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Workshop on Big Mobility Data Analytics (BMDA) at EDBT in Vienna AT, 26.03.2018 (updated version)
by Gennady Andrienko 14 Nov '17

14 Nov '17

*** sorry for repeated posting - by mistake I've sent yesterday a wrong version of the CFP *** BMDA’18 Call for papers ----------------------- International Workshop on Big Mobility Data Analytics (BMDA) co-located with EDBT/ICDT Conference, March 26, 2018 – Vienna, Austria http://www.datastories.org/bmda18/ ** Submissions due December 15, 2017 ** ** Selected accepted papers will be considered for a special section at GeoInformatica (Springer) ** Workshop Description ==================== >From spatial to spatio-temporal and, then, to mobility data. So, what’s next? Not perhaps, but for sure it is the mobility-aware integrated Big Data analytics. The Big Mobility Data Analytics (BMDA) workshop, co-located with 2018 joint EDBT/ICDT Conference, aims at bringing together experts in the field from academia, industry and research labs to discuss the lessons they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of "mobility". The objective of BMDA workshop is to bring together researchers and practitioners interested in scalable data-intensive applications that manage and analyze big mobility data. The workshop will foster the exchange of new ideas on multidisciplinary real-world problems, discussion on proposals about innovative solutions, and identify emerging opportunities for further research in the area of big mobility data analytics, covering all layers of the Big Data Value Analytics (BDVA) reference model, namely data management, data processing, data analytics, and data visualization and user interaction. The workshop intends to bridge the gap between researchers and big data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc. We encourage submissions of papers that highlight the value of mobility data processing, analyzing, and mining on topics that include, but are not limited to the following: - Fundamentals of mobility data analytics - Big data platforms for mobility data analytics - Parallel / streaming data processing for mobility analytics - Predictive analytics using mobility data - Complex event detection for moving objects - Visual analytics on big mobility data - Mobility-as-a-Service - Interactive traffic analysis with GPS data - Urban / maritime / aviation traffic flow forecasting - Urban / maritime / aviation travel time prediction - Integration / interlinking of mobility with societal data - Geosocial networks - Philosophical / ethical / privacy issues on mobility data analytics Keynote Speakers ================ The program includes two keynote talks by: - Prof. Dino Pedreschi, Co-leader of KDD Lab, ISTI-CNR & University of Pisa [Dino's homepage: http://kdd.isti.cnr.it/people/pedreschi-dino ] - Dr. Andreas Metzger, Head of Adaptive Systems and Big Data Applications, Universität Duisburg-Essen [Andreas' homepage: https://sse.uni-due.de/en/team/researchers/dr-andreas-metzger/ ] Paper Submission Procedure, Workshop Proceedings, Journal special section ========================================================================= We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or submitted to a journal or a conference with proceedings. Submitted papers can be of two types: - Regular Research Papers: these papers should report original research results or significant case studies. They should be 5000-8000 words (at most 8 pages) long. - Position Papers: these papers should report novel research directions or identify challenging problems. They should be at most 4 pages long. Submissions should be formatted using the EDBT/ICDT 2018 camera-ready template and submitted through the workshop’s submission system at EasyChair [https://easychair.org/conferences/?conf=bmda18] Following the tradition of recent EDBT/ICDT workshops, all workshop papers will be published online at CEUR [http://ceur-ws.org/] All submitted papers will be peer reviewed by at least three reviewers. If accepted, at least one of the authors must attend the workshop to present the work. Selected accepted papers will be considered for a special section at GeoInformatica (IF: 2.392); https://link.springer.com/journal/10707 . Important dates =============== Paper Submission: December 15, 2017 ** revised wrt. preliminary CFP ** Notification of Acceptance: January 19, 2018 ** revised wrt. preliminary CFP ** Camera Ready Paper Due: January 29, 2018 Workshop date: March 26, 2018 Organization and Support ======================== Workshop organizers: - Nikos Pelekis, University of Piraeus, npelekis(a)unipi.gr - Gennady Andrienko, Fraunhofer IAIS, gennady.andrienko(a)iais.fraunhofer.de - Alexander Artikis, University of Piraeus & NCSR Demokritos, a.artikis(a)unipi.gr - Fosca Giannotti, ISTI CNR Pisa, fosca.giannotti(a)isti.cnr.it - Akrivi Kiousi, Intrasoft International, akrivi.kiousi(a)intrasoft-intl.com - Themis Palpanas, Paris Descartes University, themis(a)mi.parisdescartes.fr - Yannis Theodoridis, University of Piraeus & Athena RIC, ytheod(a)unipi.gr Program Committee: - Elias Alevizos, NCSR Demokritos, Greece - Nicolas Baskiotis, LIP6/UPMC, France - Kostas Chatzikokolakis, LIX, École Polytechnique, France - Harris Georgiou, University of Piraeus, Greece - Christos Doulkeridis, University of Piraeus, Greece - Davy Janssens, Hasselt University, Belgium - Sophia Karagiorgou, Intrasoft International, Greece - Mohamed Mokbel, University of Minnesota, U.S.A. - Mirco Nanni, HISTI-CNR, Pisa, Italy - Kostas Patroumpas, IMIS, Athena Research Center, Greece - Alessandra Raffaeta', Universita' Ca' Foscari Venezia, Italy - Cyril Ray, Naval Academy Research Institute, France - Chiara Renso, ISTI-CNR, Pisa, Italy - Giorgos Santipantakis, University of Piraeus, Greece - David Scarlatti, Boeing Research and Technology Europe, Spain - Roberto Trasarti, ISTI-CNR, Pisa, Italy - George Vouros, University of Piraeus, Greece - Robert Weibel, University of Zurich, Switzerland - Demetrios Zeinalipour-Yazti, University of Cyprus, Cyprus - Dimitrios Zissis, University of the Aegean, Greece Supported by: - EU Horizon 2020 project datAcron “Big Data Analytics for Time Critical Mobility Forecasting” - EU Horizon 2020 project MaaS4EU “End-to-End Approach for Mobility-as-a-Service tools, business models, enabling framework and evidence for European seamless mobility” - EU Horizon 2020 project Track’n’Know “Big Data for Mobility Tracking Knowledge Extraction in Urban Areas” - EU Horizon 2020 project TT “Transforming Transport” ____________________________________________________________

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Workshop on Big Mobility Data Analytics (BMDA) at EDBT in Vienna AT, 26.03.2018
by Gennady Andrienko 13 Nov '17

13 Nov '17

BMDA'18 Call for papers International Workshop on Big Mobility Data Analytics (BMDA), co-located with EDBT/ICDT Conference, March 26, 2018 in Vienna, Austria http://www.datastories.org/bmda18/ Workshop description: >From spatial to spatio-temporal and, then, to mobility data. So, what's next? Not perhaps, but for sure it is the mobility-aware integrated Big Data analytics. The Big Mobility Data Analytics (BMDA) workshop, co-located with 2018 joint EDBT/ICDT Conference, aims at bringing together experts in the field from academia, industry and research labs to discuss the lessons they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of "mobility". The objective of BMDA workshop is to bring together researchers and practitioners interested in scalable data-intensive applications that manage and analyze big mobility data. The workshop will foster the exchange of new ideas on multidisciplinary real-world problems, discussion on proposals about innovative solutions, and identify emerging opportunities for further research in the area of big mobility data analytics, covering all layers of the Big Data Value Analytics (BDVA) reference model, namely data management, data processing, data analytics, and data visualization and user interaction. The workshop intends to bridge the gap between researchers and big data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc. We encourage submissions of papers that highlight the value of mobility data processing, analyzing, and mining on topics that include, but are not limited to the following: - Fundamentals of mobility data analytics - Big data platforms for mobility data analytics - Parallel / streaming data processing for mobility analytics - Predictive analytics using mobility data - Complex event detection for moving objects - Visual analytics on big mobility data - Mobility-as-a-Service - Interactive traffic analysis with GPS data - Urban / maritime / aviation traffic flow forecasting - Urban / maritime / aviation travel time prediction - Integration / interlinking of mobility with societal data - Geosocial networks - Philosophical / ethical / privacy issues on mobility data analytics Keynote Speakers The program will include two keynote talks, which will be given by: - Prof. Dino Pedreschi, University of Pisa & KDD Lab [Dino's homepage: http://kdd.isti.cnr.it/people/pedreschi-dino] - Dr. Andreas Metzger, Head of Adaptive Systems and Big Data Applications [Andreas's homepage https://sse.uni-due.de/en/team/researchers/dr-andreas-metzger/] All submitted papers will be peer reviewed by at least three reviewers. If accepted, at least one of the authors must attend the workshop to present the work. Selected accepted papers will be recommended for submission to a special section of the GeoInformatica journal (IF: 2.392); https://link.springer.com/journal/10707. Proceedings and Paper Submission We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Submitted papers can be of two types: - Regular Research Papers: these papers should report original research results or significant case studies. They should be at most 6 pages long. - Position Papers: these papers should report novel research directions or identify challenging problems. They should be at most 4 pages long. Submissions should be formatted using the EDBT/ICDT 2018 camera-ready template and submitted through the workshop's submission system at EasyChair [https://easychair.org/conferences/?conf=bmda18] Following the tradition of recent EDBT/ICDT workshops, all workshop papers will be published online at CEUR [http://ceur-ws.org/] Important dates: Paper Submission: December 15, 2017 Notification of Acceptance: January 19, 2017 Camera Ready Paper Due: January 29, 2018 Workshop date: March 26, 2018 Workshop organizers: Nikos Pelekis, University of Piraeus, npelekis(a)unipi.gr Gennady Andrienko, Fraunhofer IAIS, gennady.andrienko(a)iais.fraunhofer.de Alexander Artikis, University of Piraeus & NCSR Demokritos, a.artikis(a)unipi.gr Fosca Giannotti, ISTI CNR Pisa, fosca.giannotti(a)isti.cnr.it Akrivi Kiousi, Intrasoft International, akrivi.kiousi(a)intrasoft-intl.com Themis Palpanas, Paris Descartes University, themis(a)mi.parisdescartes.fr Yannis Theodoridis, University of Piraeus & Athena RIC, ytheod(a)unipi.gr Program Committee: Alevizos Elias, NCSR Demokritos, Greece Baskiotis Nicolas, LIP6/UPMC, France Chatzikokolakis Kostas, LIX, Ã‰cole Polytechnique, France Georgiou Harris, University of Piraeus, Greece Doulkeridis Christos, University of Piraeus, Greece Janssens Davy, Hasselt University, Belgium Karagiorgou Sophia, Intracom, Greece Mokbel Mohamed, University of Minnesota, U.S.A. Nanni Mirco, HISTI-CNR, Pisa, Italy Patroumpas Kostas, IMIS, Athena Research Center, Greece Raffaeta' Alessandra, Universita' Ca' Foscari Venezia, Italy Ray Cyril, Naval Academy Research Institute, France Renso Chiara, ISTI-CNR, Pisa, Italy Santipantakis Giorgos, University of Piraeus, Greece Scarlatti David, Boeing Research and Technology Europe, Spain Trasarti Roberto, ISTI-CNR, Pisa, Italy Vouros George, University of Piraeus, Greece Weibel Robert, University of Zurich, Switzerland Zeinalipour-Yazti Demetrios, University of Cyprus, Cyprus Zissis Dimitrios, University of the Aegean, Greece ____________________________________________________________

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Simon Fraser University’s School of Interactive Arts and Technology (SFU SIAT) invites candidates to apply to our graduate program
by Wolfgang Stuerzlinger 01 Nov '17

01 Nov '17

Simon Fraser University’s School of Interactive Arts and Technology invites candidates to apply to our graduate program. Apply now: http://siats.ca/apply Learn more: http://siats.ca/more Application Deadline: January 15, 2018 The School of Interactive Arts & Technology (SIAT) is an internationally recognized interdisciplinary school with a focus on technology and the human experience. SIAT MSc., MA, and Ph.D. students develop and apply innovative multi-disciplinary research methods to explore the broader implications of advanced information and media technologies. Guided by these studies, they design new technology and media experiences that are responsive to individual, organizational, and societal values. SIAT’s infrastructure includes state-of-the-art teaching and research facilities, and is further enhanced by the capabilities and resources of our many university collaborators and partner organizations in the public and private sectors, which also provide opportunities for internships. Students admitted to our graduate program can expect to receive funding for multiple years in the form of scholarships and/or research and teaching assistantships. SIAT graduate students are mentored in interdisciplinary research methods and various forms of dissemination, such as international academic publishing, conference presentation, or curation and exhibition of media arts, both locally and abroad. Our program’s unique focus, which brings together experts and students from a variety of backgrounds, such as media arts, human-computer interaction, design, computing, and social science, prepares graduates for diverse careers in the technology sector and in academia. SIAT alumni hold leading positions in industry and in tenure-track positions in institutions around the world. Our specialized areas of research include, but are not limited to, the following: * Interactive Computing: visualization and visual analytics, human-computer interaction, artificial intelligence, tangible interfaces, virtual and augmented reality, learning technologies, game technology, domestic computing and other themes * Media, Visual Arts and Performance: performance technology, interactive animation, interactive environments and installations, game narrative, film and video, audio/music, digital curation, and other themes * Design: interaction design, sustainable design, parametric design, immersion design, experience design, participatory design, game design, museum design, design for children and the elderly, and related themes * People: cognitive, perceptual, and social psychology, anthropology and ethnography of media, history, user modeling, chronic pain management, and health data management * Science of Interaction: uses the scientific method to develop and test theories of human perceptual, cognitive, interactive, and communicative performance that are used to design, prototype, and evaluate interactive systems in their context of use. SIAT, at Simon Fraser University’s (SFU) Surrey campus, is located directly on the main rapid transit line to downtown Vancouver. Located between the mountains and the sea, Metro Vancouver is home to one of the central nodes of Canada’s cultural and entertainment industry and much of its digital media production. The region’s rich cultural, natural and intellectual resources make it one of the world’s most desirable places to live, study and work. SIAT, a unit of the Faculty of Communication, Art and Technology (FCAT), is a member of many local, national, and international networks, and has strong connections to leading companies. Visit our website for more information on the admissions process http://siats.ca/more Consider liking our Facebook page: https://www.facebook.com/SIATSFU/ or follow us on Twitter https://twitter.com/SIAT_SFU to see what we are up to and learn about our latest news, research, and exhibitions. -- Wolfgang Stuerzlinger http://ws.iat.sfu.ca Simon Fraser University w.s(a)sfu.ca

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1st Workshop on Context in Analytics @ IEEE ICDE'18, Paris, France
by Eser Kandogan 31 Oct '17

31 Oct '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 =========================================================== ** Note new dates for submissions ** 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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Post-Doctoral Position in Data-Driven Video Stories
by Jonathan Hook 31 Oct '17

31 Oct '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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Assistant Professor Position in Data Science — University of Calgary
by Wesley Willett 25 Oct '17

25 Oct '17

The University of Calgary is hiring for several assistant prof positions this year, including one in data science. The hire is part of our move to build out a new data science program, so primarily looking for folks with more visual analytics and/or machine learning experience. New hires would have a chance to collaborate with visualization faculty in the Interactions Lab <http://ilab.cpsc.ucalgary.ca>, InnoVis <http://innovis.cpsc.ucalgary.ca/>, and Data Experience <http://dataexperience.cpsc.ucalgary.ca/> labs. Having spent the past couple of years at Calgary as a new prof, I've been very impressed with the university overall and the department in particular – and this is hopefully one in a string of several more vis-related hires! Full advert below. Thanks, _Wesley Willett ————————————— <http://goog_1241136562> http://www.ucalgary.ca/cpsc/files/cpsc/assistant_professors_data_sience_and_ information_security_2018.pdf *Two Assistant Professor Positions, Data Science & Information Security* *Department of Computer Science, Faculty of Science, University of Calgary* The Department of Computer Science (CPSC) at the University of Calgary seeks outstanding candidates for two tenure-track positions at the Assistant Professor level. Applicants must have an exceptional publication record (for the seniority level of the position) and possess a PhD in Computer Science (or equivalent) at the time of appointment. Successful applicants must be enthusiastic about contributing to both teaching and research. Applicants are sought in the areas of *Data Science* or *Information Security*. The successful *data science applicant* should have demonstrated expertise in creating big data applications, machine learning, data analytics, or data mining. We are also particularly interested in applicants using data science approaches to enhance software engineering processes. The successful *information security applicant* should have demonstrated expertise in applied cryptography, system security, or network security. We are also particularly interested in applicants with expertise in building secure software systems. Both applicants should also be able to work in close collaboration with other researchers at the University of Calgary. Interdisciplinarity in an applicant’s research is an asset. The successful candidates are expected to establish an independent research program aligned with the University of Calgary's Eyes High vision, and to provide high-quality teaching at both the undergraduate and graduate levels. They will actively recruit and supervise graduate students. Peer-reviewed external funding is expected to be obtained and sustained. Industrial partnerships are also strongly encouraged, as appropriate. Recently ranked #1 among young universities in North America, the University of Calgary has significant ongoing research activities in fundamental and applied analytics as well as information security. Information security, information visualization, visual analytics, human-computer interaction, and engineering of analytics applications are current strengths, leading to close interactions with experts from a wide variety of application domains. Cross-disciplinary teams are tackling big data challenges in energy, health informatics, life sciences, and other areas. Analytics and visualization have been identified as core platform by the University of Calgary, triggering investments in these and related research areas. The Faculty of Science Institute for Security, Privacy and Information Assurance (ISPIA) is a multi-disciplinary Institute at the University of Calgary, devoted to research and educational activities in all aspects of information protection, with strong linkages to industry and community The Department of Computer Science is one of Canada's leaders, with demonstrated excellence in teaching and research. It has large undergraduate and graduate programs, state-of-the-art computing facilities, and successful multi-disciplinary linkages. Calgary is a multi-cultural city and enjoys a moderate climate beside the natural beauty of the Rocky Mountains. Further information is available at http://www.cpsc.ucalgary.ca. Interested applicants should send a CV, a concise description of their research, a statement of teaching philosophy, and a list of 3 references via email to search(a)cpsc.ucalgary.ca, or physical mail to: Head, Department of Computer Science University of Calgary 2500 University Drive NW Calgary, Alberta, Canada T2N 1N4 The deadline for applications is *December 1, 2017* or until the positions are filled. Hiring decisions will be finalized in Spring 2018, with the successful candidates joining the University of Calgary in *July 2018*.

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call for VIS Surveys
by Klaus Mueller 25 Oct '17

25 Oct '17

Dear VIS enthusiast: I would like to point you to a new initiative at IEEE TVCG – VIS Surveys. VIS Surveys are essentially TVCG survey articles with a VIS theme. Their length is up to 20 journal pages (the usual length of a TVCG survey paper). As is the case for all successful TVCG articles, the authors have the option to orally present their work at the annual VIS conference. So, if you are aiming for VIS 2018, then you should plan to submit your VIS Survey paper to TVCG by December 31, 2017. If you would like to test an idea, please feel free to send me an email <mueller(a)cs.stonybrook.edu> with a quick overview. More concretely, VIS Surveys have the specific aim to (1) provide unfamiliar readers a quick gateway into a VIS-related research domain, and (2) help professionals working in the field stay abreast with developments in this rapidly evolving area of research. VIS Survey papers are meant to be easily accessible to non-experts and are designed to provide a thorough, integrative, up-to-date, and comprehensive narration of the existing body of research in the survey’s target domain. They cover the subject’s theory as well as its practice, point out existing trends, enable a critical comparison of existing research efforts and results, and in some occasions also shed a light on developments in the commercial arena. Topics of interest are all aspects of data visualization, such as scientific visualization, medical visualization, flow visualization, information visualization, visual analytics, visual data science, virtual reality, augmented reality, human-computer interaction, visual perception, active machine learning, high performance visual computing, and others. The focus can be software, hardware, or both. VIS Survey papers are up to 20 double-columned pages in length and are rigorously peer-reviewed by domain experts. They are published in IEEE Transaction on Visualization and Computer Graphics (TVCG) and can be orally presented at the annual Visualization (VIS) conference. Klaus Mueller Associate Editor-in-Chief, IEEE TVCG ----------------------------------------------------------------------------------------------------- Klaus Mueller, PhD Professor of Computer Science Stony Brook University (State University of New York) Senior Adjunct Scientist, Computational Science Initiative, Brookhaven National Lab mueller(a)cs.stonybrook.edu | http://www.cs.stonybrook.edu/~mueller ------------------------------------------------------------------------------------------------------

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PostDoc in Graph Drawing at Roma Tre University
by Fabrizio Frati 24 Oct '17

24 Oct '17

A postdoc position in graph drawing and related areas is open in 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. The postdoc appointment is to begin in late 2017 or early 2018. 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 call can be found here: http://www.ingegneria.uniroma3.it/?p=27526 The Italian version of the call is available here: http://www.ingegneria.uniroma3.it/?p=27502 Detailed information on how to apply are available in the call. In particular, a candidate should send a package to the address specified in the first page of the call, containing: - 3 filled forms ("Allegato A", "Allegato B", and "Allegato C"), corresponding to the last three pages of the call - a copy of an ID - a copy of the CV - a copy of any relevant titles (e.g., the ph.d. award, awards at conferences, ...) - a copy of the most significant publications (possibly no more than five) The package has to be received no later than the 15th of November. Selected candidates will be interviewed via Skype or similar electronic means. For any further information, please contact Fabrizio Frati <frati(a)dia.uniroma3.it> ------------------------ QUICK GUIDE TO THE FORMS Allegato A: - Rep. N is 102/2017 - At point 2) the candidate should indicate first the topic of his/her degree (e.g., mathematics or computer science), then the date of conferment, then the University where the degree was obtained, then the final grade (if available). Allegato B: This form is to self-certify that the candidate has obtained a master degree. In the thick box, the candidate should specify the topic of his/her degree (e.g., mathematics or computer science), then the date of conferment, then the University where the degree was obtained, then the Faculty where the degree was obtained, then the final grade (if available); the small box indicates a laurea cum laude. Allegato C: In the first list the candidate should list the relevant titles attached to the application. In the second list the candidate should list the titles of the scientific publications attached to the application.

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CFP 1st Workshop on Context in Analytics @ IEEE ICDE'18, Paris, France
by Eser Kandogan 23 Oct '17

23 Oct '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 visual analytics -Context in machine learning -Contextual personalized search -Collaborative contextual analytics -Privacy and context -Context models and querying -Context services and architectures -Context in provenance -Recommender systems and context -Data governance with Context Important Dates: --------------- Dec 15th: Paper Submission Jan 19th: Papers Notification Mary Roth, IBM Research Amol Deshpande, U of Maryland Eser Kandogan, IBM Research

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Open PhD Position in Visual Analytics for Engineering Smarter Systems, Linnaeus University, Växjö, Sweden
by Andreas Kerren 18 Oct '17

18 Oct '17

==== 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: November 1, 2017 ****Description**** The focus of this advertised PhD position and the corresponding research project is on visual analytics for engineering smarter systems (http://bit.ly/isovis-vaess) 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. ****How to apply**** Interested candidates find detailed application information including qualification requirements, assessment criteria, and contact details on the following web page http://bit.ly/isovis-phd Applications have to be submitted online via the above given web page by November 1, 2017, at the latest. 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. -- +------------------------------------------------------- + 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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