June 2017 - Infovis - infovis.org

VINCI 2017 Call For Posters
by Yina Li 06 Jun '17

06 Jun '17

VINCI 2017 The 10th International Symposium on Visual Information Communication and Interaction Bangkok, Thailand, 14-16 August 2017 Poster submission deadline 12 June 2017 vinci-conf.org ============================================================ Visual communication through graphical or sign languages has long been conducted among human beings of different backgrounds or cultures, and in recent decades between human and machine. In today's digital world, visual information is typically encoded with various metaphors commonly used in daily life to facilitate rapid comprehension and easy analysis during the communication process. Visual information communication generally encompasses information visualization, graphical user-interfaces, visual analytics, and visual languages. Visual information is increasingly being used to facilitate human-human communication through the Internet and mobile devices. The Symposium on Visual Information Communication and Interaction (VINCI) (vinci-conf.org) is the premier international forum for researchers and industrial practitioners to discuss the state-of-the-art in visual communication theories, designs, and applications. The 10th International Symposium on Visual Information Communication and Interaction (VINCI'17) will be held during 14-16 August 2017, in Bangkok, Thailand. All accepted posters will be published by ACM Press and made available in the ACM Digital Library (EI indexed). ============================================================ 1. SCOPES AND TOPICS We solicit original, unpublished research posters that focus on all aspects of visual information communication and interaction, either via images, computer graphics, animations, virtual reality, web, or other media. Research papers may address cognitive and design aspects, underlying theories, taxonomies, implementation work, tool support, and case studies. Topics of interest include but are not limited to the following: Cognitive aspects of visual information comprehension Empirical studies of novel visual metaphor Visual interaction through multimodality Visual approaches for knowledge discovery Computational aesthetics Visual analytics Graph drawing and (multivariate) network visualization Information visualization Graphical user interface design Aesthetics in visual communication Influence of visual arts and design Visual modeling languages and UML Visual communication metaphors Visual programming languages Visualization on mobile devices Applications like SoftVis, BioVis, GeoVis, ... Sketching Human-computer interaction 2. POSTER SUBMISSION Submissions that address research and development, as well as experience reports and tool demonstrations on the above and other related topics are strongly encouraged. All accepted posters will appear in the proceedings of VINCI 2017 published by ACM Press and made available in the ACM Digital Library (EI indexed). Posters are up to two ACM double-column pages,and should be submitted through easychair.org. 3. KEYNOTE SPEECH Keynote speech 1 Learning through Overcoming Inconsistencies, Prof. Du Zhang, (Macau University of Science and Technology) Du Zhang is Professor and Dean of the Faculty of Information Technology, Macau University of Science and Technology, Macau, China. He received his Ph.D. and M.S. degrees, both in computer science, from the University of Illinois and Nanjing University, China, respectively. Previously he was a Professor and Chair of the Computer Science Department at California State University, Sacramento. He has research affiliations with numerous universities in the USA, UK, Hong Kong, China, Czech Republic, and Mexico. Professor Zhang's current research interests include machine learning (inconsistency-induced perpetual learning), knowledge-based systems, big data analytics, and software engineering. He has over 200 publications in these and other areas. He has served in various roles on numerous international conferences, and is editor or editorial board member for several journals in the areas of artificial intelligence, software engineering and knowledge engineering, big data, and applied mathematics. Professor Zhang is a senior member of both the IEEE and ACM, a board member of the Society of Information Reuse and Integration, and a member of Upsilon Pi Epsilon and Phi Beta Delta. Keynote speech 2 Michael CohenSpatial Media and Visualization, Prof. Michael Cohen (University of Aizu, Japan) Michael Cohen received an Sc.B. in EE from Brown University (Providence, Rhode Island) in 1980, M.S. in CS from the University of Washington (Seattle) in 1988, and Ph.D. in EECS from Northwestern University (Evanston, Illinois) in 1991. He has worked at the Air Force Geophysics Lab (Hanscom Field, Massachusetts), Weizmann Institute (Rehovot; Israel), Teradyne (Boston, Massachusetts), BBN (Cambridge, Massachusetts and Stuttgart; Germany), Bellcore (Morristown and Red Bank, New Jersey), the Human Interface Technology Lab (Seattle, Washington), and the Audio Media Research Group at the NTT Human Interface Lab (Musashino and Yokosuka; Japan). He is currently a Professor in the Human Interface Lab at the University of Aizu (Aizu-Wakamatsu, Japan). He has research interests in user interfaces for telecommunications, groupware and CSCW (computer-supported collaborative work), stereotelephonics, digital typography and electronic publishing, hypermedia, ubicomp (ubiquitous computing) and virtual reality. Besides teaching various undergraduate courses including Information Theory, he co-teaches graduate-level courses in Acoustic Modeling, and Computer Music. He is a member of the ACM, IEEE, 3D-Forum, TUG (TeX Users Group), and VRSJ (Virtual Reality Society of Japan). 4. IMPORTANT DATES Poster submission deadline: June 12, 2017 (23:59 PST) Notification of decision: June 19, 2017 (23:59 PST) 5. ORGANIZATION General Chair Robert P. Biuk-Aghai, University of Macau, Macau Program Chairs Shigeo Takahashi, University of Aizu, Japan Jie Li, Tianjin University, China Local Chair Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi, Thailand Finance Chair Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand Publicity Chair Yi-Na Li Texas A&M University, USA 6. PROGRAM COMMITTEE Benjamin Bach, Harvard University Rita Borgo, King's College London Paolo Bottoni, Sapienza University of Rome Paul Bourke, University of New South Wales Stephen Brooks, Dalhousie University Michael Burch, University of Stuttgart Vetria Byrd, Purdue University Daniel Cernea, AGT International Wei Chen, Zhejiang University Gennaro Costagliola, Università di Salerno Achim Ebert, University of Kaiserslautern Mai Elshehaly, Virginia Tech Vittorio Fuccella, Università di Salerno Liang Gou, Visa Research Denis Gracanin, Virginia Tech Jiquan Han, Huawei Technologies Jiangen He, Drexel University Masahito Hirakawa, Shimane University Seok-Hee Hong, University of Sydney Xiaodi Huang, Charles Sturt University Weidong Huang, University of Tasmania Takayuki Itoh, Ochanomizu University Andreas Kerren, Linnaeus University Karsten Klein, University of Konstanz Jun Kong, North Dakota State University Robert S. Laramee, Swansea University Yina Li, Nankai University Zhanping Liu, Kentucky State University Zhipeng Liu, Huawei Technologies Aidong Lu, UNC Charlotte Kresimir Matkovic, VRVis Research Center John McGhee, UNSW Australia Kazuo Misue, University of Tsukuba Chris Muelder, University of California at Davis Quang Vinh Nguyen, University of Western Sydney Patrick Pang, The University of Melbourne Margit Pohl, Vienna University of Technology Francois Poulet, IRISA Martin R?hlig, University of Rostock Raimondo Schettini, Università degli Studi di Milano-Bicocca Kamran Sedig, The University of Western Ontario Guanglei Song, Twitter Arcot Sowmya, University of New South Wales Changming Sun, CSIRO Ioannis G. Tollis, University of Crete Cagatay Turkay, City University London Gualtiero Volpe, DIBRIS-University of Genova Sai-Keung Wong, The National Chiao Tung University Hsiang-Yun Wu, Keio University Jie Wu, Tongji University Yingcai Wu, Zhejiang University Yu-Bin Yang, Nanjing University Kang Zhang, University of Texas at Dallas Ye Zhao, Kent State University Jianlong Zhou, CSIRO Hong Zhou, Shenzhen University

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2nd Call for Papers -- Workshop on Visualization For Machine Learning And Knowledge Extraction at CD-MAKE 2017 -- Deadline June 12 !
by Turkay, Cagatay 05 Jun '17

05 Jun '17

Dear Colleagues, Below is the 2nd Call for Papers for the following workshop titled “Visualization For Machine Learning And Knowledge Extraction” at CD-MAKE 2017, deadline is JUNE 12 !! We invite submissions to this workshop titled “Visualization For Machine Learning And Knowledge Extraction” <https://cd-make.net/special-sessions/make-vis> which is organized as a special session within the “CD-MAKE 2017 -- International Cross Domain Conference for Machine Learning & Knowledge Extraction” Conference <https://cd-make.net<https://cd-make.net/>> taking place between ** August 29 – September 1, 2017 ** in Reggio di Calabria, Italy. This workshop calls for contributions that demonstrate the role and the value of visualization within the whole data science process. The central goal of this workshop is to bring together experts from machine learning and visualization, and also practitioners and researchers from both academia and industry to spark discussion through reflections on cross-domain problems and on the use of diverse techniques from various fields. Accepted papers will be published in Lecture Notes in Artificial Intelligence (LNAI) by Springer <http://www.springer.com/series/1244> and selected papers will be invited to a special issue of the Information Visualization journal by Sage <http://journals.sagepub.com/home/ivi> following the event. The deadline for submission is: ** DEADLINE June 12, 2017 ** For further details, please refer to the CFP below, and for questions feel free to contact Cagatay Turkay <Cagatay.Turkay.1(a)city.ac.uk> and Bob Laramee <r.s.laramee(a)swansea.ac.uk>. CD-MAKE Visualisation Organizing Committee, Cagatay TURKAY, City, University of London, UK Robert S. LARAMEE, Swansea University, UK Chaomei CHEN, Drexel University, USA Andreas HOLZINGER, Graz University of Technology, Austria ==== CALL FOR PAPERS ===== VISUALIZATION FOR MACHINE LEARNING AND KNOWLEDGE EXTRACTION A Special Session at CD-MAKE 2017 -- International Cross Domain Conference for Machine Learning & Knowledge Extraction <https://cd-make.net/> AIM & SCOPE ------------------------- The central goal of this workshop is to bring together experts from machine learning and visualization. Machine learning and Knowledge extraction is an enormously increasing field with many practical applications. Whilst algorithm development is surely at the center of the whole pipeline, it is the visualization which ultimately makes the results accessible to the end user. Visualization thus can be seen as a mapping from arbitrarily high-dimensional spaces to the lower dimensions and plays a central and critical role in interacting with machine learning algorithms, and particularly with interactive machine learning (iML) with the human-in-the-loop. BACKGROUND ------------------------- The unprecedented increase in the amount, variety and value of data has been significantly transforming the way that scientific research is carried out and businesses operate. Knowledge generated from data drives innovation in almost all application domains, including health, transport, cyber security, manufacturing, digital services, and also scientific domains such as biology, medicine, environmental and physical sciences, the humanities and social sciences to name a few. Within data science, which has emerged as a practice to enable this data-intensive innovation by gathering together and advancing the knowledge from fields such as statistics, machine learning, knowledge extraction, data management, and visualization, visualization plays a unique and maybe the ultimate role as an approach to facilitate the human and computer cooperation, and to particularly enable the analysis of diverse and heterogeneous data using complex computational methods where algorithmic results are challenging to interpret and operationalize. Visual data science approaches not only support the abstraction and communication of findings, but also enable new forms of investigation and exploration that can lead to novel and better-informed observations and data-driven inferences. CALL FOR CONTRIBUTIONS ------------------------- This workshop calls for contributions that demonstrate the role and value of visualization for machine learning and knowledge extraction but also within the whole data science process. Methods that exemplify the value of the synergy between visualization and fields such as machine learning, statistics or data mining, and examples of applications where such visual data science approaches deliver new ways of extracting knowledge are highly encouraged. The workshop aims to bring together practitioners and researchers from both academia and industry, and aims to spark discussion and cross-breeding through reflections on cross-domain-driven problems and on the use of diverse techniques from various fields. SUGGESTED TOPICS FOR PAPERS INCLUDE, BUT ARE NOT LIMITED TO: ------------------------- -- Novel visual representations and interaction techniques to facilitate human-involved interactive machine learning and knowledge extraction processes -- Methods and tools for the presentation, production, and visual dissemination of analytical findings -- Data management and knowledge representation including scalable data representations -- Applications of visual data science that demonstrate the value of such a hybrid approach in a given application domain -- Methods related to clustering, subspace visualization, dimensionality reduction -- Visual analytics and konowledge discovery -- Applications of visual analytics -- Graph and Network Visualization -- Algebraic and Computational Topology and Visualization SUBMISSION FORMAT ------------------------- Accepted papers, 6-20 pages (even page numbers!) – please consult the general CD-MAKE submission guidelines<https://cd-make.net/authors-area/submission/> – will be published in the CD-MAKE Springer Volume of Lecture Notes in Artificial Intelligence (LNAI). Selected papers will be invited to a special issue of the Information Visualization (Sage) journal following the event (separate information will be provided soon). JOURNAL INFORMATION: ------------------------- Sage Information Visualization, SCI IF (2015) = 0.639 http://journals.sagepub.com/home/ivi http://dblp.uni-trier.de/db/journals/ivs Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. DATES: ------------------------- *** Submission deadline: June 12, 2017 *** Notifications: July 3, 2017 *** Camera-Ready deadline: July, 9, 2017 (hard deadline – no extensions possible) *** Workshop: August 29 – September 1, 2017 ORGANIZING COMMITTEE: ------------------------- Cagatay TURKAY, City, University of London, UK Robert S. LARAMEE, Swansea University, UK Chaomei CHEN,Drexel University, USA Andreas HOLZINGER, Graz University of Technology, Austria TECHNICAL COMMITTEE: ------------------------- Colleagues from the main CD-MAKE committee<https://cd-make.net/committees>

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Final Call for Papers: Graph Drawing and Network Visualization GD 2017
by Fabrizio Frati 03 Jun '17

03 Jun '17

=========================================================================== Final Call for Papers GD 2017 25th International Symposium on Graph Drawing and Network Visualization September 25-27, 2017 - Boston, MA, U.S.A. http://graphdrawing.org/gd2017 =========================================================================== PDF version: https://gd2017.ccis.northeastern.edu/files/2017/02/GD2017CFP.pdf =========================================================================== Graph Drawing is concerned with the geometric representation of graphs and constitutes the algorithmic core of Network Visualization. Graph Drawing and Network Visualization are motivated by applications where it is crucial to visually analyze and interact with relational datasets. Examples of such application areas include data science, social sciences, Web computing, information systems, biology, geography, business intelligence, information security and software engineering. GD has been the main annual event in this area for more than 20 years. Its focus is on combinatorial and algorithmic aspects of graph drawing as well as the design of network visualization systems and interfaces. GD 2017 will take place September 25-27, 2017 at the Northeastern University in Boston, Massachusetts, USA. Researchers and practitioners working on any aspects of graph drawing and network visualization are invited to contribute papers and posters and to participate in the symposium and the graph drawing contest. PAPERS ------ We invite authors to submit papers describing original research of theoretical or practical significance to graph drawing and network visualization. Regular papers must be submitted explicitly to one of two distinct tracks. Papers submitted to one track will not compete with papers submitted to the other track. Track 1: Combinatorial and algorithmic aspects ---------------------------------------------- This track is mainly devoted to fundamental graph drawing advances, such as combinatorial aspects and algorithm design. The range of topics for this track includes (but is not limited to): • Design and analysis of graph drawing algorithms • Geometric graph theory • Geometric computing • Planarity and topological graph theory • Optimization on graphs Track 2: Experimental, applied, and network visualization aspects ----------------------------------------------------------------- This track is mainly devoted to the practical aspects of graph drawing, such as the development of network visualization systems and interfaces in different application areas. The range of topics for this track includes (but is not limited to): • Visualization of graphs and networks in real world applications, including big data • Engineering of network visualization algorithms and systems • Experimental results in graph theory and algorithms • Benchmarks and experimental studies of network visualization systems and user interfaces • Cognitive studies on graph drawing readability and user interaction • Interfaces and methods for interacting with graphs Short papers ------------ In addition to the above two tracks, there will be a separate category for short papers, describing theoretical or applied contributions of shorter length. Papers in this category will be assigned a shorter time for presentation during the conference. Demos ----- Authors of applied papers will have the opportunity to show a demo of their software/system during the poster session. Submission format ----------------- All submissions must be formatted using the LaTeX style file for the conference series Lecture Notes in Computer Science (LNCS) provided by Springer. The default margins and fonts must not be modified; in particular, the use of packages such as times.sty is not allowed. Submissions that do not comply with this format risk rejection without consideration of their merits. The length of regular papers is limited to 12 pages (excluding references), while the length of short papers is limited to 6 pages (excluding references). The claims of the paper should be fully substantiated, including full proofs or appropriate experimental data. If this information does not fit within the page limits, the authors should include it in a clearly marked appendix, whose length is not constrained and which the reviewers may read at their own discretion. POSTERS ------- Submissions of posters on graph drawing, network visualization, and related areas are solicited. The poster session will provide a forum for the communication of late-breaking research results (which may also appear elsewhere) to the GD community. Authors of posters should prepare an abstract (up to 2 pages in the LNCS style) that must be submitted together with the poster itself. CONTEST ------- Details about the traditional Graph Drawing Contest held at the conference will be provided on the conference Web site. PUBLICATION ----------- All accepted papers (including the two-page poster abstracts) will appear in the conference proceedings, published by Springer in the Lecture Notes in Computer Science (LNCS) series. Twelve pages (excluding references) will be allocated for regular papers and six pages (excluding references) for short papers. The LNCS proceedings will be made freely accessible to the GD community upon publication and openly accessible to anyone after four years. Authors will be required to submit their accepted papers to the arXiv repository, in order to provide immediate and unrestricted open access to them. The self-archived arXiv papers shall consist of an identical copy of the LNCS proceedings plus an optional clearly marked appendix, possibly containing a long version of the entire paper or proofs that have been omitted from the main text. Subsequent submissions of different versions of the paper to the arXiv (known as arXiv ``replacements’’) are allowed. Upon submission of the camera-ready version of an accepted paper, the authors will be required to specify the arXiv identifier associated with the paper for inclusion in a conference index, which will be also published in the ArXiv repository. Failure to comply with these guidelines will impede the publication of the paper. Each paper must be presented at the conference by an author (baring unforeseen circumstances), otherwise the paper will not be included in the proceedings. Should any visa restriction prevent an author from attending the conference and presenting a paper, he/she will be given ways to participate and give the talk via electronic means. Selected papers from both tracks will be invited for submission to a special issue of the Journal of Graph Algorithms and Applications (JGAA). The authors of the best paper in Track 2 will be invited to submit a substantially extended and enhanced version of their work to IEEE Transactions on Visualization and Computer Graphics (TVCG). AWARDS ------ For each of the two tracks, the Program Committee of GD 2017 will give a Best Paper Award. In addition, to recognize the effort of participants to present their work and to prepare their posters in a clear and elegant way, there will be a Best Presentation Award and a Best Poster Award voted on by the GD 2017 attendees. IMPORTANT DATES --------------- • Paper submission deadline: June 11 (23:59 PDT) – Updates possible until June 13 (23:59 PDT) • Notification of paper acceptance: July 28 • Poster submission deadline August 17 (23:59 PDT) • Notification of poster acceptance August 28 • Final versions due September 3 • Contest submission deadline September 13 • Symposium September 25-27 INVITED SPEAKERS ---------------- Timothy M. Chan, University of Illinois at Urbana-Champaign, USA Alessandro Vespignani, Northeastern University, US PROGRAM COMMITTEE ----------------- Daniel Archambault, Swansea University, GB Benjamin Bach, University of Edinburgh, GB Fabian Beck, Universität Duisburg-Essen, DE Michael Bekos, Universität Tübingen, DE Therese Biedl, University of Waterloo, CA Giordano Da Lozzo, UC Irvine, US Vida Dujmovic, University of Ottawa, CA Stephane Durocher, University of Manitoba, CA Tim Dwyer, Monash University, AU Fabrizio Frati (co-chair), Università Roma Tre, IT Martin Gronemann, Universität zu Köln, DE John Alexis Guerra Gómez, Universidad de los Andes, CO Michael Hoffmann, ETH Zürich, CH Yifan Hu, Yahoo Research, US Takayuki Itoh, Ochanomizu University, JP Anna Lubiw, University of Waterloo, CA Kwan-Liu Ma (co-chair), UC Davis, US Fabrizio Montecchiani, Università degli Studi di Perugia, IT Martin Nöllenburg, Technische Universität Wien, AT Arnaud Sallaberry, LIRMM, FR Andrew Suk, University of Illinois at Chicago, US Antonios Symvonis, National Technical University of Athens, GR Ioannis Tollis, University of Crete, GR Csaba Tóth, California State University Northridge, US Alexander Wolff, Universität Würzburg, DE Jian Zhao, FX Palo Alto Laboratory, US ORGANIZING COMMITTEE -------------------- Cody Dunne (co-chair), Northeastern University, US Alan Keahey (co-chair), Conversant, US CONTEST COMMITTEE ----------------- Philipp Kindermann, Universität Würzburg, DE Maarten Löffler (chair), Utrecht University, NL Ignaz Rutter, Karlsruhe Institute of Technology, DE

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