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26.WSCG conference - Call for Papers (includes GraVisMa & HCI-Europe confs.)
by Vaclav Skala 03 Dec '17

03 Dec '17

Call for Papers and Conferences Announcement (WSCG 2018, GraVisMa 2018, HCI-Europe 2018) ------------------------------------------------------------- >>> WSCG 2018 (held annually since 1992) >>> 26. Int. Conf. on Computer Graphics, Visualization and Computer Vision 2018 >>> http://www.wscg.eu – main page of WSCG >>> http://www.wscg.cz – WSCG 2018 page When: May 28 – June 1, 2018 Where: Primavera Congress Center, Pilsen (the City of Beer), close to Prague, Czech Republic (approx. 70 mins. from the Prague Airport by public transport) Includes special workshop (common for WSCG and GraVisMa): Radial Basis Function: Theory and Application in Physical Sciences and Mathematics Computational (ODE, PDE, interpolation, approximation, graphics, vision, visualization etc.) > Proposals for workshops and special session are welcomed. --------------------------- Satellite conferences: ------------------------ > GraVisMa 2018 > 5. Conference on Computer Graphics, Computer Vision and Mathematics Computational > http://www.GraVisMa.eu > HCI-Europe 2018 > 3. Conference on Human Computer Interaction 2018 > https://www.hci-europe.eu Important dates (for all events) --------------------- Submission: January 30, 2018 Acceptance decision: March 30, 2018 Final version due: May 10, 2018 Proceedings will be published in Computer Science Research Notes (ISSN 2464-4617). The best selected papers will be published in The Journal of WSCG (ISSN 1213-6972). Recent publications available via http://wscg.zcu.cz/DL/wscg_DL.htm - repository since 1992. Organizer & Chair --------------------- prof. Vaclav Skala, c/o University of West Bohemia, Faculty of Applied Sciences, Dept. of Computer Science and Engineering, Univerzitni 8 CZ 30614 Plzen, Czech Republic http://www.VaclavSkala.eu Announcement sent via: infovis(a)infovis.org --- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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CFP: Workshop on Exploratory Search and Interactive Data Analytics (ESIDA)
by Fernando Vieira Paulovich 01 Dec '17

01 Dec '17

Workshop on Exploratory Search and Interactive Data Analytics (ESIDA) Tokyo, Japan, March 11, 2018 Hosted by IUI 2018, March 7-11, 2018 https://sites.google.com/view/esida2018 Important dates: Submission deadline: December 17, 2017 (midnight Hawaii time) Acceptance notification: January 23, 2018 Final manuscript due: February 6, 2018 Workshop Topic and Description In recent years, retrieval techniques operating on text or semantic annotations, have become the industry standard for retrieval from large data collections, such as documents, images, videos, music, medical data. This approach works well with sufficient high-quality meta-data or tagging. However, with the explosive growth of big data collections, it has become apparent that tagging new data quickly and efficiently is not always possible. Secondly, even if instantaneous high-quality data tagging were possible, there would still be many instances, where search by keyword query is problematic. For example, in the case of image retrieval it might be easier for a user to define their query if they are looking for an image of a cat, but how would they specify that the cat should be of a particular shade of ginger with sad looking eyes? A solution to these problems is active engagement of the user in the information retrieval loop, thus enabling the user to not only explore a given dataset more easily but also gradually direct their search to a more specific area of the search space. The aim of this workshop is to explore new methods and interface/system design for interactive data analytics and management in various domains, including specialised text collections (e.g. legal, medical, scientific), multimedia, and bioinformatics, as well as for various tasks, such as semantic information retrieval, conceptual organization and clustering of data collections for sense-making, semantic expert profiling, and document/multimedia recommender systems. The primary audience of the workshop is researchers and practitioners in the area of interactive and personalized system design as well as interactive machine learning both from academia and industry. IUI, with its focus on the intersection of HCI and AI, is a perfect venue where researchers from system/interface design community and the machine learning community can meet. Workshop Target Areas The workshop aims to solicit submissions in all areas of interactive data analytics and exploratory search including: - design, testing and assessment of interactive systems for data analytics - interactive data visualization for exploratory and investigative analysis - interactive classification and clustering of data - user-assisted curation and validation of the analysis process, and generation of data visualizations - user engagement in the semantic analysis process via suitable annotation and correction tools - study of the trade-off between accuracy of the results and user effort - personalization and user modeling related to interactive system design Submissions aimed at solving practical problems in specific application domains are especially welcome, including: - digital libraries - legal document management - personalized online learning systems - news media - biomedical data - multimedia collections - specialized image and video collections, e.g. medical images. We encourage submissions of work in progress, concept papers, case studies, and generally material that will stimulate discussion, generate useful feedback to the authors, encourage research collaborations and vigorous exchange of ideas on promising research directions, in one of the following formats: - full papers (up to 8 pages in the ACM SIGCHI format), which will be presented either as contributed talks or posters - extended abstracts (up to 4 pages in the ACM SIGCHI format), which will be presented as posters with a possibility to be accompanied by a demo. Submission information Submissions to the workshop will be through EasyChair, https://www.easychair.org/conferences/?conf=esida2018 The accepted workshop papers will be published in a joint workshop proceedings volume published by CEUR-WS. Workshop date: March 11, 2018 Workshop location: Hitotsubashi Hall (National Center of Sciences Building) located in central Tokyo - http://iui.acm.org/2018/attending.html Keynotes: - Giulio Jacucci, University of Helsinki, Finland - Shlomo Berkovsky, CSIRO, Australia Organizers: Dorota Glowacka, School of Informatics, University of Edinburgh, dorota.glowacka(a)ed.ac.uk Evangelos Milios, Faculty of Computer Science, Dalhousie University, eem(a)cs.dal.ca Axel J. Soto, School of Computer Science, University of Manchester, axel.soto(a)manchester.ac.uk Fernando V. Paulovich, Faculty of Computer Science, Dalhousie University, paulovich(a)dal.ca Denis Parra, Department of Computer Science, Pontificia Universidad Católica de Chile, dparra(a)ing.puc.cl Program Committee (to be updated/confirmed): Maria Cristina Ferreira de Oliveira (University of Sao Paulo, Brazil) Koji Koyamada (University of Tokyo, Japan) Abang Xu (IBM Almaden, USA) Remco Chang (Tufts University, USA) Tobias Schreck (TU Graz, Austria) Jaegul Choo (Korea University) John O’Donovan (UCSB, USA) Nava Tintarev (TU Delft, the Netherlands) Isabel Meirelles (OCADU, Toronto, Canada) Patrik Floreen (University of Helsinki, Finland) Giulio Jacucci (University of Helsinki, Finland) Alan Medlar (University of Helsinki, Finland) Torsten Moller (University of Vienna, Austria) Eduardo Veas (University of Cuyo, Argentina; Know-Center, Austria)

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Seeking a new PhD student
by John Stasko 29 Nov '17

29 Nov '17

We are seeking a new PhD student for the Fall of 2018 working on the Natural Visualization project, supported by the U.S. NSF. The project will explore multimodal interaction (speech, touch, etc.) with data visualizations. Qualified candidates should have course and project experience in Human-Computer Interaction and be competent developers in web systems programming and D3. An ideal candidate also will have interest and experience in designing and developing multimodal interaction applications. To learn more, please see https://www.cc.gatech.edu/gvu/ii/seekphd.html for further details about the position and links to the application process pages. The application deadline for full consideration is December 15. John Stasko School of Interactive Computing Georgia Tech http://www.cc.gatech.edu/~john.stasko/">http://www.cc.gatech.edu/~john.stasko/

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PhD, MS, and MFA positions in data visualization / large scale data management at Northeastern University in Boston, MA, USA
by Dunne, Cody 29 Nov '17

29 Nov '17

PhD, MS, and MFA positions in data visualization / large scale data management: Northeastern University in Boston, MA, USA =========================================================== Northeastern University's College of Computer and Information Science (CCIS) has a growing research focus in data science, in particular **data visualization** and **large scale data management**. The **DATA Lab** focuses on research problems in data management, data mining and machine learning with particular emphasis on scalability of algorithms to large data. The **Visualization Lab** focuses on understanding human perception and cognition, as well as designing visualization and interaction techniques for exploring complex data. Our growing labs have **eight open and funded PhD positions** focused on data storytelling; analytic provenance; tree and graph/network visualization; scalable approaches for managing uncertain, inconsistent, distributed and network data; cybersecurity and defense geospatial network visualization; visualization for healthcare; multidimensional data visualization; and visualization perception and cognition. We have a rich tradition of working on meaningful problems in collaboration with civic, business, and global partners. Our warm, supportive community of researchers eagerly seeks women and minority students to promote diversity. We are part of a strong team of 63 CCIS faculty with several related groups in areas such as network science, personal health informatics, cybersecurity, information retrieval, probabilistic AI, applied data science, distributed machine learning, NLP, and theory. The college is expanding rapidly and is now highly ranked among top computer science schools in terms of publications at selective venues. Students interested in graduate studies at Northeastern on data science and visualization have several degree programs to choose from: PhD: https://www.ccis.northeastern.edu/academics/phd/ - PhD in Computer Science (due Dec. 15) - PhD in Network Science (due Jan. 1) - PhD in Personal Health Informatics (due Jan. 20) - PhD in Information Assurance (due Feb. 15) MS: https://www.ccis.northeastern.edu/academics/masters/ - MS in Computer Science (due May 1) - MS in Data Science (due May 1) MFA: https://camd.northeastern.edu/artdesign/academic-programs/mfa-in-informatio… - MFA in Information Design and Visualization (due Feb. 1) PhD students who are making acceptable progress are guaranteed at least five years of full funding. Spring PhD admission is available for exceptional students. If you are interested in working at the DATA or Visualization Lab, please visit our websites to learn more: - https://visualization.ccis.northeastern.edu/research-opportunities/ - https://db.ccis.northeastern.edu/research-opportunities/ Please post or share our recruiting fliers with interested students: Visualization Lab flyer (PDF): https://bit.ly/CCIS-vis-flyer Data Lab Flyer (PDF): https://bit.ly/CCIS-data-flyer Thank you, Cody Dunne Wolfgang Gatterbauer Michelle Borkin Mirek Riedewald

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PhD studentship in Information Visualization at Newcastle University - Extended deadline 20th Dec
by Sara Fernstad 29 Nov '17

29 Nov '17

Good afternoon everyone! We are advertising a fully funded PhD studentship (covering UK/EU tuition fees + stipend) in Visualization of Heterogeneous Multi-source Data at Newcastle University, UK. Within the project you will develop and implement state-of-the-art visualization methods to support analysis of diverse multi-source data. The project can be adapted based on the interests of the student and may focus on one or several areas of relevance, including for instance: * Visual representation of heterogeneous data (numerical, categorical, text, networks…) * Visual representation of correlation and other relationships across multiple heterogeneous datasets * Visual integration and coordination of data at different levels of detail * Visual representation and analysis of the uncertainty generated through the combination of diverse data from different sources * Visual analysis of diverse data on small display devices. Further detail on the project and how to apply is available here: http://www.ncl.ac.uk/postgraduate/funding/sources/ukeustudents/cs063.html The deadline for applications has been extended to 20th of December. This studentship will give you the opportunity to work as part of a dynamic research group with a broad focus on Data Science. The School of Computing was ranked #1 in the UK for research impact in REF 2014. It hosts the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data as well as the National Innovation Centre for Data (http://www.ncl.ac.uk/press/news/2017/09/newnationalinnovationcenter/ ), and will be joining the Alan Turing Institute for data science (http://www.ncl.ac.uk/press/news/2017/11/turing/ ). For questions about the studentship, please contact: sara.fernstad(a)newcastle.ac.uk Kind regards, Sara _____________________________________________ Sara Johansson Fernstad, PhD Lecturer in Visualization School of Computing Newcastle University Urban Sciences Building 1 Science Square Newcastle-upon-Tyne NE4 5TG Office: 4.042 E-mail: sara.fernstad(a)newcastle.ac.uk<mailto:sara.fernstad@newcastle.ac.uk> URL: http://www.ncl.ac.uk/computing/people/profile/sarafernstad

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Post-Doctoral Research Associate in Data-Driven Video Stories
by Jonathan Hook 23 Nov '17

23 Nov '17

** Post-Doctoral Research Associate in Data-Driven Video Stories ** - Digital Creativity Labs, University of York, UK - Application deadline: 03/12/2017 - Find out more and apply: https://goo.gl/q953tx <https://goo.gl/q953tx> We seek an outstanding interdisciplinary researcher for a 1-year fixed term position as a Research Associate on the ‘Perspective Media: Personalized Video Storytelling for Data Engagement’ project. The project is situated in York’s Digital Creativity (DC) Labs (http://www.digitalcreativity.ac.uk <http://www.digitalcreativity.ac.uk/>), an impact-driven research centre that explores and develops new forms of digital creativity and interactive media experience. The post is funded by the EPSRC and is a collaborative project between the University of York, BBC R&D, The Open Data Institute, The Digital Catapult, City of York Council and BAFTA-winning immersive media producer Catherine Allen. The Perspective Media project investigates how personalized, interactive video stories (e.g. based on interactive documentary techniques or object-based media) can provide more accessible, informative and pleasurable ways for the public to engage with the increasing amounts of data that exist about them in modern society. As the successful candidate, you will be at the forefront of developments that exploit the power of storytelling for engagement and literacy with data, and the potential of data analytics to reveal new opportunities for storytelling. You will conduct user-centered research with media production partners, data providers and audience members to investigate: cutting-edge techniques for presenting data in personalised video stories and novel processes and tools for making interactive video content that is adaptive to viewer data. As the successful candidate, you will have a PhD and record of high-quality publications in Human-computer Interaction or a related field (e.g. Interaction Design, User-experience, Interactive Data Visualization, Interactive/Digital Media, Media Arts Technology, Computer Science), or equivalent experience. You will have the ability to apply user-centered research methods (e.g. workshops, observations, interviews) in the design, development and evaluation of human-computer interfaces or interactive media experiences. You will have the front-end software development skills needed to turn ideas into functional prototypes so that they can be evaluated with end users, preferably using web technologies (e.g. HTML5 and Javascript). You will also have: experience of conducting high-quality individual and collaborative research projects; excellent written and verbal communication skills, including experience of presenting at conferences and engaging with non-academic audiences; the ability to work to tight deadlines in an interdisciplinary team including industry and other external partners; and flexibility to travel to partner sites in the UK for a small number of short research visits and to international conferences to disseminate results. Candidates with previous knowledge and experience of either interactive video/media experiences or techniques for engaging non-experts with data would be especially welcomed, but this is not essential. ** Further Details of the Project and Role ** The project’s methodology will be focussed around the iterative and user-centered design and development of prototype Perspective Media content with project partners and other stakeholders. These prototypes will range in fidelity from low-fi mock-ups created in initial design workshops to a final functional prototype that will be deployed and evaluated with a sizable public audience via the BBC’s high-profile Taster platform. You will work closely with the PI to lead the creation and evaluation of these prototypes, employing your user-research and organizational skills to facilitate and coordinate collaborative contributions from partners and stakeholders with expertize in media production and data provision, and a team of two film production interns under your supervision. You will also employ your front-end software development skills in the technical implementation of prototypes, working in close collaboration with other researchers and software engineers in the DC Labs who are developing back-end technologies for interactive video. This full-time post is available for 12 months from the 1st February 2018, or as soon as practical after this date. The appointment will be made at Grade 6 and the salary will be in the range £31,604 - £38,832 a year. For information and enquiries please contact Dr Jonathan Hook on jonathan.hook(a)york.ac.uk <mailto:jonathan.hook@york.ac.uk> Download the candidate brief and apply here: https://goo.gl/q953tx <https://goo.gl/q953tx> Jonathan Hook Lecturer in Interactive Media Department of Theatre, Film and Television University of York, Baird Lane, YO10 5GB +44 (0)1904 325238 www.jonhook.co.uk <http://www.jonhook.co.uk/>

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CFP: Special issue on human centric visual analytics
by Tony Huang 17 Nov '17

17 Nov '17

[Apologies for multiple copies] Special issue on human centric visual analytics: Journal of Behaviour & Information Technology (2016 Impact Factor: 1.388) Currently, many visual analytics products and tools have been developed. However, in developing those tools and products, much attention has been paid on mining data patterns and making the hidden information visible to users. Relatively less attention has been paid on how this information should be presented for sense making decision making. This imbalance between human and computer has resulted in the lack of theories and guidelines for system design and evaluation and prevented systems and tools from being more useful in practice. To foster an incentive to address the issue and improve the situation, this specie issue targets on new visualization theories, novel design principles, analytics techniques and evaluation methodologies that are to address issues surrounding human-centric visual analytics. The primary objective is to foster focused attention in this emerging area and to serve as forum for researchers and professionals all over the world to exchange and discuss the latest advances. To be precise, the aim of this special issue is to present a collection of high-quality research papers on the state-of-the-art in the emerging area of human-centric visual analytics. We are soliciting original contributions that have not been published and are not currently under review by any other journals or conferences. Papers to be submitted to this special issue must focus on the human side of visual analytics. All submitted papers will be peer-reviewed and papers will be selected based on their quality and relevance to the theme of this special issue. Topics considered for this special issue include, but are not limited to, the following: • Visual perception and cognition • Design principle and guidelines for human-centric visual analytics • New evaluation methodologies and metrics • New visualization and visual analytics theories. • Adaption and refinement of existing theories and principles from HCI and Psychology in human–centric visual analytics • Novel human-data interfaces, frameworks, reference models, architectures, tools and systems • New human-data, human-computer and human-human interaction methods in the context of visual analytics • Human, social and cultural factors in collaborative visual analytics Schedule: Paper submission deadline: April 30, 2018 Review notification: June 30, 2018 Revised paper submission: August 30, 2018 Final notification: October 30, 2018 Publication: Late 2018 For more details, please see: http://explore.tandfonline.com/cfp/est/jmj02888-tbit-si-human-centric-visua… Guest editors: Dr. Weidong Huang, Swinburne University of Technology, Australia. Professor Yuhua Luo, University of the Balearic Islands, Spain. Professor Brian Fisher, Simon Fraser University, Canada Professor Remco Chang, Tufts University, USA

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Call for Papers: Diagrams 2018 (Deadline Extension)
by Atsushi Shimojima 16 Nov '17

16 Nov '17

**************************************************************************** Due to requests, we have taken the decision to extend the deadlines for abstract and paper submissions. **************************************************************************** Call for Papers: Diagrams 2018 10th International Conference on the Theory and Application of Diagrams http://www.diagrams-conference.org/2018/ Conference dates: 18th - 22nd June 2018 Location: Edinburgh, UK NEW DEADLINES: - All submission categories: pre-submission of title and 200 word descriptive abstract due 30th November 2017. - All submission categories: full versions due 7th December 2017 Co-located event: International Conference on Conceptual Structures 2018 http://blogs.napier.ac.uk/iccs/ **************************************************************************** Diagrams 2018 is the tenth conference in the biennial series that started in 2000. The multidisciplinary nature of Diagrams means it encompasses: architecture, art, artificial intelligence, biology, cartography, cognitive science, computer science, education, graphic design, history of science, human-computer interaction, linguistics, logic, mathematics, philosophy, psychology, and software modelling. The conference attracts a large number of researchers from these interrelated fields, positioning Diagrams as the major international event in the area. Diagrams 2018 will be hosted by Edinburgh Napier University in the UK. The conference venue is located within a short distance of the UNESCO World Heritage designated-centre of Edinburgh. This makes the venue an ideal location for delegates to explore the vibrant city, famous for its castle, culture, and history. **************************************************************************** Calls Diagrams 2018 has various calls, providing a range of opportunities for taking part in the conference. Diagrams solicits research contributions falling within the scope of the conference, to be submitted to one of three tracks: Main track http://www.diagrams-conference.org/2018/home/cfp/116-2/ Psychology of Diagrams track http://www.diagrams-conference.org/2018/home/cfp/psych/ Philosophy of Diagrams track http://www.diagrams-conference.org/2018/home/cfp/phil/ In addition, Diagrams seeks to host Workshops and Tutorials: http://www.diagrams-conference.org/2018/home/cfp/workshops/ http://www.diagrams-conference.org/2018/home/cfp/tutorials/ ************************************ For more information, please visit the website of the conference: http://www.diagrams-conference.org/2018/

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Fully funded PhD studentship in Visualization, Newcastle University, UK
by Sara J Fernstad 16 Nov '17

16 Nov '17

Dear everyone, We are advertising a fully funded PhD studentship with focus on Interactive Visualization of Heterogeneous Multi-Source Data at Newcastle University, UK. One of the most challenging and important tasks in data science today is to extract informative and valuable knowledge from the constantly increasing data deluge. There is a great need of efficient and usable analysis tools that support gaining of insight and address data analysis challenges. Data visualization utilize methods from HCI, computer graphics, data mining and other data science areas to support knowledge generation and bridge the gap between data and user. A major challenge in big data analysis is the integrative analysis of heterogeneous data that is gathered from multiple sources. These data may be of different types, collected at different levels of detail and from different application domains; and it is expected that the integrative analysis across datasets may lead to greater insight. Such data is common in areas such as climate and weather research, combining for instance temperature data, pollution levels and demographical data, or bio-medical domains where data as diverse as genome sequences and environmental data may need to be combined. Within this project you will develop and implement state-of-the-art visualization methods to support analysis of diverse multi-source data. The project may focus on one or several areas of relevance, including for instance: - Visual representation of heterogeneous data (numerical, categorical, text, networks…) - Visual representation of correlation and other relationships across multiple heterogeneous datasets - Visual integration and coordination of data at different levels of detail - Visual representation and analysis of the uncertainty generated through the combination of diverse data from different sources - Visual analysis of diverse data on small display devices. Further detail and information on how to apply is available at: http://www.ncl.ac.uk/postgraduate/funding/sources/ukeustudents/cs063.html Please note that the application deadline is 23 Nov. For more information, please contact Dr Sara Johansson Fernstad: sara.fernstad(a)ncl.ac.uk _____________________________________________ Sara Johansson Fernstad, PhD Lecturer in Visualization School of Computing Newcastle University Urban Sciences Building 1 Science Square Newcastle-upon-Tyne NE4 5TG Office: 4.042 E-mail: sara.fernstad(a)newcastle.ac.uk URL: http://www.ncl.ac.uk/computing/people/profile/sarafernstad

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Multiple faculty positions in data analytics at Virginia Tech
by Chris North 16 Nov '17

16 Nov '17

Colleagues- Attached is the official announcement for Data Analytics faculty positions in Computer Science at Virginia Tech, including data visualization and visual analytics. Additional positions are posted at: http://www.cs.vt.edu/FacultySearch <http://www.cs.vt.edu/FacultySearch> -Chris Discovery Analytics Center: https://dac.cs.vt.edu <https://dac.cs.vt.edu/> Center for Human-Computer Interaction: http://www.hci.vt.edu <http://www.hci.vt.edu/>

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