April 2017 - Infovis - infovis.org

Re: [Infovis] National Academies Final Report on Future Directions for NSF Advanced Computing Infrastructure
by Borner, Katy 10 Sep '17

10 Sep '17

Relevant for computational network science, computational SciSIP, computational social science, and many other computational X. k From: NSF/CISE Division of Advanced Cyberinfrastructure (ACI) Announcements [mailto:ACI-ANNOUNCE@LISTSERV.NSF.GOV] On Behalf Of Kurose, James Sent: Wednesday, May 18, 2016 10:05 AM To: ACI-ANNOUNCE(a)LISTSERV.NSF.GOV Subject: National Academies Final Report on Future Directions for NSF Advanced Computing Infrastructure Dear Computing and Information Science and Engineering Community, It is our great pleasure to inform you that the final report from the National Academies on Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science and Engineering in 2017-2020 is now available for download at http://www.nap.edu/catalog/21886. This study was commissioned by CISE’s Division of Advanced Cyberinfrastructure (ACI) in 2013 to examine priorities and trade-offs for advanced computing in support of NSF-supported science and engineering research. An interim report was published in Fall 2014 identifying key issues and catalyzing input from the community. The final report, which was issued in late April, considered contributions from multiple stakeholders, including more than 60 submitted comments from individuals, research groups, and organizations. The recommendations within the report aim to: (1) position the United States for continued leadership in science and engineering; (2) ensure that computing resources meet community needs; (3) aid the scientific community in keeping up with the revolution in computing, and (4) sustain the infrastructure for advanced computing. We are enthusiastic about the study’s helpful observations and recommendations. The timing of the report is excellent, syncing with planning for NSF’s future research cyberinfrastructure (CI) investments. It also nicely complements the National Strategic Computing Initiative (NSCI)<https://www.whitehouse.gov/the-press-office/2015/07/29/executive-order-crea…> that was announced last summer and some of our internal planning with respect to data infrastructure as the NSF-wide Cyberinfrastructure for 21st-Century Science, Engineering, and Education (CIF21) effort transitions. Please join us in thanking the study committee for all their work, especially the study co-chairs, Bill Gropp and Robert Harrison. We also want to thank the community for thoughtful input and review. We invite you to a webcast<https://nsfevents.webex.com/mw0401lsp13/mywebex/default.do?nomenu=true&site…> on this new report with Bill and Robert during the next meeting of the Advisory Committee for Cyberinfrastructure (ACCI)<https://www.nsf.gov/events/event_summ.jsp?cntn_id=138596&org=null> on Monday, May 23rd at 10:45 AM ET. Sincerely, Irene and Jim Irene Qualters, Division Director, Advanced Cyberinfrastructure Jim Kurose, Assistant Director of NSF for CISE ########################################################################

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CFP: ACM TIST Special Issue on Visual Analytics
by Yingcai Wu 27 Jun '17

27 Jun '17

Sorry if you have received multiple copies of this email. =========================================================================== Call for Papers ACM Transactions on Intelligent Systems and Technology Special Issue on Visual Analytics: Towards Effective Human-Machine Intelligence =========================================================================== Full Paper Submission Deadline: August 31, 2017 PDF version: http://tist.acm.org/CFPs/CFP-TIST-VA.pdf =========================================================================== We call for novel and high-quality submissions on visualization and visual analytics for a special issue of ACM Transactions on Intelligent Systems and Technology (ACM TIST). Visualization turns data into intuitive visual representations and allows people to quickly see, interact, and analyze the patterns in the data. As an old saying goes "a picture worth a thousand words", visualization can significantly improve the abilities of people to understand and interpret the data and analysis results. Visual analytics is an emerging research area that evolves from visualization, which aims to support "analytical reasoning facilitated by interactive visual interfaces". Visual analytics can enable human-machine intelligence that effectively integrates human knowledge and expertise into powerful data mining algorithms through highly interactive visualizations. Visualization and visual analytics have been used in many applications to tackle various important problems in the big data era, such as tackling urban issues like traffic jam and air pollution, making better diagnostic and treatment decisions, preventing threats and fraud in business, optimizing rescue efforts, forecasting severe weather conditions, and achieving situational awareness during crisis. This special issue will introduce the readership to the latest innovations and provide a spotlight on emerging and promising research topics in visual analytics and visualization for highly effective human-machine intelligence. We invite high quality submissions aiming to enable human and machine to work a team to solve practical problems via intelligent visualization systems and technologies. Topics of interest include but not limited to: Exploring Big Data using Visual Analytics . Visual urban analytics . Visual analytics of social media data . Visual text analytics . Visual analytics of healthcare data . Visual analytics of multimedia data . Visual analytics for bioinformatics . Visual analytics of business data . Visualization and visual analytics for humanities . Visual analytics of user behavior data . Visual analytics of engineering data . Visual representations and interaction techniques for visual analytics . Data management and knowledge representation for visual analytics . Analytical reasoning and collaborative analytics through visualization . Taxonomies and models Understanding Human Factors in Interactive Machine Learning . User studies for identifying the role of humans in interactive machine learning . Evaluating and understanding the difficulties that users have with machine learning . User studies of comparing interactive machine learning tools and systems . Case studies of the use of a machine learning tool for solving important problems Visualizing and Diagnosing Machine Learning . Visual analytics and visualization for explaining machine learning models . Visual analytics and visualization for diagnosing machine learning models . Visual analytics and visualization for better analysis of deep learning Submissions Online Submission (available in July 1, 2017): http://mc.manuscriptcentral.com/tist (please select "Special Issue: Visual Analytics" as the manuscript type) Details of the journal and manuscript preparation are available on the website: http://tist.acm.org/ Each paper will be peer-reviewed by at least three reviewers. Important Dates . Full Paper Submission Deadline: August 31, 2017 . Review Notification: November 31, 2017 . Final Manuscript: January 31, 2018 . Publication Date: 2018 Guest Editors . Yingcai Wu, Zhejiang University . Nan Cao, Tongji University . David Gotz, University of North Carolina at Chapel Hill . Steffen Koch, University of Stuttgart ============================================================================ ====

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Call for Papers -- Workshop on Visualization For Machine Learning And Knowledge Extraction at CD-MAKE 2017
by Turkay, Cagatay 28 Apr '17

28 Apr '17

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: ** 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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data science position at Brookhaven National Lab
by Klaus Mueller 27 Apr '17

27 Apr '17

Brookhaven National Lab, Long Island, New York, is hiring a data scientist. The job posting is attached. They are looking for someone interested in data-analysis applied specifically to science problems. So, this could be a computer scientist with an interest in science, or some kind of Ph.D. scientist with strong programming interests. This is with the Center for Functional Nanomaterials. The website is www.bnl.gov/cfn/jobs (search for Job ID 953) --Klaus

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Call for Papers: Graph Drawing and Network Visualization GD 2017
by Fabrizio Frati 27 Apr '17

27 Apr '17

=========================================================================== 2nd 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/GD2017-CFP.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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Call for Participation: IEEE VAST Challenge 2017
by Whiting, Mark A 27 Apr '17

27 Apr '17

Announcing the IEEE VAST Challenge 2017 - Available Now! http://vacommunity.org/VAST+Challenge+2017 Submission deadline is July 16, 2017 at 11:59 pm Pacific Daylight Time (UTC/GMT -9 hours). The IEEE Visual Analytics Science and Technology (VAST) Challenge is an annual contest with the goal of advancing the field of visual analytics through competition. The VAST Challenge is designed to help researchers understand how their software would be used in a novel analytic task and determine how their data transformations, visualizations, and interactions would support users. VAST Challenge problems provide researchers with realistic tasks and data sets for evaluating their software, as well as an opportunity to advance the field by solving more complex problems. This year's VAST Challenge concerns a sad state of affairs in a nature preserve, possibly involving the nearby community and local businesses. There are three mini-challenges and a grand challenge to exercise your visual analytics prowess. Overview Mistford is a mid-size city is located to the southwest of a large nature preserve. The city has a small industrial area with four light-manufacturing endeavors. Mitch Vogel is a post-doc student studying ornithology at Mistford College and has been discovering signs that the number of nesting pairs of the Rose-Crested Blue Pipit, a popular local bird due to its attractive plumage and pleasant songs, is decreasing! The decrease is sufficiently significant that the Pangera Ornithology Conservation Society is sponsoring Mitch to undertake additional studies to identify the possible reasons. Mitch is gaining access to several datasets that may help him in his work, and he has asked you (and your colleagues) as experts in visual analytics to help him analyze these datasets. Mini-Challenge 1 The Boonsong Lekagul Nature Preserve is used by local residents and tourists for day-trips, overnight camping or sometimes just passing through to access main thoroughfares on the opposite sides of the preserve. While hiking through the various parts of the preserve, Mitch has noticed some odd behaviors of vehicles that he doesn't think are consistent with the kinds of park visitors he would expect. If there were some way that Mitch could analyze the behaviors of vehicles through the park over time, this may assist him in his investigations. Mini-Challenge 2 The four factories in the industrial area are subjected to higher-than-usual environmental assessment, due to their proximity to both the city and the preserve. Gaseous effluent data from several sampling stations has been collected over several months, along with meteorological data (wind speed and direction), that could help Mitch understand what impact these factories may be having on the Rose-Crested Blue Pipit. These factories are supposed to be quite compliant with recent years' environmental regulations, but Mitch has his doubts that the actual data has been closely reviewed. Could visual analytics help him understand the real situation? Mini-Challenge 3 As Mitch works independently, he realizes that he cannot continually visit all areas of the preserve to inspect for environmental impacts as well as he would like to. He realizes that his analysis would be incomplete without thorough surveillance and knowledge of the preserve health over time. Fortunately, Mitch has acquired data from some multi-spectral imagers that have been routinely covering the nature preserve every few months. Mitch believes that a visual analytics approach can help him achieve an understanding of the preserve health and alert him to possible conditions that may be impacting his birds. Grand Challenge Mitch realizes that explorations into each of these three areas (covered by the mini-challenges) will reveal important, enlightening information. However, could there be relationships among discoveries made across two or even all of the investigations that could reveal even more about what is happening across the nature preserve and how it is happening. Mitch remembers that you mentioned to him how important it is to analyze not only what is happening, but the entire range of "who-what-where-why-when- and -how". This understanding will enable him to pursue positive steps in helping to save the Rose-Crested Blue Pipit. Important Information about the VAST Challenge Participants are welcome to enter one, two, or all three of the Mini-Challenges. Participants who complete all three mini-challenges may also enter the Grand Challenge. Entries may be submitted by teams or individuals. Submission deadline is July 16, 2017 at 11:59 pm Pacific Daylight Time (UTC/GMT -9 hours). Entries will be judged based on the criteria appropriate to the specific Mini-Challenge/Grand Challenge. Selected award winners will be asked to present their submission at the VAST Challenge Workshop on Oct 1, 2017, during the IEEE VIS 2017 conference. Award winning participants will be contacted by August 11, 2017. All Challenge participants are invited to submit a two-page summary of their entry for inclusion in the IEEE VIS 2017 electronic conference proceedings. These papers will be due August 15. All participants will also allowed to present a poster at the conference showcasing their work. For questions, please email vast-challenge(a)ieeevis.org<mailto:vast-challenge@ieeevis.org>. VAST Challenge Committee Chairs Kris Cook, Pacific Northwest National Laboratory Georges Grinstein, University of Massachusetts Mark Whiting, Pacific Northwest National Laboratory http://vacommunity.org/VAST+Challenge+2017 IEEE VIS 2017 http://ieeevis.org/ 1-6 October 2017 Phoenix, Arizona USA

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Deadline Extension (May 15, 2017): Visual Analytics in Healthcare Workshop at IEEE VIS 2017
by Visual Analytics Healthcare 26 Apr '17

26 Apr '17

CALL FOR PAPERS, POSTERS, AND DEMONSTRATIONS: Workshop on Visual Analytics in Healthcare (VAHC) (In conjunction with IEEE VIS 2017, Oct 1st, 2017, Phoenix, Arizona) Website: www.visualanalyticshealthcare.org *** Paper Submissions due May 15th, 2017 (Extended by two weeks!) *** CALL FOR PAPERS: ---------------- The 2017 Workshop on Visual Analytics in Healthcare (VAHC 2017) is the eighth annual workshop that provides an opportunity for participants to discuss state-of-the-art data visualization techniques and review how such techniques can be applied to healthcare data. The primary objective of the annual workshop is to bring together medical experts, leading scientists, and visionaries to discuss visualization techniques that can be applied to healthcare data and discuss the areas of healthcare that need more attention from the visualization and visual data mining communities. The workshop will allow participants to showcase their ongoing work on visual analytics of healthcare-related data through podium, posters, or demo presentations as well as to learn more about emerging techniques, software applications, and datasets. In years past, demos of prototype and/or production visual analytics software have been particularly well received, and paper submitters should also consider submitting a companion demo proposal. During the last seven years the Workshop on Visual Analytics in Healthcare (VAHC) has been organized and hosted annually. The VAHC workshop has been hosted four times at the IEEE VIS conference (2010, 2011, 2012, and 2015) and three times at the AMIA Annual Symposium (2013, 2014, and 2016). This year the VAHC 2017 workshop is held in conjunction with the IEEE VIS conference in Phoenix, Arizona. For information about all previous VAHC events and to access the open-access proceedings from each of the previous workshops, please see http://www.visualanalyticshealthcare.org. TOPICS AND SCOPE: ------------------ We will welcome discussions of the use of visual approaches, interaction design, statistical methods, and machine learning for healthcare data analysis. Participants may address the needs of a variety of users, including clinical researchers, epidemiologists, public health analysts, pharmaco-vigilance experts, physicians, hospital-based quality assurance officers, insurance claim analysts, and patients. Topics of interests include but are not limited to: * Visualization of Public Health Data * Visualization of patient-generated health data * Design principles of Dashboards for Public Health Surveillance programs * Visual analysis and exploration of longitudinal clinical data * Visual data mining of EMRs * Visualization of prescriptions drug-drug interactions * Improving hospital and operating room (OR) workflow with visual analytics * Outcome forecasting or prediction * Visual analytics for patient safety * Pandemic forecasting and tracking * Visual analytics in radiology * Visual analytics in the emergency department (ED) * Improving patient understanding and/or physician-patient communication with visual analytics * Visual Analytics as a means for knowledge discovery * Human Computer Interaction of EHRs PAPER SUBMISSION AND FORMAT GUIDELINES: --------------------------------------- We encourage a diverse range of submissions and demonstrations from academic, healthcare organizations, and industry that addresses any of the topics listed above. Submissions can be for (1) paper / podium presentations, (2) poster presentations, or (3) live & interactive demonstrations. - Paper: Papers are limited to eight pages. Accepted papers will be published on the IEEE Xplore digital library and the USB proceedings drive of the IEEE VIS conference. - Poster: Poster abstract submissions are limited to two pages. Accepted posters will be included in the USB proceedings drive of the IEEE VIS conference. - Demo: Demonstration abstract submissions are limited to two pages. Accepted demonstration abstracts will be included in the USB proceedings drive of the IEEE VIS conference. All material should be submitted via the Precision Conference System (PCS). Contact vahc.sig at gmail.com if you have any questions. IMPORTANT DATES: ---------------- Deadline for submission: May 15th, 2017 Notification of acceptance: Jun 19th, 2017 † Camera-ready papers due: July 6th, 2017 VAHC 2017 workshop: October 1st or Oct 2nd, 2017 (to be determined by VIS 2017) JOIN OUR MAILING LIST: ---------------------- Visit www.visualanalyticshealthcare.org to join our mailing list. NEWS: ----- Proceedings of the 2016 Workshop on Visual Analytics in Healthcare (VAHC 2016) are now available at http://www.visualanalyticshealthcare.org/proceedings.html ORGANIZERS: ---------------- Jurgen Bernard - Darmstadt University of Technology, Germany (juergen.bernard at gris.tu-darmstadt.de) Jesus J Caban - NICoE, Walter Reed National Military Medical Center Theresia Gschwandtner - Vienna University of Technology (gschwandtner at cvast.tuwien.ac.at) Jeremy Warner - Vanderbilt University and the Vanderbilt-Ingram Cancer Center, Nashville, TN (USA)

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Call for papers: VISSOFT 2017: 5th IEEE Working Conference on Software Visualization
by Cong Chen 25 Apr '17

25 Apr '17

-== Call for Papers ==- Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools. VISSOFT topics of interest include: * Innovative visualization and visual analytics techniques for analysis of software engineering data. This includes source code, dependencies, repositories, developer social networks like StackOverflow and GitHub, mobile app reviews, documentation, runtime logs, and DevOps data. * Visualization to support software development activities, including design, requirements engineering, program comprehension, software testing, and debugging. * Interaction techniques and algorithms for software visualization * Visualization-based techniques in software engineering education * Integration of software visualization tools with development environments * Empirical evaluation of software visualizations * Industrial experience with using software visualization * Applications of new technologies to enhance software visualization, including virtual reality, augmented reality, gamification, and machine learning. We solicit papers that present original, unpublished research results. Papers will be rigorously reviewed by an international program committee. In addition to technical papers, VISSOFT features a New Ideas or Emerging Results (NIER) track and a Tools track. All accepted submissions will appear in the conference proceedings and the IEEE Digital Library. -== Technical papers ==- A technical paper contribution must describe an in-depth and mature research result relevant to software visualization. The content of a technical paper can be at a maximum 10 pages long (including all figures, tables, and appendices). However, the 10 page limit does not include the bibliography, which is not limited in length. The submission of a video (up to 5 minutes in length) to accompany the paper is highly encouraged to show interaction possibilities. Authors who wish to submit a video should provide a URL to the video. Authors will be given the opportunity to provide a response to reviewer requests for clarifications before a final decision is made. Important Dates: Abstract submission date: May 2, 2017 Paper submission date: May 9, 2017 Author response period: May 29 - June 2, 2017 Notification: June 9, 2017 Submission link: https://easychair.org/conferences/?conf=vissoft2017 Awards: A Mate 9 smartphone will be awarded to a distinguished technical paper, sponsored by Huawei. Special issue: We plan to invite a selection of the technical papers accepted at VISSOFT 2017 to submit an extended version to a journal. -== Artifacts ==- Traditionally, technical research papers are published without including any artifacts (such as tools, data, models, videos, etc.), even though the artifacts may serve as crucial and detailed evidence for the quality of the results that the associated paper offers. Following the effort initiated at ESEC/FSE’11, authors of accepted technical papers at VISSOFT 2017 can have their artifacts evaluated by the program committee. Positively evaluated artifacts will be reflected in the paper publication, presentation, and be formally announced during the conference. More information about the artifact evaluation process may be found on http://www.artifact-eval.org. Important Dates: Artifact submission: June 25, 2017 Artifact notification: July 15, 2017 Submission link: https://easychair.org/conferences/?conf=vissoft2017 -== NIER and Tool papers==- We accept two types of paper submissions: NIER contributions (New Ideas and Emerging Results) and Tool contributions. The NIER contributions describe work-in-progress and preliminary exciting results. Authors should include open questions and even provocative hypotheses to get early feedback on their research ideas or even support through new research collaborations. NIER papers have to be maximum 5 pages long (including bibliography). Tool contributions describe the design or actual utilization of software visualization tools, with a focus on relevant tool construction aspects or the use of the tool for gaining new insights. Authors should be prepared to demonstrate their tool at the conference. The submission may also contain a link to a screencast (e.g., YouTube video). Tools papers have to be maximum 5 pages long (including bibliography). Important Dates: Paper submission date: June 23, 2017 Notification: July 24, 2017 Submission link: https://easychair.org/conferences/?conf=vissoft2017 -== Organizing Committee ==- General Chair: Kang Zhang, The University of Texas at Dallas, USA http://www.utdallas.edu/~kzhang/ Program Co-Chairs: Ivan Beschastnikh, University of British Columbia, Canada https://www.cs.ubc.ca/~bestchai/ Andrea Mocci, Università della Svizzera italiana, Switzerland http://www.inf.usi.ch/postdoc/mocci/ Publicity Co-Chairs: Cong Chen, Fujitsu Laboratories of America, USA http://www.fujitsu.com/us/about/businesspolicy/tech/rd/research-staff/cong-… Bin Lin, Università della Svizzera italiana, Switzerland http://www.inf.usi.ch/phd/lin/ NIER/Tool Co-Chairs: Bonita Sharif, Youngstown State University, USA http://www.csis.ysu.edu/~bsharif/ Olga Baysal, Carleton University, Canada http://olgabaysal.com Artifact Evaluation Co-Chairs: Anne Etien, École Polytechnique Universitaire de Lille, France http://www.lifl.fr/~etien/ Omar Benomar, Yellow Pages / Pages Jaunes and Université de Montréal, Canada http://www-ens.iro.umontreal.ca/~benomaro/ Most Influential Paper Award Chairs: Stephan Diehl, University of Trier, Germany https://www.uni-trier.de/index.php?id=52170 Malcolm Munro, Durham University, UK http://community.dur.ac.uk/malcolm.munro/ For updates, visit http://vissoft.info follow Facebook: https://www.facebook.com/ieeevissoft/ Twitter: @IEEEVISSOFT -- Best wishes, Carl (Cong) Chen VISSOFT 2017 publicity co-chair CongChenUTD(a)Gmail.com

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Survey: Values in Visualization Work
by Jaime Snyder 22 Apr '17

22 Apr '17

Values in Visualization Work URL: http://bit.ly/2p9sER4 Building on recent conversations in the visualization community, including the survey by Meeks et al., this questionnaire will help us better understand the work practices and values of people who create visualizations and visualization systems. Responses will enable us to characterize motivations, priorities, and standards of folks within the visualization community. This survey should take about 20 minutes to complete. It begins by asking you for basic information about yourself, your training, and your background. Next, we ask you to reflect on what is most important to you when you are doing visualization work. All questions are optional, though we ask you to try to answer each of them as best you can. At the conclusion of the survey, you can sign up for a chance to win a $50 Amazon gift card (1 for every 100 participants). This work is being conducted by researchers at the University of Washington. If you have questions or comments, please contact Jaime Snyder (jas1208(a)uw.edu<mailto:jas1208@uw.edu>, @jay_ess). Thanks! ————————————————— Jaime Snyder Assistant Professor, Information School Adjunct Assistant Professor, Human Centered Design and Engineering University of Washington jas1208(a)uw.edu<mailto:jas1208@uw.edu> 206-616-1094

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VISSOFT'17 Paper submission extended to May 9th
by Andrea Mocci 22 Apr '17

22 Apr '17

The deadlines for the research track 5th IEEE Working Conference on Software Visualization (VISSOFT 2017) have been extended as follows: Abstract submission date: May 2, 2017 (extended) Paper submission date: May 9, 2017 (extended) Details/CfP below. VISSOFT 2017: 5th IEEE Working Conference on Software Visualization http://vissoft17.dcc.uchile.cl/ September 18 - 19, 2017, Shanghai, China Co-located with ICSME 2017: http://icsme2017.github.io Facebook: https://www.facebook.com/ieeevissoft/ Twitter: @IEEEVISSOFT -== Call for Papers ==- Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. The VISSOFT conference is principally a venue for publishing and discussing research related to software visualization. VISSOFT brings together a community of researchers from software engineering, information visualization, computer graphics, and human-computer interaction to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. This year’s VISSOFT, co-held with ICSME, encourages a variety of submissions that address outstanding challenges in software systems using visualization. This includes technical papers, empirical studies, applications, case studies, and papers that present novel ideas and tools. VISSOFT topics of interest include: * Innovative visualization and visual analytics techniques for analysis of software engineering data. This includes source code, dependencies, repositories, developer social networks like StackOverflow and GitHub, mobile app reviews, documentation, runtime logs, and DevOps data. * Visualization to support software development activities, including design, requirements engineering, program comprehension, software testing, and debugging. * Interaction techniques and algorithms for software visualization * Visualization-based techniques in software engineering education * Integration of software visualization tools with development environments * Empirical evaluation of software visualizations * Industrial experience with using software visualization * Applications of new technologies to enhance software visualization, including virtual reality, augmented reality, gamification, and machine learning. We solicit papers that present original, unpublished research results. Papers will be rigorously reviewed by an international program committee. In addition to technical papers, VISSOFT features a New Ideas or Emerging Results (NIER) track and a Tools track. All accepted submissions will appear in the conference proceedings and the IEEE Digital Library. -== Technical papers ==- A technical paper contribution must describe an in-depth and mature research result relevant to software visualization. The content of a technical paper can be at a maximum 10 pages long (including all figures, tables, and appendices). However, the 10 page limit does not include the bibliography, which is not limited in length. The submission of a video (up to 5 minutes in length) to accompany the paper is highly encouraged to show interaction possibilities. Authors who wish to submit a video should provide a URL to the video. Authors will be given the opportunity to provide a response to reviewer requests for clarifications before a final decision is made. Important Dates: Abstract submission date: May 2, 2017 (extended) Paper submission date: May 9, 2017 (extended) Author response period: May 29 - June 2, 2017 Notification: June 9, 2017 Submission link: https://easychair.org/conferences/?conf=vissoft2017 Awards: A Mate 9 smartphone will be awarded to a distinguished technical paper, sponsored by Huawei. Special issue: This year’s VISSOFT will organize a special issue with the Journal of Software: Evolution and Process (JSEP). Top papers accepted to the conference will be invited for an extension that is then submitted for review with JSEP. -== Artifacts ==- Traditionally, technical research papers are published without including any artifacts (such as tools, data, models, videos, etc.), even though the artifacts may serve as crucial and detailed evidence for the quality of the results that the associated paper offers. Following the effort initiated at ESEC/FSE’11, authors of accepted technical papers at VISSOFT 2017 can have their artifacts evaluated by the program committee. Positively evaluated artifacts will be reflected in the paper publication, presentation, and be formally announced during the conference. More information about the artifact evaluation process may be found on http://www.artifact-eval.org. Important Dates: Artifact submission: June 25, 2017 Artifact notification: July 15, 2017 Submission link: https://easychair.org/conferences/?conf=vissoft2017 -== NIER and Tool papers==- We accept two types of paper submissions: NIER contributions (New Ideas and Emerging Results) and Tool contributions. The NIER contributions describe work-in-progress and preliminary exciting results. Authors should include open questions and even provocative hypotheses to get early feedback on their research ideas or even support through new research collaborations. NIER papers have to be maximum 5 pages long (including bibliography). Tool contributions describe the design or actual utilization of software visualization tools, with a focus on relevant tool construction aspects or the use of the tool for gaining new insights. Authors should be prepared to demonstrate their tool at the conference. The submission may also contain a link to a screencast (e.g., YouTube video). Tools papers have to be maximum 5 pages long (including bibliography). Important Dates: Paper submission date: June 23, 2017 Notification: July 24, 2017 Submission link: https://easychair.org/conferences/?conf=vissoft2017 -== Organizing Committee ==- General Chair: Kang Zhang, The University of Texas at Dallas, USA http://www.utdallas.edu/~kzhang/ Program Co-Chairs: Ivan Beschastnikh, University of British Columbia, Canada https://www.cs.ubc.ca/~bestchai/ Andrea Mocci, Università della Svizzera italiana, Switzerland http://www.inf.usi.ch/postdoc/mocci/ NIER/Tool Co-Chairs: Bonita Sharif, Youngstown State University, USA http://www.csis.ysu.edu/~bsharif/ Olga Baysal, Carleton University, Canada http://olgabaysal.com Artifact Evaluation Co-Chairs: Anne Etien, École Polytechnique Universitaire de Lille, France http://www.lifl.fr/~etien/ Omar Benomar, Yellow Pages / Pages Jaunes and Université de Montréal, Canada http://www-ens.iro.umontreal.ca/~benomaro/ Most Influential Paper Award Chairs Prof. Stephan Diehl, University of Trier, Germany https://www.uni-trier.de/index.php?id=52170 Prof. Malcolm Munro, Durham University, UK http://community.dur.ac.uk/malcolm.munro/ For updates, visit http://vissoft.info follow * Facebook: https://www.facebook.com/ieeevissoft/ * Twitter: @IEEEVISSOFT Best regards, Ivan Beschastnikh and Andrea Mocci Program Co-Chairs

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