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Research Associate in UX Design for Game-Based Learning
by Jonathan Hook 15 Nov '19

15 Nov '19

== Research Associate in UX Design for Game-Based Learning == https://www.jobs.ac.uk/job/BWC043/research-associate-in-ux-design-for-game-… <https://www.jobs.ac.uk/job/BWC043/research-associate-in-ux-design-for-game-…> Digital Creativity Labs (DC Labs) has an opening for a Research Associate to explore playful games as tools for learning, with a particular focus on teaching data literacy: interpreting graphs, understanding statistics concepts, identifying patterns in large data sets, finding appropriate data visualisations, etc. We are seeking a highly motivated individual with experience in UX and/or game design with an appetite to apply gaming metaphors to the development of learning tools for data literacy. You will conduct the research element of this project looking at novel interactive experiences that exploit the “consumption” of data by esports and data rich physical sports followers. You will design, prototype and evaluate interactive experiences that engage learners in data analysis. You will have the excellent opportunity to work closely with the National STEM Learning Centre at York (https://www.ncetm.org.uk/) and WEAVR (http://weavr.tv/) a £5.8m flagship project that is developing new ways of consuming data and experiencing esports. Specific duties will include: analysis and interpretation of research data; writing up of research results and dissemination through publications, seminar and conference presentations and public engagement and outreach activities; contributing to the identification of possible new areas of research. You will have a PhD in Computer Science, Human-Computer Interaction, Design, Data Science or other domain relevant to the position or equivalent experience, a record of excellent research, reflected in high quality publications and will bring an appetite for innovation across discipline boundaries and application domains. You will have proven game and/or user experience design skills accompanied by good programming skills (e.g. C, C++, C#, Python, Java, Unity). You will have the opportunity to develop your career in the lively and stimulating environment of Digital Creativity Labs. Digital Creativity Labs is a world centre of excellence for impact-driven research in digital creativity, focusing on digital games, interactive media and the rich space in which they converge. It brings together researchers from the University of York’s departments of Computer Science, TFTI, Archaeology, Sociology, Electronics, Education, and Psychology, working alongside over 80 external partners and three other Universities. The DC Labs team consists of more than 15 leading researchers who co-create impact-driven research projects along with partners in industry, government, the third sector and members of the public. This post is available on a fixed term basis until 30 September 2021.

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ETRA 2020 Call for Paper Submissions
by Daniel Weiskopf 14 Nov '19

14 Nov '19

*** 2020 ACM ETRA Call for Paper Submissions *** https://etra.acm.org/2020 The 2020 ACM Symposium on Eye Tracking Research & Applications (ETRA) will be held in Stuttgart, Germany, June 2-5, 2020. ETRA will gather computer scientists, engineers, and behavioral scientists with the common goal of continuing to move eye tracking research forward. Under the motto "Bridging Communities", ACM ETRA 2020 aims to bring together eye tracking researchers from computer science, psychology, and cognitive science. Therefore, we encourage paper submissions from fields ranging from computer science to psychology and cognition. The full CFP is available online: https://etra.acm.org/2020/cfp.html Important dates for Full Papers (up to 8 pages and any number of additional pages for references): * Dec 1, 2019: Abstract submission (mandatory) * Dec 9, 2019: Full paper submission * Feb 14, 2020: First round reviews and notification * March 6, 2020: Revisions due * March 23, 2020: Second round reviews and notification * April 2, 2020: Camera ready deadline Important dates for Short Papers (2-4 pages and any number of additional pages for references): * Feb 3, 2020: Paper submission * March 19, 2020: Reviews and notification (first and only round) * April 2, 2020: Camera ready deadline The accepted Full Papers will be published by ACM in the "ETRA Full Papers Proceedings" and the accepted Short Papers will be published by ACM in the "ETRA Short Papers Proceedings". Sincerely, Eakta Jain (University of Florida), Ralph Radach (University of Wuppertal), Daniel Weiskopf (University of Stuttgart) - Technical Program Chairs, ACM ETRA 2020 -

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Call for Paper: [Computers]: Special Issue "Simulation, Imaging and Modelling for Biomedical Systems" (Scopus, ESCI, 50% discount, Deadline Approaching)
by Blink Yu 14 Nov '19

14 Nov '19

[Apologies if you receive multiple copies of this message] ==================================== Special Issue "Simulation, Imaging and Modelling for Biomedical Systems" Deadline for manuscript submissions: 15 December 2019 Guest Editor: Dr. Elena Casiraghi and Dr. Barbara Barricelli Department of Computer Science; Università degli Studi di Milano, Italy Website: https://www.mdpi.com/journal/computers/special_issues/SIM_BS ===================================== Dear Colleagues, Over the past decades, a continuous increase in computational power, together with substantial advances in the digital image processing and pattern recognition fields, has motivated the development of computer-aided diagnostic (CAD) systems, augmented and virtual reality applications for surgical planning and simulation, and digital-twin applications for healthcare. Thanks to their effective, precise, and repeatable results, validated CAD systems are nowadays exploited as a valid aid during diagnostic procedures. Surgical simulation applications have become an essential part of surgical procedures as well as training, while research on the development of digital-twin applications in healthcare is continuously increasing, to deliver significant societal and health benefits. Similar important advances in the field of microscopy image analysis have been motivated by the advent of digital microscopes producing high-resolution digital images. Indeed, in the past thirty years the development of computerized systems that have helped pathologists in their analysis of images obtained by fluorescence, histochemical, and immunohistochemical labeling has become a main research focus for computer scientists and clinicians. State-of-the-art automatic microscopy image analysis systems automatically identify biological structures of interest and then try to reproduce the evaluation and quantification performed by expert pathologists and clinicians. These tools are much appreciated in the field for their potential to minimize the inherent subjectivity of manual analysis and to largely reduce the workload of clinicians via high-throughput analysis. This Special Issue intends to provide a comprehensive overview of recent, theoretical, and/or practical advances and new trends in biomedical/microscopy image enhancement and analysis, vision modelling, and general physiological models applied to biomedical/microscopy image processing and advanced visualization methods and devices, and to discuss their applications in the biological and medical fields. Keywords: BioMedical/microscopy image enhancement Biomedical/microscopy image quality assessment Biomedical/microscopy image analysis Computational approaches for citology and histology Computer-aided diagnosis Neuro imaging BioMedical/microscopy image databases Machine learning and artificial intelligence Image segmentation, registration, and fusion Interventional imaging systems Image-guided interventions and surgery Surgical and interventional simulation systems Interventional tracking and navigation Surgical planning and simulation Surgical visualization and mixed, augmented and virtual reality Digital twins and end-user development in biomedicine Interventional software and user interfaces Physiological models Dr. Elena Casiraghi Dr. Barbara Barricelli Guest Editors -- Mr. Blink Yu Managing Editor E-Mail: blink.yu(a)mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

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Job | Assistant/Associate Professors in Information and Computing Sciences (Tenure Track 0.8 - 1.0 FTE) | Application Deadline Dec 1st, 2019
by Behrisch, M. (Michael) 13 Nov '19

13 Nov '19

Assistant/Associate Professors in Information and Computing Sciences (Tenure Track 0.8 - 1.0 FTE) Department of Information and Computing Science, University of Utrecht, the Netherlands Job description Due to our successful educational programmes and our ambitions in research, the Department of Information and Computing Sciences is expanding. We are searching for three or more motivated and committed female Assistant/Associate Professors in Information and Computing Sciences. The levels of the positions offered will vary, depending on experience and expertise. You have a background in Computing and Information Sciences, preferably in the areas of Algorithms, Computer Science Education, Process Management and Analytics, Information Science, Artificial Intelligence, and Data Science and Software. This includes research interest in all directions connected to visualization (scientific visualization, information visualization, graph visualization, visual analytics, visualization for machine learning). You possess a proven commitment and talent for research. As teaching is an essential part of the work, we are searching for people with a demonstrable motivation to teach. Our approach is characterized by a connected, open and can-do spirit that stimulates personal initiative and curiosity. You are encouraged to take ownership and create value while sharing your knowledge both internally and across the wider (global) community. In order to start up your research you will be assisted by a PhD candidate funded by the Department. Qualifications • a PhD in Computer Science, Information Science or another relevant discipline; • publications with impact, in international conferences and journals; • experience with or good prospects for acquiring external research funds; • vision on future research directions in own area of expertise; • experience with or readiness to supervise PhD projects; • active role in international scientific communities; The Department finds gender balance specifically and diversity in a broader sense very important. Under European jurisdiction it is permitted to specifically recruit underrepresented groups. Offer We offer a position (0.8 - 1.0 FTE) in an international working environment and meant to be tenured upon good performance. The gross salary ranges between €3,255 and €5,656 per month for a full-time employment, and a holiday bonus of 8% and a year-end bonus of 8.3% per year. Utrecht University offers excellent secondary conditions, including an attractive retirement scheme, (partly paid) parental leave and flexible employment conditions (multiple choice model). How to apply The application is available at https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs From that page, scroll the list of job openings, and click the one entitled "Assistant/Associate Professors in Information and Computing Sciences (Tenure Track 0.8 - 1.0 FTE)" (posted on 16/10/2019) The application deadline is Dec 1st, 2019. Additional information For more information concerning candidates interested in visualization, please contact prof. dr. Alex Telea (a.c.telea(a)uu.nl<mailto:a.c.telea@uu.nl>) dr. Michael Behrisch (m.behrisch(a)uu.nl<mailto:m.behrisch@uu.nl>) ======= prof. dr. A. C. Telea Dept. of Information and Computing Science, Utrecht University, the Netherlands e-mail: a.c.telea(a)uu.nl<mailto:a.c.telea@uu.nl> web: http://www.staff.science.uu.nl/~telea001/

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[IV2020] 12th International Symposium Visual Analytics and Data Science
by Nazemi, Kawa, Prof. Dr. 11 Nov '19

11 Nov '19

IV2020-VA 12th International Symposium Visual Analytics and Data Science 28 - 31 July 2020 Technische Universität Wien - TU Wien ● Vienna ● Austria http://www.graphicslink.co.uk/IV2020/index-at.html submission portal: https://www.conftool.org/IV-austria-2020/ 24 – 27 November 2020 Victoria University ● Melbourne ● Australia http://www.graphicslink.co.uk/IV2020/index-au.html submission portal: https://www.conftool.org/IV-australia-cgiv-2020/ ------------------------------------------------------------------------------------------- Call for Papers, Videos and Participation Scope & Theme * Combining visual and computational methods of Data Analysis, Machine Learning and Artificial Intelligence * Visual Analytics models and approaches * Novel Visual Analytics applications * Visual Trend Analytics * Visual Analytics of spatial, temporal, and spatio-temporal data * Knowledge construction and management in Visual Analytics * Guidance in Visual Analytics * Intelligent approaches of Visual Analytics and Data Science * Adaptive Visual Analytics * Cognitive approaches and explanations for Visual Analytics * Visual Analytics for explaining AI * Visualization of Data Mining algorithms * Empirical performance studies * Evaluation of Visual Data Mining methods * Collaborative Visual Analytics and Data Science * Computational steering for long-running Data Mining applications * Reviews and surveys of related literature Supporting Bodies * Research Group on Human-Computer Interaction and Visual Analytics, Darmstadt University of Applied Sciences, Darmstadt, Germany * University of Salerno, Italy ------------------------------------------------------------------------------- Preconference course: Doctoral Research Workshop Researcher Link Forum: Research Project Collaboration Focus Group Publication: Post conference publication ------------------------------------------------------------------------------- Important Dates : Submission of papers & Submission of tutorials: IV2020_Vienna: http://iv.csites.fct.unl.pt/at/call-for-papers/important-dates/ IV2020_Melbourne: http://iv.csites.fct.unl.pt/au/call-for-papers/important-dates/ ============================================Symposium Symposium specific inquiries should be addressed to: Ralf Dörner (Prof.) Wiesbaden University of Applied Sciences, Germany ralf.doerner (@) hs-rm.de Kawa Nazemi (Prof.) Darmstadt University of Applied Sciences, Germany kawa.nazemi (@) h-da.de Loredana Caruccio (Dr.) University of Salerno, Italy Lcaruccio((a))unisa.it Autilia Vitiello (Dr.) University of Naples Federico II, Italy autilia.vitiello((a))unina.it OR All other enquiries and submissions should be addressed to: Conference coordinator GraphicsLink… Conference Co-ordinator 21 The Grove P.O. BOX 29, HATFIELD, AL9 7RL, UK. Tel: +44 1707 - 652 224 Email: iV_CGiV <iV_CGiV(a)graphicslink.co.uk<mailto:iV_CGiV@graphicslink.co.uk>> URL: http://www.graphicslink.co.uk/

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2nd CFP: ACM TiiS Special Issue on Interactive Visual Analytics for Making Explainable and Accountable Decisions -- Deadline: November 17 !!
by Turkay, Cagatay 07 Nov '19

07 Nov '19

Dear colleagues, Please find below the 2nd call for papers for a special issue of ACM Transactions on Interactive Intelligent Systems (TiiS) (https://tiis.acm.org<https://tiis.acm.org/>) on “Interactive Visual Analytics for Making Explainable and Accountable Decisions” as a follow-on from this year’s EuroVA & MLVis workshops at EuroVis 2019. We look forward to your submissions and do not hesitate to contact us on vaxad_acm_tiis(a)googlegroups.com<mailto:vaxad_acm_tiis@googlegroups.com> with any questions. And we should also remind you that less than two weeks left to the deadline!! SI Guest Editors, Cagatay Turkay, Tatiana von Landesberger, Remco Chang, Shixia Liu, Daniel Archambault CALL FOR PAPERS ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Interactive Visual Analytics for Making Explainable and Accountable Decisions Background Due to recent advances in Artificial Intelligence, complex and advanced machine learning models have been developed and used increasingly in making data-driven decisions that have significant impact on science, business, and the wider society. Although effective, the complexity of these models can often make the results difficult to understand, explain, evaluate, and scrutinize. There is therefore a significant demand from governments, businesses, and the wider society for interpretable, explainable and accountable decision-making models and systems. Interactive visual analytics offer great potential in this space by marrying human intelligence with machine power, through, including but not limited to, visual representations of data and interaction techniques, to aid humans in better generating, interpreting, evaluating, and deploying statistical and machine learning models. In this special issue, we will feature cutting-edge research where interactive visual analytics methods are applied together with complex computational methods for making explainable and accountable decisions informed by data. Scope, Description, and More Information This special issue invites submissions that feature original research on designing, developing and evaluating interactive visual analytics methods that empower their users to make explainable and accountable inferences and decisions based on massive amounts of data. A suitable submission must also demonstrate its relevance to TiiS, the premier journal featuring interactive intelligent systems with two distinct characteristics: intelligence and interactivity. In particular, a suitable submission must exhibit or discuss how the resulting approaches, techniques, or systems advance an interactive intelligent system. Interdisciplinary and applied research is especially encouraged. Specific areas of interest include, but are not limited to: * Role of interactive visualization in interpretable and explainable machine learning * Human factors in making decisions with machine learning models * Facilitating algorithmic transparency and accountability through visual analytics * Interactive visualization for supporting non-experts in creating and interpreting complex analysis results * Visual analytics for interactive, informed machine-learning model building * Uncertainty-aware visual analytics for the consideration of inherent uncertainty in data and models * Interactive visual analytics for addressing biases in the data and machine learning models Schedule * Full paper submission deadline: November 17th, 2019 * First author notification: Feb 14th, 2020 * Revised paper due: April 20th, 2020 * Final author notification: May 15th, 2020 * Expected publication: Summer 2020 Guest Editors * Dr. Cagatay Turkay,University of Warwick * Prof. Tatiana von Landesberger,Karlsruhe Institute of Technology * Dr. Remco Chang,Tufts University * Dr. Shixia Liu, Tsinghua University * Dr. Daniel Archambault, Swansea University Check out http://tiis.acm.org/authors.cfm for author information and submission details. For further information, please contact vaxad_acm_tiis(a)googlegroups.com<mailto:vaxad_acm_tiis@googlegroups.com> Online version of the CFP can be found on https://tiis.acm.org/special-issues.cfm

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DIAGRAMS 2020: Call for Workshop and Tutorial Proposals
by Jens Lemanski 05 Nov '19

05 Nov '19

---------------------------------------------------------------------- Call for Workshop Proposals Diagrams 2020 11th International Conference on the Theory and Application of Diagrams http://www.diagrams-conference.org/2020/ Conference dates: 24-28 August 2020 Location: Tallinn, Estonia ---------------------------------------------------------------------- Diagrams is an international interdisciplinary conference series, covering all aspects of research on the theory and application of diagrams. We invite proposals for half-day or full-day workshops. These workshops will be held both before and after the main conference, and take place at the main conference venue. Workshops are expected to address topics that are of interest to the Diagrams 2020 conference attendees. These include, but are not limited to, the following: * applications of diagrams, * computational models of reasoning with, and interpretation of, diagrams, * design of diagrammatic notations, * diagram understanding by humans or machines, * diagram aesthetics and layout, * educational uses of diagrams, * evaluation of diagrammatic notations, * graphical communication and literacy, * heterogeneous notations involving diagrams, * history of diagrammatic notations, * information visualization using diagrams, * nature of diagrams and diagramming, * novel technologies for diagram use, * philosophy of diagrams (see the Philosophy of Diagrams special call), * psychological issues pertaining to diagrams (see the Psychology of Diagrams special call), * reasoning with diagrams, * semiotics of diagrams, * software to support the use of diagrams, and * usability and human-computer interaction issues concerning diagrams. Examples of previous Workshops may provide some inspiration and guidance and can be found at: * http://www.diagrams-conference.org/2018/index.html%3Fp=251.html * http://www.diagrams-conference.org/2016/workshops.html * http://www.diagrams-conference.org/2014/workshops * http://www.diagrams-conference.org/2012/content/workshops.html ---------------------------------------------------------------------- Submission of Workshop Proposals ---------------------------------------------------------------------- A workshop proposal must contain: 1. A single page listing a. the title of the workshop b. the names and contact information for all organizers c. a brief biography of the main organizer 2. A description of the topic and rationale for the workshop, including a brief description of why the workshop will be relevant to Diagrams 2020 conference attendees. 3. A Call for Participation document of up to 500 words that can be used to advertise the workshop on the Diagrams 2020 conference website. Workshop organizers are expected to distribute their call for papers and solicite papers for submission. Workshop organisers must ensure that paper submission deadlines are at least two weeks after those for the main conference. In addition, they are encouraged to set submission deadlines after the notification date for Diagram 2020 papers (i.e. April 24, 2020). They must also notify authors of acceptance before the early registration deadline (late June, 2020). ---------------------------------------------------------------------- How to Submit a Proposal ---------------------------------------------------------------------- Submissions should be made by 10th January via EasyChair: https://easychair.org/conferences/?conf=diagrams2020 ---------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------- Workshop proposal submissions 10 January 2020 Workshop notification 17 January 2020 ---------------------------------------------------------------------- For more information please contact the Diagrams 2020 Workshop and Tutorials Chair Francesco Bellucci, University of Bologna, Italy bellucci dot francesco at googlemail dot com ************************************************************************************* ************************************************************************************* ---------------------------------------------------------------------- Call for Tutorial Proposals Diagrams 2020 11th International Conference on the Theory and Application of Diagrams http://www.diagrams-conference.org/2020/ Conference dates: 24-28 August 2020 Location: Tallinn, Estonia ---------------------------------------------------------------------- Diagrams is an international interdisciplinary conference series, covering all aspects of research on the theory and application of diagrams. We invite proposals for half-day or full-day tutorials. These tutorials will be held both before and after the main conference, and will take place at the main conference venue. Tutorials are expected to address topics that are of interest to the Diagrams 2020 conference attendees. These include, but are not limited to, the following: * applications of diagrams, * computational models of reasoning with, and interpretation of, diagrams, * design of diagrammatic notations, * diagram understanding by humans or machines, * diagram aesthetics and layout, * educational uses of diagrams, * evaluation of diagrammatic notations, * graphical communication and literacy, * heterogeneous notations involving diagrams, * history of diagrammatic notations, * information visualization using diagrams, * nature of diagrams and diagramming, * novel technologies for diagram use, * philosophy of diagrams (see the Philosophy of Diagrams special call), * psychological issues pertaining to diagrams (see the Psychology of Diagrams special call), * reasoning with diagrams, * semiotics of diagrams, * software to support the use of diagrams, and * usability and human-computer interaction issues concerning diagrams. Tutorials differ from workshops in that they do not solicit contributions from attendees. However, attendees have previously particularly enjoyed tutorials that are interactive and spark debate. Examples of previous tutorials may provide some inspiration and guidance and can be found at: * http://www.diagrams-conference.org/2018/index.html%3Fp=320.html * http://www.diagrams-conference.org/2016/workshops.html * http://www.diagrams-conference.org/2014/tutorials * http://www.diagrams-conference.org/2012/content/tutorial.html * http://www.diagrams-conference.org/2010/content/tutorials.html * http://www.diagrams-conference.org/2008/tutorials.php ---------------------------------------------------------------------- Submission of Tutorial Proposals ---------------------------------------------------------------------- A tutorial proposal must contain: 1. A single page listing a. the title of the tutorial b. the names and contact information for all organizers c. a brief biography of the main organizer 2. A description of the topic and rationale for the tutorial, including a brief description of why the tutorial will be relevant to Diagrams 2020 conference attendees. 3. An abstract describing the tutorial of up to 500 words that can be used to advertise the tutorial on the Diagrams 2020 conference website. ---------------------------------------------------------------------- How to Submit a Proposal ---------------------------------------------------------------------- Submissions should be made by February 14th via EasyChair: https://easychair.org/conferences/?conf=diagrams2018 ---------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------- Tutorial proposal submissions 14 February 2020 Tutorial notification 21 February 2020 ---------------------------------------------------------------------- For more information please contact the Diagrams 2020 Workshop and Tutorials Chair Francesco Bellucci, University of Bologna, Italy bellucci dot francesco at googlemail dot com ********************************************************************* ********************************************************************* send by: PD Dr. Jens Lemanski (Publicity Chair: Diagrams 2020) FernUniversität in Hagen Institut für Philosophie LG 1 58084 Hagen, Germany Tel.: 02331/ 987-2364 Homepage <https://www.fernuni-hagen.de/philosophie/lg1/team/jens.lemanski.shtml>

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CFP: BigVis :: 3rd Big Data Visual Exploration & Analytics workshop @ EDBT 2020, Copenhagen
by Nikos Bikakis 04 Nov '19

04 Nov '19

Call for Papers BigVis 2020: 3rd International Workshop on Big Data Visual Exploration and Analytics https://bigvis.imsi.athenarc.gr/bigvis2020 In conjunction with EDBT/ICDT 2020, 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 overplotting. 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 data as rapidly 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 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 a Special Issue 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 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 -- _nikos bikakis

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VIS Summer Camp 202
by Remco Chang 04 Nov '19

04 Nov '19

Hi everyone, Kristi Potter and I are running the VIS Summer Camp again this coming year. VIS Summer Camp is an annual event that promotes a peer support and mentoring group that helps to develop junior faculty without tenure in Northern America whose research area spans visualization. This experience provides a unique mentoring opportunity that complements the available resources to faculty who are starting to navigate the world of academia and aids their transition from graduate school or postdoctoral positions to the next stages of their career. In its 5th year, the VIS Summer Camp has hosted two cohorts of assistant professors in visualization. Continuing the tradition, we are looking to identify and develop the third cohort! A website describing past VIS Summer Camps can be found here: https://vissummercamp.github.io/ If you are interested, or know someone who might be, please feel free to email us (remco(a)cs.tufts.edu) or fill out the form on the website. We will be delighted to hear from you! Remco and Kristi -- Remco Chang Associate Professor Department of Computer Science Tufts University http://www.cs.tufts.edu/~remco (lab) 617-627-6514

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Ph.D. Research Internships at Conversant
by Alan Keahey 29 Oct '19

29 Oct '19

My team is hiring interns for summer 2020. Come join us as we visually reveal, explore and explain fascinating details and patterns from a digital economy spanning petabytes of data and billions of transactions across a vast network of buyers, sellers, consumers and middlemen everyday. https://www.linkedin.com/jobs/view/1477118651/ <https://www.linkedin.com/jobs/view/1477118651/> Intern - Data Visualization - (0103301) As a Data Visualization Intern, you will be at the leading edge for creating innovative visualization systems that demonstrate the business value of Conversant’s digital marketing platform directly to our internal analysts, customers and stakeholders. Our visualization challenges span hundreds of millions of detailed profiles across hundreds of millions of websites and apps tied together by sophisticated real-time analytics that make near instantaneous decisions on messaging to those profiles billions of times a day. This provides an incredibly rich environment of business questions and answers that are hidden within petabytes of data. You will be a key team member creating effective visualization tools that use the data to answer those questions in an engaging, intuitive and informative manner. This is a multi-faceted effort involving an array of visualization tools such as D3.js, WebGL, Three.js, Tableau and more. We have a number of projects that are suitable for intern work that will provide you a chance to make a significant impact on our capabilities. Essential Functions And Responsibilities • Develop a basic understanding of digital marketing and Conversant’s personalization platform. • Use your visualization expertise to research and recommend the best approaches to solving one of our technology + business problems. • Implement and validate your solution. • Work with other teams to integrate your solution into Conversant’s production systems. • Document and present your approach. Education And Experience • PhD level candidates, with significant course, research and/or commercial experience in data visualization. • Solid foundational understanding of data visualization principles. • Solid experience with visualization tools as outlined below. • Be a supportive and positive contributor in a highly collaborative team with shared and overlapping responsibilities. • Practical real-world UX/UI experience. • Familiarity with data science and machine learning. • Experienced with one of D3.js, WebGL, or Three.js. As an alternative, Expert level Tableau skills with a portfolio of advanced charting will be considered. • Solid JavaScript programming skills. • Experience with statistics and big data analytics techniques. • Experience with Node.js and/or React. • Big Data (Hadoop, Spark, Scala, NoSQL, SQL) experience.

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