April 2018 - Infovis - infovis.org

Call for Participation: IEEE VIS 2018 Workshop on Machine Learning from User Interaction for Visualization and Analytics
by Chris North 11 Apr '18

11 Apr '18

IEEE VIS 2018 Workshop: MACHINE LEARNING FROM USER INTERACTION FOR VISUALIZATION AND ANALYTICS CALL FOR PAPERS Date and Location: October 21 or 22, 2018 in Berlin, Germany Website: https://learningfromusersworkshop.github.io/ <https://learningfromusersworkshop.github.io/> The goal of this workshop is to bring together researchers from across the VIS community – SciVis, InfoVis, and VAST – 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. Our intention in this workshop is to pull expertise from across all fields of VIS in order to generate open discussion about how we currently learn from user interaction and where we can go with future research in this area. We hope to foster discussion regarding systems, interaction models, and interaction techniques across fields within the VIS community, rather than the current state of having these discussions independently contained within the SciVis/InfoVis/VAST fields. Further, we hope to collaboratively create a research agenda that explores the future of machine learning with user interaction based on the discussion during the workshop. WORKSHOP TOPICS The topic of the workshop will focus on issues and opportunities related to the use of machine learning to learn from user interaction in the course of data visualization and analysis. Specifically, we will focus on research questions including: How are machine learning algorithms currently learning from user interaction, and what other possibilities exist? What kinds of interactions can provide feedback to machine learning algorithms? What can machine learning algorithms learn from interactions? Which machine learning algorithms are most applicable in this domain? How can machine learning algorithms be designed to enable user interaction and feedback? How can visualizations and interactions be designed to exploit machine learning algorithms? How can visualization system architectures be designed to support machine learning? How should we manage conflicts between the user’s intent and the data or machine learning algorithm capabilities? How can we evaluate systems that incorporate both machine learning algorithms and user interaction together? How can machine learning and user interaction together make both computation and user cognition more efficient? How can we support the sensemaking process by learning from user interaction? SUBMISSIONS We have two submission tracks: for papers and for posters. Please note that the submission processes are still being finalized Papers We invite research and position papers between 5 and 10 pages in length. All submissions must be formatted according to the IEEE VIS format <http://junctionpublishing.org/vgtc/Track/vis-tvcg.html>. Papers are to be submitted online through the Precision Conference System (additional details TBA). All papers accepted for presentation at the workshop will be published on IEEE Xplore and linked from the workshop website. All papers should contain full author names and affiliations. If applicable, a link to a short video (up to 5 min. in length) may also be submitted. The papers will be juried by the organizers and selected external reviewers and will be chosen according to relevance, quality, and likelihood that they will stimulate and contribute to the discussion. At least one author of each accepted paper needs to register for the conference (even if only for the workshop). Registration information will be available on the IEEE VIS website <http://ieeevis.org/year/2018/welcome>. Important Dates Submission deadline: June 30, 2018 Author notification: July 31, 2018 Camera-ready deadline: August 20, 2018 Speaker Schedule Available: September 15, 2018 Workshop: October 21 or 22, 2018 Posters We invite both late-breaking work and contributions in this area from other research domains to submit extended abstracts between 2 and 4 pages in length. All submissions must be formatted according to the IEEE VIS format <http://junctionpublishing.org/vgtc/Track/vis-tvcg.html>. Extended abstracts are to be submitted online through the Precision Conference System (additional details TBA). All abstracts accepted for presentation at the workshop will be published on IEEE Xplore and linked from the workshop website. All abstracts should contain full author names and affiliations. If applicable, a link to a short video (up to 5 min. in length) may also be submitted. The abstracts will be juried by the organizers and selected external reviewers and will be chosen according to relevance, quality, and likelihood that they will stimulate and contribute to the discussion. At least one author of each accepted poster needs to register for the conference (even if only for the workshop). Registration information will be available on the IEEE VIS website <http://ieeevis.org/year/2018/welcome>. Important Dates Submission deadline: August 15, 2018 Author notification: September 1, 2018 Camera-ready deadline: October 1, 2018 Workshop: October 21 or 22, 2018 ORGANIZERS John Wenskovitch, Virginia Tech (jw87(a)vt.edu <mailto:jw87@vt.edu>) Michelle Dowling, Virginia Tech (dowlingm(a)vt.edu <mailto:dowlingm@vt.edu>) Chris North, Virginia Tech Remco Chang, Tufts University Alex Endert, Georgia Tech David Rogers, Los Alamos National Lab

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Special Issue on Immersive Analytics ? Call for Papers
by benjamin bach 11 Apr '18

11 Apr '18

Special Issue on Immersive Analytics — Call for Papers Final submissions due: 1 October 2018 Publication date: May/June 2019 In systems that allow people to explore, understand, and present data, the affordances of the display and input devices used have a strong effect on the user experience as well as the degree of engagement and productivity. Rapid advancement in immersive technologies including VR/AR, large displays, and tangible surfaces offers new opportunities for data visualization and analytics. We can leverage these technologies not only to explore data more effectively but also to present insights in more engaging ways. However, visual analytics systems that go beyond the desktop environment have yet to be systematically investigated. Immersive Analytics is a multidisciplinary initiative to explore the development and application of emerging interaction technologies for creating more engaging experiences and realizing seamless workflows from data exploration to presentation. Recently, a series of successful workshops on immersive analytics have occurred in several venues, including the Shonan Seminar, Dagstuhl Seminar, ACM ISS, IEEE VR, and IEEE VIS. For this special issue, we are soliciting papers that describe innovative research, design, and viewpoints regarding Immersive Analytics. More specifically, we are looking for contributions on the following topics: Real-world Applications Data-Driven Storytelling Collaboration Hybrid 2D/3D Affordances for Immersion Natural and Multi-modal Interaction Multi-sensory, Physical, and Tangible Data Representation Evaluation Methods Platforms, Libraries, and Toolkits Guest editors Bongshin Lee (bongshin(a)microsoft.com <mailto:bongshin@microsoft.com>), Microsoft Research Benjamin Bach (bbach(a)inf.ed.ac.uk <mailto:bbach@inf.ed.ac.uk>), University of Edinburgh Tim Dwyer (tim.dwyer(a)monash.edu <mailto:tim.dwyer@monash.edu>), Monash University Kim Marriott (kim.marriott(a)monash.edu <mailto:kim.marriott@monash.edu>), Monash University Submission guidelines Nondepartment articles submitted to IEEE CG&A should not exceed 8,000 words, including the main text, abstract, keywords, bibliography, biographies, and table text, where a page is approximately 800 words. Articles should include no more than 10 figures or images. Each 1/4 page figure, image, and table counts for approx. 200 words. Note that all tables, images, and illustrations must be appropriately scaled and legible; larger elements should be accounted for accordingly with respect to word count. Please limit the number of references to the most relevant and ensure to delineate your work from relevant past articles in CG&A. Furthermore, avoid an excessive number of references to published work that might only be marginally relevant. Visit the CG&A style, length and supplemental guidelines at www.computer.org/web/peer-review/magazines <http://www.computer.org/web/peer-review/magazines>. Submission Please submit your paper using the manuscript submission service at https://mc.manuscriptcentral.com/cs-ieee <https://mc.manuscriptcentral.com/cs-ieee>. When uploading your paper, select the appropriate special issue title under the category “Manuscript Type.” Also, include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at cga-ma(a)computer.org <mailto:cga-ma@computer.org>. best regards, Bongshin, Benjamin, Tim, Kim benjamin

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Data Science @ Uni Vienna: Open positions for 5 PhD candidates
by Anne Marie Faisst 11 Apr '18

11 Apr '18

Dear Sirs and Madams We have openings for five enthusiastic PhD students to establish an interdisciplinary research environment. The PhD students will be hosted in one of the faculties of Computer Science, Mathematics, or Business, Economics and Statistics. Each of the PhD students will be co-supervised by members of at least two different faculties and work on research problems in one of five domains, Astronomy, Digital Humanities, Finance, Industry 4.0, Medical Sciences. Applications including: ● Letter of motivation that clarifies the candidate’s particular domain(s) of interest and the target phd programme ● Curriculum vitae ● List of publications ● Evidence of teaching experience (if available) ● Degree certificates should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than Apr 30th, 2018, mentioning reference number 8347. Starting Date: May 1st, 2018 Application deadline: April 30th, 2018 Duration: 3 years Job ad: https://tinyurl.com/ds-UniVie Best regards, -- Anne Marie Faisst, BA Organisationsassistentin Universität Wien Fakultät für Informatik Forschungsgruppe Visualization and Data Analysis Währinger Straße 29/S6/1.04, A-1090 Wien T +43-1-4277-790 03

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Information Visualization Videos from National Academy of Sciences
by Ben Shneiderman 09 Apr '18

09 Apr '18

Dear InfoVis Colleagues, Last month's National Academy of Sciences Sackler Colloquium on Creativity & Collaboration<http://www.nasonline.org/programs/sackler-colloquia/completed_colloquia/Cyb…> included a strong session on information visualization. We were eager to promote use of information visualization in scientific research, data journalism, and other contexts. Five of these terrific talks from prominent researchers, may be of interest to you, your colleagues, and students: Deconstructing Charts and Graphs - Maneesh Agrawala https://www.youtube.com/watch?v=qAh_dcq_S_M Constructing Charts and Graphs - Jeff Heer https://www.youtube.com/watch?v=ouIFSDQwkQM The Road from Explanation to Exploration, and Back - Alyssa Goodman https://www.youtube.com/watch?v=OfA7XkivjAA Data Visualization Literacy - Katy Borner https://www.youtube.com/watch?v=N5wYoIR1K_4 Visualization as Lingua Franca in Machine Learning - Fernanda Viegas https://www.youtube.com/watch?v=xH19VRSOG7g We were pleased that NAS President Marcia McNutt sent this supportive message on information visualization to NAS members: I have been impressed recently by the growing renaissance movement to better integrate the arts and humanities with science and technology for practical benefits. Let me give just two examples. The recent NAS Arthur M. Sackler Colloquium on Creativity and Collaboration: Revisiting Cybernetic Serendipity<https://nasonline.us8.list-manage.com/track/click?u=e8ed2d21703b877983dcb81…>, organized by Ben Shneiderman (NAE), had as its stated ambition: "...to redirect the history of ideas, restoring the Leonardo-like close linkage between art/design and science/engineering/medicine." Speakers demonstrated how interactive exploration methods embedded in modern information visualization tools lead to new insights and more effectively communicate complex concepts. Examples included ice flow patterns across Antarctica, dynamics of galaxy formation, and machine learning with deep neural nets. Visualization methods are equally important for data exploration, such as more effective detection of faulty data, missing data, unusual distributions, and anomalies; deeper and more thorough data analyses that produce profounder insights; and richer understandings that enable researchers to ask bolder questions. Stay tuned as well for the imminent release of a new report from the National Academies: The Integration of the Humanities and Arts with Sciences, Engineering, and Medicine in Higher Education: Branches from the Same Tree. Chaired by Secretary of the Smithsonian David Skorton and funded by the Andrew W. Mellon Foundation, the National Endowment for the Arts, and the National Endowment for the Humanities, this report examines the evidence behind the assertion that educational programs that mutually integrate learning experiences in the arts, humanities and STEM lead to improved educational and career outcomes for undergraduate and graduate students. Ben Shneiderman ben(a)cs.umd.edu<mailto:ben@cs.umd.edu> Dept of Computer Science www.cs.umd.edu/~ben<http://www.cs.umd.edu/~ben> AV Williams Building @benbendc University of Maryland College Park, MD 20742 Distinguished University Professor UM Institute for Advanced Computer Studies Member, National Academy of Engineering Fellow AAAS, ACM, IEEE, NAI, SIGCHI Academy

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Vienna Research Groups for Young Investigators
by Anne Marie Faisst 05 Apr '18

05 Apr '18

Dear Sirs and Madams, The Vienna Science Fund provides a great opportunity for tenure track positions in Vienna. The position will provide up to 1.6 million Euros for up to 8 years. It will require a university host. The newly established interdisciplinary research group Data Science @ University of Vienna would be happy to support applicants in the area of Data Science. For details about us and the procedure, please consult: http://datascience.univie.ac.at/job-opportunities/ Please send us your information by Apr 30th 2018. Best Regards, -- Anne Marie Faisst, BA Organisationsassistentin Universität Wien Fakultät für Informatik Forschungsgruppe Visualization and Data Analysis Währinger Straße 29/S6/1.04, A-1090 Wien T +43-1-4277-790 03

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CFP: Special issue on human centric visual analytics at Journal of Behaviour & Information Technology
by BIT Journal 04 Apr '18

04 Apr '18

[Apologies for multiple copies] Special issue on human centric visual analytics: Journal of Behaviour & Information Technology (2016 Impact Factor: 1.388) Currently, many visual analytics products and tools have been developed. However, in developing those tools and products, much attention has been paid on mining data patterns and making the hidden information visible to users. Relatively less attention has been paid on how this information should be presented for sense making decision making. This imbalance between human and computer has resulted in the lack of theories and guidelines for system design and evaluation and prevented systems and tools from being more useful in practice. To foster an incentive to address the issue and improve the situation, this specie issue targets on new visualization theories, novel design principles, analytics techniques and evaluation methodologies that are to address issues surrounding human-centric visual analytics. The primary objective is to foster focused attention in this emerging area and to serve as forum for researchers and professionals all over the world to exchange and discuss the latest advances. To be precise, the aim of this special issue is to present a collection of high-quality research papers on the state-of-the-art in the emerging area of human-centric visual analytics. We are soliciting original contributions that have not been published and are not currently under review by any other journals or conferences. Papers to be submitted to this special issue must focus on the human side of visual analytics. All submitted papers will be peer-reviewed and papers will be selected based on their quality and relevance to the theme of this special issue. Topics considered for this special issue include, but are not limited to, the following: • Visual perception and cognition • Design principle and guidelines for human-centric visual analytics • New evaluation methodologies and metrics • New visualization and visual analytics theories. • Adaption and refinement of existing theories and principles from HCI and Psychology in human–centric visual analytics • Novel human-data interfaces, frameworks, reference models, architectures, tools and systems • New human-data, human-computer and human-human interaction methods in the context of visual analytics • Human, social and cultural factors in collaborative visual analytics Schedule: Paper submission deadline: April 30, 2018 Review notification: June 30, 2018 Revised paper submission: August 30, 2018 Final notification: October 30, 2018 Publication: Late 2018 For more details, please see: http://explore.tandfonline.com/cfp/est/jmj02888-tbit-si-human-centric-visua… Guest editors: Dr. Weidong Huang, Swinburne University of Technology, Australia. Professor Yuhua Luo, University of the Balearic Islands, Spain. Professor Brian Fisher, Simon Fraser University, Canada Professor Remco Chang, Tufts University, USA

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