis. We invite full and short papers in all areas of eye tracking research and applications, and welcome submissions from all domains, including visuomotor neuroscience, perception, and cognition. Papers must be original and not accepted previously for publication elsewhere. All submissions will undergo a double-blind review process assessing the originality and technical quality of the work as well as the relevance for eye tracking research and applications. All accepted papers will be archived in the conference proceedings and will be available in the ACM Digital Library. Important deadlines: --------------------------- Full papers: Abstract submission (mandatory): Nov 25, 2020 Paper submission: Dec 2, 2020 First-round reviews and notifications: Feb 9, 2021 Revisions due: Mar 1, 2021 Second-round reviews and notifications: Mar 18, 2021 Camera-ready deadline: Mar 30, 2021 Short papers submission: Jan 27, 2021 Demos and videos submission: Feb 02, 2021 Workshop proposal submission: Dec 16th, 2020 --------------------------- For more details please visit: http://etra.acm.org/2021/cfp.html Facebook: https://www.facebook.com/ETRAConference Twitter: http://twitter.com/ETRA_conference

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[CFP] BigVis Workshop: Big Data Visual Exploration & Analytics, EDBT 2021, Cyprus
by NIkos 20 Nov '20

20 Nov '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] 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 Special Issue ------------------------------------ Extended versions of the best papers of BigVis 2021 will be invited for submission in a special issue. [TBD] 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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ACM ETRA 2021 - Call For Workshop Proposals
by Kumar, Chandan 16 Nov '20

16 Nov '20

================================================ ACM ETRA 2021 - CALL FOR WORKSHOP PROPOSALS ================================================ Workshops: 25 May 2021 (tentative) ETRA: 25-29 May 2021 (tentative) http://etra.acm.org/2021/workshops.html We invite proposals for workshops to be held in conjunction with ETRA 2021. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges evolving around eye tracking research. It is the perfect opportunity for putting the best minds in the field together to build new communities, to explore new ideas, and to develop emerging topics. We invite submissions of proposals for full-day (6 hours) and half-day (3 hours) workshops. Proposals will be reviewed and evaluated by the workshop chairs. ------------------------------------------------ IMPORTANT DATES ------------------------------------------------ 16 December 2020: Proposals due 22 December 2020: Notifications sent 15 January 2021: Workshop page is online and linked ------------------------------------------------ FORMATS ------------------------------------------------ We encourage you to contact the chairs with your ideas. They will support you in preparing an exciting proposal. We encourage proposals for a wide range of workshops, including but not limited to: "Mini-conferences" on specialized topics: such workshops may have their own paper submission and review processes. "Practical" and “Panel-based” workshops around a specific problem or topic that may wish to ask participants to submit a position statement. "Project centric" workshops that may be closely related to the scope of an existing large scale (e.g. NSF, EU, etc. funded) project. "Mini-competitions", like challenges or hackathons, around selected topics with individual or team participation. Note that in particular organizers of mini-conference workshops are encouraged to think about alternative formats, in case they receive less submissions than expected (e.g., due to the current CoVID-19 situation). Examples include but are not limited to complementing paper presentations with a panel discussion, breakout groups, etc. The organizers of accepted workshops are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the ETRA conference community. Workshop and tutorial organizers will maintain their own website with information about the workshop and the ETRA 2021 web site will refer to this website. The workshop organizers will coordinate the paper solicitation, collection, and review process. -------------------------------------------------- PUBLICATION OF WORKSHOP PROCEEDINGS -------------------------------------------------- This year, ETRA will allow workshop contributions to be published in two different formats: Short Paper Proceedings: Papers with up to 4 pages + any number of pages for references, going through one full review cycle Adjunct Proceedings: Papers with up to 2 pages, going through a less competitive review cycle or juried process. Workshop organizers may choose between both formats and should clearly indicate their preference in their proposal. -------------------------------------------------- PROPOSAL FORMAT -------------------------------------------------- Workshop proposals should be maximum 4 pages long and follow the formatting instructions and template at https://www.siggraph.org/learn/instructions-authors/ Please include the following information in the proposal: Name and title: A one-word acronym and a full title. Description of workshop or tutorial topic: This description should discuss the relevance of the suggested topic to ETRA and its interest for the ETRA 2021 audience. Include a brief discussion of why and for which audience the workshop is of particular interest. Previous history (if applicable): List of previous workshops that were held on the topic including the conferences that hosted past workshops and the number of participants. Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organiser(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. Also please provide a list of other workshops organized by workshop organizers in the past. Workshop program committee (optional): Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop or tutorial. If possible, include the names of people who have expressed interest to participate in the workshop or tutorial. Workshop format: A brief description of the format regarding the mix of events or activities, such as paper presentations, invited talks, panels, demonstrations, teaching activities, hands-on practical exercises, general discussion. Please also list here any material you will make available to participants, e.g. slides, access to hardware/software, handouts, etc. Planned outcomes of the workshop: What are you hoping to achieve by the end of the workshop? Please list here any planned publications or other outputs arising workshops. Backup plan in cases of low number of submissions: The ongoing pandemic situation is expected to have a significant impact on paper submissions, as it has become extremely difficult to conduct proper experiments. Please describe how you have considered this in your program or how you would react to a low number of submissions (e.g. by shortening the workshop, switching to different formats, etc.). Length: Full-day or half-day. -------------------------------------------------- SUBMISSION OF WORKSHOP PROPOSALS -------------------------------------------------- Workshop proposals should be submitted by the deadline via email to the workshop organizers: workshop.etra2021(a)gmail.com<mailto:workshop.etra2021@gmail.com> ------------------------------------------------ WORKSHOP CHAIRS ------------------------------------------------ Florian Alt, Bundeswehr University Munich Thies Pfeiffer, Hochschule Emden/Leer workshop.etra2021(a)gmail.com<mailto:workshop.etra2021@gmail.com>

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EuroVis 2021 Short Papers CFP
by Andreas Kerren 16 Nov '20

16 Nov '20

*** Apologies for cross-posting *** EuroVis 2021 (June 14-18 2021, Zürich, Switzerland) https://www.eurovis.org CALL FOR SHORT PAPERS Due: March 1, 2021 Notification: April 2, 2021 EuroVis 2021 features a short paper track to present late-breaking results, work in progress, and follow-up extensions or evaluations of existing methods. All accepted short papers (4 pages plus an optional page only with references) will be presented orally at the conference. Please submit your work to the Short Papers program! A EuroVis short paper describes a more focused and concise research contribution and is likely to have a smaller -- yet still significant -- scope of contribution than a full paper. Short papers draw from the same paper types as full papers, as well as the same list of suggested topics. The following descriptive examples, which are characterized in contrast to full papers, may be helpful in understanding what kinds of submissions may be suitable for short papers: * A new visualization technique or system and evidence of its utility compared to known techniques or systems (described in sufficient detail to assist an expert reader in replicating the technique or system, but without exhaustive implementation detail and evaluation). * An incremental improvement or variation of an existing visualization technique or system with convincing evaluation. * An extensive evaluation of an existing visualization technique or system. * A well-proven counter-example to an existing visualization technique that helps to understand its limitations. * A new implementation approach that has demonstrably addressed a significant technical issue (without extensive evaluation of the implementation). * A new methodology for designing or studying visualization systems that has demonstrable benefits for the EuroVis community (without extensive evaluation of the methodology). IMPORTANT DATES Submission deadline: March 1, 2021 Notification: April 2, 2021 Camera Ready Version: April 16, 2021 All submission deadlines are at 23:59 GMT on the date indicated. For detailed submission instructions, please see: https://www.eurovis.org/index.php/for-submitters/short-papers/ For any questions concerning short paper submissions please contact the Short Paper Co-Chairs at shortpapers(a)eurovis.org. SHORT PAPERS CHAIRS Marco Agus, Hamad bin Khalifa University, Qatar Christoph Garth, Technische Universität Kaiserslautern, Germany Andreas Kerren, Linnaeus University, Sweden

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