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[Final CFP] Big Data Visual Exploration & Analytics workshop (BigVis 2020) @ EDBT 2020 Copenhagen
by Nikos Bikakis 27 Dec '19

27 Dec '19

Call for Papers BigVis 2020: 3rd International Workshop on Big Data Visual Exploration and Analytics https://bigvis.imsi.athenarc.gr/bigvis2020 March 30, 2020, Copenhagen, Denmark Held in conjunction with the 23rd Intl. Conference on Extending Database Technology & 23rd Intl. Conference on Database Theory (EDBT/ICDT 2020) Information Visualization is nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part. Thus, the area of data visualization, visual exploration and analysis has gained great attention recently, calling for joint action from different research areas from the HCI, Computer graphics and Data management and mining communities. In this respect, several traditional problems from these communities such as efficient data storage, querying & indexing for enabling visual analytics, new ways for visual presentation of massive data, efficient interaction and personalization techniques that can fit to different user needs are revisited. The modern exploration and visualization systems should nowadays offer scalable techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms for information abstraction, sampling and summarization for addressing problems related to visual information over-plotting. Further, they must encourage user comprehension offering customization capabilities to different user-defined exploration scenarios and preferences according to the analysis needs. Overall, the challenge is to offer self-service visual analytics, i.e. enable data scientists and business analysts to visually gain value and insights out of the d! ata as repidly as possible, minimizing the role of IT-expert in the loop. The BigVis workshop aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss, exchange, and disseminate their work. BigVis attempts to attract attention from the research areas of Data Management & Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities. Workshop Topics ------------------------------------ In the context of visual exploration and analytics, topics of interest include, but are not limited to: - Visualization, exploration & analytics techniques for various data types; e.g., stream, spatial, high-dimensional, graph - Human-in-the-loop processing - Human-centered databases - Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications - Interactive machine learning - Interactive data mining - User-oriented visualization; e.g., recommendation, assistance, personalization - Visualization & knowledge; e.g., storytelling - Progressive analytics - In-situ visual exploration & analytics - Novel interface & interaction paradigms - Visual representation techniques; e.g., aggregation, sampling, multi-level, filtering - Scalable visual operations; e.g., zooming, panning, linking, brushing - Scientific visualization; e.g., volume visualization - Analytics in the fields of scholarly data, digital libraries, multimedia, scientific data, social data, etc. - Immersive visualization - Interactive computer graphics - Setting-oriented visualization; e.g., display resolution/size, smart phones, visualization over networks - High performance, distributed & parallel techniques - Visualization hardware & acceleration techniques - Linked Data & ontologies visualization - Benchmarks for data visualization & analytics - Case & user studies - Systems & tools Submissions ------------------------------------ Regular/Short Research papers [up to 8/4 pages] Work-in-progress papers [up to 4 pages] Vision papers [up to 4 pages] System papers and Demos [up to 4 pages] Important Dates ------------------------------------ Submission: January 5, 2020 Notification: January 24, 2020 Camera-ready: January 29, 2020 Workshop: March 30, 2020 Organizing Committee ------------------------------------ David Auber, University Bordeaux, France Nikos Bikakis, University of Ioannina, Greece Panos K. Chrysanthis, University of Pittsburgh, USA George Papastefanatos, ATHENA Research Center, Greece Mohamed Sharaf, United Arab Emirates University, UAE Special Issue ------------------------------------ Extended versions of the best papers of BigVis 2020 will be invited for submission in the Special Issue "Interactive Big Data Visualization and Analytics" of the "Big Data Research Journal", Elsevier (IF: 2.95) Program Committee ------------------------------------ James Abello, Rutgers Univ, USA Demosthenes Akoumianakis, Hellenic Mediterranean Univ, Greece Gennady Andrienko, Fraunhofer, Germany Rick Cole, Tableau Alfredo Cuzzocrea, ICAR-CNR & Univ of Calabria, Italy Danyel Fisher, Honeycomb.io Steffen Frey, Univ of Stuttgart, Germany Giorgos Giannopoulos, ATHENA Research Center, Greece Parke Godfrey, Univ of York, Canada Michael Gubanov, Univ of Texas at San Antonio, USA Silu Huang, Microsoft Christophe Hurter, Ecole Nationale de l’Aviation Civile, France Vana Kalogeraki, Athens Univ of Economics & Business, Greece Eser Kandogan, IBM James Klosowski, AT&T Research Manolis Koubarakis, University of Athens, Greece Zhicheng Liu, Adobe Steffen Lohmann, Fraunhofer, Germany Ioana Manolescu, INRIA & Ecole Polytechnique, France Marios Meimaris, ATHENA Research Center, Greece Silvia Miksch, Vienna Univ of Technology, Austria Davide Mottin, Hasso Plattner Institute, Germany Martin Nöllenburg, Vienna Univ of Technology, Austria Olga Papaemmanouil, Brandeis Univ, USA Paul Parsons, Purdue Univ, USA Laura Po, Unimore, Italy Giuseppe Polese, Univ of Salerno, Italy Alexander Rind, St. Pölten Univ of Applied Sciences, Austria Gerik Scheuermann, Univ of Leipzig, Germany Hans-Jörg Schulz, Aarhus Univ, Denmark Heidrun Schumann, Univ of Rostock, Germany Michael Sedlmair, Univ of Stuttgart, Germany Thibault Sellam, Columbia Univ, USA Bettina Speckmann, Eindhoven Univ of Technology, Netherlands Kostas Stefanidis, Univ of Tampere, Finland Cagatay Turkay, Univ of Warwick, UK Panos Vassiliadis, Univ of Ioannina, Greece Junpeng Wang, Visa Research Chaoli Wang, Univ of Notre Dame, USA Panpan Xu, Bosch Research Kai Xu, Middlesex Univ, UK Hongfeng Yu, Univ of Nebraska-Lincoln, USA

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Call for interns | NASA Science and Robotics Visualization
by Scott Davidoff 24 Dec '19

24 Dec '19

Come visualize planetary science and robotics data with the NASA JPL / Caltech / Art Center visualization internship, a multi-disciplinary program for computer scientists, designers and artists. Students will develop creative interactive visualization tools for scientific research/engineering groups selected from a broad set of areas at JPL and Caltech. Working in multidisciplinary teams, students will use methods from User-Centered Design, computing, 3D graphics and interaction design to visualize real data sets that support active scientific research. They will receive mentorship in visualization, computing and design from program co-organizers Hillary Mushkin (Caltech), Scott Davidoff (JPL) and Maggie Hendrie (Art Center) as well as Santiago Lombeyda (Caltech). Students will work closely with scientific or engineering researchers to understand their research and data, identify their visualization needs and determine the relevance of design iterations to their research and data. This should be a good opportunity for students interested in data visualization techniques and real world problems who want to gain experience crossing disciplinary boundaries WHEN June 15 - August 20, 2019 (to be confirmed) WHERE Pasadena, California PAY $6.3K undergrad, $8.3K grad ELIGIBILITY Applicants must be continuing students. Students graduating before fall 2020 are not eligible to apply. STUDENTS MUST BE US CITIZENS OR PERMANENT RESIDENTS. GPA must be >= 3.0 APPLICATIONS | via email to datavis(a)caltech.edu <mailto:datavis@caltech.edu>; including CV (+Portfolio if relevant) and answers to the following: 1. Why do you want to work in visualization? 2. What visualization experience do you have? 3. What example of visualization do you particularly find inspiring and why? or what example of visualization do you find misleading or ineffective and how would you propose fixing it? DEADLINE | Accepting applications now, until the positions are filled. Questions? Email datavis(a)caltech.edu <mailto:datavis@caltech.edu> Scott Davidoff Senior Manager, Human Interfaces NASA Jet Propulsion Lab datavis.caltech.edu <http://datavis.caltech.edu/>

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BioVis - CfP for Symposium on Biological Data Visualization at ISMB, Montréal, Canada
by Fritz Lekschas 23 Dec '19

23 Dec '19

========================= Call for Participation for Symposium on Biological Data Visualization (BioVis) ========================= BioVis will be held as a one-day Community of Special Interest (COSI) event at ISMB 2020 July 12-16, 2020 Montréal, Canada http://biovis.net/ <http://biovis.net/> https://twitter.com/biovis_net <https://twitter.com/biovis_net> ========================= We invite submissions of contributions to the BioVis Symposium in various formats on all aspects of data visualization in biology, from molecular to cell, tissue, organism and population biology. For detailed information including submission instructions please refer to the full CfP at http://biovis.net/2020/cfp_ismb <http://biovis.net/2020/cfp_ismb> 1. ISMB Proceedings ---------------------------- Novel, unpublished work can be submitted as a paper to the ISMB Proceedings. Accepted submissions will be published in the OUP Journal Bioinformatics (http://bioinformatics.oxfordjournals.org/ <http://bioinformatics.oxfordjournals.org/>, impact factor 7.3) and presented orally at BioVis. Submission Deadline: January 30, 2020 2. Talks ---------------------------- Participants are encouraged to submit short abstracts highlighting previously published work, or long abstracts discussing unpublished work. Accepted talks will be presented orally at BioVis. Submission Deadline: Early April, 2020 3. Posters and demos ---------------------------- We invite participants to submit work in progress and preliminary results, previously published work from other venues, and visualization challenges to be presented as a poster or interactive demo. A selection of these will be invited to give a short talk during the conference. Submission Deadline: Early April, 2020 Best regards, Organization committee of BioVis 2020

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Open Position: Independent Junior Research Group Leader in Computer Science for the Cluster of Excellence IntCDC (f/m/d)
by Daniel Weiskopf 20 Dec '19

20 Dec '19

The Cluster of Excellence EXC 2120 on "Integrative Computational Design and Construction for Architecture" (IntCDC) at the University of Stuttgart invites applications for the position of a *** Independent Junior Research Group Leader in Computer Science for the Cluster of Excellence IntCDC (f/m/d) *** EXC 2120 was newly established in 2019, with an initial funding period of seven years. A Cluster of Excellence is the most significant and substantial grant funded by the German Research Foundation (DFG). For the first time, a Cluster of Excellence has been awarded to the field of architecture, bringing together a world-leading interdisciplinary team of researchers from seven faculties of the University of Stuttgart and the Max Planck Institute for Intelligent Systems. To complement our research activities, we are seeking a highly motivated young scientist with an outstanding early-career track record and substantial international research experience in fields related to the aims of the cluster. A successful candidate should have a PhD degree in computer science or a similar area, and profound experience in one or more of the following or related topics: * Human-computer interaction or human-robot interaction, in particular, for digital fabrication * Augmented reality and mixed reality, especially, in the context of engineering domains * Visualization and visual analytics, machine learning for visual data science * Computer vision or robot perception * Computational approaches for architecture and the building industry A successful candidate will combine above computer science research with the application-oriented research on methods that support digitization in architecture and the building industry. This research-focused position will lead a new Independent Junior Research Group within Research Unit IV (Computer Science and Robotics) of the Cluster of Excellence IntCDC. The establishment of a competitive research program is expected. The Research Group is expected to collaborate actively with the IntCDC partners at the University of Stuttgart and the Max Planck Institute for Intelligent Systems. The Research Group is funded for up to three years, including the Group Leader position (TV-L E14), funds for PhD projects, as well as startup and annual budgets. The Research Group will be embedded into the Visualization Research Center (VISUS) at the University of Stuttgart and benefit from the support structures of VISUS and IntCDC, including access to several specific labs. * More information on the Cluster of Excellence IntCDC: https://www.intcdc.uni-stuttgart.de/ * More information on VISUS: https://www.visus.uni-stuttgart.de/ Please send your application (cover and motivation letter, academic CV, list of publications, description of past and future research activities (approximately three pages), degree certificates and transcripts of records from Bachelor/Master/PhD degrees) in a single PDF file (up to 10 MB) to jobs(a)visus.uni-stuttgart.de. Three reference letters should be submitted by the referees directly to jobs(a)visus.uni-stuttgart.de. The closing date for applications is February 7, 2020. Inquiries should be sent to daniel.weiskopf(a)visus.uni-stuttgart.de. The University of Stuttgart is an equal opportunity employer. Applications by women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications. The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit the website https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/. Information on how the University protects personal data in accordance with Article 13 of the GDPR can be found via the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/.

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Call for Posters: IEEE VR 2020 the 27th IEEE Conference on Virtual Reality and 3D User Interfaces
by Isaac Cho 16 Dec '19

16 Dec '19

Apologies for cross-posting. Call for Posters IEEE VR 2020: the 27th IEEE Conference on Virtual Reality and 3D User Interfaces March 22-26, 2020, Atlanta, USA http://ieeevr.org/2020/ Important Dates * January 6, 2020: Two-page summary and optional material submission * January 26, 2020: Notification of results * February 9, 2020: Camera-ready material submission (to be published in conference proceedings) Each deadline is 23:59:59 AoE (Anywhere on Earth) == GMT/UTC-12:00 on the stated day, no matter where the submitter is located. Overview The 27th IEEE Conference on Virtual Reality and 3D User Interfaces 2020 seeks poster submissions, which describe recently completed work, highly relevant results of work in progress, or successful systems and applications, in all areas related to virtual reality, including augmented reality (AR), mixed reality (MR), and 3D user interfaces. Presenting a poster is a great way to get feedback on work that has not yet been published. Poster presentations will be an integral part of the conference, with sessions for interactive discussion between presenters and attendees for at least two days, plus a fast-forward presentation track where authors can orally present a brief summary of their work to all conference attendees. Note that, in order to maintain interactive and exciting poster presentations, we require at least one presenter per accepted poster to attend the conference. Submission Guidelines Poster submissions must be in English and anonymous. The submission must be in the form of a two-page summary paper with a maximum 100-word abstract. Supplemental material, such as a poster draft or videos may be submitted as well, but are not mandatory. All submitted materials must be in PDF format with embedded fonts. Two-page paper will be included in the proceedings and will be archived in the IEEE Digital Library, and therefore must be formatted using the IEEE Computer Society format described at http://junctionpublishing.org/vgtc/Tasks/camera.html. Poster papers must be submitted through a special poster slot available at the online submission site (https://new.precisionconference.com/submissions) Supplemental materials can be uploaded to the submission site as well. Poster drafts and final posters should be in portrait format with a maximum size given by the A0 standard (841 x 1189 mm; or 33.1 x 46.8 in). Contacts For more information, please contact the Posters Chairs: * Isaac Cho, North Carolina A&T State University, USA * Leila Aflatoony, Georgia Institute of Technology, USA * Maribeth Grandy, Georgia Institute of Technology, USA * Elham Ebrahimi, University of North Carolina Wilmington, USA posters2020 [at] ieeevr.org Isaac Cho, Ph.D. Assistant Professor, Computer Science The North Carolina A & T State University 1601 E Market Street, Greensboro, NC 27411 Tel: 336-285-3700 | Office: 502 McNair Hall ------- NOTICE: This e-mail correspondence is subject to Public Records Law and may be disclosed to third parties. --------

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Call for Papers for CHI Workshop on Immersive Analytics: Envisioning Future Productivity for Immersive Analytics
by benjamin bach 12 Dec '19

12 Dec '19

Dear All, We are now looking for submissions for our CHI Workshop on Immersive Analytics: Envisioning Future Productivity for Immersive Analytics at CHI 2020, Honolulu, Hawai'i April 24 - 30. Web: http://immersiveanalytics.io <http://immersiveanalytics.io/> Tweet (to re-tweet): https://twitter.com/benjbach/status/1205036893676589057?s=20 Please, distribute widely. Thanks! Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, Wesley Willet. ——————— Immersive technologies have opened many opportunities for communities in HCI, visual analytics, data visualisation, and other related research areas. However, despite an emerging focus on immersive analytics research, there is currently a lack of coherent and broadly applicable visualisation and interaction designs in order to make immersive analytics systems productive and usable in real world scenarios. In this workshop, we aim to identify a road-map towards productive user interfaces for immersive analytics. In particular we aim to understand how we can effectively support specific visualisation and analytics tasks in VR/AR, and identify the interactions needed to support these. Our goal is to catalyse the research community and lead toward a reference paper to inform future research. Previous IA workshops: 2016 (ACM ISS) <https://groups.inf.ed.ac.uk/vishub/immersiveanalytics/archive/iss2016/>, 2017 (IEEE VIS) <https://aviz.fr/~bbach/immersiveanalytics/>, 2019 (ACM CHI) <https://ialab.it.monash.edu/2019/01/chi-2019-workshop-on-immersive-analytic…> Call for papers Over the last several years, a growing Immersive Analytics research community has produced a number of system prototypes, user studies, use cases, and toolkits that show the potential of immersive technologies to promote human data understanding. It is now time to take a step back to define a broader road map that will help move forward toward truly productive interfaces envisioned by the community at large. This workshop will aim to identify the key productivity challenges for data-centric, immersive systems. Through a series of engaging, interlinked group activities, participants will identify future challenges, which will be documented as a reference for future collaborations. We invite the submission of 2-6 page position papers that address key challenges related to productive user interfaces for immersive analytics, for instance: New UI paradigms Adapting existing productivity applications to immersive environments Embodied interaction and multimodal input Collaborative analytics Situated and spatial visualisation and analytics Prototyping tools and techniques for AR/VR Best practices for spatial interaction and prototyping Evaluation methods for immersive systems Social acceptability of interaction with immersive platforms Human factors including awareness, distraction, and cognitive load Multimodal input Users and scenarios Workflows and contexts Papers should be formatted in the CHI extended abstracts format and submitted via the workshop website. Accepted papers will be chosen based on their potential for contributing to discussions and distributed to participants prior to the workshop. At least one author of each accepted position paper must attend the workshop and must register for both the workshop and for at least one day of the conference. More information is available on the workshop website: http://immersive-analytics.com Location The workshop is part of CHI 2020 in Honolulu, Hawaii, USA. See the official CHI website <https://chi2020.acm.org/for-attendees/> for travel information. Information about the room will be posted here. Attendance and Submissions To attend the workshop, a participant has to Submit a successful submission (details just below), and pay the CHI workshop fee (more information soon available through the conference: https://chi2020.acm.org/for-attendees/registration <https://chi2019.acm.org/for-attendees/registration>) Format: CHI extended abstract <http://chi2019.acm.org/authors/chi-proceedings-format/#TOC-CHI-Extended-Abs…>, up to 2-8 pages total, single blind Submission: email your PDF to: productiveia(a)gmail.com <mailto:productiveia@gmail.com> Deadline: 11 February 2020 Notification: February 28, 2020 Submission Types We strongly encourage to submit position papers that will contribute to the discussion, and touch on one of the above topics related to productivity. Alternatively we also encourage people to submit other types of submissions, including Demos, prototypes, concepts Visions and scenarios Case studies Surveys and methods etc … Organizers Barrett Ens <http://www.google.com/url?q=http%3A%2F%2Fmarvl.infotech.monash.edu%2Fmember…>, Monash University, VIC Benjamin Bach <http://www.google.com/url?q=http%3A%2F%2Fbenjbach.me%2F&sa=D&sntz=1&usg=AFQ…>, University of Edinburgh, UK Maxime Cordeil <https://www.google.com/url?q=https%3A%2F%2Fialab.it.monash.edu%2Fmembers%2F…>, Monash University, VIC Ulrich Engelke <https://www.google.com/url?q=https%3A%2F%2Fpeople.csiro.au%2FE%2FU%2FUlrich…>, CSIRO, Data61 Marcos Serrano <http://www.google.com/url?q=http%3A%2F%2Fwww.marcanudo.com%2F&sa=D&sntz=1&u…>, IRIT, University of Toulouse, FR Wesley Willett <http://www.google.com/url?q=http%3A%2F%2Fdataexperience.cpsc.ucalgary.ca%2F…>, University of Calgary, AB benjamin

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PostDoc position in data science, Univ. of Bergen, Norway
by Helwig Hauser 11 Dec '19

11 Dec '19

At our Center for Data Science (CEDAS), University of Bergen, Norway, we have announced =============== a new PostDoc position in Data Science ============== ### four years position (25% teaching etc.) ### possible research topics include == multivariate algorithmics, == structure-aware visual data science, == semi-automatic topological data analysis of high-dimensional data, == as well as others that fit into CEDAS ### welcome background includes == visual data science, == machine learning, == topological data analysis, == and algorithmics research. ### you can apply, if you finish your PhD until June 1, 2020 ### application deadline is Jan 27, 2020 ### full announcement: https://www.jobbnorge.no/en/available-jobs/job/179374/postdoctoral-research… ### inquiries to Helwig.Hauser(a)UiB.no -- Dr. Helwig Hauser, Professor in Visualization; http://vis.UiB.no Leader of CEDAS (Center for Data Science); http://UiB.no/en/cedas Office: Høyteknologisenteret, room 311O2, http://bit.ly/2oazz0B Mailing address: Dept. of Informatics, Univ. of Bergen, Postboks 7803, N-5020 Bergen, Norway

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Postdoc position in Immersive Analytics in France (6 months from Jan/March 2020)
by Yannick Prié 09 Dec '19

09 Dec '19

A postdoctoral position in Immersive Analytics is opened in Nantes, France. More information below. Please share! Y. ——————————— http://yannickprie.net/openings/news/ia-postdoc/ Description The postdoctoral researcher will extend the work we have been carrying on how to visualize and interact with 3D scatterplots in Virtual Reality (see references below). His/her first task is to develop an experiment that aims to compare two types of data immersion. Other tasks and research directions will depend on his/her personal interest. Dates Around 6 months, beginning from January to March, ending no later than October 2020. Environment The lab is located in the vibrant city of Nantes (https://en.nantes.fr/home.html) close to the beautiful Atlantic coast of South Brittany. Nantes has been named the 2019 European Capital of Innovation. Benefits Net monthly salary > 2000€, depending on experience. Supervision Pr. Yannick Prié Candidate: PhD in Data Visualization or HCI with a strong interest for immersive technologies and experience in formal evaluation. Good written and oral communication skills. Contact Send CV + motivation + references to yannick.prie(a)univ-nantes.fr Applications will be considered until the position is filled. References (see http://yannickprie.net/publications/) - Survey of Immersive Analytics (2019) Adrien Fonnet, Yannick Prié. in IEEE Transactions on Visualization and Computer Graphics, 22 pp. - Prototyping Immersive Analytics: Experiments with Design Students (2019) Adrien Fonnet, Grégoire Cliquet, Yannick Prié. in Workshop on Immersive Analytics “Interaction Design and Prototyping for Immersive Analytics” at CHI 2019, Glasgow, UK, May 2019. - Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data (2018) Adrien Fonnet, Toinon Vigier, Grégoire Cliquet, Fabien Picarougne, Yannick Prié. in 4th International Symposium on Big Data Visual and Immersive Analytics BDVA 2018, Konstanz, Germany, October 2018. - Immersive Data Exploration and Analysis (2018) Adrien Fonnet, Florian Melki, Yannick Prié, Fabien Picarougne, Grégoire Cliquet. in Student Interaction Design Research conference, May 2018, Helsinki, Finland. - Towards HMD-based Immersive Analytics (2017) Grégoire Cliquet, Matthieu Perreira, Fabien Picarougne, Yannick Prié, Toinon Vigier. in Immersive analytics Workshop, IEEE VIS 2017, Phoenix, Arizona, United States. -- Yannick Prié - Professor of Computer Science Master "Cultures Numériques" / "Digital cultures" Master’s program LS2N UMR 6004 CNRS - Polytech - University of Nantes yannick.prie(a)univ-nantes.fr - http://yannickprie.net/ - @yprie - (+33)240683248

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CDS Moore-Sloan Faculty Fellow
by Claudio Silva 07 Dec '19

07 Dec '19

The Center for Data Science (CDS) at New York University (NYU) invites applications for its highly prestigious CDS Moore-Sloan Faculty Fellow <https://cds.nyu.edu/our-people/research-engineers-fellows-and-postdocs/> positions. Building on the success of the Moore-Sloan Fellows program, CDS has created a Faculty Fellow program to continue to develop outstanding researchers in Data Science. Alumni of the distinguished Moore-Sloan Fellowship program have secured top-level academic positions or industry jobs. CDS currently has up to 5 Faculty Fellowship positions available. Given the prestigious nature of the position, we offer a generous compensation package, funds to support research and travel, and will aim to offer access to NYU faculty housing. Review of applications will start in December 2019, and the extension of fellowship offers will begin in February 2020. Description: CDS is the focal point for NYU’s university-wide initiative in data science and statistics, established 6 years ago, and one of the country’s leading data science research and training facilities. CDS is a vibrant space with 16 jointly appointed faculty (growing to over 20 in the next two years) and 11 associated faculty across computer science, mathematics, engineering, neuroscience, linguistics, politics, psychology, physics, biology and business; a list of affiliate faculty spanning a wide range of NYU’s schools and departments, a highly successful Master’s program and one of the first Data Science PhD programs as well as the new undergraduate program in data science. CDS’ research focuses on tools and methods at the intersection between applied mathematics, data science, high-dimensional statistics, machine learning, optimization, and several data-driven application areas. The CDS & Moore Sloan Faculty Fellow will be expected to work at the boundaries between the data-science methods and domain sciences. They are also encouraged to develop collaborations with faculty at CDS and NYU. They will lead independent, original research programs with impact in one or more scientific domains and in one or more methodological domains (computer science, statistics, and applied mathematics). We seek outstanding interdisciplinary researchers with expertise in the methods of data science possibly with application in physical, life, or social science. The program recognizes that rapid advances in our ability to acquire and generate data are transforming all fields of discovery from data-poor to data-rich. A significant bottleneck to discovery is our ability to perform inference over heterogeneous, noisy, and often massive datasets. Successful candidates will bring a research agenda that can take advantage of the unique intellectual opportunities afforded by NYU, and will have experience in working with researchers across different fields. This is a full-time non-tenure position, with a light teaching load of one (1) CDS course per year as the primary instructor. You will also be expected to participate in service activities of the Center for Data Science (such as helping review admissions applications, committee work, etc.). Appointments will be for two years, with potential for a 1-year re-appointment pending satisfactory review and funding. Fellows will be offered competitive salary and benefits, with funds to support research and travel. A start date of September 1, 2020 is the date envisaged. How to apply: Applicants must possess a doctorate degree. Please submit your curriculum vitae, a list of publications, and a brief statement of research interests (no longer than 4 pages) via our Interfolio application page <https://apply.interfolio.com/69112>. The statement of research interests should mention the names of one or more faculty members associated with the NYU Center for Data Science who would have substantial intellectual overlap with the applicant’s interests and likely program of research. More information about relevant faculty members can be found at https://cds.nyu.edu/our-people. Applicants should also arrange to have three letters of recommendation (to be submitted by the reference writers) by this date. Applications received by December 23, 2019 will receive full consideration. Any questions may be directed to our Director of Administration and Operations, Remi Moss who can be reached at: remimoss(a)nyu.edu <https://cds.nyu.edu/facultyfellows/remimoss@nyu.edu>.

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[2nd CFP] Big Data Visual Exploration & Analytics workshop (BigVis 2020) @ EDBT 2020 Copenhagen
by Nikos Bikakis 07 Dec '19

07 Dec '19

Call for Papers BigVis 2020: 3rd International Workshop on Big Data Visual Exploration and Analytics https://bigvis.imsi.athenarc.gr/bigvis2020 March 30, 2020, Copenhagen, Denmark Held in conjunction with the 23rd Intl. Conference on Extending Database Technology & 23rd Intl. Conference on Database Theory (EDBT/ICDT 2020) Information Visualization is nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part. Thus, the area of data visualization, visual exploration and analysis has gained great attention recently, calling for joint action from different research areas from the HCI, Computer graphics and Data management and mining communities. In this respect, several traditional problems from these communities such as efficient data storage, querying & indexing for enabling visual analytics, new ways for visual presentation of massive data, efficient interaction and personalization techniques that can fit to different user needs are revisited. The modern exploration and visualization systems should nowadays offer scalable techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms for information abstraction, sampling and summarization for addressing problems related to visual information over-plotting. Further, they must encourage user comprehension offering customization capabilities to different user-defined exploration scenarios and preferences according to the analysis needs. Overall, the challenge is to offer self-service visual analytics, i.e. enable data scientists and business analysts to visually gain value and insights out of the d! ata as repidly as possible, minimizing the role of IT-expert in the loop. The BigVis workshop aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss, exchange, and disseminate their work. BigVis attempts to attract attention from the research areas of Data Management & Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities. Workshop Topics ------------------------------------ In the context of visual exploration and analytics, topics of interest include, but are not limited to: - Visualization, exploration & analytics techniques for various data types; e.g., stream, spatial, high-dimensional, graph - Human-in-the-loop processing - Human-centered databases - Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications - Interactive machine learning - Interactive data mining - User-oriented visualization; e.g., recommendation, assistance, personalization - Visualization & knowledge; e.g., storytelling - Progressive analytics - In-situ visual exploration & analytics - Novel interface & interaction paradigms - Visual representation techniques; e.g., aggregation, sampling, multi-level, filtering - Scalable visual operations; e.g., zooming, panning, linking, brushing - Scientific visualization; e.g., volume visualization - Analytics in the fields of scholarly data, digital libraries, multimedia, scientific data, social data, etc. - Immersive visualization - Interactive computer graphics - Setting-oriented visualization; e.g., display resolution/size, smart phones, visualization over networks - High performance, distributed & parallel techniques - Visualization hardware & acceleration techniques - Linked Data & ontologies visualization - Benchmarks for data visualization & analytics - Case & user studies - Systems & tools Submissions ------------------------------------ Regular/Short Research papers [up to 8/4 pages] Work-in-progress papers [up to 4 pages] Vision papers [up to 4 pages] System papers and Demos [up to 4 pages] Important Dates ------------------------------------ Submission: January 5, 2020 Notification: January 24, 2020 Camera-ready: January 29, 2020 Workshop: March 30, 2020 Organizing Committee ------------------------------------ David Auber, University Bordeaux, France Nikos Bikakis, University of Ioannina, Greece Panos K. Chrysanthis, University of Pittsburgh, USA George Papastefanatos, ATHENA Research Center, Greece Mohamed Sharaf, United Arab Emirates University, UAE Special Issue ------------------------------------ Extended versions of the best papers of BigVis 2020 will be invited for submission in the Special Issue "Interactive Big Data Visualization and Analytics" of the "Big Data Research Journal", Elsevier (IF: 2.95) Program Committee ------------------------------------ James Abello, Rutgers Univ, USA Demosthenes Akoumianakis, Hellenic Mediterranean Univ, Greece Gennady Andrienko, Fraunhofer, Germany Rick Cole, Tableau Alfredo Cuzzocrea, ICAR-CNR & Univ of Calabria, Italy Danyel Fisher, Honeycomb.io Steffen Frey, Univ of Stuttgart, Germany Giorgos Giannopoulos, ATHENA Research Center, Greece Parke Godfrey, Univ of York, Canada Michael Gubanov, Univ of Texas at San Antonio, USA Silu Huang, Microsoft Christophe Hurter, Ecole Nationale de l’Aviation Civile, France Vana Kalogeraki, Athens Univ of Economics & Business, Greece Eser Kandogan, IBM James Klosowski, AT&T Research Manolis Koubarakis, University of Athens, Greece Zhicheng Liu, Adobe Steffen Lohmann, Fraunhofer, Germany Ioana Manolescu, INRIA & Ecole Polytechnique, France Marios Meimaris, ATHENA Research Center, Greece Silvia Miksch, Vienna Univ of Technology, Austria Davide Mottin, Hasso Plattner Institute, Germany Martin Nöllenburg, Vienna Univ of Technology, Austria Olga Papaemmanouil, Brandeis Univ, USA Paul Parsons, Purdue Univ, USA Laura Po, Unimore, Italy Giuseppe Polese, Univ of Salerno, Italy Alexander Rind, St. Pölten Univ of Applied Sciences, Austria Gerik Scheuermann, Univ of Leipzig, Germany Hans-Jörg Schulz, Aarhus Univ, Denmark Heidrun Schumann, Univ of Rostock, Germany Michael Sedlmair, Univ of Stuttgart, Germany Thibault Sellam, Columbia Univ, USA Bettina Speckmann, Eindhoven Univ of Technology, Netherlands Kostas Stefanidis, Univ of Tampere, Finland Cagatay Turkay, Univ of Warwick, UK Panos Vassiliadis, Univ of Ioannina, Greece Junpeng Wang, Visa Research Chaoli Wang, Univ of Notre Dame, USA Panpan Xu, Bosch Research Kai Xu, Middlesex Univ, UK Hongfeng Yu, Univ of Nebraska-Lincoln, USA

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