December 2021 - Infovis

Lectureships in CS - City, University of London - giCentre
by Dykes, Jason 08 Sep '22

08 Sep '22

We're looking for creative and inspiring candidates for our permanent (tenured) Academic positions in Computer Science at City - Lecturer (Assistant Prof). http://bit.ly/cityJob60023128 Researchers in *visualization* are encouraged to apply to join the giCentre team in London. http://gicentre.net Application deadline - 28th August Please get in touch with Jo Wood or Jason Dykes to discuss - gicentre(a)city.ac.uk @giCentre @city_cs

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Fwd: CFP: ETVIS 2022 - Workshop on Eye Tracking and Visualization (Due on Feb 22)
by Vidyapu Sandeep 27 Dec '21

27 Dec '21

Dear colleagues, You are invited to submit relevant manuscripts for consideration in the * Sixth Workshop on Eye Tracking and Visualization (ETVIS 2022) * June 8-11, 2022, Seattle, US. For the third time in conjunction with the Symposium on Eye Tracking Research and Applications (ETRA): https://etra.acm.org/2022 All accepted papers will be published by ACM as part of the Short Paper Proceedings of ETRA 2022. The details are appended and also available at https://etra.acm.org/2022 under co-located events. Please feel free to contact us directly for any further enquiry. Best regards, Zoya Bylinskii (Adobe) Benedict Fehringer (University of Mannheim) Kuno Kurzhals (University of Stuttgart) ************************************************************************** Sixth Workshop on Eye Tracking and Visualization (ETVIS 2022) June 8-11, 2022, Seattle, US in conjunction with ACM ETRA 2022 https://etra.acm.org/2022/workshops/ETVIS2022/ETVIS2022.html ************************************************************************** Contact: etvis2022(a)gmail.com ************************************************************************** ________________ IMPORTANT DATES ________________ ● Abstract Due: Feb 22, 2022 ● Submission Due: Mar 01, 2022 ● Notification: Apr 08, 2022 ● Camera Ready: Apr 19, 2022 All accepted papers will be published by ACM. ______ SCOPE ______ Broadly, this workshop considers the intersection of eye tracking research with visualization, whether the contributions relate to eye tracking studies of visualizations, or vice versa, visualization techniques for eye tracking. Technological advances in computer vision algorithms and sensor hardware have greatly reduced the implementational and financial costs of eye tracking. Thus, it is unsurprising to witness a significant increase in its use as a research tool in fields beyond the traditional domains of biological vision, psychology, and neuroscience, in particular, in visualization and human-computer interaction research. One of the key challenges lies in the analysis, interaction, and visualization of complex spatio-temporal datasets of gaze behavior, which is further complicated by complementary datasets such as semantic labels, user interactions and/or accompanying physiological sensor recordings. Ultimately, the research objective is to allow eye tracking data to be effectively interpreted in terms of the observer’s decision-making and cognitive processes. To achieve this, it is necessary to draw upon our current understanding of gaze-behavior across various and related fields, from vision and cognition to visualization. All together eye tracking is an important field to be understood, be it in the sense of data analysis and visualization, interaction, or user-based evaluation of visualization. _______ TOPICS _______ Manuscripts are solicited on the following topics with an emphasis on the relationship between eye tracking and visualization, including but not limited to the following: ● Visualization techniques for eye-movement data (inc. spatio-temporal visualization, evolution of gaze patterns, visual analysis of individual behavior, 2D vs. 3D representations of eye-movement data) ● Visual analytics of gaze behavior (inc. visual data mining, aggregation, clustering techniques, and metrics for eye-movement data) ● Eye-movement data provenance ● Standardized metrics for evaluating gaze interactions with visualization ● Cognitive models for gaze interactions with visualizations ● Novel methods for eye tracking in challenging visualization scenarios ● Uncertainty visualization of gaze data ● Interactive annotation of gaze and stimulus data ● Systems for the visual exploration of eye-movement data ● Eye-tracking studies that evaluate visualization or visual analytics ● Eye tracking in non-WIMP visualization environments, including mobile eye tracking, mobile devices, and large displays ● Visualization of eye-tracking data in mixed and virtual reality (3df & 6df, 360°) ● Visualization applications that rely on eye tracking as an input parameter ____________ SUBMISSIONS ____________ Authors are invited to submit original work complying with the ETRA SHORT PAPER format (up to 8 pages single-column format, any number of references, max. 150 words abstract). Also ensure that the Author Guidelines ( https://www.siggraph.org//learn/instructions-authors for SIG sponsored events [sigconf]) are met prior to submission. ________ ORGANIZERS ________ ● Zoya Bylinskii, Adobe, bylinski[at]adobe.com ● Benedict Fehringer, University of Mannheim, b.fehringer[at]uni-mannheim.de ● Kuno Kurzhals, University of Stuttgart, kuno.kurzhals[at] visus.uni-stuttgart.de ________ MEDIA CHAIR ________ ● Sandeep Vidyapu, University of Stuttgart, Sandeep.Vidyapu[at] visus.uni-stuttgart.de -- Thanks and regards, Dr. Sandeep Vidyapu, Ph.D. Postdoc Research Fellow Universität Stuttgart

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[CFP] BigVis 2022 :: 5th Big Data Visual Exploration & Analytics Workshop [Online]
by Nikos Bikakis 27 Dec '21

27 Dec '21

Call for Papers BigVis 2022: 5th International Workshop on Big Data Visual Exploration and Analytics https://bigvis.imsi.athenarc.gr/bigvis2022 March 29 2022, Edinburgh, UK [Online] Held in conjunction with the 25th Intl. Conference on Extending Database Technology & 25th Intl. Conference on Database Theory (EDBT/ICDT 2022) 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 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, graph - Human -in -the -loop processing - Human -centered databases - Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications - Interactive & human -centered 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 Special Theme ------------------------------------ _Human-AI Collaboration_ BigVis 2022 will devote a session to Human-AI collaboration approaches in the context of Big data visualization and analytics. 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 28, 2022 (AoE) Notification: February 20, 2022 Camera-ready: February 25, 2022 Workshop: March 29, 2022 [Online] Special Issue ------------------------------------ TBD Organizing Committee ------------------------------------ Nikos Bikakis, ATHENA Research Center, Greece Hanna Hauptmann, Utrecht University, Netherlands George Papastefanatos, ATHENA Research Center, Greece Michael Sedlmair, University of Stuttgart, Germany Program Committee ------------------------------------ James Abello, Rutgers University Demosthenes Akoumianakis, Hellenic Mediterranean University Gennady Andrienko, Fraunhofer Natalia Andrienko, Fraunhofer Jacob Biehl, University of Pittsburgh Wei Chen, Zhejiang University Panos Chrysanthis, University of Pittsburgh Alfredo Cuzzocrea, University of Calabria Evanthia Dimara, Université Paris-Sud Harish Doraiswamy, Microsoft Mennatallah El-Assady, University of Konstanz Ahmed Eldawy, University of California, Riverside Steffen Frey, University of Groningen Issei Fujishiro, Keio University Christoph Garth, Technische Universität Kaiserslautern Parke Godfrey, York University Hamed Haddadi, Imperial College London Eser Kandogan, Megagon Labs Alireza Karduni, Northwestern University James Klosowski, AT&T Labs Research Manolis Koubarakis, National University of Athens Kwan-Liu Ma, University of California, Davis Stavros Maroulis, National Technical University of Athens Suvodeep Mazumdar, The University of Sheffield Silvia Miksch, Vienna University of Technology Davide Mottin, Aarhus University Laura Po, Universitá di Modena e Reggio Emilia Giuseppe Polese, University of Salerno Sajjadur Rahman, Megagon Labs Alexander Rind, St. Pölten University of Applied Sciences Panagiotis Ritsos, Bangor University Maria Riveiro, Jönköping University Hans-Jörg Schulz, Aarhus University Arjun Srinivasan, Tableau Manuel Stein, Universität Konstanz Christian Tominski, University of Rostock Natkamon Tovanich, IRT SystemX Yannis Tzitzikas, University of Crete & FORTH-ICS Katerina Vrotsou, Linköping University Junpeng Wang, Visa Research Yunhai Wang, Graduate University of Chinese Academy of Sciences Jules Wulms, Vienna University of Technology Jiazhi Xia, Central South University Kai Xu, Middlesex University Hongfeng Yu, University of Nebraska-Lincoln

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PhD Research Position in Computer Science at VISUS, University of Stuttgart
by Kuno Kurzhals 22 Dec '21

22 Dec '21

The junior research group (led by Dr. Kuno Kurzhals) at the Visualization Research Center at the University of Stuttgart (VISUS), Germany, is looking to fill a position for a PhD student: PhD Research Position in Computer Science (f/m/d) (German Federal pay scale TV-L 13, full-time, temporary) The position is available from February 1, 2022, or by agreement. Description The position is in the field of Visualization and Human-Computer Interaction. The Visualization Research Center at the University of Stuttgart (VISUS) is closely connected to the cluster of excellence "Integrative Computational Design and Construction for Architecture (IntCDC)". Within the cluster, we are looking to fill a position in the project: ---------------------------------------------------------- Eye Tracking for Architectural Design and Construction ---------------------------------------------------------- We expect applicants to conduct research in developing and evaluating visual interfaces for the support of work processes in the cluster. Responsibilities * Research with focus on visualization, eye tracking for evaluation, and gaze-based interaction * Writing and publishing research results * Supervising student projects Your Competences * Strong written and oral communication skills in English language * Excellent MSc degree in computer science or a related field * Experience in one or more of the following fields: human-computer interaction, visualization, eye tracking, or empirical studies * Excellent programming skills for research prototyping, strong motivation, and teamwork ability We Offer * An interdisciplinary team to work in with numerous collaboration opportunities * A professional workplace with state of the art technologies to conduct research * A structured doctoral qualification program How to apply Questions can be directed to Dr. Kuno Kurzhals (Kuno.Kurzhals(a)visus.uni-stuttgart.de) Please send your application including (1) cover letter, (2) complete CV, (3) list of publications, (4) names and contact details of at least two references, and (5) education certificates (including transcripts of courses and grades) as a single PDF file at the latest on 23.1.2022 to jobs(a)visus.uni-stuttgart.de. Information on the research group: https://www.visus.uni-stuttgart.de/ and the cluster of excellence: https://www.intcdc.uni-stuttgart.de/. Applications by women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications. 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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NASA Data to Discovery Program Call for Interns
by Davidoff, Scott (US 397F) 20 Dec '21

20 Dec '21

COME HELP NASA SCIENTISTS AND ENIGEERS EXPLORE THE UNIVERSE WITH DATA VISUALIZATION The NASA JPL / Caltech / Art Center Data to Discovery Program is a multi-disciplinary program for computer scientists and designers (datavis.caltech.edu) 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. DATES | June 13 - August 19, 2022 (to be confirmed) LOCATION | Pasadena, California or online, to be determined SALARY | $7.3K for undergraduates, $9K for graduate students ELIGIBILITY | Applicants must be continuing students. Students graduating before fall 2022 are not eligible to apply. THESE PROJECTS REQUIRE COLLABORATION WITH JPL. THEREFORE, STUDENTS MUST BE US CITIZENS OR PERMANENT RESIDENTS. GPA must be >= 3.0 We are committed to building a diverse team. We welcome applications from groups that are historically minoritized in computer science and design including BIPOC, LGBTQ+, disabled people and women. APPLICATIONS | via bit.ly/datavis22-interns; including resume (PDF), portfolio (if relevant), and answers to the following: _ Why do you want to work in visualization? _ What are your technical skills? What visualization experience do you have? _ What are your experiences working in teams? Experience working with scientists? INFO SESSION | Watch video bit.ly/datavis21-info-video | Join live Q&A, Monday, January 10th, 10th, 2pm-EST, 11am--PST bit.ly/datavis22-info-qanda DEADLINE | Accepting applications now until February 8, 2022 [CS applicants] and March 8, 2022 [DESIGN applicants], or until positions are filled Scott Davidoff davidoff(a)jpl.nasa.gov<mailto:davidoff@jpl.nasa.gov> Senior Manager, Human Centered Design Mars 2020 PIXL Data Visualization Lead NASA Jet Propulsion Laboratory

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Conferences: IEEE VR 2022 - Call for tutorials - due Jan 10, 2022
by IEEE VR Publicity 20 Dec '21

20 Dec '21

Call for Tutorials IEEE VR 2022: IEEE Conference on Virtual Reality and 3D User Interfaces March 12th- March 16th, 2022 https://ieeevr.org/2022/ <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> 1. Important Dates - January 10, 2022: Tutorial submissions due - January 17, 2022: Acceptance notification - January 31, 2022: Advance program descriptions for IEEE VR 2021 website due 1. Overview Tutorials are an excellent opportunity to offer education in topics in our field for both novice and experienced researchers. We invite members of our community to submit proposals for 90 minute or half-day tutorials. We anticipate that both tutorials and workshops will be presented during the virtual conference. Proposed tutorials may be introductory or advanced and should address topics of interest to the extended reality communities (virtual, mixed, or augmented reality), as well as the 3D user interface community. Proposals will be evaluated on their relevance to the conference topics, their suitability for presentation in a virtual tutorial format, and the qualifications of the instructors. We will strive for a balance of topics in the tutorial program and also consider the potential for interest and attendance. Upon review of submitted proposals, suggestions may be provided by the Tutorials chairs to submitters on how to improve their submission. Suggested topics include but are not limited to: - 3D interaction - Input devices - Haptics, audio, and other non-visual interfaces - Systems, toolkits, software frameworks, and game engines for VR/AR/MR - Introduction to virtual, augmented, or mixed reality - Computer graphics techniques for VR/AR/MR - Advanced display technology - Immersive projection technology - Multi-user and distributed VR/AR/MR - Serious games - Tracking and sensing - Modeling and simulation - User studies and evaluation - Immersion, presence, perception, and cognition - Navigation and cybersickness - Applications of VR/AR/MR - Teleoperation and telepresence - AI and VR/AR/MR - Sanitation and hygiene for VR/AR/MR - Online studies and remote data collection 1. Submission Guidelines Proposals are welcome on topics that have been previously addressed; in addition, new topics, approaches, or insights are especially appreciated. Submissions should include a statement indicating how the proposal differs from recent tutorial presentations that may have approached a similar topic, or why it is important to offer it again. Topics taken from the list of suggested topics appropriate for paper submissions to the main conference are also welcome. Proposals for tutorials should be submitted electronically (PDF) and should include: - Title - Expected duration (90 minute or half-day) - A brief description of the topics to be addressed, including time allotted to each (roughly 500 words) - The technical level and intended audience - The expected value to that audience - If the tutorial has been delivered before, include a description of where and when, and explain why it should be held again. This is required regardless of whether the proposers organized the previous tutorials themselves or the previous tutorials were taught by someone else. - The names, contact information and a short biography (roughly 200 words each) for the proposed instructors. Tutorial submissions must be submitted via email to the Tutorials Chairs at tutorials2021 [at] ieeevr.org <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> . For each 90 minute accepted tutorial, we will be able to provide a free one-day registration for the day of the tutorial, and two one-day registrations for the day of the tutorial for each half-day accepted tutorial. 1. Contacts For more information, to inquire about a particular tutorial topic, or to submit a proposal, please contact the Tutorials Chairs: - Beatriz Sousa Santos, University of Aveiro, Portugal - Evan Suma Rosenberg, University of Minnesota, USA - Heide Lukosch, HIT Lab NZ, Univeristy of Canterbury, New Zealand tutorials2022 [at] ieeevr.org <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> [image: beacon]

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IEEE VGTC Election Result
by Paul Rosen 17 Dec '21

17 Dec '21

Dear VGTC community, I’m happy to announce that Bongshin Lee has been elected to be the next chair of the IEEE VGTC. Bongshin will shadow the current VGTC chair, Jim Ahrens, until officially taking over in July 2022. We thank both Bongshin and Victoria for their willingness to lead the VGTC community and Jim for his leadership in recent years. Finally, we also thank all of those VGTC members who voted. If you have any questions, please feel free to let me know. To learn more about the Visualization and Graphics Technical Committee, please visit http://vgtc.org/. Paul (on behalf of the VGTC) ==================================== Paul Rosen, Ph.D. Associate Professor Computer Science and Engineering University of South Florida prosen(a)usf.edu<mailto:prosen@usf.edu> http://www.cspaul.com

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Give the Gift of Knowledge! Visual Analytics Certificate (VAC) Course: Jan 10-Feb 20, 2022
by Borner, Katy 13 Dec '21

13 Dec '21

Greetings, If you would like to give the gift of knowledge this Holiday season, please consider sending your staff (or yourself!) to our next Visual Analytics Certificate (VAC) course which takes place Jan 10-Feb 20, 2022. Please share with colleagues, staff, and others. Sending warm wishes during this Holiday season! Katy Borner & Nancy Ruschman -------------------------------------------------------------------------------------------- 2022 Visual Analytics Certificate (VAC) Course Visual Analytics Certificate: Unlock the power of data and position yourself for success. Join us for the next Visual Analytics Certificate (VAC) course<https://visanalytics.cns.iu.edu/> which runs January 10-February 20, 2022 and earn 3 CEUs from the Cyberinfrastructure for Network Science Center (CNS) at the Indiana University Luddy School of Informatics, Computing, and Engineering. This six-week online asynchronous course is designed for the working professional and will provide the theoretical and practical grounding you need to design insightful visualizations. With applications from human resources to business intelligence, visual analytics harness today's computing power with the power of human pattern recognition to unleash the real value in your data. Developing skills to access insights to data is key to making crucial decisions in today's world. Register here<https://visanalytics.cns.iu.edu/>. Additional course information may be found here<https://visanalytics.cns.iu.edu/dld/visual_analytics_certificate.pdf>. Employees from numerous corporate, government, education, and nonprofit organizations have found the VAC class to be valuable. Participating organizations include: * The Boeing Company * Biotechnology and Biological Sciences Research Council in UK (BBSRC) * The Centers for Disease Control and Prevention (CDC) * City of Bloomington, IN * Cummins * Eli Lilly and Company * James McDonnell Foundation * National Renewable Energy Laboratory (NREL) * Naval Surface Warfare Center, Crane Division (NSWC Crane) * Office of Naval Research (ONR) * Office of Scientific and Technical Information (OSTI) * Space Telescope and Science Institute (STSCI) A component of the course includes working on practical, real-world projects. The project takes participants through a series of steps that allow the participant to explore various visualizations and decide which will relay the best insights given the stakeholder's objective. The project component is set up as a mock consultation with a client or stakeholder and includes the following steps: Primary Objective, Insight Needs, Stakeholder Analysis, Data Acquisition, Data Analysis Methods, Data Visualizations, Interpretation of Results. Project examples from past VAC participants include: * COVID-19 Impact on NSWC Crane Work Behaviors * Supply Chain Management Strategies * Software Development Optimization Methods * Quality Benefits of the Use of Augmented Reality in Aviation Production * Effects of Schedule Pressure and Bleeding Edge Infrastructure Technology on Boeing Acoustics Software Quality * Inbound Sales Call Conversion Rates * Hispanic Cancer Mortality * Staffed Hospital Bed Availability * Traffic Patterns in Alaska Over Time * EPA Air Quality Consequent to Forest Fire Consumption of Townships Below are testimonials from a few of our participants: UX Researcher & Designer, Eli Lilly and Company "As a User Experience Researcher, a large part of my job is to clearly communicate my research findings and tell stories with the data. This course has given me a clear framework and methodology for creating more meaningful and useful data visualizations. Now I feel like I can hold a decent data vis conversation with the analysts I work with, enabling better collaboration and more innovative ways to share my research insights." Biotechnology and Biological Sciences Research Council (BBSRC) Participant: "The structure of the course allowed us to very flexibly fit this learning amongst our existing busy schedules. The content was incredibly well aligned to our everyday analyses and it was particularly neat how a meeting with our international colleagues co-incidentally fell within the week we were exploring international networks as part of the VAC. A great opportunity to immediately put our latest learning into practice!" Naval Surface Warfare Center, Crane Division (NSWC Crane) participant "For me personally, the course was excellent at delivering the theoretical framework for data-driven decision making using the Data Visualization Language framework. The weekly curriculum was iterative and extensive enough to continue forward while also performing with my professional responsibilities. I did feel that it was extraordinarily beneficial to take the certificate program within a larger cohort of professionals from the same organization, as this offered a greater impact to how we individually approached our projects with insights provided by internal colleagues as well as our external course instructors." CNS Visual Analytics Certificate News: * IU visual analytics course leverages power of data for business, government partners<https://partnerships.iu.edu/iu-visual-analytics-course-leverages-power-of-d…> * Empowered by Data Visualizations: Career-Changing Training in Visual Analytics<https://cns.iu.edu/docs/news/20201112-vac-impact-story.pdf> Take the first step in monitoring health, science, and technology developments across your industry sector, increasing internal efficiencies, and managing communication flows. No programming or coding experience necessary. Some familiarity with statistics and the use of spreadsheets for data analysis is helpful. Sign up now Cost for the course is $950. For more information and to register visit https://visanalytics.cns.iu.edu/<https://visanalytics.cns.iu.edu/> or contact Nancy Ruschman at nruschma(a)indiana.edu<mailto:nruschma@indiana.edu>. This course has been developed and is taught by the Cyberinfrastructure for Network Science Center<https://cns.iu.edu/mission.html> (CNS), a research center at Indiana University with nearly 20 years of experience at the forefront of data visualization. We have worked with corporations, researchers, and government agencies to render data into insights, visually. 2022 Visual Analytics Certificate (VAC) Course Learning Outcomes and Topics ASSIGNMENTS Weekly quizzes and weekly assignments due each Sunday. LEARNING OUTCOMES * A theoretical foundation of how to design effective analysis workflows and data visualizations; * Hands-on skills in the application of visual analytics in real-world case studies; * Expertise on how new methods and tools can create value across the product life cycle; * An understanding of how to define, measure, and improve data visualization literacy within an institution; * Knowledge of research challenges and application areas that power data-driven decision making across industries. TOPICS INCLUDE * Week 1 - Data-Driven Decision Making, Visual Analytics Framework, Workflow Design * Week 2 - "When": Temporal Data Analysis and Visualization * Week 3 - "Where": Geospatial Data Analysis and Visualization * Week 4 - "What": Topical Data Analysis and Visualization * Week 5 - "With Whom": Network Analysis and Visualization * Week 6 - Future Developments, Value Creation via Data-Driven Decision Making COST: $950 for 6-week course REGISTRATION Registration link: https://visanalytics.cns.iu.edu/<https://visanalytics.cns.iu.edu/> ABOUT CNS CNS<http://cns.iu.edu/> is a research center at IU's Luddy School of Informatics and Computing in Bloomington, Indiana. For nearly 20 years, CNS has played a leading role in the field of data visualization, developing open source tools for the creation of data visualizations, offering a Massive Open Online Course in Information Visualization, co-organizing international workshops and conferences, and promoting network science and visualization through international initiatives. Our mission is to advance datasets, tools, and services for the study of biomedical, social and behavioral science, physics, and other networks. A specific focus is research on the structure and evolution of science and technology (S&T) and the communication of results via static and interactive maps of science (learn more at Places & Spaces: Mapping Science: Home<http://scimaps.org/>). -- Katy Borner Victor H. Yngve Distinguished Professor of Engineering and Information Science Director, CI for Network Science Center, http://cns.iu.edu<http://cns.iu.edu/> Curator, Mapping Science exhibit, http://scimaps.org<http://scimaps.org/> ISE and ILS, Luddy School of Informatics, Computing, and Engineering, Indiana University Luddy Hall 4018, 700 N. Woodlawn Ave, Bloomington, IN 47408, USA Phone: (812) 855-3256 Twitter: @katycns

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Graduate Student Researcher in GIS Needed - Byrd Data Visualization Lab
by Byrd, Vetria L 10 Dec '21

10 Dec '21

The Byrd Data Visualization Lab is looking for graduate student researchers to join the Byrd Data Visualization Lab to be part of the exciting research team developing connections to the NSF funded I-GUIDE platform to support research-linked learning pathways in GIS. Students with a background in GIS, data visualization, and data science, with programming experience should apply. PhD students preferred; however, master's level students will also be considered. The successful candidate will start Fall 2022. This is a funded research position in the Department of Computer Graphics Technology in the Polytechnic Institute at Purdue University in West Lafayette, IN. For full consideration, graduate school applications must be received by February 1, 2022. For more information contact Dr. Vetria Byrd at vbyrd at purdue dot edu Vetria L. Byrd, PhD Assistant Professor, Computer Graphics Technology Byrd Data Vis Lab, Director Office: KNOY 371 Lab KNOY 373 https://byrdvislab.wixsite.com/website Purdue Polytechnic Institute Email: vbyrd at purdue dot edu

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Special Issue in IEEE Computer Graphics and Applications: Call for Papers
by Borner, Katy 09 Dec '21

09 Dec '21

Dear all, There will be a July/Aug 2022 special issue in IEEE Computer Graphics and Applications on "Multi-Level Graph Representations for Big Data in Science." More info can be found at https://www.computer.org/digital-library/magazines/cg/call-for-papers-speci… Inquiries welcome, Katy Börner, Indiana University Andreas Bueckle, Indiana University Stephen G. Kobourov, University of Arizona -- Katy Borner Victor H. Yngve Distinguished Professor of Engineering and Information Science Director, CI for Network Science Center, http://cns.iu.edu<http://cns.iu.edu/> Curator, Mapping Science exhibit, http://scimaps.org<http://scimaps.org/> ISE and ILS, Luddy School of Informatics, Computing, and Engineering, Indiana University Luddy Hall 4018, 700 N. Woodlawn Ave, Bloomington, IN 47408, USA Phone: (812) 855-3256 Twitter: @katycns

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