December 2020 - Infovis

CfP: EuroVis 2021 - Full Papers
by Borgo, Rita 09 Dec '20

09 Dec '20

EuroVis 2021 Call for Papers With this call for papers, we invite submission of high-quality papers that will set the standard astimulate future trends in the field of visualization and visual analytics. Accepted full papers will be published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. All accepted papers will be presented orally at the conference. EuroVis 2021 (https://www.eurovis.org/) will be held in Zürich, Switzerland on June 14-16, 2021. We encourage submissions from all areas of visualization and visual analytics. Suggested topics include, but are not limited to: * Techniques: novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. All sub-areas of data visualization and visual analytics are welcomed, including high-dimensional, time-series, spatial, geographic, text, hierarchical, and network data. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization). * Systems: new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems. * Applications & Design Studies: novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical sciences, life sciences, social sciences, engineering, arts, sports, and humanities. * Evaluation & Empirical Research: Comparative evaluation of competing visualization approaches; controlled experiments to inform visualization best practices; longitudinal and qualitative studies to understand user needs, visualization adoption, and use. * Theory: models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation. For a wider range of paper types, please see “Broadening Intellectual Diversity in Visualization Research Papers<http://cmci.colorado.edu/visualab/papers/19-CGA-ContributionTypes.pdf>” by B. Lee et al. SUBMISSION INSTRUCTIONS The maximum lengths for submitted papers to the full papers track is 10 pages (in Computer Graphics Forum (CGF) style, including all images, but excluding references). Authors are encouraged to use supplementary documents to provide extra content. Papers exceeding the maximum allowed number of pages will be automatically rejected. Submissions must be made using the Computer Graphics Forum style, using the conference LaTeX template for full papers. A LaTeX style sheet and overleaf template will be provided as well as a sample document explaining the required format. Authors have the option to submit their papers anonymously. In contrast to previous years, double-blind reviewing is optional, not required: authors may choose to disclose their identities to the reviewers. The reviewing process does not consider anonymity as a factor. The process will attempt to preserve anonymity of authors of anonymized submissions. However, the program committee, which is responsible for half of the reviews, will know the authors of submissions reviewed by them. Authors have the option of submitting additional material with their submissions. Supplementary materials, such as videos and supporting data, are encouraged. For papers that have previously been reviewed for other venues and have been rejected or withdrawn, the authors are strongly encouraged to provide the original submission with a cover letter describing the changes they have made to comply with reviewers' comments and requests. All full papers accepted to EuroVis appear in a special issue of Computer Graphics Forum, containing the conference proceedings, and will appear at the same time in the Eurographics digital library. EuroVis submissions and papers are subject to the pre-print and self-archiving policies of the Computer Graphics Forum journal. Details are available from the journal web site: https://authorservices.wiley.com/author-resources/Journal-Authors/open-acce… Given the uncertainty due to the pandemic, further details will be communicated regarding possible Open Access charges. Abstracts and full papers are submitted using the Precision Conference System (PCS): https://new.precisionconference.com/eurovis21a Please note you shall select Eurographics as Society. Submission of an abstract is mandatory by the abstract deadline, with completed papers due on by the full paper deadline. Submissions will not be accepted if an abstract is not submitted by the abstract deadline. Abstract submissions require the title, authors, paper type, abstract, and keywords in the form. The remaining fields (the document, additional material) are submitted by the full paper deadline. Please note that EuroVis accepted papers are published as a regular-length journal article, so submitting just an abstract is not sufficient. Submitters should choose keywords and categories appropriate for their paper as this information is used in reviewer selection. For more details please see the EuroVis 2021 website: https://www.eurovis.org/index.php/for-submitters/full-papers/ IMPORTANT DATES Abstract deadline: November 25, 2020 (Wednesday!) Full paper deadline: December 4, 2020 Reviews available, rebuttal start: January 27, 2021 Rebuttal deadline: February 1, 2021 First Round Notification: February 19, 2021 Revised Submission: March 10, 2021 Final Notification: March 26, 2021 Camera Ready Version: April 19, 2021 All submission deadlines are at 23:59 GMT on the date indicated. For any questions concerning full paper submissions please contact the full papers chairs: fullpapers(a)eurovis.org FULL PAPERS CHAIRS Rita Borgo, King’s College London, UK G. Elisabeta Marai, University of Illinois at Chicago, USA Tatiana von Landesberger, Technische Universität Darmstadt , Germany

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ETRA 2021: CALL FOR TUTORIAL PROPOSALS
by Soha Rostaminia 08 Dec '20

08 Dec '20

Since ETRA'16 tutorials are part of ETRA conference being an important platform for the up-to-day knowledge sharing within the eye tracking community. The tutorials are meant to be a platform for sharing in-depth information on eye tracking methodology, data analyses, visualizations, and applications in different fields. ETRA'21 will include a number of half-day and full-day tutorials, where experts in the field cover a topic related to eye tracking or eye movement research within the general theme of the conference "Bridging the Communities". All tutorials as the whole ETRA’21 conference are going to be online only. We encourage all experienced eye tracking researchers to submit the tutorial propositions which are going to be of high importance for the field. The submission should include the A) extended abstract (up to 350 words), B) tutorial scope (up to 100 words), C) tutorial audience (up to 100 words), D) bio sketch of the teacher(s) (up to 100 words). Indicate also, which conferencing and communication technologies you plan to use for various activities. The deadline for the submission is March 28, 2021. Submissions can be made through the submission form https://forms.gle/iLR5WWEn2vkcSH8J9 <https://forms.gle/iLR5WWEn2vkcSH8J9> For questions, please email Krzysztof Krejtz (kkrejtz(a)swps.edu.pl <mailto:kkrejtz@swps.edu.pl>) or Roman Bednarik (roman.bednarik(a)uef.fi <mailto:roman.bednarik@uef.fi>) ETRA 2021 Tutorial Chairs. Kindest Regards, ETRA 2021 publicity chair, -------------------------------------------------------------------------- Soha Rostaminia (people.cs.umass.edu/~srostaminia/ <http://people.cs.umass.edu/~srostaminia/>) College of Information and Computer Sciences, UMass Amherst

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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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