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Open Positions in Visual Analytics: PhD and PostDoc at TU Wien [DL: January 26, 2018]
by Miksch Silvia 28 Dec '17

28 Dec '17

Dear colleagues, The Visual Analytics Group (CVAST) at TU Wien is looking for - a *PhD student* and - a *PostDoc* in *Model Building and Visual Analytics*, with a focus on (dynamic) network analyses and visualization, visual process mining, temporal uncertainty, data quality, and time-oriented data. More details are here: http://www.cvast.tuwien.ac.at/node/808 The research is embedded in the research cluster on "Smart Communities and Technologies" at TU Wien and offers a great opportunity for high-quality Visual Analytics research with the perspective on interdisciplinary research. Applications are due January 26, 2018. Would you be so kind to distribute this job offer amongst your scientific colleagues and potential candidates? Thanks, Silvia Miksch ================================================================ Silvia Miksch, Univ.-Prof. Ph.D. MSc. Vienna University of Technology (TU Wien) Faculty of Informatics Institute of Software Technology and Interactive Systems Favoritenstrasse 9-11 / 188-1 A-1040 Vienna, Austria, Europe email: miksch(a)ifs.tuwien.ac.at url: http://www.ifs.tuwien.ac.at/~silvia phone: +43-1-58801-18824 phone-sec: +43-1-58801-18801 fax: +43-1-58801-18899 =================================================================

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[EuroVA2018] CFP: EuroVA 2018 - EuroVis Workshop on Visual Analytics in Brno, Czech Republic
by Organizers EuroVA 21 Dec '17

21 Dec '17

EuroVA 2018 Workshop http://www.eurova.org EuroVA 2018 is the ninth international EuroVis Workshop on Visual Analytics. It will take place on Monday, June 4, 2018 in Brno, Czech Republic. Visual Analytics is a problem-solving and sense-making technology that integrates analytical computations, visual representations, and interaction. It includes the analysis of complex (massive, dynamic, ambiguous, conflicting, …) data and information for gaining understanding, building knowledge, and inferring insight. Visual Analytics aims at a synergistic collaboration of humans and computers mediated through interactive visual interfaces. As such, Visual Analytics is an interdisciplinary field of research, including aspects of visualization, human-computer interaction, statistics and mathematics, data management and knowledge representation, data analysis and machine learning, cognitive and perceptual sciences, and more. EuroVA 2018 is the best place to present and discuss ideas of new methods and theories, interesting applications, designs, and studies of the use of Visual Analytics methods and systems. The workshop will accept a range of paper types, including technique, system, application, evaluation and theory papers in the area of Visual Analytics. Call for Submissions The workshop seeks to attract innovative, fresh and creative ideas with a high potential of becoming significant contributions to the Visual Analytics community. We welcome research papers that introduce new Visual Analytics concepts, methods, or techniques, application papers that describe success stories of Visual Analytics in practice, and position papers expressing novel and potentially controversial viewpoints on Visual Analytics. Topics The workshop covers a broad range of topics in the area of Visual Analytics: - Visual representations of complex data - Interaction techniques for data analysis - Computational methods to support analysis tasks - Theoretical foundations of Visual Analytics - Cognitive and perceptual aspects - Infrastructures and architectures for Visual Analytics - Data management, data provenance, and data uncertainty - Evaluation of Visual Analytics - Visual Analytics applications Hot Topics We especially encourage submissions reporting late-breaking results in the upstream topics: - Sports Visual Analytics - Progressive Visual Analytics - Immersive Visual Analytics - Big Data Analytics - Visual Analytics and deep learning - Decision making and analytical workflows using Visual Analytics - Visual Analytics of streaming data Important Dates - Submission: February 23, 2018 - Notification: March 23, 2018 - Camera-ready: April 20, 2018 - Workshop: June 4, 2018 (New this year: EuroVA will be only on Monday!) Submission Guidelines Papers, 4 pages in length + 1 extra page for references (maximum) must be prepared using the EuroVA LaTeX template, which can be downloaded here: egPublStyle-EuroVA2018 <http://www.eurova.org/wp-content/uploads/egPublStyle-EuroVA2018.zip> Papers are to be submitted via the new PCS at: https://new.precisionconference.com/eurova18a/ At least one author of an accepted paper must register and participate in the workshop to present the accepted work. The EuroVA 2018 Workshop Proceedings will be published by the Eurographics Association <https://www.eg.org/>, and be stored on the Eurographics Digital Library <https://diglib.eg.org/handle/10.2312/982>. OrganizersProgram chairs Christian Tominski, University of Rostock Tatiana von Landesberger, Technische Universität Darmstadt Publicity chair Michael Behrisch, Harvard University Links News: http://www.eurova.org/ EuroVA 2018: http://www.eurova.org/eurova-2018

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CFP: Genetic Programming, Evolutionary Computation and Visualization (deadline EXTENDED: 22 January 2018)
by Nadia Boukhelifa 21 Dec '17

21 Dec '17

Extended Deadline: 22 January 2018 ** CFP: Special Issue on Genetic Programming, Evolutionary Computation and Visualization ** Recent advances in Genetic Programming / Evolutionary Computation (GP/EC) and visualization have shown a growing synergy between these fields. On the one hand, visualization can make GP/EC algorithms more transparent, through interactive parameter tuning and the graphical representation of experimental analyses [3,5]. On the other hand, GP/EC techniques can be deployed to efficiently guide user search in exploratory visualization systems [1,2,4]. This special issue aims to bring together latest work and new advances in Genetic Programming / Evolutionary Computation (GP/EC) and Visualization (including its three subfields: information visualization, scientific visualization, and visual analytics), to produce new insights on: - how to develop better visualization tools to support GP/EC, and - how to develop robust GP/EC algorithms to support visualization applications. Scope -------- We invite submissions on any aspect of Genetic Programming and Evolutionary Computation (GP/EC) linked to visualization (information visualization, scientific visualization or visual analytics), or visualization applied to GP/EC, including, but not limited to: theoretical results, algorithmic design, evaluations and user studies, surveys, and interesting new applications (e.g. in life sciences, art, and engineering). Suggested topics include, but are not limited to: * Interactive evolution systems * GP/EC applied to visual design * Use of GP/EC in visual analytics or progressive visualization * Review of visualization techniques in GP/EC * Review of GP/EC techniques in visualization * Visualization techniques to explain GP/EC to end users * Visual analysis of GP/EC algorithms * Evaluation of (interactive) evolutionary systems * Visualization of results of experimental analysis of GP/EC algorithms * Interactive parameter tuning of GP/EC * Visualization of the search space and the fitness landscape * Techniques to avoid user fatigue in interactive GP/EC * Human factors in GP/EC Important Dates ----------------------- GPEM Special Issue Submission Deadline: 15 December 2017 22 January 2018 First Reviews: March 2018 Post Review Submission Deadline: April 2018 Acceptance Notification: June 2018 Camera-ready Paper Deadline: July 2018 Paper Submission -------------------------- Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. Manuscripts should be submitted to: http://GENP.edmgr.com <http://genp.edmgr.com/>. Choose “Genetic Programming, Evolutionary Computation and Visualization” as the article type when submitting. Manuscripts should conform to the standard format stipulated in Genetic Programming and Evolvable Machines’ Information for Authors. All submissions will be peer reviewed subject to the standards of the journal. All inquiries should be sent to: nadia.boukhelifa(a)inra.fr <mailto:nadia.boukhelifa@inra.fr> Guest Editors -------------------- Nadia Boukhelifa, INRA, Versailles-Grignon, France [nadia.boukhelifa(a)inra.fr <mailto:nadia.boukhelifa@inra.fr>] Evelyne Lutton, INRA, Versailles-Grignon, France [evelyne.lutton(a)inra.fr <mailto:evelyne.lutton@inra.fr>] References ----------------- [1] N. Boukhelifa, A. Bezerianos, W. Cancino, and E. Lutton. 2017. Evolutionary visual exploration: evaluation of an IEC framework for guided visual search. Evol. Comput. 25, 1 (March 2017), 55-86. DOI: https://doi.org/10.1162/EVCO_a_00161 <https://doi.org/10.1162/EVCO_a_00161> [2] N. Boukhelifa, A. Bezerianos, and E. Lutton. A mixed approach for the evaluation of a guided exploratory visualization system. 2015. EuroVis workshop on reproducibility, verification, and validation in visualization, EuroRV3. [3] E. Lutton, and J-D Fekete. Visual analytics of EA data. 2011. Genetic and Evolutionary Computation Conference, GECCO. [4] W. Cancino, N. Boukhelifa, and E. Lutton. EvoGraphDice: Interactive evolution for visual analytics. 2012. IEEE Congress on Evolutionary Computation, 1-8. [5] T. Collins. Visualizing evolutionary computation. Advances in evolutionary computing, Ashish Ghosh and Shigeyoshi Tsutsui (Eds.). 2003. Springer-Verlag New York, Inc, 95-116.

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CFP 1st Workshop on Context in Analytics @ IEEE ICDE'18, Paris, France (Deadline 1/12/2018)=========================================================== Call for Papers 1st Workshop on Context in Analytics (CiA) IEEE ICDE'18 - International Conference on Data Engineering Paris, France, April 16-20th 2018 =========================================================== ** Note new dates for submissions ** As the role of computers in decision-making expands in business, education, health care, law, and gov
by Eser Kandogan 15 Dec '17

15 Dec '17

=========================================================== Call for Papers 1st Workshop on Context in Analytics (CiA) IEEE ICDE'18 - International Conference on Data Engineering Paris, France, April 16-20th 2018 =========================================================== As the role of computers in decision-making expands in business, education, health care, law, and government, big data and analytics community needs to pay specific attention to context. Studying, representing, incorporating, exploiting and explaining context in analytics has the potential to provide significant value and address major challenges. The 1st Workshop on Context in Analytics (CiA) encourages participation from a broad spectrum of communities to explore the role of context in big data and analytics, as we collectively try to address questions such as: What is the right model of context? What should context capture? What is the architecture of context services? How to address data integration when bringing in context from various systems? Can context provide value without violating privacy? What are the right user experience and interaction models for interaction with context? How should context be governed? Topics ------ Original unpublished contributions are sought in areas including but not limited to: -Contextual user experience design -Context in machine learning -Contextual Personalized Search -Collaborative contextual analytics -Privacy and context -Context in visual analytics -Context models and querying -Context services and architectures -Context in provenance•Recommender systems and context -Data governance with Context Important Dates: --------------- Jan 12th, 2018: Paper Submission Feb 9th, 2018: Papers Notification Mary Roth, IBM Research Amol Deshpande, U of Maryland Eser Kandogan, IBM Research For more information please visit https://umddb.github.io/contextanalytics2018/ ==============================================================

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CFP: Creative Residency at NCSU Libraries
by Mike Nutt 13 Dec '17

13 Dec '17

We have a creative residency call for proposals open (below) to develop visual content (a) for large video wall(s) the James B. Hunt Jr. Library in Raleigh, NC. You might consider applying or be able to distribute it to anyone who might be interested. We're particularly trying to court local applicants, but that is not a deal breaker. The goal of the residency includes making open source scholarly content that can be distributed to other libraries, museums, and learning spaces. VR/AR content would be within scope for this, but we'd be looking for approaches that could generate content for that could work on our video walls as well as in HMDs. Thanks for your help. Mike -- Mike Nutt Director of Visualization Services Digital Library Initiatives, NCSU Libraries 919.513.0651 <(919)%20513-0651> https://immersivescholar.org @ImmersivScholar <https://twitter.com/ImmersivScholar> ### Visualizing Digital Scholarship in Libraries and Learning SpacesCreative Residency Call for ProposalsOverview *Application Deadline*: 8:00am EST, January 3rd, 2018 *Duration*: 4-6 weeks *Start date*: Flexible, February through August, 2018 *Stipend*: $20,000 *URL*: https://immersivescholar.org/creative-residency-call The NCSU Libraries invites proposals from artists, scholars, and creative technologists for a four-to-six-week residency to create immersive scholarly visual content for one or more of the large-scale digital walls <https://www.lib.ncsu.edu/videowalls> in the award-winning James B. Hunt Jr. Library at NC State University in Raleigh. The residency is sponsored by the Andrew W. Mellon-funded Visualizing Digital Scholarship in Libraries and Learning Spaces grant (“Immersive Scholar”), and is part of the NCSU Code+Art program. Residents are encouraged to interrogate the intersections of data, knowledge, and culture through visual expression. This residency offers an opportunity for the selected project to influence the way that people look at the university’s role in supporting data visualization and digital art, similar to the manner that the Hunt Library has started to change the way that people think about academic libraries in the 21st century. Libraries have long been places where people have explored new ways of interacting with information and data. The NCSU Libraries’ Code+Art program <http://www.lib.ncsu.edu/projects/codeart> continues this tradition by bringing an aesthetic eye to the increasing role of data in our lives by combining creative and computational thinking in a library’s physical spaces. Code+Art provides the lens that focuses this residency program. Program Details The resident will produce a large-scale work of digital art or visualization. Creations could include generative art or dynamic, data-driven visualizations of high aesthetic quality. The data underlying the piece may or may not be literally interpretable, depending on the resident’s scholarly approach. To generate broader impact and a larger audience, the work will: - Be open source - Follow principles of responsive design - Follow principles of universal design - Be documented using principles of literate computing - Be broadly distributed to other libraries and learning spaces with similar visualization facilities Additionally, the work should be scholarly output that is citable and impactful. NCSU Libraries staff and collaborators will explore with the resident innovative approaches to peer review, sharing, and credit for the work created during the residency. The work will be displayed on one or more of the Hunt Library’s large video walls: - Art Wall <https://www.lib.ncsu.edu/spaces/artwall> - the screen that welcomes visitors to the Library - iPearl Immersion Theater <https://www.lib.ncsu.edu/spaces/ipearl-immersion-theater> - the Library’s premier storytelling venue - Commons Wall <https://www.lib.ncsu.edu/spaces/commons-wall> - in the heart of the Library’s learning spaces - Visualization Wall <https://www.lib.ncsu.edu/spaces/visualization-wall> - a unique shape that symbolizes the Library’s blend of physical and digital space Please see our Video Wall Guide <https://github.com/NCSU-Libraries/visualization_templates/blob/master/Displ…> for technical specifications of the walls. Additionally, the resident will have access to the Libraries’ full suite of spaces for creation and making <https://www.lib.ncsu.edu/spaces?s=1#/Make%20&%20Create/all/all/>. The resident must have sufficient knowledge required to produce the work described in their application for this residency. Experience in open web technologies is strongly preferred, but other technologies could be considered if the requirements for open source and broad distribution can be met. To further support the resident, the library will hire a student worker to assist the resident with content production. The resident can specify the student’s title and skill set. If additional technology skills are needed beyond what the student employee can provide, the residency stipend may be used to hire technical help. The residency includes a stipend of $20,000 that can be used to cover housing, travel, and other expenses incurred by the project. Women and historically underrepresented communities are especially encouraged to apply. Support and Community Engagement The resident will work closely with NCSU Libraries staff, who will facilitate engagement with the NC State community and the broader scholarly community. Libraries staff have expertise in visualization <http://www.lib.ncsu.edu/do/visualization>, making <http://www.lib.ncsu.edu/services/makerspace>, data management <http://www.lib.ncsu.edu/do/data-management>, and other areas of research support <http://www.lib.ncsu.edu/services/researcher-support>, and will be available to the resident for consultation. The resident will be expected to engage with the NC State community through a talk and/or workshop, to be determined and facilitated with Libraries staff. NC State University <https://www.ncsu.edu/about/> is a pre-eminent research enterprise that excels in science, technology, engineering, math, design, the humanities and social sciences, textiles, and veterinary medicine. Collaborations with NC State researchers and students will grow from the vision and needs of the resident, and can be facilitated by Libraries staff, who maintain deep relationships with the campus community. This residency is funded as part of a larger, “Immersive Scholar” grant. Immersive Scholar is a three-year effort funded by the Andrew W. Mellon Foundation to develop extensible models and programs for the creation and sharing of digital scholarship in large-scale and immersive visualization environments. The resident, therefore, will be part of a larger, national network of participating institutions <https://immersivescholar.org/news/announcing-our-partners> and advisors <https://immersivescholar.org/advisory-panel>. Work completed under this residency must be designed to be open source and will be shared to the grant’s participating cohort <https://www.lib.ncsu.edu/news/ncsu-libraries-chooses-cohort-for-large-scale…> for display at their respective institutions. Eligibility Requirements - Participants within commuting distance will be preferred for this first of three residencies - Must be eligible to work in the U.S. - Must not be a currently enrolled student Application - Statement of interest (500 words or less) - Narrative of proposed work (500 words or less) - Description of spaces, technologies, and support needed for project (500 words or less) - Resume/CV - Online portfolio of past relevant works - 1 letter of reference Selection and Notification Process Proposals will be selected by the Immersive Scholar personnel <https://immersivescholar.org/contact> based on the following criteria: - Creativity of proposal - Whether the proposal is extensible, desirable, and feasible for distribution to multiple visualization installations - Proficiency in web or creative coding technologies - Good collaboration skills - Value of proposed outcomes to digital scholarship Applicants may be contacted for an interview or a presentation of previous work. Questions Please see http://immersivescholar.org for more information about the grant and send inquiries to immersivescholar(a)ncsu.edu. *Submit applications through this Google Form <https://docs.google.com/forms/d/e/1FAIpQLScVxSIRUT4L6L6FPu4gDxaKx1uritxAE6X…>. All applications must be submitted by 8:00am EST, January 3rd.* -- Mike Nutt Director of Visualization Services Digital Library Initiatives, NCSU Libraries 919.513.0651 https://immersivescholar.org @ImmersivScholar <https://twitter.com/ImmersivScholar>

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Open PhD position: GeoVisual Analytics (open topic)
by Halldór Janetzko 13 Dec '17

13 Dec '17

++ PhD post: geovisual analytics (open topic) ++ The Geographic Information Visualization and Analysis group at the University of Zurich invites applications for a doctoral research assistant position in Geographic Information Science/Geovisualization to work on a research project related to geovisual analytics. The highly motivated, successful applicant is asked to suggest, develop, and answer a timely and relevant research question related to spatio-temporal knowledge discovery and knowledge construction using geovisual analytics displays (including spatialization). Applicants are required to have successfully completed a Master’s degree (by thesis) in a relevant area, e.g., Geography, Geographic Information Science, or Computer Science. You have an established background in quantitative and/or qualitative methodologies for data collection and data analysis. Applications from women and under-represented groups are especially encouraged. You are familiar with information visualization including (carto-)graphic design and (geo-)data mining. You have solid implementation skills (e.g., Java, JavaScript, C#, or similar) and are confident in, for example, implementing an interactive geovisual analytics system. You have a proven ability to work independently on guided projects, and are interested in presenting your results orally and in scientific publications to a larger scientific audience. You have a very good standard of written and spoken English, and knowledge of German, whilst not required, would be an advantage. The successful candidate will be hired on a 1-year contract (starting February 1st, 2018 or soon thereafter), which will be extended to the nominal 4-year PhD period after positive evaluation. For more background information about this position, please visit us on the Web at http://www.geo.uzh.ch/giva <http://www.geo.uzh.ch/giva>. For informal thematic inquiries about this position please contact Prof. Sara Irina Fabrikant, Email: sara(a)geo.uzh.ch <mailto:sara@geo.uzh.ch> (subject: PhD GeoVA), or by phone: +41-44-635-5150. Applications must include a motivation letter with sample research questions, a CV, transcripts, and the contact information of two referees. Apply digitally to: Human Resources, Department of Geography, University of Zurich, Winterthurerstr. 190, CH-8057 Zurich, Switzerland, Email: secretary.giva(a)geo.uzh.ch <mailto:secretary.giva@geo.uzh.ch> (subject: GeoVA PhD), phone: +41-44-635-5151. Review of applications will begin February 1st 2018, and will continue until the position is filled.

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Postdoctoral position in machine learning and exploratory search (can also start as a late-stage doctoral student)
by Peltonen Jaakko 12 Dec '17

12 Dec '17

The Faculty of Natural Sciences at the University of Tampere invites applications for a fixed-term full-time postdoctoral researcher’s position for a period from 1 January 2018 to 31 December 2019. The research takes place in the project ”Machine learning for exploratory search over multiple data domains (EXCEED)”. The postdoctoral researcher will develop new well-performing, computationally efficient and scalable methods based on probabilistic modeling, data mining, and machine learning for exploratory search, and modeling and visualization of text data. The main data sources are large structured data of online conversations in different media. The postdoctoral researcher will participate in all parts of the research process including ideas development, methods development, data gathering, empirical testing, and publication in high-quality international venues. Other tasks of research staff are governed by University of Tampere's regulations on human resources, Section 3. A person appointed as a postdoctoral researcher must hold an appropriate doctoral degree in a field related to the research tasks (such as statistics, computer science, visual analytics, or a related field) and must be able to pursue scientific research independently as well as have the instructional skills needed in the post. It is also possible to start as a researcher if one has made good progress in PhD studies and has a sufficient track record. A strong track record of research and scientific publication in top venues is appreciated. Good programming skills are expected. The most likely languages to be utilized in the project are are Python, R or Matlab. Success in the task requires good oral and written language skills in English or Finnish. The remuneration of the postdoctoral researcher post is based on level 5 of the job-related salary element for teaching and research personnel in the salary system of the Finnish Universities. The basic salary will be supplemented with a performance increase based on the employee's individual performance. The position carries a four-month trial period. Please submit your application documents through the University's online application system (link below: choose the JÄTÄ HAKEMUS or APPLY FOR THIS POSITION button, see instructions) by 15:45 Finnish time on 27 December 2017. https://uta.rekrytointi.com/paikat/?o=A_RJ&jgid=1&jid=1064 The application should be sent with a curriculum vitae, full publication list, a list of no more than 10 of the most representative publications and links to these publications which are openly accessible online, and any other materials considered relevant such as letters of recommendation. Applicants may be invited for an interview in person in Tampere or online. For further information about the position, please contact: Associate Professor Jaakko Peltonen, jaakko.peltonen(at)uta.fi; tel: +358 50 3623628 For more information about the application process, please contact: Head of Administration Sari Saastamoinen, sari.saastamoinen(at)uta.fi, puh. +358 40 190 1479 The University of Tampere has the right not to fill the vacancy and to extend the deadline for applications for a valid reason.

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Call for papers: Natural Language Processing for Social Media Analysis - NLP4SMA 2018
by Andreas Kerren 07 Dec '17

07 Dec '17

[We apologize if you receive multiple copies of this message] ======================================== CALL FOR PAPERS Natural Language Processing for Social Media Analysis - NLP4SMA 2018, within the 10th Hellenic Conference on Artificial Intelligence - SETN 2018 Submission Deadline: February 28, 2018 http://setn2018.upatras.gr/nlp4sma-2018/ 9-15 July 2018, Patras, Greece ======================================== The exploitation of natural language from social media data is an intriguing task in the fields of text mining and natural language processing (NLP), with plenty of applications in social sciences and social media analytics. In this special session of SETN 2018, we call for research papers in the broader field of NLP techniques for social media analysis. The topics of interest include (but are not limited to): sentiment analysis in social media and beyond (e.g., stance identification, sarcasm detection, opinion mining), computational sociolinguistics (e.g., identification of demographic information such as gender, age), and NLP tools for social media mining (e.g., topic modelling for social media data, text categorization and clustering for social media, social media visual analytics). ORGANIZING COMMITTEE Iosif Mporas, University of Hertfordshire, UK Vasiliki Simaki, Lund University, Sweden Carita Paradis, Lund University, Sweden Andreas Kerren, Linnaeus University, Sweden Michael Paraskevas, CTI Diophantus, Greece IMPORTANT DATES Submission of papers: February 28, 2018

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CDVE2018 call for papers Abstract deadline Feb. 1, 2018
by cdve .org 05 Dec '17

05 Dec '17

The 15th International Conference on Cooperative Design, Visualization and Engineering - CDVE2018 will be held from October 21 - 24, 2018, Hangzhou, China. You are welcome to submit papers to the conference. The conference proceedings of CDVE2018 will be published by the prestigious Lecture Notes in Computer Science by Springer and indexed by ISI(CPCI-S), Web of Science, EI, Scopus, DBLP, ACM Digital Library. Selected papers will be invited to fully expand to be included in special issues of a couple SCI indexed journals. The paper should not be submitted before to other places. At the same time please make sure that your paper topic is within the scope of the conference. See the conference web page http://www.cdve.org/cfpaper.html for detailed information. You should include at least one keyword from our call of papers to prove that your paper theme fits the conference scope. All the papers should follow the LNCS format restrictively. The submission page is: http://www.easychair.org/conferences/?conf=cdve2018 The following forms of paper should be submitted: *Abstract(recommended): *1 page with title, author information, keyword, abstract text Abstract submission deadline: Feb. 1, 2018. We will give you some feedback around 10 days. The complete version of the papers has to pass another peer to peer review to be accepted. *Full Papers* - 8 pages Full Paper submission deadline: April 20, 2018 Notification of acceptance: June 10, 2018 Final camera ready paper due and registration for accepted paper authors: July 10, 2018 *Short papers* - 4 pages Short Paper submission deadline: May 10, 2018 Notification of acceptance: June 10, 2018 Final camera ready paper due and registration for accepted paper authors: July 10, 2018 *Poster papers* (not included in proceedings) Abstract submission: June 20, 2018 Notification of acceptance of abstract: July 15, 2018 Final poster file submission and Registration for authors: July 31, 2018 *Early registration for all participants*: August 30, 2018 *Oct. 21-24, 2018: * CDVE2018 conference in Hangzhou, China By submission of full and short papers, you agree that at least one full registration will be made for each accepted paper to be included in the CDVE2018 proceedings. For submission of poster papers, you agree to make at least one full registration for each accepted poster paper. CDVE conferences have participants over 20 countries and rich social programs. The previous conferences have been held in Mallorca, Luxembourg, Shanghai, Osaka, Hong Kong, Seattle, and Sydney. This year, we will have the conference in the famous internet technology base in China – Hangzhou. You will enjoy it for sure! Please feel free to forward this call. -- The 15th International Conference on Cooperative Design, Visualization and Engineering Oct. October 21 - 24,2018, Hangzhou, China Email: cdve2018(a)easychair.org Web: http://www.cdve.org

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Call for Papers: SetVR 2018 @ Diagrams 2018
by Yuri Sato 04 Dec '17

04 Dec '17

**************************************************************************** SetVR 2018 International Workshop on Set Visualization and Reasoning 2018 https://sites.google.com/site/setvr2kn/current-workshop Conference dates: 18th--22nd June 2018 Location: Edinburgh, UK Deadline for submission: 5th February, 2018 **************************************************************************** SetVR 2018 will be the 6th meeting, with the first one held in 2004, previously called the Euler Diagrams Workshop. It aims to promote theoretical, empirical, applied research on visualization and diagrammatic reasoning, especially, about sets (set-theoretical and grouped data). SetVR 2018 welcomes submissions of types: full papers (16 pages) and short papers (8 pages; at least 5 pages). Accepted papers are expected to be published on-line by CEUR Workshop Proceedings (CEUR-WS.org) SetVR 2018 will run as part of Diagrams 2018 conference, which will be held from June 18th to 22nd in 2018, and is expected to occupy one day during this period. http://www.diagrams-conference.org/2018/ Organizers Yuri Sato (University of Brighton, UK) Zohreh Shams (University of Cambridge, UK) Program Committee Bilal Alsallakh (Bosch Research and Technology Center, USA) Jim Burton (University of Brighton, UK) Peter Chapman (Edinburgh Napier University, UK) Renata De Freitas (Universidade Federal Fluminense, Brasil) Mateja Jamnik (University of Cambridge, UK) Sven Linker (University of Liverpool, UK) Luana Micallef (Helsinki Institute for Information Technology HIIT, Finland) Peter Rodgers (University of Kent, UK) Gem Stapleton (University of Brighton, UK) ___________________________________________________________ This email has been scanned by MessageLabs' Email Security System on behalf of the University of Brighton. For more information see: https://staff.brighton.ac.uk/is/computing/Pages/Email/spam.aspx

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