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IEEE VIS 2014: Student Volunteers Wanted (by Aug 1st)
by G.Elisabeta Marai 09 Jul '14

09 Jul '14

IEEE VIS 2014 htttp://ieeevis.org CFP: Student Volunteers Wanted http://ieeevis.org/year/2014/info/volunteer/student-volunteers As every year, IEEE VIS offers full and part-time undergraduate and graduate students an opportunity to attend the conference. Student Volunteers benefit by observing first-hand the latest advances in visualization, hearing and meeting world-class as well as next-generation visualization professionals from around the world, and building a network of research colleagues. The Student Volunteer Program is looking for reliable, hard working and enthusiastic student volunteers to help us create a great experience and a premier conference. The conference depends on student volunteers to staff the various conference events and special purpose conference rooms. Their enthusiastic participation enhances the conference experience for all the attendees. Applications are open from July 1st through August 1st. For details and to apply: http://ieeevis.org/year/2014/info/volunteer/student-volunteers Contact: visweeksvchairs(a)gmail.com The Student Volunteer Chairs Krishna Chaitanya Gurijala, Stony Brook University Andrew Stamps, Mississippi State University Sung-Hee Kim, Purdue University Charles Perin, INRIA -- Liz -- G. Elisabeta Marai Robotics Institute School of Computer Science Carnegie Mellon University http://visualizlab.org/people/marai

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CFP: AWC 2015 - The Third Australasian Web Conference, Sidney, Australia
by Alessandro Bozzon 09 Jul '14

09 Jul '14

[Apologies if you receive multiple copies of this call, it has been posted to several relevant mailing lists. Please redistribute within your own group or among colleagues, thank you!] *************************************************************************** 1st C A L L F O R P A P E R S AWC 2015 The Third Australasian Web Conference 27-30 January 2015, Parramata, Sydney, Australia Conference Website: http://www.uws.edu.au/acsw2015/australasian_computer_science_week_2015/aust… *SUBMISSION DEADLINE*: August 26th, 2014 *NOTIFICATION OF ACCEPTANCE*: October 8th, 2014 **************************************************************************** Aims and Scope -------------- As we celebrate its 25th anniversary, the World Wide Web continues to play a transformative role in all walks of life. It also provides a platform for exciting and innovative research on a wide range of themes. AWC 2015 aims to bring together researchers and PhD students who work on topics related to the Web in an effort to highlight the state-of-the-art, to discuss critical issues and opportunities, and to explore new research directions. Topics of Interest ------------------ AWC 2015 invites submissions dealing with all areas of Web research, including but not limited to the following topics: * Semantic web * Linked Open Data * Crowdsourcing and Human Computation * Web mining * Deep Web * Emerging Web techniques * Information retrieval * Interfaces and Accessibility * Interoperability and heterogeneous systems * Mobile Web * Performance, scalability and availability * Personalisation and recommender systems * Security and Privacy * Social networks and communities * Social Web and analytics * Mashups * Web of Things * Web search * Service Web, Web services, and service-oriented computing * XML and semi-structured data management All submissions will be reviewed by the programme committee for inclusion in the AWC 2015 proceedings. Each paper will be judged on its originality, significance, technical quality, relevance to AWC 2015, and presentation. AWC is part of the Australasian Computer Science Week. Registration to the Australasian Computer Science Conference enables delegates to attend sessions in any conference participating in the Australasian Computer Science Week (ACSW). The proceedings will be included in the ACM digital library and indexed on Scopus and DBLP. General Chair ------------- * Joseph G. Davis (University of Sydney) Program Chair ------------- * Alessandro Bozzon (Delft University of Technology) Submission Procedure -------------------- We welcome papers describing original contributions in all fields of Web-related research. Its contribution should be clearly explained in both general and technical terms, and authors should make every effort to ensure that its technical content is understandable by a broad audience without taking away from its impact and significance. All submissions will be reviewed by the programme committee for inclusion in the AWC 2015 proceedings. Each paper will be judged on its originality, significance, technical quality, relevance to AWC 2015, and presentation. Papers should be *no more than 10 pages* in length conforming to the formatting instructions for the Australian Computer Society (ACS) (http://www.acs.org.au/) - Conferences in Research and Practice in Information Technology (CRPIT) (http://crpit.com/) Australian Computer Science Communications series. Submission to AWC 2015 will only be accepted electronically using EasyChair (https://www.easychair.org/conferences/?conf=awc2015) Authors are requested to submit an abstract first, then to upload the full paper using the paper-id assigned by the system. By submitting to the conference authors accept that they are aware of the Guidelines on Research Practice in Computer Science by the Computer Research and Education Association (CORE) (http://www.core.edu.au/) and the policy listed at CRPIT (http://crpit.com/) In particular, authors are encouraged to review the points on authorship. Best Student Paper -------------------- A prize will be awarded to the best student paper as chosen by the programme committee. The student paper award is given on the conditions that: (1) all other non-student co-authors confirm to the program chair(s) that the nominated author has had a substantial participation into the paper; and (2) the student academic supervisor confirms to the program chair that the contribution reflected in the paper is the result of a major component from progress for a research higher degree Publication -------------------- The proceedings will be included in the ACM digital library and indexed on Scopus and DBLP. Please note that it is ACSW conference policy that at least one author of all accepted papers to the conferences and workshops in the series would both register and present at the event concerned. Failure to do so without a reason acceptable to the organisers of the event will result in the paper being retrospectively withdrawn from both the proceedings and all citation sources.

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PhD position in visualization at Inria Saclay, France: Visualization of structural and functional connectivity in the brain
by Petra Isenberg 08 Jul '14

08 Jul '14

*PhD position in visualization at Inria Saclay, France (20km from Paris): Visualization of structural and functional connectivity in the brain* PDF version: http://www.aviz.fr/wiki/uploads/Research/2014_AVIZ_PhD_Project_-_BrainVis.p… application deadline: September 15, 2014 starting date: end of 2014 at the latest Description: The study of brain connectivity is one of the fundamental ways to investigate the complex functions of the (human) brain. For this purpose, neuroanatomists capture and investigate two different types of connectivity: anatomical connectivity arising from diffusion-weighted MRI measurements and functional connectivity based on fMRI scans. Both types of data have advantages and disadvantages, but ultimately it is essential to study them in concert. The research project: The research in this PhD project will employ and combine approaches from two sub-fields of visualization: the visualization of spatial relationships (SciVis, for anatomical connectivity) and the visualization of abstract data (InfoVis, for functional connectivity data). The goal is to be able to start the interactive investigation with either type of data, being able to interactively and freely switch between the different representations as it is needed for the data exploration. The ultimate vision is two-fold: The first and foremost aspect is to get to a more in-depth understanding on how to support interactive data exploration using various new and state-of-the-art visualization techniques in the neurosciences. The second aspect is that to more generally push the boundaries of multimodal visualization to be able to generalize the findings of this research to other fields that work on a daily basis with data that has both spatial and abstract characteristics. For this purpose the project extends past results in the visualization of dense line data as well as the visualization of weighted graphs. For the first aspect of anatomical connectivity, the project will use methods from illustrative visualization to deal with the dense fibertract datasets that are generated from diffusion-weighted MRI. This aspect of the visualization will provide an important visual reference and landmark for the exploration of functional connectivity, for which the project will rely on the visualization of weighted graphs. A general challenge in this context is the question on how to create a visualization that combines both data types, either in separate views or in a combined view. Separate linked views are common in abstract data visualization and we will thus explore their application for our application. A view that integrates both could combine fibertracts inside the brain for anatomical connectivity with a bundled view of functional links on its outside. This approach has the potential benefit of not requiring a mental integration of separate points of reference. On the other hand, this approach may lead to a cluttered and overloaded depiction. The project will therefore explore new ways of controlling the abstraction in the data depiction to deal with this issue to be able to show the realistic large and complex datasets. This work will thus also require research to understand how to apply illustrative visualization to abstract data. Such visualizations of the fibertracts in a more or less realistic way is convenient for the neuroscientist, but we have to consider other complementary linked views. These views often do not match the realistic physical appearance of fibertracts but instead focus on the task at hand the neuroscientist wants to perform with the data. So other representations than graphs will be explored as part of this project such as scatter plots or space-filling or pixel-based designs enabling to provide a mapping of the information space more efficient to solve a specific visual analytic task. Machine learrning techniques such as generative graphs will be used to automatically extract summaries of the anatomical and functional connectivity data. These geometrical and topological summaries will be used as a backbone structure for the visualization of the information space to be used for visual analysis tasks. Moreover, an integral aspect of our approach is to combine the visualization techniques in an interactive exploration tool that supports analists in adjusting their exploration strategy as needed. An integral part of the neuroanatomists' data exploration is the comparison of different datasets, either derived from different people or captured at different points in time. Therefore, the comparison of different datasets and the temporal exploration will be an essential aspect of the project. To be successful in this project, the PhD student will work closely with domain experts in the neurosciences from the Université Pierre et Marie Curie, both to develop the integrated interactive visualization techniques using a participatory design approach as well as to evaluate the new techniques in controlled experiements. By closely working with the domain experts, the PhD student will work toward an interactive tool for neuroanatomical data exploration that integrates the new visualization techniques. The goal for this tool is that it can be used in a realistic context for the everyday analysis tasks of the neuroanatomists and that it will be provided to the public as open-source software. Beyond this implementation, the project will result in a deeper understanding of how to combine spatially explicit data with connected abstract data aspects to benefit visualization in the sciences in general. The PhD research will be conducted under the supervision of Tobias Isenberg and within the AVIZ research team at INRIA Saclay—Île-de-France which concentrates on the visualization of complex data. AVIZ is one of the most respected research labs in information visualization and visual analytics worldwide. The PhD student will closely collaborate, in particular, with Cédric Gouy-Pailler from the Laboratoire Analyse de Données et Intelligence des Systèmes at CEA whose expertise in machine learning will be essential for the work. In addition, we will work with domain experts in the neurosciences from the Université Pierre et Marie Curie. Required applicants skills: * highly motivated student * degree (M.Sc., M. Eng, or equivalent) in computer science or closely related fields * education background in one or more of the following fields: visualization, human-computer interaction, computer graphics, and machine learning * interest in applications in neuroimaging or in knowledge discovery * previous experience in these fields (in particular, neuroimaging) would be highly beneficial * experience in modern computer graphics (GPU) programming * fluent in written and spoken English (French language skills are not required but would be beneficial for living in France and interacting with people outside of the lab) * previous experience in research and publication of research results beneficial Application package: * detailed CV * motivation letter * summary of the master thesis * transcript of the grades * contact details for two academic references * prepare all application documents electronically and in English * application deadline: applications are reviewed as they are received; however, for full consideration please submit your application by September 15 Contact: Dr. Tobias Isenberg <tobias.isenberg(a)inria.fr> (http://tobias.isenberg.cc/) Group: AVIZ team, INRIA Saclay (http://www.aviz.fr/)

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IEEE VIS 2014 CFP: Workshop on Visualization for Predictive Analytics
by G.Elisabeta Marai 07 Jul '14

07 Jul '14

IEEE VIS 2014 http://ieeevis.org ************************************************************************** VIS'14 Capstone Speaker: Barbara Tversky (Stanford/Columbia) ************************************************************************** Workshop on Visualization for Predictive Analytics: Call For Participation Co-Located with IEEE VIS'14 | Paris 9-14 Nov, 2014 http://predictive-workshop.github.io/ SUBMISSION: Sep. 15, 2014 PARTICIPATION: The workshop is open to all VIS 2014 attendees FOR INQUIRIES: predva.workshop(a)gmail.com What is the use of visualization in prediction? How do people use visualization in predictive modeling? How can we improve the state of the art in predictive visual analytics? We invite the submissions of *short technical or position papers* (between 1-4 pages) to explore the use of visualization in prediction and showcase existing research. TECHNICAL PAPERS - May include, but are not limited to the following: Novel Visual Analytics or Visualization Techniques * How to assist predictive development, evaluation and communication * Visual analytics techniques for predictive models such as regression and classification * Visual analytics techniques for clustering * Visual analytics techniques for high-dimensional data * Interactive visualization for refining predictive models Applications and Case Studies * Real-world problems and experiences from public sectors and industry * Predictive visual analytics in business, technology, healthcare, finance, telecommunications, etc. * Predictive visual analytics applications in public sectors such as government, development, security, etc. Theory/Methods/Modeling/Evaluation * Real and synthetic data sets and benchmarks * Taxonomies of predictive tasks in visualization * Evaluation and testing in predictive visual analytics POSITION PAPERS - May include, but are not limited to, visionary ideas addressing topics such as: * What's the use of visualization in prediction tasks? * How can visualization help data scientists make sense of predictive models? * How can end users be sure predictive models are made of domain-relevant features? * How can visual analytics help researchers include their domain knowledge into the modeling process? * How do we build benchmark datasets and ground truth to objectively compare different predictive model visualizations? * What are good and suitable processes to ensure usefulness of predictive models? * How can we use visual analytics to “explain” patterns derived from predictive models? * How can we use predictive models as discovery tools? * How can visualization help modelers gain trust into their results? * Is visualization needed at all? * Where is the boundary between predictive, explanatory and exploratory analysis? See http://predictive-workshop.github.io/ for more details. Organizers: Adam Perer, Enrico Bertini, Ross Maciejewski, Jimeng Sun -- Liz -- G. Elisabeta Marai Robotics Institute School of Computer Science Carnegie Mellon University http://visualizlab.org/people/marai

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ESANN 2015: call for special sessions
by Michel Verleysen 06 Jul '14

06 Jul '14

ESANN 2015: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 22-23-24 April 2015 http://www.esann.org (still with ESANN 2014 information, will be updated soon) Call for special sessions ------------------------------- ESANN 2015 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. Each year, 5-6 special sessions on selected hot topics in the field are organized at ESANN. We are currently looking for proposals to organize special sessions. Candidate organizers are invited to read the call for special sessions at https://www.elen.ucl.ac.be/esann/index.php?pg=cfss. The other pages of the ESANN website will be updated in the next few weeks; currently they still contain information about ESANN 2014. Candidates for the organization of special sessions should send an e-mail to esann(a)uclouvain.be<mailto:esann@uclouvain.be> at the latest on August 25, 2014 (however the soonest is the best). Details on the information to be sent is available from https://www.elen.ucl.ac.be/esann/index.php?pg=cfss. The conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. We remain of course at your disposal for any information about ESANN 2015 and the organization of special sessions. Sincerely yours, Michel Verleysen ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen Univ. Cath. de Louvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann@uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann@uclouvain.be ========================================================

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CFP: The IEEE International Data-Visualization Contest 2014
by Wong, Pak C 03 Jul '14

03 Jul '14

Call for Participation The IEEE VGTC International Data-Visualization Contest Contest Theme: Visualization-Now I See It! DEADLINE: Monday, Sept 1, 2014 The IEEE Visualization and Graphics Technical Committee (VGTC)<http://vgtc.org/> is sponsoring its first International Data-Visualization Contest to recognize outstanding design in visualization and visual analytics from around the world. The 2014 contest theme is "Visualization-Now I See It!" The contest will be administrated by the IEEE Visualization Pioneers Group (VPG)<http://vgtc.org/content/ieee-vgtc-visualization-pioneers-group> under the auspices of IEEE VGTC. The award will be announced at the IEEE VPG Reception to be held at the IEEE VIS 2014<http://ieeevis.org/> conference. You are not required to attend either the VIS 2014 conference or the VPG reception to participate in the contest. Eligibility All visualization and visual analytics designers, developers, researchers, and practitioners from business, academia, and government sectors around the world are eligible to participate. Submissions cannot promote a commercial product. Submission Limitation Contestants may be lead author on no more than 3 submissions to the 2014 contest. They may be a co-author of any number of submissions. Submission Deadline Nomination packets must be received by 5pm PDT on Monday, September 1, 2014 to qualify for the 2014 contest. Selection Procedure All active IEEE VPG members<http://vgtc.org/content/vis-pioneers-group-vpg-members> who do not make a submission to the contest will be invited to participate in the first-round review. The top contest submissions from this first-round review will undergo a second round of reviews conducted by five distinguished IEEE VPG members representing different backgrounds, who will be chosen jointly by the VGTC and VPG chairs. The 5-member selection committee will thoroughly review and assess the top contest submissions based on communication effectiveness and design originality. The selection committee will submit their recommendation for best visualization to the IEEE VGTC chair by Monday, Oct 27, 2014. Monetary Award Along with a certificate, the winner of the IEEE/VGTC VIS Pioneers Group Best Data-Visualization Award will receive a check for $500 USD. Only one monetary award will be given in 2014. Submission Details The 2014 contest accepts only static visualizations in the form of an image. The contest participant should email the submission package to ieeevpg(a)googlegroups.com<mailto:ieeevpg@googlegroups.com>. The package will include: 1. A pdf file that contains: a. Title of the data-visualization contest submission b. Name, affiliation, email address, and postal address of the participant c. An up to 200 words description of the visualization written in English 2. A static visualization figure in jpg or png format. The size of the total submission package must be less than 10MB. For questions, contact vpg_awards(a)vgtc.org<mailto:vpg_awards@vgtc.org>.

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UMAP 2014 - Final call for participation & updates
by Ben Steichen 30 Jun '14

30 Jun '14

===================================================================== UMAP 2014 - 22nd International Conference on User Modeling, Adaptation, and Personalization Aalborg, Denmark, 7-11 July, 2014 http://www.um.org/umap2014/ ===================================================================== ==================================== UMAP 2014 registration dates ==================================== Late registration: June 1st - July 6th On-site registration: after July 6th ==================================== UMAP 2014 supported by conference navigator ==================================== We are happy to announce that Conference Navigator has added the detailed program for UMAP 2014. Please check it at: http://halley.exp.sis.pitt.edu/cn3/legacy.php?conferenceID=129 ==================================== UMAP 2014 workshop news & schedules now online ==================================== - PIA 2014 - Joint Workshop on Personalized Information Access - joining Personalised Multilingual Information Access (PMIA 2014) & Personalizing Search: From Search Engines to Exploratory Search Systems (PESE 2014) ***Keynote by Pia Borlund - Evaluation of interactive information retrieval by use of simulated work task situations.*** http://www.cs.ubc.ca/~steichen/PMIA2014/program.html - ProS - UMAP Projects Synergy ***Keynote by Judy Kay - Pervasive and ubiquitous prospects for user modelling and personalisation: extrapolating from project experiences*** http://umappros.wordpress.com/program/ - NRA - News Recommendation and Analytics ***Keynote by Aleksander Øhrn - Miley Cyrus” vs "War-Torn Syria”: Content recommendations in the real world*** https://www.ntnu.no/wiki/display/nra2014/Program - PALE - Personalization Approaches in Learning Environments http://adenu.ia.uned.es/workshops/pale2014/schedule.htm - PEGOV - Personalization in e-Government Services, Data and Applications http://pegov.disco.unimib.it/workshop-program/ - EMPIRE - Emotions and Personality in Personalized Services http://empire2014.wordpress.com/program/ -- Dr. Ben Steichen University of British Columbia www.cs.ubc.ca/~steichen/

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Deadline Extension: International Workshop on Knowledge Maps and Information Retrieval (KMIR) at DL 2014
by Mutschke, Peter 30 Jun '14

30 Jun '14

CALL FOR PAPERS: SUBMISSION DEADLINE EXTENDED to Friday 11th July, 2014 Knowledge Maps and Information Retrieval (KMIR) Workshop at Digital Libraries 2014 11th September 2014, London, UK Submission instructions see below or workshop website: http://www.gesis.org/en/events/conferences/kmir2014/ Conference page: http://www.dl2014.org<http://www.dl2014.org/> Abstract: Knowledge maps are promising tools for visualizing the structure of large-scale information spaces, but still far away from being applicable for searching. The workshop aims at bringing together experts in IR and knowledge mapping in order to discuss the potential of interactive knowledge maps for information seeking purposes. Motivation, Goals, Objectives, Outcome The success of an information system depends mainly on its ability to properly support interaction between users and information. Current information systems, however, show as a particular point of failure the vagueness between user search terms and the knowledge orders of the information space in question (Mayr et al. 2008, Mutschke et al. 2011). Studies in interactive information seeking behavior have confirmed that the ability to browse an information space and observe similarities and dissimilarities between information objects is crucial for accidental encountering and the creative use of information (Nicholas et al. 2004, Westerman et al. 2005). This is in particular true for heterogeneous information spaces within the open web. Some kind of guided searching therefore becomes more and more important in order to precisely discover information without knowing the right search terms. Yet, this seems to remain the weakest point of interactive information systems (Ford 2000, Foster 2004, Tang 2007). Knowledge mapping encompasses all attempts to use visualizations to gain insights into the structure and evolution of large-scale information spaces. Knowledge maps can take the form of network visualizations, treemaps or specific, map like arrangements of search results (cf. Börner et al. 2003, Shiffrin/Börner 2004, Börner 2010, Klavans/Boyack 2010, Skupin et al. 2013, Sahal et al. 2013, Boyack/Klavans 2013). As an activity performed in very different disciplines - and often independent from each other - it stands in line with the dominance of the visual in our culture (Manovich 2009). Knowledge maps of digital library collections are promising navigation tools through knowledge spaces but - to the best of our knowledge - still far away from being applicable for searching digital libraries. Most maps are made for special purposes, are static, and usually not interactive (Akdag Salah et al. 2012). In interactive information systems the use of visual elements to enhance information seeking and discovery is a recurring research issue. However, not much of the experiences made in knowledge mapping have ever been implemented in online interfaces to digital libraries and collections (Börner/Chen 2001), nor is there a stable and continuous knowledge exchange between the "map makers" on the one hand and the Information Retrieval (IR) specialists on the other hand. Thus, there is also a lack of models that properly combine insights of the two strands, which are driven by quite different epistemic perspectives. Our workshop aims at bringing together these two communities: experts in IR reflecting on visual enhanced search interfaces and experts in knowledge mapping reflecting on visualizations of the content of a collection that might also present - visually - a context for a search term. The intention of the workshop is to raise awareness of the potential of interactive knowledge maps for information seeking purposes and to create a common ground for experiments aiming at the incorporation of knowledge maps into IR models at the level of the user interface. The major focus of the workshop is on the question of how knowledge maps can be utilized for scholarly information seeking in large information spaces. Our interests include interactive IR, information seeking behavior, knowledge mapping, science modelling, information visualization, and digital libraries. The workshop is closely related to the COST action KNOWeSCAPE (Analyzing the dynamics of information and knowledge landscapes: http://knowescape.org/<http://www.gesis.org/http:/>) which aims at implementing new navigation and search strategies based on insights of the complex nature of knowledge spaces as well as visualization principles for knowledge maps. The long-term research goal is to develop and evaluate new approaches for combining knowledge mapping and IR. More specifically, we address questions such as: * What are appropriate interactive knowledge maps for IR systems * How can knowledge maps be utilized for information seeking purposes? * How to locate an information need on a knowledge map? * How can (visually enhanced) search interfaces to knowledge maps look like? * How can interaction with knowledge maps be transformed into IR tasks? * Can knowledge maps improve searching in large, in particular heterogeneous, cross-language, cross-domain information spaces? * And the other way around: Can insights from IR also improve knowledge mapping itself? The availability of new IR test collections that contain citation and bibliographic information like the iSearch collection (see Lykke et al. 2010) or the ACL collection (Ritchie et al. 2006) could deliver an interesting playground for developing or evaluating combined models of IR and knowledge mapping for scholarly searching. Topical Outline To support the previously described goals the workshop topics include (but are not limited to) the following: * Knowledge maps for digital libraries * Knowledge orders of information spaces * Information seeking behaviour * Information discovery * Interactive IR systems * Human-computer IR * Knowledge Visualization in IR * Visual interfaces to information systems * Browsing and navigating information spaces * Task based user modelling, interaction and personalization * Evaluation of interactive IR systems. Types of Submissions * Full Papers (6 to 8 pages): Full papers, describing advanced or completed work * Short Papers (4 pages): Position papers or work in progress * Poster and Demonstrations (2 pages): Poster and Presentation of systems or prototypes All submissions must be written in English following the Springer LNCS Author Guidelines (http://www.springer.com/lncs) and should be submitted as PDF files to EasyChair: https://www.easychair.org/conferences/?conf=kmir2014. All submissions will be reviewed by at least two independent reviewers. At least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings AND from the program. Important Dates * Submissions: deadline extended to Friday 11th July, 2014 * Notification: Friday 25th July, 2014 * End of Registration: Monday 11th August, 2014 * Camera Ready Contributions: Friday 15th August, 2014 * Workshop: Thursday 11th September, 2014, London (UK) Output Printed proceedings will be distributed to all attendees. In addition, workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) - This way the proceedings will be permanently available and citable (digital persistent identifiers and long term preservation). All accepted workshop papers will be published in the workshop proceedings and on the DL conference USB stick. Keynote Speaker André Skupin <http://geography.sdsu.edu/People/Pages/skupin/> (San Diego State University): "Managing Domain Knowledge: Ontology, Visualization, and Beyond" Program Committee * Alkim Almila Akdag Salah, University of Amsterdam (The Netherlands) * Nicholas J. Belkin, Rutgers University (USA) · Katy Börner, Indiana University (USA) * Edward A. Fox, Virginia Polytechnic Institute and State University (USA) * Norbert Fuhr, University of Duisburg-Essen (Germany) * Peter Ingwersen, Royal School of Library and Information Science (Denmark) * Claus-Peter Klas, University of Hagen (Germany) * Birger Larsen, Royal School of Library and Information Science (Denmark) * Vivien Petras, Humboldt-Universität zu Berlin (Germany) * André Skupin, San Diego State University (USA) * Catherine L. Smith, Kent State University (USA) * Howard D. White, Drexel University (USA) Organizers * Peter Mutschke (GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany) * Andrea Scharnhorst (Royal Netherlands Academy of Arts and Sciences (KNAW) / Data Archiving and Networked Services (DANS), Amsterdam / The Hague, The Netherlands) * Christophe Guéret (Royal Netherlands Academy of Arts and Sciences (KNAW) / Data Archiving and Networked Services (DANS), Amsterdam / The Hague, The Netherlands) * Philipp Mayr (GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany) * Preben Hansen (University of Stockholm, Department of Computer and Systems Sciences, Sweden) * Aida Slavic (UDC Consortium, The Hague, The Netherlands) Kind regards, Peter Mutschke --- Acting Head of Department Dep. Knowledge Technologies for the Social Sciences (WTS) GESIS - Leibniz Institute for the Social Sciences Unter Sachsenhausen 6-8 D-50667 Köln Tel.: +49(0)221 / 47694 -500 Fax: +49(0)221 / 47694 -8500 Mail: peter.mutschke(a)gesis.org<mailto:peter.mutschke@gesis.org> www.gesis.org<http://www.gesis.org/>

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IEEE VIS 2014 CFP: Six Workshops
by G.Elisabeta Marai 27 Jun '14

27 Jun '14

IEEE VIS 2014 http://ieeevis.org *************************************** - Hotel reservation is now open. - Registration will open in a week *************************************** CALL FOR PARTICIPATION: SIX WORKSHOPS * Death of the Desktop – Envisioning Visualization without Desktop Computing * Provenance for Sensemaking * DECISIVe : Dealing with Cognitive Biases in Visualisations * Towards An Open Visualization Literacy Testing Platform * Visualization for Predictive Analytics * Visualizing Electronic Health Record Data For submission deadlines, please see links below. *Death of the Desktop – Envisioning Visualization without Desktop Computing* Yvonne Jansen, Petra Isenberg, Jason Dykes, Sheelagh Carpendale, Sriram Subramanian, Daniel Keefe beyond.wallviz.dk The Desktop computer is dead. Monitors sit on desks, unplugged - hosting layers of Post-It notes or gathering dust as a retro emergency low-light mirror. Visualization is colourful, big, tangible, nosy, interactive, compelling and everywhere. It supports all sorts of creative activity and is key to problem solving in education, science, government and industry. But how? What is your 'imagined future' for visualization? We will be exploring possible visualization scenarios with short but rich scenarios in which designers, practitioners and researchers creatively explore opportunities for 'beyond-the-desktop' visualization. We will be discussing these and using them to develop the community’s perspective on the future of VIS. For the detailed workshop description, submission details, and program please visit the workshop website at beyond.wallviz.dk *Provenance for Sensemaking* Kai Xu, Simon Attfield, T.J. Jankun-Kelly http://www.cs.mdx.ac.uk/prov4sense/ During complex sensemaking and analysis task, it can be valuable to maintain a history of the processes and transformations involved - referred to as ‘provenance’ information. Provenance information can be a resource for "reﬂection-in-action" during analyses, for supporting planning and reframing of objectives and scope. It can also be a resource after the event, supporting the interpretation of claims, audit, accountability or training. There has been considerable work on capturing and visualizing of ‘data provenance’, which focuses on data collection and computation, and ‘analytic provenance’, which captures the interactive data exploration process. However, there is limited work of utilizing these provenance information to support sensemaking, in terms of improving its efﬁcacy and avoid pitfalls such as data quality issue and human bias. This workshop aims to bring together researchers involved in visual analytics and various aspects of sensemaking to consider emerging positions, questions, and ﬁndings related to the capture, processing, representation and use of provenance information to support complex sensemaking tasks. The emphasis is on discussion and collaboration, with a goal to produce a paper describing the state-of-the-art of provenance for sensemaking after the workshop. *DECISIVe: Dealing with Cognitive Biases in Visualisations* Geoffrey Ellis, David Peebles, Donald Kretz, Gaëlle Lortal http://decisive-workshop.dbvis.de/ Our inherent reliance on mental shortcuts, or heuristics, sometimes results in deviations in judgment from what rational decision models would predict. These deviations are known as cognitive biases. Heuristics allow us to make “good enough” decisions without expending all of our cognitive effort on the task, however, in critical decision environments, “good enough” is often NOT good enough. Visualization tools are increasingly adept at making sense of complex data, but researchers who study cognitive biases have come to realize that the quality of decisions made with these tools are often impaired because tool designers fail to address how heuristics and biases operate in a human-computer interactive setting. The aim of this workshop is to bring together a wide range of researchers and developers from domains such as information visualization, visual analytics and cognitive psychology to explore some of the ways in which biases impact user performance and share ideas and experiences about practical ways to reduce or overcome these potentially harmful effects in the systems we build. *Towards An Open Visualization Literacy Testing Platform* Sung-Hee Kim, Jeremy Boy, Sukwon Lee, Ji Soo Yi, and Niklas Elmqvist http://visualizationliteracy.org We propose a hands-on workshop where participants will learn about and discuss visualization literacy by actually designing and evaluating questions for a visualization literacy measure. Though the value of information visualization is becoming apparent to a broad audience, visualization researchers often acknowledge that people have different levels of understanding of visualization techniques. In other words, our understanding of how users interpret visualizations has not caught up with design and technical developments, and even the concept of visualization literacy is still debated. Different domains of research, such as mathematics education, cognitive science, and psychology, have been approaching this problem within their domain. We believe that researchers in information visualization and visual analytics should lead the effort in deﬁning the concept, and in creating valid and practical measurement tools. The goal of our workshop is to take a step in this direction by developing a better understanding of visualization literacy, identifying possible metrics for evaluation, and raising new questions for future research through the design and evaluation of visualization literacy tests. The outcome of our workshop will be a participatory web-platform for collectively created visualization literacy tests and questionnaires that can directly be used by researchers in our community. *Visualization for Predictive Analytics* E. Bertini, A. Perer, R. Maciejewski, J. Sun http://predictive-workshop.github.io One of the surprising facts of much current visualization research is that prediction does not often play a significant role. Most visualization research seems to focus exclusively on data analysis and presentation, with little support for predictive analytics and the numerous models researchers have developed for this purpose. Upon reflection, this comes as a surprise as many scientific endeavors and many business problems are mostly concerned with prediction. Looking more closely at the recent advancements (and tremendous popularity) of Data Science, one may recognize that the vast majority of problems addressed involve some form of prediction and modelling. Notable examples are: prediction of drug effectiveness in drug development, prediction of diseases in healthcare, prediction of crime in city management. Our goals are to increase the awareness about this interesting opportunity for visualization research, collect and compare examples of existing and ongoing research in this area and to for visual analytics researchers. The workshop will allow participants to showcase their existing research and ideas and to learn and reflect on the latest advances in visualization of predictive models. *Visualizing Electronic Health Record Data* Catherine Plaisant, Silvia Miksch, Theresia Gschwandtner, Sana Malik http://www.cs.umd.edu/hcil/parisehrvis Electronic Health Record (EHR) databases contain millions of patient records including events such as diagnoses, test results, or medication prescriptions. These records are an invaluable data source for clinical research and improvement of clinical quality, as they provide longitudinal health information about patient populations. The use of EHR databases could be dramatically improved if easy-to-use interfaces allowed clinical researchers and quality improvement analysts to explore complex patterns in order to build and test hypotheses regarding the benefits, risks, and appropriateness of treatments or medication regimens. Novel strategies in information visualization and visual analytics are needed. The interest in this topic is growing at very rapid pace and is very interdisciplinary by nature, both in term of field (medicine and computer science) but also research environment (academic research as well as industry and government agencies). Because of the European location of the conference, we have a unique opportunity to create bridges and explore new collaborations between groups that would have never met otherwise. VIS'14 WORKSHOP CHAIRS Nathalie Henry Riche, Microsoft Research Redmond Tobias Isenberg, INRIA Saclay – Île-de-France Tobias Schreck, University of Konstanz Zoė J. Wood, California Polytechnic For further information, please email workshops(a)ieeevis.org. -- Liz -- G. Elisabeta Marai Robotics Institute School of Computer Science Carnegie Mellon University http://visualizlab.org/people/marai

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BELIV 2014 Workshop: Extend paper deadline to July 7, 2014
by Heidi Lam 26 Jun '14

26 Jun '14

BELIV 2014, Nov. 10, Paris, France co-located with IEEE VIS 2014 http://beliv.org *JULY 7, 2014: EXTENDED PAPER DEADLINE* CALL FOR PAPERS (RESEARCH & POSITION) We invite you to contribute to BELIV 2014, the international workshop on evaluation in visualization. Even though established scientific methods like controlled experiments and standard metrics like time and error continue to be the workhorse of evaluation in visualization, there is a growing need in the community to develop special approaches and metrics for evaluation at all stages of the development life cycle that address specific needs in visualization. The goal of the workshop is to continue the discussion and spread the word on alternative and novel evaluation methods and methodologies for visualization. Paper Types We accept two types of submissions—research papers and position papers. The workshop focuses on contributions from all areas of visualization, including visual analytics, information visualization, and scientific visualization. *Research papers* aim to make progress toward novel evaluation methods in visualization and to discuss their benefits and limitations compared to traditional methodologies. As in past editions of BELIV, we will not accept papers that merely report on the evaluation of a system or technique unless the focus of the contribution is on lessons learned about applying a novel evaluation method or methodology and new insights on the evaluation itself are presented. Research papers present new work and unpublished results on the topic areas of the workshop. Research papers will be selected according to their novelty, quality, and relevance. *Position papers* are problem discussions or statements describing the author's relevant experience and ideas in regards to evaluation methods and methodologies for visualization. Position papers will be selected according to their importance and relevance for the workshop topics and how well they will fit the planned discussions. Both types of papers can be up to eight pages long but the length of a submission needs to correspond to its contribution. All papers will be peer-reviewed by members of the program committee as well as the organizers. We are currently working on making sure that we will be able to publish all accepted papers in the ACM digital library including the assignment of DOIs to the papers. We also plan to invite a selected subset of the papers to contribute to a special issue in a major visualization journal venue such as the Information Visualization Journal. Important Dates June 30, 2014: Paper submission due Aug 1, 2014: First notification Sept 1, 2014: Revisions due Sept 15, 2014: Final notification Nov 10, 2014: BELIV workshop (1-day) Submission To submit a paper create an account and submit the paper to the submission system at: https://cmt.research.microsoft.com/BELIV2014/. Please clarify whether you are submitting a position or research paper. For additional questions, email the organizers at beliv.workshop(a)gmail.com Format All the submissions should be formatted in the ACM style. Suitable templates, in LaTeX and Word, can be downloaded from: http://www.acm.org/sigs/publications/proceedings-templates. The submission, however, must be made in PDF format. Topics of Interest Topics include, but are not limited to: Evaluation in the visualization development lifecycle, Utility characterization, Evaluation metrics, Insight characterization, Synthetic data sets and benchmarks, Taxonomy of tasks, Computational evaluation, Benchmark development and repositories, Methods for longitudinal studies and adoption, Evaluation of early prototypes, Evaluation heuristics and guidelines, and Reflections on evaluation practice in visualization in the past, present, and future. Topics of Non-Interest Evaluation results of a visualization system or technique Organizers: Heidi Lam, Google Petra Isenberg, INRIA Tobias Isenberg, INRIA Michael Sedlmair, University of Vienna Papers from previous BELIVs For past BELIV workshops and papers see these links: BELIV 2006: published in the ACM DL <http://doi.acm.org/10.1145/1168149> BELIV 2008: published in the ACM DL <http://doi.acm.org/10.1145/1377966> BELIV 2010: published in the ACM DL <http://doi.acm.org/10.1145/2110192> BELIV 2012: published in the ACM DL <http://doi.acm.org/10.1145/2442576>

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