July 2021 - Infovis - infovis.org

Final CfP: Machine Learning from User Interactions (MLUI) 2021 Workshop at IEEE VIS
by John Wenskovitch 19 Jul '21

19 Jul '21

*Call for Participation:* Machine Learning from User Interactions (MLUI) Workshop at IEEE VIS 2021 The Machine Learning from User Interactions (MLUI) workshop is back for a 4th year. In this workshop, we seek to bring together researchers to share their knowledge and build collaborations at the intersection of the Machine Learning and Visualization fields, with a focus on learning from user interaction. Rather than focusing on what visualization can do to support machine learning (as in current Explainable AI research), this workshop seeks contributions on *how machine learning can support visualization*. Such support incorporates human-centric sensemaking processes, user-driven analytical systems, and gaining insight from data. Our intention in this workshop is to generate open discussion about how we currently learn from user interaction, how to build intelligent visualization systems, and how to proceed with future research in this area. We hope to foster discussion regarding systems, interaction models, and interaction techniques. MLUI 2021 largely plans to continue the momentum in this research area that the previous workshops have initiated. This year, we plan to accept both short and long papers jointly in the same submission block. Full papers have a length of 5-10 pages (not including references), while short papers are 2-4 pages (plus references). Short papers are intended to capture either (1) limited aspects of a larger work that fit our call or (2) late-breaking work not yet mature enough for a full paper submission. The option of submitting a short paper replaces the posters track that we previously offered at MLUI. Submissions will be reviewed by a committee of reviewers that we will organize. This committee will include the workshop committee members. The size of the committee will be determined by the number of submissions, such that each submission is reviewed by at least 2 committee members. Both full and short paper metadata (author information, title, university, etc.) as well as the submissions themselves will be posted to the workshop website in advance of the event. Workshop papers will be archived on IEEE Xplore following the conference. *Website:* https://learningfromusersworkshop.github.io/ *Submission deadline:* July 30, 2021 *Author notification:* August 15, 2021 *Workshop dates:* TBD, held with IEEE VIS (October 24-29, 2021)

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Job Announcement: 2 University Assistants (prae doc) at the Research Group Visualization and Data Analysis, University of Vienna
by Michaela Hubweber 16 Jul '21

16 Jul '21

The University of Vienna seeks to fill the position as soon as possible of 2 University Assistants (prae doc) at the Research Group Visualization and Data Analysis. The research group Visualization and Data Analysis (Univ.-Prof. Dr. Torsten Möller, Dr. Laura Koesten) at the Faculty of Computer Sciences invites applications for the position of a research assistant aiming at a PhD degree. We seek a highly motivated PhD researcher with a background in computer science, information science, or a related field. The successful applicant has the opportunity to propose their own project idea (in the areas of data science, data visualization, data practices or research data management) or to work in collaboration with the project “Talking charts”, funded by the Vienna Science and Technology Fund (WWTF). The duration for this prae doc position is 4 years starting in the mid of October. Applications including a letter of motivation, a full detailed curriculum vitae (including contact information of 3 referees), and a research statement should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at <http://jobcenter.univie.ac.at/>) no later than 29.07.2021 (Reference number: 12127) or 4.8. (Reference number: 12125), mentioning reference number. The detailed job call and application procedure can be found at: https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibun… <https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibun…> https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibun… <https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibun…>

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CfP: 6th Workshop on Visualization for the Digital Humanities
by Abdul Rahman, Alfie 12 Jul '21

12 Jul '21

======================================================================== Call for Participation 6th Workshop on Visualization for the Digital Humanities 24th October, 2021 http://vis4dh.dbvis.de/ ======================================================================== We are pleased to announce a call for papers for the 6th Workshop on Visualization for the Digital Humanities, “VIS4DH”, under the theme of The Politics of Scale. This will be a full-day workshop taking place as part of IEEE VIS 2021. This year, you can contribute to VIS4DH 2021 in two ways - you can submit to the Paper track (see below), or you can submit to the Provocations track, which will be published by end of May. Our call for submissions is open to all fields of the humanities, social sciences and all branches of visualization. The workshop is intended to put different ways of seeing, knowing, articulating, and transforming arguments into dialogue in order to foster and to intensify collaborations between humanities and visualization researchers. We are particularly interested in papers and provocations that bring different disciplines together. More information is available on http://vis4dh.dbvis.de/. _______________________________________________ # CfP - Paper Track This year, VIS4DH will revolve around the topic of “scale”. Visualization is often celebrated as a method to facilitate the exploration and interpretation of “big data”. But is scale a relevant yardstick to measure and characterize the challenges connected to humanities research questions? Scholars have warned about the development and focus on large-scale digital infrastructures within the humanities, suggesting that smaller datasets and lighter infrastructures could better support the needs of humanist researchers. Additionally, critical voices have pointed out the risk of reproducing assumptions about dominant cultures and groups while further marginalizing those who are less likely to be remembered. ‘Data humanism’ has been proposed to highlight the creative potential of “small data” in terms of personal impact. Choices of scale—in terms of data, tools, or teams—influence not only project outcomes but also research methods and processes. This year, we invite work around (but not limited to) the following questions: - Large scale approaches have been said to easily ignore context, to fetishize size and inflate their technical and scientific capabilities, which they rarely deliver. How can we mitigate these issues and effects of scale for existing large scale data infrastructures? - What other motivating factors should be taken into account regardless of scale? Are “volume, velocity and variety” our defining challenges, or should we deliberately shift the problem characterization in humanities projects towards data scarcity, sparsity, polysemy, uncertainty, historicity, quality, and contextuality? - What goes unseen when we look at massive datasets and large trends? How can information visualization techniques assist in bridging small and large scale findings? - How can we envision small data, small processes, small impact for visualization in the humanities? - What trade-offs in visibility (and in-visibility) are made when we consider different scales in projects at the intersection of visualization and the humanities research? - How can research at the intersection of visualization and the humanities counteract the dangers of data colonialism and of excluding marginalized positions? We invite papers at the intersection of visualization and (digital) humanities that provide both theoretical and applied perspectives around these and other questions. For our paper track we are seeking works from scholars in visualization, the humanities, social science, and the arts who use visualization as part of the process of analyzing and interrogating human culture. Submissions will present original research ideas or results as they relate to visualization for the digital humanities. Each submission should clearly state its specific contribution to this growing field of research. # Submission format Submissions will take the form of short (4-6 page - excluding references) papers. Submissions are meant to describe and critically discuss works at the intersection of visualization and humanities research, including applied case studies and empirical results and/or theoretical perspectives. We welcome works that highlight the difficulties (and proposed solutions) of designing visualizations in the context of humanities research and/or applying concepts from humanities research to foster visualization research and design. Authors of accepted papers will be invited to present their paper at the workshop as a pre-recorded video plus online discussion. All presentations will be followed by a lively discussion with workshop participants. The archiving and publication options for VIS4DH 2021 are still under development and will be detailed soon. # Submitting a paper Paper submissions should be in PDF format following the two-column IEEE TVCG Conference Style Template (http://junctionpublishing.org/vgtc/Tasks/camera.html) Papers should be submitted via PCS (https://new.precisionconference.com/vgtc) Submission deadline will be *July 23, 2021 (5pm PST)*. Notifications will be sent on August 16, 2021. Deadline for submitting a video of the pre-recorded talk is on September 1, 2021. Submissions to the Paper Tracks will be optionally double-blind. Authors wishing to submit their work double-blind should remove author information from the cover page of their submitted document, and take care to avoid identifying information in the submission itself. _______________________________________________ # CfP - Provocations Track Submissions to the VIS4DH Provocations track will take the form of a paragraph articulating a strongly-held viewpoint that addresses a particular perspective on this year’s workshop topic, *The Politics of Scale*. We especially seek submissions that likely will promote back-and-forth debate within the interdisciplinary VIS4DH community. This year’s submissions to the Provocations track should reflect on one or several of the following questions: - What are the dangers of subscribing exclusively to either large-scale or small-scale approaches at the intersection of visualization and humanities research? - Is the dichotomy “large-scale or small-scale” real or perceived? And how much do questions of scale matter, if at all? - Do large-scale approaches to data and visualization promote dominant cultures? How do they play into existing marginalizations and biases in society? - Are questions of scale inherently political, and if so, in what sense? What is their influence on methodological choices? # Submission format Submissions to the Provocations track should take the following format: - Title: Provide a title that roughly describes the topic of your provocation/viewpoint. - Summary of provocation (1 sentence): One-sentence summary that describes the essence of your viewpoint/argument. - Provocation statement & argument (200 words): Provides a brief description of your provocation and its argument. - Counter-Perspective(s) (optional, 100 words): Provides potential counter-arguments to your provocation. Accepted authors will be invited to present their viewpoint and argument in the form of a panel discussion at the workshop. Accepted provocations will also be published on the workshop website. Submissions will be judged based on the quality of the argument they make as well as their likelihood of provoking fruitful discussion. Provocations presented and discussed at VIS4DH 2020 can be found at https://vis4dh.dbvis.de/2020/provocations/. # Submitting a provocation Submissions to the Provocations Track should be submitted via EasyChair (https://easychair.org/conferences/?conf=vis4dh21) by *August 27, 2021 (5pm PST)*. Notification will be sent on September 10, 2021. _______________________________________________ # Important Dates [Papers] Submission Deadline: 23 July, 2021 (5pm PST) Notification Deadline: 16 August, 2021 Camera Ready Submission Deadline: 1 September, 2021 [Provocations] Submission deadline: 27 August 2021 (5pm PST) Notification Deadline: 10 September 2021

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Job Announcement: University Assistant (prae doc) at the Research Group Visualization and Data Analysis, University of Vienna
by Michaela Hubweber 12 Jul '21

12 Jul '21

The University of Vienna (20 faculties and centres, 178 fields of study, approx. 9.800 members of staff, about 90.000 students) seeks to fill the position from 15.10.2021 of a University Assistant (prae doc) at the Research Group Visualization and Data Analysis Reference number: 12127 The research group Visualization and Data Analysis (Univ.-Prof. Dr. Torsten Möller, Dr. Laura Koesten) at the Faculty of Computer Sciences invites applications for the position of a research assistant aiming at a PhD degree. We seek a highly motivated PhD researcher with a background in computer science or a related field. We expect a high motivation to learn and engage with real world data, people and problems in an interdisciplinary setting. The successful applicant has the opportunity to propose their own project idea or to work in collaboration with the project “Transparent and explainable models”, funded by the Vienna Science and Technology Fund (WWTF) described below. The applicant should be confident in engaging with different audiences and bring motivation to write scientific papers for journals and conferences. There will be the possibility to collaborate with other students. We offer a pleasant work environment within a friendly, dynamic, international and young team in Vienna, one of the cities with the highest quality of life worldwide. The working language is English, and we are committed to diversity and inclusion. There are many opportunities to grow academically as well as personally, including the opportunity to act as possible team leads in research projects, engage in exchanges on an international scale and develop contacts to industry. We provide a close and supportive supervision of the thesis work and a highly collaborative research environment. There is an option to extend the contract after the PhD defense in the context of further academic training. The University of Vienna intends to increase the number of women on its faculty, particularly in high-level positions, and therefore specifically invites applications by women. Your application: Applications including a letter of motivation (English or German), your curriculum vitae (CV), a list of publications and teaching experience (if applicable) and copies of degree certificates should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at <http://jobcenter.univie.ac.at/>), mentioning the reference number. We strongly encourage people from underrepresented groups to apply. For the full description of this position, please see: https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibun… <https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibun…>

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Call for participation: DIAGRAMS 2021
by Mikkel Willum Johansen 08 Jul '21

08 Jul '21

Dear all The list of accepted papers and tutorials for the Diagrams 2001 conference is now ready, and the conference is open for registration of participants. Registration is free, but please register no later than July 31 to ensure your place. See more in the call below or on the conference webpage: www.diagrams-conference.org/2021<http://www.diagrams-conference.org/2021> All the best, Mikkel *** CALL for PARTICIPATION: 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 Accepted papers and tutorials are listed on the website: http://www.diagrams-conference.org/2021/index.php/program/ ***************** Registration is Open ***************** Visit http://www.diagrams-conference.org/2021/index.php/registration/ to register for Diagrams 2021. To ensure your place at Diagrams 2021, please register by July 31, 2021. After that date, a limit will be imposed on future registration numbers, due to organisational constraints. There is a small cost incurred, covered by the conference organising team, for each person that registers. Therefore please only register if you intend to participate in the event. ***************** Keynote Speakers ***************** Shaaron Ainsworth, University of Nottingham Daniel Rosenberg, University of Oregon Katarina Scheiter, University of Tubingen Atsushi Shimojima, Doshisha University Frederik Stjernfelt, Aalborg University of Copenhagen Francesco Bellucci, University of Bologna, is the Inspirational ECR Speaker for Diagrams 2021 ******************* Novel Program Schedule ********************* Diagrams 2021 will adopt a novel approach to scheduling talks, to accommodate different time zones across the globe. See http://www.diagrams-conference.org/2021/index.php/program/ for more details. ________________________________ Mikkel Willum Johansen Associate professor Department of Science Education University of Copenhagen Tlf: (+45) 28 72 84 41

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Re: [Infovis] Infovis Digest, Vol 182, Issue 2
by Sohaib Ghani 04 Jul '21

04 Jul '21

*VISUALIZATION SCIENTIST POSITION AT KAUST VISUALIZATION CORE LAB* *Description:* The KAUST Visualization Core Lab (KVL) is seeking a highly motivated and collaborative scientist with a strong background in HPC visualization design and support. KVL advances the KAUST mission by providing cutting-edge visualization and data science services; collaborating with domain researchers to accelerate discoveries through large-data visualization, machine learning, and data science; and supporting the needs of KAUST and in-Kingdom entities by providing access to and training on state-of-the-art visualization hardware and software for scientific discovery. The scientist will work in collaboration with other team members to build cutting-edge interactive scientific visualization workflows for domain scientists and industry partners on a variety of platforms, including ultra-high-resolution tiled displays and virtual reality environments. The scientist will also design and implement HPC visualization and analysis pipelines from simulations running on supercomputing facilities at KAUST, including Shaheen (KAUST’s Cray XC40 system) and other HPC GPU-based clusters. The scientist should be equally comfortable in software development, scientific visualization, HPC systems, and big data. Some knowledge of deep learning techniques and willingness to learn and explore the data science area will also be required. The candidate is expected to keep abreast of current scientific developments in the field and must be able to work under strict deadlines. *Major Responsibilities:* § Provide HPC visualization and data science support to research endeavors across campus § Maintain accurate documentation and training guidelines for software and hardware visualization tools § Propose, evaluate, and deploy new technology solutions for visualization and data science workflows in collaboration with other KVL staff and users *Qualifications & Competencies:* § Ph.D. in computer science or related field with demonstrated relevant expertise § Experience in scientific and HPC visualization application design, implementation, and workflow development § Experience with GPUs and accelerator technologies in large-scale networks § At least two years of experience in one or more of the following areas: C, C++, MPI, OpenMP, Python, VTK, Avizo, Paraview, ilastik, VisIt, etc.; as well as proficiency with basic libraries for machine learning § Excellent oral and written communication skills in English *More Information:* https://bit.ly/VisualizationStaffScientist If interested, please e-mail: jysoo.lee(a)kaust.edu.sa & anton.oltar(a)kaust.edu.sa <https://www.eurovis.org/index.php/for-attendees/job-postings/anton.oltar@ka…> Founded in 2009, King Abdullah University of Science and Technology (KAUST) is a top-ranking graduate research university located on the shores of the Red Sea in Saudi Arabia. The University is dedicated to solving global challenges in the areas of food, water, energy, the environment, health, and digital. KAUST employees enjoy exceptional packages, including competitive salaries and relocation allowances, fully furnished on-campus accommodation, and comprehensive health insurance coverage. KAUST also provides international schools (IB program) and a wide variety of recreation facilities. The Core Labs at KAUST is a shared research facility comprised of 12 laboratories run by over 240 staff. Its mandate is to promote the scientific ambitions of KAUST and Saudi Arabia by stewarding and developing state-of-the-art facilities and technical expertise and delivering research support, training, collaboration, and services to KAUST faculty, students, researchers, and partners. Thanks Regards, Dr. Sohaib Ghani, Lead Visualization Scientist, KAUST Visualization Core Lab, King Abdullah University of Science and Technology, Email: sohaib.ghani(a)kaust.edu.sa >

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Postdoc Position in Ocean Observation, Analysis and Prediction
by Charles Perin 02 Jul '21

02 Jul '21

Hi, As part of a large scale, multi-institution, interdisciplinary project we are looking for a postdoc in Ocean Observation, Analysis and Prediction. One of the topics is "data science, interactive visualization and visual analytics" - and it's an opportunity to do some really interdisciplinary work on an exciting societally-relevant topic. It's also a position that comes with responsibilities beyond publishing, including teaching and mentoring, seminars and workshops, and interactions with government/industry/NGO. Ad available at https://web.uvic.ca/~cperin/misc/PRODIGY_pdf_ad.pdf - Charles --- Charles Perin | Assistant Professor | University of Victoria | http://charlesperin.net

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Open PhD Position in Information Visualization / Visual Analytics at Linköping University, Sweden
by Andreas Kerren 01 Jul '21

01 Jul '21

*** Apologies for cross-posting *** We are seeking for an engaged and bright PhD student to work with us in the areas of Information Visualization and Visual Analytics. The main focus of the advertised position (ref. LiU-2021-02831) is the visual analysis of large and complex, multivariate networks and/or text data. Research in this doctoral project will involve foundational visualization principles, techniques and visual analytics tools for analyzing heterogeneous network/text data coming from various data sources. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data streams, and/or user data collected during the analytical process. Main supervisor will be Prof Andreas Kerren (andreas.kerren(a)liu.se) Please visit the official vacancy website of Linköping University for a more detailed description of the topic, formal requirements, and on how to apply for this position: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16881&rmlang=UK The application deadline is August 20, 2021. Note that a PhD position in Sweden is a salaried employment with the right to social benefits. As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time. The PhD thesis must be completed and defended within the official appointment up to a maximum of five years (i.e., 4 years doctoral studies and 1 year departmental tasks, full-time equivalent). The advertised position will be placed in the iVis research group (http://bit.ly/ivis-liu) led by Prof Andreas Kerren, Linköping University, Norrköping Campus, which is part of the division for Media and Information Technology. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge through the combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies. Please share this message with any great candidates. Best regards, Andreas Kerren iVis Group @ Linköping University

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