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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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CFP: 2017 IEEE VIS Workshop on Visual Analytics for Deep Learning
by Jaegul Choo 31 May '17

31 May '17

CFP: VADL: 2017 IEEE VIS Workshop on Visual Analytics for Deep Learning Arizona, Phoenix, 1 or 2 October 2017 https://vadl2017.github.io/ Recently, deep neural networks have been achieving breakthroughs in various major artificial intelligence tasks such as machine translation, image understanding, speech recognition, and so on. In these tasks, deep neural networks reached the level of an accuracy comparable to or even better than humans’ performance. However, understanding the deep neural networks is challenging due to their complicated inner workings. VADL, the workshop on visual analytics for deep learning, is a half-day workshop held in conjunction with IEEE VIS 2017 in Phoenix, AZ. The primary goal of the workshop is to bridge the gap by bringing together researchers from both machine learning and visual analytics fields, which allows us to push the boundary of deep learning. The workshop should provide an opportunity to discuss and explore ways to harmonize the power of automated techniques and exploratory nature of interactive visualization. Topics of Interest: In this call, we look for papers related to visual analytics for deep learning. Topics of interest include, but are not limited to: - User-adaptive approaches to deep neural networks - Coupling of deep learning-based systems with interactive visualization - Visualization to improve deep learning algorithms and models - Coordinated visualizations for deep learning - Systems, languages, and architectures for interactive deep learning - Collaborative analysis of deep network networks - Real-time visualization of streaming data handling in deep learning - Visualization of uncertainty in deep neural networks - Domain-specific applications of visual analysis of deep neural networks (e.g. retail, healthcare, government, etc.) - Studies and evaluation of deep learning visualization techniques, systems, metrics, and benchmarks Submission Information: All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, including (but not limited to): - Novel research papers - Demo papers - Work-in-progress papers - Visionary papers (white papers) - Position papers - Relevant work that has been previously published - Work that will be presented at the main conference of IEEE VIS’17 Authors should clearly indicate in their abstracts the kinds of submissions, to help reviewers better understand their contributions. Submissions must be in PDF, written in English, no more than 10 pages long — shorter papers such as 2 to 4 pages are welcome — and formatted using the IEEE “Conference Style” template. The accepted papers will be posted on the workshop website and will be included in the IEEE VIS’17 electronic proceedings USB stick. For accepted papers, at least one author must attend the workshop to present the work. Important Dates: - Submission: July 21, 2017 - Author notification: August 4, 2017 - Camera-ready: August 18, 2015 - Workshop date: October 1 or 2

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Postdoctoral Fellow - Augmented Reality for Decision Support
by Matt.Adcock＠csiro.au 31 May '17

31 May '17

Postdoctoral Fellow - Augmented Reality for Decision Support * Are you a highly motivated PhD graduate? * Do you have a passion for developing novel interactive Augmented Reality (AR) applications? * This is a great opportunity to have substantial impact in Aquaculture and Agriculture! Future Science Platforms (FSPs) are a major new CSIRO initiative. FSPs are multi-year investments in frontier science that will reinvent and create new industries for Australia. Digiscape is the FSP that is creating next-generation decision tools to transform the agriculture and land management sector. To achieve this aim, Digiscape is bringing to bear cutting edge climate science; new sources of locally and remotely sensed data; informatics for agro-ecosystems; rigorous analysis of uncertainties; and innovation in both the ICT and social dimensions of systems integration. The successful candidate will join a cohort of early-career researchers and engineers who will combine their individual disciplinary contributions into mission-focussed R&D. Part of the Digiscape vision is that Augmented Reality technologies (such as Microsoft HoloLens) will play a key role in supporting individual and team decision making, both in the field and in the office. In the aquaculture domain these tools will assist operators on the ground and/or in the office to visualise pond conditions and access short-term pond predictions across multiple ponds. They will be a primary method for accessing the data management and modelling frameworks developed in related projects. Your success in this role will be underpinned by your record of science innovation and creativity, plus your ability and willingness to incorporate novel ideas and approaches into scientific investigations. The successful applicant will implement and evaluate prototype systems, while making use of the Advanced Augmented Reality and Virtual Reality (VR) facilities in the Data61 Immersive Environments Lab in Canberra. To be considered you will have (or expect to imminently complete) a PhD in Computer Science, Engineering or a directly related field. You will have experience conducting research in interactive 3D graphics and/or computer vision in Virtual Reality, Augmented Reality and/or Web3D. You will also have the ability to work effectively as part of a multi-disciplinary, regionally dispersed research team and carry out tasks autonomously. To view the full position details and selection criteria for this role please go to www.jobs.csiro.au and search for reference number 29563 Location: Canberra, ACT Salary: $78K - $88K p.a. plus up to 15.4% superannuation Professional Development Budget: Yes Tenure: 3 year term Reference: 29563 How to Apply: Please upload one document containing your CV/resume and cover letter. Please ensure you provide enough information relevant to the selection criteria for this position (as described in the Position Details Document) to enable the assessment panel to determine your suitability. Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO) As Australia's national science agency, we've been pushing the edge of what's possible for almost 90 years. Today we have thousands of talented people working across Australia and internationally. Our people work closely with industry and communities to leave a lasting legacy. Collectively, our innovation and excellence places us in the top ten applied research agencies in the world. Applications will remain open until filled, however we encourage you to submit your application before 12 June 2017 as we will interview suitable candidates from that date onwards.

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Postdoctoral Fellowship with Sheelagh Carpendale and Wesley Willett in Interactions lab at University of Calgary
by Soren Knudsen 29 May '17

29 May '17

The Interactions Lab in the Department of Computer Science in the Faculty of Science at the University of Calgary is accepting applications for a Postdoctoral Fellow in Information Visualization Design. Job Description: The Innovations in Visualization (led by Sheelagh Carpendale) and the Data Experience (led by Wesley Willett) labs are looking for a Post Doctoral Fellow in Information Visualization, Design, and/or Interaction Design. The project is an open data initiative that is focused on developing advanced, interactive data visualizations that will help make Canada's energy data publically accessible, transparent and understandable. The successful candidate will be deeply involved in the research in the lab, working closely with domain experts and stakeholders, creating new design ideas, developing new visual representations, fine tuning designs, and creating prototypes and communicating these designs to relevant team members. They will also be involved in mentoring students who are working on the project. The successful candidate's work will include participating in various outreach activities - including designing and running workshops and providing formal and informal demonstrations to appropriate stakeholders. The successful candidate's work will focus explicitly on designing novel interactive visualizations and interaction techniques and will include opportunities to publish that work at visualization venues. Qualifications: PhD or equivalent degree in Computer Science, Informatics, Design, or a related field. A background in information visualization and with extensive experience designing and developing interactive visualizations is important. This position will also call upon the candidate's ability to understand and apply data analysis approaches in a broad range of domains. We are interested in candidates with an ability to bridge the gap between scientific endeavors and real-world applications, producing results with high external validity. Experience designing and conducting both qualitative and quantitative studies are also strongly preferred. Application details: Please apply by email to Claudia Maurer, claudia.maurer(a)ucalgary.ca<mailto:claudia.maurer@ucalgary.ca> Please send your CV, a short cover letter and the names of two people who can serve as references. Sheelagh Carpendale, http://innovis.cpsc.ucalgary.ca/ Wesley Willett, http://dataexperience.cpsc.ucalgary.ca/

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Postdoc in Graph Drawing and related areas at Roma Tre University
by Fabrizio Frati 25 May '17

25 May '17

Expressions of interest are invited for a postdoc position in graph drawing and related areas at the graph drawing research group led by Prof. Giuseppe Di Battista at the Department of Engineering at Roma Tre University. The research group includes Fabrizio Frati, Maurizio Patrignani, and Maurizio Pizzonia as permanent members, together with several postdocs and PhD students. The postdoc position is funded by the PRIN (Research Projects of National Interest) Project "MODE" - Morphing graph drawings efficiently. The ideal candidate for the position should have a PhD in Mathematics or Computer Science and should have a background in algorithms, theoretical computer science and/or discrete mathematics, preferably with an interest in graph drawing, graph theory, and/or combinatorial geometry. Should any candidate be considered fit for the postdoc position, a call for applications will be opened. The postdoc appointment is to begin at any time during 2017 (or early 2018), the sooner the better. The position is for one year, renewable for a second year. The position is full-time and research-only. The position is open to candidates of any nationality; in particular, no knowledge of Italian is required. The gross salary is 27K, which will result in ~1650 net per month. Travel funding will be available. The reply to this call should consist of an email, sent to frati(a)dia.uniroma3.it, containing: (1) a curriculum vitae, including a list of publications; and (2) the names and contact details of at least two references. Expressions of interest should be sent no later than the 15th of July, 2017.

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*** VizSec 2017 Call for Papers ***
by Nicolas Prigent 23 May '17

23 May '17

*** VizSec 2017 Call for Papers *** http://vizsec.org/ The 14th IEEE Symposium on Visualization for Cyber Security (VizSec) brings together researchers and practitioners from academia, government, and industry to address the needs of the cyber security community through new and insightful visualization and analysis techniques. VizSec provides an excellent venue for fostering greater exchange and new collaborations on a broad range of security- and privacy-related topics. VizSec will be held in Phoenix, AZ, USA in conjunction with IEEE VIS, on Monday, October 2nd 2017. VizSec explores effective and scalable visual interfaces for security domains such as network security, computer forensics, reverse engineering, insider threat detection, cryptography, privacy, user assisted attacks prevention, compliance management, wireless security, secure coding, and penetration testing. ** Technical Papers ** Full papers describing novel contributions in security visualization are solicited. Papers may present techniques, applications, theory, analysis, experiments, or evaluations. We encourage the submission of papers on technologies and methods that improve cyber security practices, including, but not limited to: - Situation awareness and/or understanding - Incident handling including triage, exploration, correlation, and response - Computer forensics - Recording and reporting results of investigations - Assisting proactive security configuration and deployment - Reverse engineering and malware analysis - Vulnerability management - Multiple data source analysis - Analyzing information requirements for computer network defense - Evaluation and/or user testing of VizSec systems - Criteria for assessing the effectiveness of cyber security visualizations - Modeling system and network behavior - Modeling attacker and defender behavior - Studying risk and impact of cyber attacks - Predicting future attacks or targets - Security metrics and education - Software security - Mobile application security - Social networking privacy and security When applicable, visualization and interaction techniques that effectively capture the insights of human analysts and/or allow analysts to collaborate efficiently are particularly desirable. Submissions including tests and evaluations of existing tools and techniques are also considered particularly desirable. If possible, making the data used for the tests available will also be considered positively. If you do not have real-world data to demonstrate your visualization, you may be interested in looking at the VizSec Data Sets page http://vizsec.org/data/. ** Short Papers ** Short papers describing practical applications of security visualization are solicited. We encourage the submission of papers discussing the introduction of cyber security visualizations into operational context, including, but not limited to: - Cases where visualization made positive contributions towards meeting operational needs - Gaps or negative outcomes from visualization deployments - Situations where visualization was not utilized, but could have had a positive impact - Lessons learned from operational engagements - Insights gained from the transition process Cyber security practitioners from industry, as well as the research community, are encouraged to submit short papers. ** Posters ** Poster submissions may showcase late-breaking results, work in progress, preliminary results, or visual representations relevant to the VizSec community. The poster program will be a great opportunity for the authors to interact with the attendees and solicit feedback. Accepted poster abstracts will be made available on the VizSec website. ** Submissions ** The VizSec 2017 proceedings will be published by IEEE. Submissions must be formatted using the IEEE "Conference Style" template that can be found at: http://junctionpublishing.org/vgtc/Tasks/camera.html All submissions must be in PDF format. To submit your paper or poster abstract, login or create an account at: https://precisionconference.com/~vizsec17 After logging in, click the "new submissions" link on the top navigation bar and look for the link for "Submit to VizSec 2017" in the list under the "VIS 2017" heading. * Papers * Papers should be at most 8 pages including the bibliography and appendices. Papers will be peer-reviewed by at least 3 members of the program committee. Committee members are not required to read the appendices or any pages past the maximum. Submissions not meeting these guidelines will be rejected without consideration of their merit. Reviews are single-blind, so authors may include names and affiliations in their submissions. Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. The VizSec proceedings will be published by IEEE. Authors of accepted papers must guarantee that their papers will be presented at the conference. * Short Papers * Short papers should be at most 4 pages including the bibliography and appendices. Short paper submissions will be reviewed by the Paper Chair(s) and other members of the organizing committee to determine relevance to the VizSec community. Accepted short paper authors will have time to present their work at VizSec during the program. * Posters * Extended abstract should be at most 2 pages including the bibliography. Poster abstracts will be reviewed by the Poster Chair(s) and other members of the organizing committee to determine relevance to the VizSec community. Accepted authors must present a corresponding poster during the workshop. The poster authors can determine the layout by themselves, but the dimensions of the posters should not exceed the A0 space (841mmx1189mm or 33.1"x46.8"). Additionally, poster authors are requested to give a brief oral preview during a plenary "fast forward" session. Accepted poster abstracts will be made available on this website. ** Important Dates ** All deadlines are 5:00 PM PST. * Papers and Short Papers * July 18, 2017: Submission for Papers and Short Papers August 15, 2017: Author Notification for Papers and Short Papers September 12, 2017: Camera Ready Submission and Copyright Forms for Papers * Posters * August 29, 2017: Abstract Submission for Posters September 9, 2017: Author Notification for Posters

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CFP: VISSOFT 2017 - The 5th IEEE Working Conference on Software Visualization
by Cong Chen 22 May '17

22 May '17

** NIER and Tool track deadline is June 23, 2017 ** VISSOFT 2017: 5th IEEE Working Conference on Software Visualization -== 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: May 2, 2017 Paper Submission: May 9, 2017 Author Response Period: May 29 - June 2, 2017 Author 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 CongChenUTD(a)Gmail.com

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PhD Position in Visual Analytics for Engineering Smarter Systems, Växjö, Sweden
by Andreas Kerren 17 May '17

17 May '17

Apologies for cross-posting! Application deadline is very soon: JUNE 1, 2017! ==== PHD STUDENT IN COMPUTER SCIENCE WITH SPECIALIZATION IN VISUAL ANALYTICS ==== placed at Linnaeus University, Department of Computer Science, Faculty of Technology – Växjö Campus, Sweden Application deadline: June 1, 2017 ****Description**** The focus of this advertised PhD position and the corresponding research project is on visual analytics for engineering smarter system. The research will be performed within the Linnaeus University Center on Data Intensive Sciences and Applications, DISA, funded by Linnaeus University for five years. Overall aim of this DISA subproject is to better understand and engineer complex cyber-physical systems. We will develop foundational visual analytics principles, techniques and tools for analyzing data and models in those systems. Thus, trust into the analysis results will be finally increased by making the analysis methods and resulting empirical models transparent for end users. In consequence, our users will be enabled to better predict the behavior of cyber-physical systems and to reconstruct the underlying models more efficiently when needed. Duties consist mainly of the following: • Graduate studies in the field of Visual Analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks). • Research in the field Visual Analytics. The position is part of DISA and its subproject Visual Analytics for Engineering Smarter Systems. • Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals. • Close collaboration with the other project members in an interdisciplinary research environment as well as with domain experts. • At most 20% of the working time will be dedicated to teaching and other departmental tasks. Note that a PhD position in Sweden is a salaried employment with the right to social benefits and paid vacations. ****Qualifications**** Qualification requirements A person fulfils the general entry requirements. if he/she has comprised a completed undergraduate program of at least 240 credits, including 60 credits at advanced level, or the equivalent knowledge in Sweden or abroad. Specific requirements are • approved courses of a minimum of 90 credits in the subject Computer and Information Science or the equivalent, and • an individual study project of a minimum of 15 credits in the subject Computer and Information Science, or the equivalent. Others The specific prerequisites for admission to PhD studies within the above-mentioned specialization are • a successfully finished Master’s thesis in a field related to Information Visualization, Visual Analytics, Human-Computer Interaction, or Data Sciences; and • high proficiency in written and spoken English. ****Assessment criteria**** Excellent knowledge in the focused research areas of information visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Documented expertise and working experience within at least one of the following research and educational areas is a great advantage: • Visual analytics of Big Data • Visual analytics of streaming data • Multidimensional visualization techniques in combination with machine learning and/or data mining techniques (such as dimensionality reduction) • Evaluation of visualizations • Experiences in specific application domains and their visualization needs related to the DISA subproject, such as in systems engineering Because of the interdisciplinary character of the project and DISA, the candidate should be an enthusiastic person who is interested in making sense of large and complex data sets of various types as well as capable of working both independently and within a group. Teamwork experiences should be documented in the application. Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to a successful development of the research environment. ****How to apply**** Interested candidates find detailed application information including contact details on the following web page https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=j… Online applications (reference number: 2017/2251-2.2.1) will be received until June 1, 2017. The application must include a cover letter (with a motivation why the candidate wants to pursue this PhD project in visual analytics), a resume and the contact information of two referees. In addition, a link to the candidate’s Master’s thesis should be provided. ****Further information**** The advertised position will be physically placed in the ISOVIS Research Group led by Professor Andreas Kerren who is a member and key researcher of DISA. The ISOVIS group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies. Linnaeus University, Sweden, has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization. -- +------------------------------------------------------- + Prof. Dr. Andreas Kerren + + Linnaeus University + Department of Computer Science + Vejdes Plats 7, Room B3019 + SE-351 95 Växjö, Sweden + + Phone: +46 470 767502 + Fax: +46 470 84004 + Email: andreas.kerren(a)lnu.se + WWW: http://homepage.lnu.se/staff/akemsi/ + WWW: http://cs.lnu.se/isovis/ +-------------------------------------------------------

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CDVE2017 call for poster papers
by cdve .org 09 May '17

09 May '17

*CDVE2017 call for poster papers - The 14th International Conference on Cooperative Design, Visualization and Engineering* Sept. 17-20, 2017, Mallorca, Spain – www.cdve.org CDVE2017 call for poster papers is now open. You are welcome to submit a poster paper to the conference. You can submit the abstract of your poster paper the Easychair system. *Where to submit*: http://www.easychair.org/conferences/?conf=cdve2017 *How to submit*: See http://www.cdve.org/submit.html *Paper topics*: See http://www.cdve.org/cfpaper.html Abstract submission: May 30, 2017 Notification of acceptance of abstract: June 15, 2017 Final poster file submission and Registration for authors: July 31, 2017 Please feel free to forward this cfp. Mallorca is the home of the conference, a famous European vacation resort. We look forward to seeing you in Mallorca, Spain! -- The 14th International Conference on Cooperative Design, Visualization and Engineering Sept. 17-20, 2016, Mallorca, Spain Email: cdve2017(a)easychair.org Web: http://www.cdve.org

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