November 2021 - Infovis

Subjects Needed for a Visualization Study
by Hannah Katserdemwa Bako 08 Nov '21

08 Nov '21

Hello All, Are you interested in participating in cutting edge research on state-of-the-art visualization systems? Then please consider participating in our online user study! We are conducting an online study to measure the relationship between creativity and insight during data exploration. We are seeking out participants for a one-time 55-minute study (no more than 1.5 hours) that will require you to perform data exploration using industry standard business analytics tools. In the session, you will use an analytics tool to explore a dataset, and complete a series of surveys to measure creativity, as well as a demographic survey This is an opportunity to be an active contributor to current and future data science research. Participation is completely voluntary and the experience and data you share will be anonymous. Personal demographic data, answers to survey questions, and interaction logs will be collected, anonymized, and shared as a public resource for data science research. To participate in this study you must: 1) Be 18 or older 2) Have at least basic visualization or data analysis experience such as with Excel, Tableau, JupyterLab, or Vega-Lite. You will be compensated with a $20 Amazon gift card for participating in this study. If you are interested, please complete this survey https://umdsurvey.umd.edu/jfe/form/SV_1X67xoWSOVoTnLw <https://umdsurvey.umd.edu/jfe/form/SV_1X67xoWSOVoTnLw>. If you have any questions, please do not hesitate to contact Hannah at hbako(a)umd.edu <mailto:hbako@umd.edu>. Thank you for your time. Principal Investigator: Leilani Battle, Ph.D. Assistant Professor, University of Washington

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Seven positions in visual analytics, visualization, data science, AI/ML at University of Oklahoma
by Ebert, David 04 Nov '21

04 Nov '21

We are rapidly building data science, visual analytics, AI/ML, visualization, and data-enabled research at the University of Oklahoma. We have 4 faculty positions, 2 post-doc positions, and 1 research scientist position open. Please see the attached descriptions (and below) or contact me for more information. Thanks, David Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS General Co-Chair IEEE VIS 2022 in Oklahoma CIty Associate Vice President of Research and Partnerships Director, Data Institute for Societal Challenges (DISC) University of Oklahoma Vice President for Publications, IEEE Computer Society 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu --------------------------------------------------------------------------------------------------------- Four Faculty Positions in Data Science, AI, Interactive Decision Making, Human- Computer Teaming, Visual and Data Analytics, and AI/ML for Weather at the University of Oklahoma, Norman Campus Positions Available: As part of a multiyear effort to grow world-class data science and data-enabled research across The University of Oklahoma (OU), the Gallogly College of Engineering (GCoE) in partnership with the College of Atmospheric and Geographic Sciences (CAGS) and the College of Arts and Sciences (CAS), welcomes applications for a cluster of four (4) faculty positions from candidates whose experiences and interests have prepared them to be an integral contributor to the advancement of our inclusive and diverse communities engaged in scientific discovery, developing talent, solving global challenges, and serving our society. In this first year, we are focusing on data science foundational and enabling technologies. In subsequent years, we'll be hiring additional data science and data-enabled research faculty. The University, as part of its Lead On, University strategic plan has committed to creating world-class capabilities in data science, artificial intelligence (AI), machine learning (ML), and data-enabled research. In July 2020, the University established the Data Institute for Societal Challenges (DISC) to grow convergent data-enabled research to solve global challenges. DISC currently has over 50 faculty members across OU campuses, seven communities of practice, seed funding programs, and an extended network of approximately 250 data scientists and data-enabled researchers across many disciplines (https://www.ou.edu/disc) Four positions: 1) Professor or Associate Professor in Human-Computer Teaming and Interactive Decision Making: Humans and computers have complementary knowledge and skillsets. To solve challenging problems, we need to team these expertise together for effectiveness, reliability, efficiency, and adoption of many data-driven solutions. This area is cross-disciplinary and we seek a senior faculty member with expertise in one or more of human-computer teaming, visualization, infovis, visual analytics, human-machine interaction, decision theory, HCI, human factors and industrial engineering, or cognitive psychology. This faculty member will be a vital core team member in data science and data-driven decision making with a home department in ECE and possible joint appoint in ISE, Computer Science, Psychology, and/or Political Science. Candidates are requested to submit their applications at https://apply.interfolio.com/97229. Inquires can be addressed to Professor David Ebert, chair of the search committee at mailto:ebert@ou.edu. 2) Assistant Professor in AI Architectures: We seek to recruit a transdisciplinary faculty member with expertise in one or more of the following areas: scalable, high-performance software and hardware architectures for AI and advanced analytics, advanced and domain-tailored data science, AI (trustable, science-based, and human-guided), and human-computer teaming. Specific areas of interest include probabilistic, neuromorphic, and novel architectures, software pipelines and operating system architectures to support high-performance analytics, and enable real-time trustable AI and decision-making. Since traditional computing architectures are still based on solving problems from the 20th century, new computing hardware and software architectures are needed to optimize computing for AI and machine learning and many new approaches to science and engineering. This faculty member will grow and complement work in computer engineering, computer science and the new OU quantum center (CQRT) with a home department in ECE and possible joint appointments where appropriate. Candidates are requested to submit their applications at https://apply.interfolio.com/97161. Inquires can be addressed to Professor David Ebert, chair of the search committee at mailto:ebert@ou.edu. 3) Assistant Professor in Data Analytics: AI, & ML for High-Impact Weather Applications: A tenure-track position is available in the broad area of using artificial intelligence (AI) and machine learning (ML) techniques for improving the prediction and understanding of weather and climate. Examples of the expertise sought include the use of AI/ML through both postprocessing and improvements to models themselves, through bridging the gap between weather and climate time scales to advance subseasonal to seasonal (S2S) predictions. This faculty position will have its home department in the School of Meteorology and a possible joint appointment in ECE. Candidates are requested to submit their applications at https://apply.interfolio.com/96137. Inquires can be addressed to Drs. Steven Cavallo (mailto:cavallo@ou.edu), David Ebert, mailto:ebert@ou.edu, or Greg McFarquhar, mailto:mcfarq@ou.edu, chairs of the search committee. 4) Charles R. Jones Endowed Chair in Data Science - We are seeking applicants who can bring a well-established research program in DSA and the leadership to build upon the School's current strengths. Applicants must be established or emerging leaders with demonstrated scholarship in the fields of analytics, data science, and/or artificial intelligence. Applicants with proven expertise in both application and theory will be considered. We seek a colleague who will collaborate with current faculty in ISE and faculty across the university to build a strong collaborative research program. We encourage candidates who have interest in providing strong mentorship to junior faculty members and who will build a thriving research laboratory of graduate students and post-doctoral scholars. We seek a passionate individual who will contribute to the strategic research focus areas of Health and Medical Systems, and/or Aerospace and Defense Manufacturing Systems within the School and the College. Candidates are requested to submit their applications at https://apply.interfolio.com/82080. Inquires can be addressed to Professor Shivakumar Raman, chair of the search committee at mailto:raman@ou.edu. The University of Oklahoma: OU is a Carnegie-R1 comprehensive public research university known for excellence in teaching, research, and community engagement, serving the educational, cultural, economic and health-care needs of the state, region, and nation from three campuses: Norman, Health Sciences Center in Oklahoma City and the Schusterman Center in Tulsa. OU enrolls over 30,000 students and has more than 2700 full-time faculty members in 21 colleges. In Fall 2021, approximately 25% of OU's freshmen were first-generation students, 38% of all students belonged to a historically underrepresented, underserved, and/or marginalized race/ethnicity and in Fall 2020 5% were international. The University of Oklahoma is committed to achieving a diverse, equitable, and inclusive university community by embracing each person's unique contributions, background, and perspectives. The University recognizes that fostering an inclusive environment for all, with particular attention to the needs of historically marginalized populations, is vital to the pursuit of excellence in all aspects of our institutional mission. This enhances the OU experience for all students, faculty and staff, and for the communities that we engage. We acknowledge that the University of Oklahoma is on the traditional lands of the Caddo Nation and the Wichita & Affiliated Tribes. This land was also once part of the Muscogee and Seminole nations. It also served as a hunting ground, trade exchange point, and migration route for the Apache, Cheyenne, Comanche, Kiowa, and Osage nations. Today, over 40 federally recognized, state-recognized, or self-identified tribal nations dwell in what is now the State of Oklahoma as a result of settler colonial policies designed to encapsulate and to assimilate Indigenous peoples. Norman is a vibrant university town of around 113,000 inhabitants with a growing entertainment and art scene. With outstanding schools, amenities, and a low cost of living, Norman is a perennial contender on "best place to live" rankings. Visit http://www.ou.edu/flipbook and http://soonerway.ou.edu for more information. Within an easy commute, Oklahoma City features a dynamic economy and outstanding cultural venues adding to the region's growing appeal. The University, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. The University of Oklahoma, recognizing its obligation to guarantee equal opportunity to all persons in all segments of University life, reaffirms its commitment to the continuation and expansion of positive programs which reinforce and strengthen its equal opportunity policies. This commitment stems not only from compliance with federal and state equal opportunity laws but from a desire to ensure social justice and promote campus diversity. Our commitment to the concept of equal opportunity requires sincere and cooperative efforts throughout all levels of our employment structure. We will continue to strive to reach the goals of fair and equal employment opportunities for all. Qualifications We seek candidates whose research, teaching, and service have prepared them to integrate and bolster our commitment to diversity, equity and inclusion, and have given them the confidence to fully integrate students, faculty, staff, and others from a wide spectrum of backgrounds. Successful candidates must have the interest and ability to contribute significantly to the advancement of human-computer teaming and interactive decision making and develop a nationally recognized program of sponsored research; teach at both the undergraduate and graduate levels; supervise graduate students and postdoctoral fellows. A Ph.D. in engineering, or related discipline is required. Application Instructions Confidential review of applications will begin in December 2021. Candidates are invited to submit a letter of interest, names of three references who will be contacted only upon approval from the applicant, curriculum vitae, and brief (~2-3 pages) statements of interest regarding 1) research, 2) teaching, 3) service, and 4) diversity, equity, and inclusion (DEI). The research statement should summarize your prior contributions to research and your goals for developing a research program at OU. The teaching statement should summarize past instructional and mentorship experiences, your pedagogical philosophy, and plans/goals for teaching at OU (including existing and proposed courses) and advising a diverse cohort of undergraduate and graduate students. The service statement should describe your vision for internal service to the academic unit, the College and the University, and for external service to our scientific community and other stakeholders. The DEI statement should summarize your understanding and experience of relevant best practices, and outline plans for contributing to diversity, equity, and inclusion efforts through research, teaching, and/or service. Candidates are requested to submit their applications to the appropriate position listed above and inquiries should be directed to the search committee chairs, also listed above. Equal Employment Opportunity Statement The University of Oklahoma, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to: admissions, employment, financial aid, housing, services in educational programs or activities, or health care services that the University operates or provides.

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Conferences: IEEE VGTC Virtual Reality Awards Nominations Due Nov 30
by IEEE VR Publicity 03 Nov '21

03 Nov '21

IEEE VGTC Virtual Reality Awards The IEEE VGTC Virtual Reality Awards recognize and honor individuals who have made a significant contribution to the community through their research and/or service. Except for the Outstanding Dissertation Award (whose nominations are due May 31st of each year), all nominations are due by *November 30th* each year. The awards are presented at the annual IEEE VR conference. Awards: - IEEE VGTC Virtual Reality Outstanding Dissertation - IEEE VGTC Virtual Reality Significant New Researcher - IEEE VGTC Virtual Reality Technical Achievement - IEEE VGTC Virtual Reality Lifetime Achievement - IEEE VGTC Virtual Reality Service Award - IEEE VGTC Virtual Reality Academy IEEE VGTC Awards Overview and Criteria <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> IEEE VGTC Virtual Reality Award Recipients <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> For questions or additional information please email IEEE VGTC VR Awards Program Chair, currently Henry Fuchs, at vgtc-vr-awards(a)vgtc.org. [image: beacon]

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External reviewers wanted for EuroVis'22
by G.Elisabeta Marai 01 Nov '21

01 Nov '21

We kindly invite the community to volunteer as external reviewers for the full papers program at the EuroVis'22 conference ( https://conferences.eg.org/eurovis2022/) Volunteers should have publishing experience at EuroVis or a similar top venue in the field. To volunteer as a reviewer, please log into http://new.precisionconference.com/reviews and navigate to the Reviews tab, then follow the Volunteer to Review link, then the EuroVis'22 link. To help with the review match process, volunteers should 1) declare their areas of expertise under newPCS (the Reviews tab) using the EuroGraphics society EuroVis keywords (please note VGTC/VIS areas of expertise are not automatically transferred to EuroGraphics/EuroVis). 2) edit their newPCS profile (under the Account tab) to include a link to their website or dblp or scholar profile 3) optionally: provide some basic reviewing background (under the Reviews tab). Note: EuroVis does not match reviewers based on sample publications, because not enough enough reviewers provide enough samples. Thank you, The full paper chairs, Rita Borgo, Tobias Schreck, & Liz Marai -- Liz -- G. Elisabeta Marai Associate Professor of Computer Science Electronic Visualization Laboratory University of Illinois at Chicago http://evl.uic.edu/marai

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EuroVis 2022 Full papers CFP (abstracts due Nov 24)
by G.Elisabeta Marai 01 Nov '21

01 Nov '21

Gentle reminder: EuroVis 2022 Call for Papers, abstract deadline coming up. When submitting your paper under http://new.precisionconference.com/, please select "Eurographics" (*not* VGTC) in the first box, and then EuroVis 2022 in the second box. With this call for papers, we invite submission of high-quality papers that will set the standard and stimulate future trends in the field of visualization and visual analytics. Accepted full papers will be published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. All accepted papers will be presented orally at the conference. EuroVis 2022 ( https://conferences.eg.org/eurovis2022/) will be held in Rome, Italy on June 13-17, 2022. We encourage submissions from all areas of data visualization and visual analytics. Suggested topics include, but are not limited to: * Techniques: novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. All sub-areas of data visualization and visual analytics are welcomed, including high-dimensional, time-series, spatial, geographic, text, hierarchical, and network data. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization). * Systems: new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems. * Applications & Design Studies: novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical sciences, life sciences, social sciences, engineering, arts, sports, and humanities. * Evaluation & Empirical Research: Comparative evaluation of competing visualization approaches; controlled experiments to inform visualization best practices; longitudinal and qualitative studies to understand user needs, visualization adoption, and use. * Theory: models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation. For a wider range of paper types, please see “Broadening Intellectual Diversity in Visualization Research Papers< https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcmci.color…>” by B. Lee et al. SUBMISSION INSTRUCTIONS The maximum length for submitted papers to the full papers track is 10 pages (in Computer Graphics Forum (CGF) style, including all images, but excluding references). Authors are encouraged to use supplementary documents to provide extra content. Papers exceeding the maximum allowed number of pages will be automatically rejected. Submissions must be made using the Computer Graphics Forum style, using the conference LaTeX template for full papers. A LaTeX style sheet and overleaf template will be provided as well as a sample document explaining the required format. Authors have the option to submit their papers anonymously. In contrast to previous years, double-blind reviewing is optional, not required: authors may choose to disclose their identities to the reviewers. The reviewing process does not consider anonymity as a factor. The process will attempt to preserve anonymity of authors of anonymized submissions. However, the program committee, which is responsible for half of the reviews, will know the authors of submissions reviewed by them. Authors have the option of submitting additional material with their submissions. Supplementary materials, such as videos and supporting data, are encouraged. For papers that have previously been reviewed for other venues and have been rejected or withdrawn, the authors are strongly encouraged to provide the original submission with a cover letter describing the changes they have made to comply with reviewers' comments and requests. All full papers accepted to EuroVis appear in a special issue of Computer Graphics Forum, containing the conference proceedings, and will appear at the same time in the Eurographics digital library. EuroVis submissions and papers are subject to the pre-print and self-archiving policies of the Computer Graphics Forum journal. Given the uncertainty due to the pandemic, further details will be communicated regarding possible Open Access charges. Abstracts and full papers are submitted using the Precision Conference System (PCS): https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnew.preci… Please note you shall need to select Eurographics as Society. Submission of an abstract is mandatory by the abstract deadline, with completed papers due on by the full paper deadline. Submissions will not be accepted if an abstract is not submitted by the abstract deadline. Abstract submissions require the title, authors, paper type, abstract, and keywords in the form. The remaining fields (the document, additional material) are submitted by the full paper deadline. Please note that EuroVis accepted papers are published as a regular-length journal article, so submitting just an abstract is not sufficient. Submitters should choose keywords and categories appropriate for their paper as this information is used in reviewer selection. For more details please see the EuroVis 2022 website: https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fconference… IMPORTANT DATES Abstract deadline: November 24, 2021 (Wednesday!) Full paper deadline: December 2, 2021 Reviews available, rebuttal start: January 26, 2022 Rebuttal deadline: January 31, 2022 First Round Notification: February 18, 2022 Revised Submission: March 10, 2022 Final Notification: March 26, 2022 Camera Ready Version: April 19, 2022 All submission deadlines are at 23:59 GMT on the date indicated. For any questions concerning full paper submissions please contact the full papers chairs: fullpapers(a)eurovis.org FULL PAPERS CHAIRS Rita Borgo, King’s College London, UK G. Elisabeta Marai, University of Illinois at Chicago, USA Tobias Schreck, Graz University of Technology, Austria -- Liz -- G. Elisabeta Marai Associate Professor of Computer Science Electronic Visualization Laboratory University of Illinois at Chicago http://evl.uic.edu/marai

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