February 2019 - Infovis

ACM IUI 2019: Conference program online, early registration deadline on Feb 8th
by Axel Soto 07 Feb '19

07 Feb '19

ACM Conference on Intelligent User Interfaces (IUI 2019) March 16-20 Los Angeles, USA ACM IUI 2019 (https://iui.acm.org/2019/index.html) is the 24th annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community. The program for this year's conference can be found online: https://iui.acm.org/2019/program.html . You can also found information about the two panels to be held: https://iui.acm.org/2019/panel.html Registration is open, please register and book your hotel room as soon as possible (last year, registration was sold out one month in advance!). Early registration deadline is tomorrow. This year we have two registration options. Main conference+workshop: Main conference+workshop registration includes the main conference from March 16 to March 20, 2019, with keynotes, paper presentations, posters, demos, workshops, a reception, and a banquet. Workshop only: Workshops will be on March 20, 2019. Registration dates: - Early registration (until Feb 8th) - Late registration (until March 15) - Onsite (after March 15) Please visit https://iui.acm.org/2019/registration.html for more details. Also information on accommodation can be found at: https://iui.acm.org/2019/accomodation.html

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InfoVis tools survey: what factors affect you when selecting a software
by Ahmed Omran 05 Feb '19

05 Feb '19

Number of Software tools in Information Visualization is sky rocketing. End-users have different factors that affect their decision to select a software tool and how it will meet their requirements. This questionnaire and Responses will help to thorough understand factors that affect non-technical people and end users when selecting Information Visualization software tool. These will be the main input to a new model that can categorize Information Visualization tools. Consequently, end users will get list of candidate tools that meet their visualization requirement. https://goo.gl/forms/nr9EatyDRNh4Hon43 All questions are direct and clear, though we ask you to try to answer each of them as best as you can. This work is under supervision of researchers at the University of Kadir Has/ Turkey. If you have questions or comments, please contact Mr. Omran (20151708049@stu. khas.edu.tr), Dr. Yetkin (fatih.yetkin(a)khas.edu.tr) Thanks! On Tue, Feb 5, 2019, 1:00 PM <infovis-request(a)infovis.org wrote: > Send Infovis mailing list submissions to > infovis(a)infovis.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://www.infovis.org/mailman/listinfo/infovis > or, via email, send a message with subject or body 'help' to > infovis-request(a)infovis.org > > You can reach the person managing the list at > infovis-owner(a)infovis.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Infovis digest..." > > > Today's Topics: > > 1. Deadline extended to 1 Apr 2019 - CFP: IEEE CG&A Special > Issue on "Provenance and Logging for Sense Making" (Kai Xu) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Mon, 4 Feb 2019 17:22:54 +0000 > From: Kai Xu <K.Xu(a)mdx.ac.uk> > To: "chi-Announcements(a)acm.org" <chi-Announcements(a)acm.org>, > "ieee_vis(a)listserv.uni-tuebingen.de" > <ieee_vis(a)listserv.uni-tuebingen.de>, "infovis(a)infovis.org" > <infovis(a)infovis.org> > Cc: Melanie Tory <mtory(a)tableau.com>, Jean-Daniel Fekete > <Jean-Daniel.Fekete(a)inria.fr>, "T.J. Jankun-Kelly" <tjk(a)acm.org> > Subject: [Infovis] Deadline extended to 1 Apr 2019 - CFP: IEEE CG&A > Special Issue on "Provenance and Logging for Sense Making" > Message-ID: <62DE8865-BCEA-498A-963B-9621592DF144(a)mdx.ac.uk> > Content-Type: text/plain; charset="utf-8" > > Hi All, > > Just a quick note that the special issue deadline is now extended to 1 > April 2019 (it was 1 Mach 2019). > > Regards, > > Guest Editors > Kai Xu (k.xu(a)mdx.ac.uk) Middlesex University > Melanie Tory (mtory(a)tableau.com) Tableau Research > T.J. Jankun-Kelly (tjk(a)acm.org) Mississippi State University > Jean-Daniel Fekete (Jean-Daniel.Fekete(a)inria.fr) INRIA Unit? de > Recherche Saclay > > > On 18 Jan 2019, at 23:25, Kai Xu <K.Xu(a)mdx.ac.uk> wrote: > > CFP: IEEE CG&A Special Issue on "Provenance and Logging for Sense Making" > > Submission: 1 April 2019 > Publication: November/December 2019 > > > https://publications.computer.org/cga/2018/10/02/special-issue-provenance-l… > > Sense making is one of the biggest challenges in data analysis faced by > both the industry and the research community. It involves understanding the > data and uncovering its model, generating a hypothesis, selecting analysis > methods, creating novel solutions, designing evaluation, and also critical > thinking and learning wherever needed. The research and development for > such sense making tasks lags far behind the fast-changing user needs. As a > result, sense making is often performed manually and the limited human > cognition capability becomes the bottleneck of sense making in data > analysis and decision making. > > A recent advance in sense making research is the capture, visualization, > and analysis of provenance information. Provenance is the history and > context of sense making, including the data/analysis used and the users? > critical thinking process. It has been shown that provenance can > effectively support many sense making tasks. For instance, provenance can > provide an overview of what has been examined and reveal gaps such as > unexplored information or solution possibilities. Besides, provenance can > support collaborative sense making and communication by sharing the rich > context of the sense making process. > > Besides data analysis and decision making, provenance has been studied in > many other fields, sometimes under different names, for different types of > sense making. For example, the Human-Computer Interaction community relies > on the analysis of logging to understand user behaviors and intentions; the > WWW and database community has been working on data lineage to understand > uncertainty and trustworthiness; and finally, reproducible science heavily > relies on provenance to improve the reliability and efficiency of > scientific research. > > For this special issue, we are soliciting papers that describe innovative > research, design, system/tools, and viewpoints regarding the collection, > analysis, and summarization of provenance information to support the design > and evaluation of novel techniques for sense making across different > application domains: > > ? Use cases of provenance and logging information, such as: > ? Supporting sense making; > ? Understanding user sense making activities and/or evaluation of > sense making tools; > ? Supporting collaborative sense making; > ? Providing sense making transparency and reproducibility > ? Research related to the challenges in capturing the required provenance > information, such as: > ? The complex provenance information required for different use > cases; > ? Automatic capture of high-level provenance such as human > thinking and reasoning; > ? Software architecture for provenance capture for both new and > existing systems. > ? Research related to the analysis and visualization of provenance data, > such as: > ? Visualization and summarization of provenance information; > ? Machine learning and Nature Language Processing techniques that > can help analysis of provenance data. > ? The ethical and privacy implications of the collection, storage, and > analysis of provenance data and their impact on the design of the > techniques and software. > > We are aware that the deadline is close. Please contact Kai ( > k.xu(a)mdx.ac.uk) if you would like to make a submission but may not meet > the deadline. > > Guest Editors > Kai Xu (k.xu(a)mdx.ac.uk) Middlesex University > Melanie Tory (mtory(a)tableau.com) Tableau Research > T.J. Jankun-Kelly (tjk(a)acm.org) Mississippi State University > Jean-Daniel Fekete (Jean-Daniel.Fekete(a)inria.fr) INRIA Unit? de > Recherche Saclay > > > > > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > Infovis mailing list > Infovis(a)infovis.org > https://www.infovis.org/mailman/listinfo/infovis > > *** > InfoVis Email Digest > > > Moderator: Stefano Foresti - stefano.foresti(a)utah.edu > > Supporting web site: http://www.infovis.org > > Posting address: infovis-digest(a)infovis.org > > List archives are available at http://www.infovis.org/pipermail/infovis/ > > > To SUBSCRIBE: > Visit http://www.infovis.org/mailman/listinfo/infovis > > -- or -- > Send mail to infovis-join(a)test.infovis.org with the subject (NOT BODY) > "subscribe infovis" and follow the instructions. > > To UNSUBSCRIBE: > Visit http://www.infovis.org/mailman/listinfo/infovis > > -- or -- > Send mail to infovis-leave(a)test.infovis.org with the subject (NOT BODY) > "unsubscribe infovis" and follow the instructions. > > Information accepted for inclusion in the digest will include: > research and development projects across academia and industry > > conference notices, book announcements & reviews, lectures > > interesting papers, web sites, videos > > requests for help on specific research problems > > employment and student opportunities > > commercial product announcements and descriptions > > ------------------------------ > > End of Infovis Digest, Vol 153, Issue 4 > *************************************** >

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Postdoctoral Position in the Visual Data Analysis Group at Washington University
by Alvitta Ottley 05 Feb '19

05 Feb '19

The Visual Data Analysis Group at Washington University <http://visualdata.wustl.edu/> is seeking a highly motivated postdoctoral fellow. Please forward to colleagues and student who might be interested. *Washington University in St. Louis **Computer Science & Engineering* Join the Visual Data Analysis Group Postdoctoral Fellows The Visual Data Analysis Group <http://visualdata.wustl.edu/> at Washington University is seeking a post-doctoral fellow to pursue research in the areas of Visualization, Human-Computer Interaction, and Machine Learning. The candidate will directly work with Dr. Alvitta Ottley and graduate students. The successful candidate will also work closely with collaborators at Boeing and the DOD on innovative research projects aimed at developing intelligent visualization systems to support the decision-making process better. *Current topics of interest include:* - Intelligent visualization tools - Modeling and prediction of user behavior (Applied Machine Learning) - Visualization for clinical decision support and risk communication - User-Adaptive visualization and personalization - Perception and cognition for visualization - Design Studies *Required Qualifications:* - Ph.D. in Computer Science or related field - Excellent written and oral communication skills - Proven ability to work independently and as part of a team - Experience with data visualization and/or machine learning - Strong Programming Skills *How to apply:* The position is available immediately, but start dates are flexible. Submit your CV and a one-page cover letter to *alvitta(a)wustl.edu <alvitta(a)wustl.edu>*. Best Regards, *Alvitta Ottley, Ph.D.* Assistant Professor of Computer Science and Engineering Assistant Professor of Psychological and Brain Sciences (Courtesy) Washington University in St. Louis alvitta(a)wustl.edu

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CFP: IEEE CG&A Special Issue on "Provenance and Logging for Sense Making"
by Kai Xu 04 Feb '19

04 Feb '19

CFP: IEEE CG&A Special Issue on "Provenance and Logging for Sense Making" Submission: 1 March 2019 Publication: November/December 2019 https://publications.computer.org/cga/2018/10/02/special-issue-provenance-l… Sense making is one of the biggest challenges in data analysis faced by both the industry and the research community. It involves understanding the data and uncovering its model, generating a hypothesis, selecting analysis methods, creating novel solutions, designing evaluation, and also critical thinking and learning wherever needed. The research and development for such sense making tasks lags far behind the fast-changing user needs. As a result, sense making is often performed manually and the limited human cognition capability becomes the bottleneck of sense making in data analysis and decision making. A recent advance in sense making research is the capture, visualization, and analysis of provenance information. Provenance is the history and context of sense making, including the data/analysis used and the users’ critical thinking process. It has been shown that provenance can effectively support many sense making tasks. For instance, provenance can provide an overview of what has been examined and reveal gaps such as unexplored information or solution possibilities. Besides, provenance can support collaborative sense making and communication by sharing the rich context of the sense making process. Besides data analysis and decision making, provenance has been studied in many other fields, sometimes under different names, for different types of sense making. For example, the Human-Computer Interaction community relies on the analysis of logging to understand user behaviors and intentions; the WWW and database community has been working on data lineage to understand uncertainty and trustworthiness; and finally, reproducible science heavily relies on provenance to improve the reliability and efficiency of scientific research. For this special issue, we are soliciting papers that describe innovative research, design, system/tools, and viewpoints regarding the collection, analysis, and summarization of provenance information to support the design and evaluation of novel techniques for sense making across different application domains: • Use cases of provenance and logging information, such as: • Supporting sense making; • Understanding user sense making activities and/or evaluation of sense making tools; • Supporting collaborative sense making; • Providing sense making transparency and reproducibility • Research related to the challenges in capturing the required provenance information, such as: • The complex provenance information required for different use cases; • Automatic capture of high-level provenance such as human thinking and reasoning; • Software architecture for provenance capture for both new and existing systems. • Research related to the analysis and visualization of provenance data, such as: • Visualization and summarization of provenance information; • Machine learning and Nature Language Processing techniques that can help analysis of provenance data. • The ethical and privacy implications of the collection, storage, and analysis of provenance data and their impact on the design of the techniques and software. We are aware that the deadline is close. Please contact Kai (k.xu(a)mdx.ac.uk) if you would like to make a submission but may not meet the deadline. Guest Editors Kai Xu (k.xu(a)mdx.ac.uk) Middlesex University Melanie Tory (mtory(a)tableau.com) Tableau Research T.J. Jankun-Kelly (tjk(a)acm.org) Mississippi State University Jean-Daniel Fekete (Jean-Daniel.Fekete(a)inria.fr) INRIA Unité de Recherche Saclay

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EuroVis'19 Short Papers CFP
by G.Elisabeta Marai 03 Feb '19

03 Feb '19

*** Apologies for cross-posting *** EG/VGTC EuroVis 2019 (June 3-7 2019, Porto, Portugal) CALL FOR SHORT PAPERS http://www.eurovis.org/short-papers/ Due: February 28, 2019 Notification: March 31, 2019 EuroVis 2019 features a short paper track to present late-breaking visualization research results, work in progress, and follow-up extensions or evaluations of existing methods. All accepted short papers (4 pages) 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. For detailed submission instructions, please see: http://www.eurovis.org/short-papers/ The Short Papers Chairs, Jimmy Johannsen, Filip Sadlo, 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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From Skala - REMINDER-EXTENSION - Call for Papers - 27. WSCG 2019 Conf. on Graphics, Visualization & Vision
by Prof. Ing. Vaclav Skala, CSc. 02 Feb '19

02 Feb '19

From Skala - REMINDER - EXTENSION - Call for Papers - 27. WSCG 2019 Conf. on Computer Graphics, Visualization & Computer Vision >> SUBMISSION EXTENDED DATE March 10, 2019 (EXTENDED) see details at WSCG 2019 WEB pages - http://www.wscg.cz WSCG 2019 (held annually at Pilsen [Plzen] - the CITY of BEER - since 1992) --------------- 27. Int. Conf. on Computer Graphics, Visualization and Computer Vision 2019 http://www.wscg.eu – main page of WSCG- access to WSCG digital repository http://www.wscg.cz – WSCG 2019 page When: May 27 – 31, 2019 Where: Primavera Congress Center, Pilsen [Plzen] (the City of Beer), close to Prague, Czech Republic approx. 70 mins. from the Prague Airport by public transport Proceedings will be published in Computer Science Research Notes (ISSN 2464-4617). The best selected papers will be published in the Journal of WSCG (ISSN 1213-6972). Papers will be published with DOI >> "Pay to publish" strategy submission is NOT acceptable. << >> At least one author has to present the paper at the conference. << >> Proceedings will be made after the conference << Recent publications available via http://wscg.zcu.cz/DL/wscg_DL.htm - repository since 1992. Conference organizer & Chair --------------------- Prof. Vaclav Skala Contact: http://www.VaclavSkala.eu, skala(a)kiv.zcu.cz subject: WSCG 2019 c/o University of West Bohemia, Faculty of Applied Sciences Dept. of Computer Science and Engineering, Univerzitni 8, CZ 30614, Plzen, Czech Republic ---------------- sent via: infovis(a)infovis.org

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