May 2022 - Infovis - infovis.org

REMINDER: Call for Macroscope Tools for the Places & Spaces: Mapping Science Exhibit (2022) - Deadline is Feb 15, 2022
by Borner, Katy 10 Jan '24

10 Jan '24

Happy New Year 2022! Call for Macroscope Tools for the Places & Spaces: Mapping Science Exhibit (2022) Please see below for more info. Deadline is Feb 15, 2022. Best regards from Bloomington, k From: Borner, Katy Sent: Wednesday, December 1, 2021 10:17 PM To: 'SOCNET(a)LISTS.UFL.EDU' <SOCNET(a)LISTS.UFL.EDU>; 'SCISIP(a)LISTSERV.NSF.GOV' <SCISIP(a)LISTSERV.NSF.GOV>; 'ASIS&T Special Interest Group on Metrics' <SIGMETRICS(a)listserv.utk.edu>; 'sigmetrics(a)mail.asis.org' <sigmetrics(a)mail.asis.org>; 'infovis(a)infovis.org' <infovis(a)infovis.org>; 'POLNET-L(a)LISTSERV.SIU.EDU' <POLNET-L(a)LISTSERV.SIU.EDU>; 'ieee_vis(a)listserv.uni-tuebingen.de' <ieee_vis(a)listserv.uni-tuebingen.de> Cc: Record, Elizabeth <recorde(a)indiana.edu>; Theriault, Todd Nicholas <ttheriau(a)indiana.edu> Subject: Call for Macroscope Tools for the Places & Spaces: Mapping Science Exhibit (2022) - Deadline is Feb 15, 2022 Dear all, we are seeking engaging, relevant, interactive data visualizations of science and technology developments that help people make smarter decisions in their personal and professional lives. The Call for Submissions has been posted at https://scimaps.org/call-for-macroscopes and we welcome your help in spreading the word. Submissions are due by Feb 15, 2022. More information on maps and macroscopes included in the exhibit can be found at https://scimaps.org interviews with select map and macroscope makers are at https://scimaps.org/learning-center/maker-videos. Call for Macroscope Tools is below. Thank you and kind regards, Katy Bӧrner, Lisel Record, & Todd Theriault Curators, Mapping Science exhibit, http://scimaps.org 2022 Call for Macroscopes Background and Goals The Places & Spaces: Mapping Science exhibit is designed to open people’s minds and hearts to the value, complexity, and beauty of science and technology. We are inviting authors of interactive data visualizations, also called macroscopes, to submit their work for inclusion in the Places & Spaces: Mapping Science exhibit. IMPORTANT DATES Submissions due: Feb 15, 2022 Mapmakers notified: Apr 1, 2022 Submit final entries: May 30, 2022 Ready for display: Aug 31, 2022 Macroscopes are software tools that help us focus on patterns in data that are too large or complex to see with the naked eye. The idea of the macroscope was explored in 1979 by Joël de Rosnay in a book titled The Macroscope: A New World Scientific System [1]. To meet the challenges posed by the rapidly increasing abundance, diversity, and complexity of information, de Rosnay proposed the macroscope, a tool for observing “what is at once too great, too slow, and too complex for our eyes.” Like microscopes and telescopes, macroscopes can startle us when we point them at objects we thought we already knew. Through their lens, we may see familiar structures in a new light or gain a fresh perspective on an old process. This year’s call for submissions to the Places & Spaces exhibit celebrates the decidedly scopic feature of macroscopes. Simply put, we are looking for interactive visualizations that disrupt our old habits of seeing, that challenge our common patterns of perception in order that we might see something anew. To do so, they may use novel datasets and algorithms or employ innovative user interface designs. Places & Spaces is a traveling exhibit that currently features 100 maps and 28 interactive macroscopes from a wide range of disciplines. Since 2005, the exhibit has traveled to 28 countries and appeared in various formats at over 382 venues and events, including the Davos Economic Forum, National Academy of Sciences, and the New York Public Library. News coverage has appeared in Nature, Science, USA Today, and Wired. References [1] de Rosnay, Joël. 1979. The Macroscope: A New World Scientific System. New York: Harper & Row. Submission Details Interactive data visualizations designed for desktop, mobile, touch-enabled, and/or large (e.g., tiled wall) devices are all welcome. To be incorporated into the exhibit kiosk, macroscopes must be 1) web-based, 2) touch-enabled, 3) allowed to run inside an iframe element, 4) have CORS enabled for http://idemo.cns. iu.edu, and 5) served over HTTPS. Macroscopes will be deployed on a 46” multi-touch 1920 x 1080 display running Ubuntu 20.04 LTS and Chrome 91. Each macroscope should be fully functional for at least two years. Macroscopes might be deployed using other hardware, please contact the curatorial team to discuss options. Macroscope authors should be available to work with the exhibit staff over a period of three months to prepare the macroscopes for public display and travel. Each entry must be submitted by February 15, 2022, and needs to include: * Title of macroscope * Author(s) name, email address, affiliation, mailing address, and social media handles * Link to online site that features the macroscope tool or to executable code * Macroscope tool description (300 words max): user group and needs served, data used, data * analysis performed, visualization techniques applied, and main insights gained. Please also outline * the vision that this new macroscope embodies. * References to relevant publications or online sites that should be cited, links to related projects or * works * Describe the impact your data visualization has had on public awareness, social policy, or political * action. * Submit entries via https://forms.gle/wPr5X16Cm5MwDb7c9 Review Process Submissions will be reviewed and evaluated by the exhibit advisory board (listed below) in terms of their: * Scientific rigor * Value as a tool for data exploration * Ability to provide new, actionable insights * Relevance for a general audience Final Submission Authors of winning entries will be contacted by April 1, 2022 and invited to submit final entries by May 30, 2022. Each final entry consists of: * Link to online site that features the macroscope tool or link to executable code. This must be a * fully self-contained version of the macroscope that can operate without any outside links and * without opening new windows. * Biographies for all authors (100 words each) * High resolution author portraits that are no smaller than 360 x 450 pixels, or 1.2” x 1.5” at 300 dpi. * Signed copyright and reproduction agreement Authors are welcome to use the expertise and resources of the exhibit curators and designers. The macroscopes are expected to be ready for display by August 31, 2022. Exhibit Advisory Board * Gary Berg-Cross, Cognitive psychologist * Kevin Boyack, President, SciTech Strategies Inc. * Donna Cox, Advanced Visualization Laboratory, University of Illinois at Urbana-Champaign * Bonnie DeVarco, Media X, Stanford University * Ingo Günther, Karlsruhe University of Art and Design * Francis Harvey, Cartography and Visual Communication, Leipzig University * Peter A. Hook, Associate Law Librarian, University of Notre Dame * Vincent Lariviére, Professor of Information Science, Universitè de Montrèal * Lev Manovich, Computer Science, The Graduate * Elijah Meeks, Chief Visualization Officer & Co-founder, Noteable * André Skupin, Geography, San Diego State University * Olga Subirós, Big Bang Data, Olga Subiros Studio * Stephen Uzzo, Chief Scientist, New York Hall of Science * Caroline S. Wagner, Wolf Chair in International Affairs, The Ohio State University * Benjamin Wiederkehr, Interactive Things Please feel free to send any questions you might have regarding the judging process to Todd Theriault (ttheriau(a)indiana.edu<mailto:ttheriau@indiana.edu>) and use the subject heading “Macroscope Inquiry.” -- 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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Call for Nominations: IEEE VGTC Visualization Awards
by Chuck Hansen 19 Apr '23

19 Apr '23

The IEEE VGTC Visualization Awards program recognizes and honors individuals who have made a significant contribution to the community through their research and/or service. Furthermore, we seek out nominations of individuals that enable us to recognize both the diversity of individuals, as well as diversity of contributions, from the community at large. The VGTC Visualization Awards Program has five awards plus induction to the IEEE VGTC Visualization Academy: VGTC Visualization Dissertation Award The Doctoral Dissertation Award recognizes outstanding academic research and development in the field. VGTC Visualization Significant New Researcher Award The VGTC Significant New Researcher Award recognizes an individual who has made significant recent research contributions in the field. VGTC Visualization Technical Achievement Award The Technical Achievement Award is given each year to recognize an individual for a seminal technical achievement and/or significant contribution in the field. VGTC Visualization Lifetime Achievement Award The Lifetime Achievement Award is given to an individual to honor that person’s lifetime contribution to the field. VGTC Visualization Service Award The IEEE VGTC Service Award recognizes extraordinary service to the community through the IEEE VGTC and/or the IEEE VGTC Sponsored Conferences and Symposia. VGTC Visualization Academy Selection The IEEE VGTC Visualization Academy is a prestigious academy that highlights the accomplishments of the leaders in the field. The criteria for these awards can be found at: https://tc.computer.org/vgtc/award-criteria Nominations are due by April 30, 2022. Nominations, except Dissertation award, should contain the name of the person nominated, the awards for which they are nominated, the short citation for the award, and a summary that carefully addresses the criteria below while not exceeding 600 words. Dissertation Award nominations should include: (1) The title and abstract of the dissertation, (2) the name of the candidate, (3) the name of the candidate’s primary advisor, (4) the institution where the dissertation was defended, (5) the date of the dissertation defense, (6) A 1-2 page summary of the significance and impact of the dissertation research, (7) an electronic copy of the full dissertation, or a pointer to where it can be obtained, (8) one letter of recommendation, up to 2 pages in length, ideally from the candidate’s primary advisor, and (9) a list of publications, awards, and other recognition by peers produced from the dissertation work. To nominate someone for any of these awards or the academy, please visit: https://tc.computer.org/vgtc/vis-award-nominations/ If you have any questions, please contact: Chair of the VGTC Awards Program for Visualization Charles Hansen, University of Utah vgtc-vis-awards(a)vgtc.org

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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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CfP, 3rd IEEE VIS TREX wokshop on TRust and EXpertise in Visualization
by Nourani,Mahsan 13 Jul '22

13 Jul '22

Dear Colleagues/Friends, We are happy to invite submissions to the upcoming TREX workshop on TRust and EXpertise in Visualization, which will take place at IEEE VIS 2022. Please help us spread the word! Following the last two successful workshops, this year we will focus on **human-centered aspects of visualization and visual analytics systems that are powered by machine learning and artificial intelligence algorithms, including, but not limited to user trust, cognitive biases, domain expertise, transparency, and human-in-the-loop considerations**. For more information and updates, please follow us on Twitter @TrexInVIS (https://twitter.com/TrexInVIS ) or visit our website: https://trexvis.github.io/Workshop2022/index.html. Below is the formal call-for-papers for TREX 2022: ------------------------------------------------- **IMPORTANT DATES (All times in PST)** Submission Deadline: Jul 16, 2022 Author Notification: Aug 12, 2022 Camera-Ready Deadline: Aug 22, 2022 TREX 2021 Workshop: October 16 or 17, 2022 ( hybrid, online and in Oklahoma City, USA ) **WORKSHOP GOALS** Interactive visualization systems combine computational support, human cognitive, and perceptual skills to explore and analyze data. Many of these systems incorporate machine learning (ML) and Artificial Intelligence (AI) algorithms to introduce some level of automation to the analytical process. However, there are aspects that can impact the effectiveness of the human-machine collaboration, including, but not limited to: 1) People's domain and system expertise; 2) Human biases, including cognitive and perceptual biases; 3) Trust in ML models and visual representation of data. The goal of this workshop is to highlight and foster a conversation around the intersection of visualization and human-centered AI research and practice by providing an interdisciplinary platform from relevant fields to communicate challenges and novel findings around such topics. **TOPICS OF INTEREST** 1. Trust considerations based on different areas of domain expertise (e.g., medical, security, scientific, financial domains) 2. Trust and bias considerations based on different levels of user familiarity with machine learning and visual analytics systems 3. Detecting and preventing cognitive biases in visual analytics and machine learning for users. 4. User trust in machine learning models and visual explanations of model decisions in visual analytics systems. 5. The correlation between trust, domain knowledge, and potential cognitive biases. 6. The relationship between domain expertise and trust with model transparency, human interpretability, and model understandability in visual data analysis. 7. The relationship between model interpretability, domain expertise, and trust. 8. Human-centered considerations in Human-in-the-loop visualization tools and interpretable models. **CONTRIBUTION TYPES** We are looking for and open to diverse forms of research (as listed below) within the realm of visualization and machine learning with appropriate emphasis and relation to human trust, expertise, and cognitive factors. We encourage submissions of research involving: 1. Human empirical research/findings 2. Design guidelines and surveys 3. Technique papers 4. Position papers 5. Case studies **SUBMISSION FORMAT** The workshop will accept papers with 2 to 6 pages in length, plus 2 pages of references. All submissions must be in IEEE VGTC Conference Style Template format (Download the templates here: http://junctionpublishing.org/vgtc/Tasks/camera.html ). We also encourage authors to submit a short 30-second video of their work (for publication purposes) when submitting their work, if applicable. Depending on the conference format this year (i.e., virtual or hybrid), the authors of the accepted papers might be required to submit a longer video (e.g., 5 to 10 minutes) to substitute a live presentation. In such an event, we will send further instructions closer to the workshop. The submissions are made through the PCS (Precision Conference Solutions) website: https://new.precisionconference.com/user/login?next=https%3A//new.precision… . At least one author from each accepted paper needs to register for the conference (please refer to the IEEE VIS Website http://ieeevis.org/ for the registration requirements). The submissions are not required to be anonymized and may include the full name of authors, their email, and affiliation as well as an acknowledgment. **PUBLICATION** The workshop accepts papers in two formats, as seen below. Upon submitting the papers, authors are asked to determine their desired paper format: 1. Archival Short paper publication through IEEE Xplore. This means that the papers can only be published in a proper journal as an extended version with at least 30% new content. This means each paper will be published and available through IEEE Xplore with an assigned DOI and are citable. While the papers published in this format can be extended to a journal publication (with 30% new content, subject to the rules of that journal), this content cannot be re-used for a future conference submission, such as IEEE VIS, EuroVis, and CHI. 1. Short paper statements or Work-in-progress notes, which will be non-archival. In other words, the authors maintain the copyright of their paper and are allowed to reuse their material in future publications. **ORGANIZERS** Mahsan Nourani -- University of Florida Eric Ragan -- University of Florida Alireza Karduni -- Northwestern University Cindy Xiong – University of Massachusetts at Amherst Brittaney Davis – Pacific Northwest National Laboratory **PROGRAM COMMITTEE** TBD **CONTACT** For more information, you can email us at trex(a)ieeevis.org, follow us on Twitter @TrexInVIS, or visit our workshop website https://trexvis.github.io/Workshop2022/. Best, Mahsan --- Mahsan Nourani, Graduate Research Assistant, INDIE Lab, Department of Computer and Information Science and Engineering, University of Florida mahsan.page<https://mahsan.page/>

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IEEE VIS Arts Program 2022 - deadline extended
by Charles Perin 31 May '22

31 May '22

The submission deadline for the VISAP Arts Program (VISAP) 2022 is extended to June 9, 2022. This gives you another week to finalize your submission(s)! The VIS Arts Program (VISAP) is a mini-conference and exhibition where visualization researchers, designers, and (media) artists come together to showcase and discuss works at the intersection of data visualization, art, and design. It is the biggest associated event in the IEEE VIS conference, and its main goal is to foster new thinking, discussion, and collaboration across and between fields of research and practice. The theme for VISAP’22 is “mingling spaces.” For 10 years the VIS Arts Program, and before this, the VIS Arts Show, have represented a mingling space, a space “to bring or mix together or with something else, usually without fundamental loss of identity” [Merriam-Webster]. VISAP’22 will take place in a hybrid format, and we will therefore experiment with different forms of mingling, attempting to bridge and mix not only disciplines, methodologies, and techniques but also the virtual and the physical, the immaterial and the material; people and artifacts online and offline, remote and on-site. In line with this experiment, we invite submissions that explore, re-interpret, speculate and reflect on the idea of mingling spaces. VISAP welcomes a wide range of submissions, including interactive artworks, design projects, novel visualization tools and applications, art-science or artist-in-lab projects, critical interpretations and evaluations of data visualizations, and philosophical meditations on the intersections between art and research. These can either be submitted to a paper track, or to an exhibition track. For details, visit https://visap.net/ Contact: art(a)ieeevis.org<mailto:art@ieeevis.org> Twitter: https://twitter.com/visapnet General Chairs: Charles Perin – University of Victoria Uta Hinrichs – University of Edinburgh Exhibition Chairs: Rebecca Ruige Xu – Syracuse University Peter Froslie – University of Oklahoma Design Chairs: Bon Adriel Aseniero – Autodesk Tommaso Elli – DensityDesign, Politecnico di Milano --- Charles Perin | he/him | Assistant Professor | University of Victoria | http://charlesperin.net<http://charlesperin.net/> We acknowledge and respect the lək̓ʷəŋən peoples on whose traditional territory the university stands and the Songhees, Esquimalt and W̱SÁNEĆ peoples whose historical relationships with the land continue to this day.

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CFP: Frontiers in Virtual Reality, Digital twins of natural landscapes
by Jade 31 May '22

31 May '22

Manuscript submission is now open for a new article collection on “Digital twins of natural landscapes” in *Frontiers in Virtual Reality*. You can find more information or submit in frontiersin.org/research-topics/35674/ Topics include, but are not limited to the following: • Computational methods to model and simulate plants in 3D and/or XR • Computational methods to model plants interaction, the impacts of disturbances (e.g., fire, climate change) on forests, and ecosystems in 3D and/or XR • Forest data and scenario visualization • Applications, validations and evaluations of XR on forestry and ecology • Games (including serious games and general games), educational applications and trainings in the context of forestry and ecology • Reviews on state of the art forest visualization methods in 3D and/or XR • Human perception of forest landscape in XR Frontiers in Virtual Reality is a high visibility journal publishing rigorously peer-reviewed research across the entire breadth of Extended Reality. All research will be published Open Access. Additionally, we aim to put together a free eBook of all published manuscripts to provide an up-to-date and comprehensive overview of the latest research developments in the field. Deadline for abstracts: *June 12, 2022* Deadline for papers: *August 11, 2022* Please note that publishing fees are applied to accepted articles, but the team at Frontiers is happy to advise you in this regard. You can reach out to our dedicated point of contact at Frontiers if you have any questions: virtualreality.submissions(a)frontiersin.org Regards, Jiawei Huang, Arnadi Murtiyoso, Pejman Sajjadi -- Dr. Jiawei(Jade) Huang https://sites.psu.edu/jade/

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Call for Graduate Symposium | DIAGRAMS 2022
by DIAGRAMS CONFERENCE 30 May '22

30 May '22

*REMINDER: Deadlines for the Diagrams 2022 Graduate Symposium is coming soon! * http://www.diagrams-conference.org/2022/index.php/calls/graduate-symposium/ The Graduate Symposium offers senior graduate students and recent Masters and Doctoral graduates the opportunity to present their research. Established researchers will provide feedback and comments on each of the presentations, and students will have the opportunity to network with each other as future colleagues. Participants will be selected for the Graduate Symposium based on the submission of a 3-page report describing their research (details given below). Submissions will be peer reviewed. Authors of accepted submissions will be expected to be in attendance at the virtual conference to present their research and respond to questions presented by delegates. Students who submit to the graduate symposium must ask their main or lead supervisor to submit a short supporting statement (see website for details). *Important Dates for Graduate Symposium*Submission Deadline: *June 6, 2022* Supervisor statement deadline: *June 13, 2022* Notification: *July 18, 2022* Camera-Ready: *August 11, 2022* *Conference Dates (Rome, Italy)* Workshops & Tutorials : *September 13, 2022* Main Conference : *September 14-16, 2022* Graduate Symposium : *September 17, 2022* *All important dates and information can be found at www.diagrams-conference.org/2022 <http://www.diagrams-conference.org/2022>* We look forward to seeing you in Rome! -- *Publicity Chair, Diagrams Conference 2022* Amy Rae Fox (she / her) <https://www.mypronouns.org/what-and-why/> PhD Candidate Cognitive Science, UC San Diego www.amyraefox.com @thoughtafox <https://twitter.com/thoughtafox>

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CFP: June 15 submission deadline for Interactive Visual Analytics for Knowledge Integration and Decision Intelligence @ HICSS
by Ebert, David 29 May '22

29 May '22

Dear colleagues--- Please consider submitting a paper to the Interactive Visual Analytics for Knowledge Integration and Decision Intelligence ( Decision Analytics and Service Science Track, HICSS 56) by June 15, 2022 to be held at the Hyatt Regency Hotel, Maui January 3-6, 2023. Interactive Visual Analytics for Knowledge Integration and Decision Intelligence supports human decision making through interaction with data and statistical and machine learning processes, with applications in a broad range of situations where human expertise must be brought to bear on problems characterized by massive datasets and data that are uncertain in fact, relevance, location in space and position in time. In partnership with organizations in defence, health care, and business, visual analytics research methods combining laboratory studies, cognitive ethnography, and field experiments have aided the design of information systems for decision making about injuries to children, multiomic precision health, radiological diagnosis, and VR for conflict zone operations. Submissions are encouraged that focus on the core issues of theory and methods for visualization, analytics, knowledge integration and decision intelligence in organizations. Case studies of applications of these methods to new analytic and decision making tasks in science and technology, public health, business intelligence, financial analysis, social sciences, and other domains are particularly welcome. Submissions may include studies of visual analytics and decision support in the context of an organization (e.g., communication between analysts and policy-makers), perceptual and cognitive aspects of the analytic task, Interactive Machine Learning, and collaborative analysis using visual information systems. Additionally, submissions may include understandable, trustable AI as well as human-guided AI to round out the problem-solving process. Emphasis will be given to submissions that use visual analytics for social change discovery, analysis, communication, and focus on mixed-initiative human/AI analysis. This proposal builds upon our successful HICSS-47, HICSS-48, HICSS-49, HICSS-50, HICSS-51, HICSS-52, HICSS-53 and HICSS-54 +HICSS-55 minitracks on visual analytics for decision support and our earlier minitracks on visual analytics, mobile computing, and digital media at scale. It seeks to define analytical methods and technologies that use interactive visualization to meet challenges posed by data, platforms, and applications for decision making and risk-based decision making: Analysis of multi-perspective knowledge integration, synthesis and engineering in organizations. Use of interactive visualization and visual analytics in digital economies Visual analytics and visualization in "wicked" problem solving in organizations Analysis of datasets of varying size and complexity from archives and real-time streams Collaborative visual analysis and operational coordination within and across organizations. Interactive and visual risk-based decision making Interactive machine learning methods Managing response time of complex analytical tasks Effective deployment and case studies of success from deployed visualization and analytics experiences Visualization and analytics for data-driven policy making and decision support Issues and challenges in evaluation of visual decision making Mixed-initiative analysis methods for decision making Cognitive and social science aspects of visual decision-making environments For HICSS 2023 we extend our focus to multidisciplinary collaboration among researcher from a variety of research perspectives. Authors are encouraged to bring the lens of their own background and expertise to focus on the analytics of the data itself and coordination of multiple levels of analysis, decision-making and operations to the design and evaluation of effective presentations for stakeholders. We invite computational, cognitive, and organizational perspectives on advanced data processing and interactive visualization for analysis and decision-making across a range of human endeavors. We also invite participation from researchers who are looking at scaling issues and multiscale issues, whether these scales refer to the time of decision making, the form-factor and operational constraints of mobile devices, the number of decision makers or the more traditional notion of multiscale simulation and real-world scales of data. We are particularly interested in approaches that combine computational and interactive analytics in "mixed initiative" or Interactive Machine Learning systems, decision support in the context of an organization (e.g. communication between analysts and policy-makers), perceptual and cognitive aspects of the analytic task, and collaborative analysis using visual information systems. More information about this minitrack can be found here: https://hicss.hawaii.edu/tracks-56/decision-analytics-and-service-science/#…<https://urldefense.com/v3/__https:/hicss.hawaii.edu/tracks-56/decision-anal…> . Please see author instructions at: https://hicss.hawaii.edu/authors/<https://urldefense.com/v3/__https:/hicss.hawaii.edu/authors/__;!!GNU8KkXDZl…> and feel free to contact the co-chairs with any questions. Minitrack Co-Chairs: David Ebert University of Oklahoma ebert(a)ou.edu<mailto:ebert@ou.edu> Brian Fisher Simon Fraser University bfisher(a)sfu.ca<mailto:bfisher@sfu.ca> Kelly Gaither University of Texas at Austin kelly(a)tacc.utexas.edu<mailto:kelly@tacc.utexas.edu> Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS 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<mailto:ebert@ou.edu>

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[cfp] Digital Creativity, Industry and Culture (DCIC 2022)
by Jonathan Hook 24 May '22

24 May '22

DCIC 2022 A multidisciplinary conference on Digital Creativity, Industry and Culture (DCIC 2022) DCIC 2022 is a forum for researchers and practitioners to share insights on the impact of interactive, immersive and artificially intelligent technologies on creative practices and the industries, societies and cultures through which they emerge. DCIC aims to create a sense of shared multi-disciplinary identity and foster new interdisciplinary links, by combining three interconnected perspectives: - technology-driven creative practices and technology advancements driven by creative practices - working practices and economic development in the creative and cultural industries - digital culture and society Through DCIC, we seek to bring together researchers from a variety of disciplines across STEM, arts and humanities, and the social sciences. We invite proposals for short presentations that expose thought-provoking aspects concerning digital creativity, industry and culture. These include but are not limited to: - new user experiences - new forms of content and artistic expression - new forms of mediated interaction beyond entertainment audience insights - new authoring tools, creative processes and production workflows - content distribution architectures and systems - virtual and real-time production, approaches and working practices - industry responses to new immersive technologies and media - skills gaps and training needs - EDI implications in the creation, distribution and consumption of digital media - politics, inequalities and power relations of technology innovations and digitalisation - interactive and immersive technologies in relation to activism and political discourse - digital technologies and well-being - utopic and dystopic futurisms for a digitally mediated world. The conference format has been designed to maximise the potential for crossing disciplinary boundaries and encouraging multi-disciplinary connections and debates. Each conference session will be curated in such a way as to include related complementary contributions from each of the three perspectives mentioned above as well as a fair distribution of topics. DCIC expects a significant participation from industry partners, facilitated through the University of York’s rich network of collaborators maintained through the sponsoring bodies listed further below. It will thus be a platform for conversations and debates between academic research and industry R&D and practice. Format: - Attendance is free. - The conference will take place in-person at the University of York. Please do not hesitate to get in touch about any questions regarding accessibility requirements or requests. - Filmed presentations will be accepted. The plenary sessions will be live-streamed. - Presentations: max 7 minutes each. The presentations should be rooted in existing research, while being challenging and thought provoking. - Sessions will be curated to bring together related papers that provide perspectives from different disciplines to maximise cross-discplinary dialogues and debates. - Parallel streams will be linked through plenary panels and discussions - All the presenting authors will be encouraged to submit their presentation for publication on the conference web page prior to the conference day. A list of possible publication formats will be later circulated (e.g. slide deck, text, video recording, etc.) - Selected presentations will be invited to be written as articles for publication in an edited book. - Those selected for presentation will be automatically registered as participants at the conference. Submission guidelines: - Please submit abstracts of between 300-400 words by 27 June 2022. - Please click on this link to access the submission form - https://tinyurl.com/tkvrwzz6 <https://tinyurl.com/tkvrwzz6> - We aim to notify all proposers of selected presentations by 15 July 2022. Important Dates: 27 June 2022 – abstract submission deadline 15 July 2022 – invitation for presentation 22 July 2022 – registration opens 20 September 2022 – date of the conference Sponsors: The School of Art and Creative Technologies at the University of York - a collaboration between the Department of Music and the Department of Theatre, Film, TV and Interactive Media. Digital Creativity (DC) Labs XR Stories, the Yorkshire Creative Cluster Partnership Screen Industry Growth Network (SIGN) Any enquiries, please contact enquiries(a)digitalcreativity.ac.uk <mailto:enquiries@digitalcreativity.ac.uk>

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Second Call for Papers: Graph Drawing and Network Visualization - GD 2022
by Patrizio Angelini 24 May '22

24 May '22

Sorry if you have received multiple copies of this email ================================================================ Call for Papers GD 2022 30th International Symposium on Graph Drawing and Network Visualization September 13-16, 2022 - Tokyo, Japan https://graphdrawing.github.io/gd2022/ ================================================================ This is a gentle reminder that the deadline for submitting your papers to GD 2022 is approaching: Abstract submission deadline: June, 1st Paper submission deadline: June, 8th. Given the current status of the restrictions in Japan, the conference will be held in online hybrid mode. All authors will be given the possibility to present their work from remote. The organization committee is also preparing for an on-site component, but this possibility cannot be confirmed at the current stage. Please find more information at: https://graphdrawing.github.io/gd2022/pages/news/ Please recall that, for the first time in the GD conference, this year the review process will be handled in a “lightweight double-blind mode”: authors are not allowed to reveal their identity in the submitted paper, but are free to disseminate draft versions of the paper prior to the conference and to give talks on the topic as they normally would. More details can be found in the full call for papers, which can be accessed at the following links and is reported below for your convenience: HTML version on the conference website: https://graphdrawing.github.io/gd2022/pages/cfp/ PDF version: https://graphdrawing.github.io/gd2022/assets/pdfs/CallforPapers2022.pdf ================================================================ CALL FOR PAPERS ------ Graph Drawing is concerned with the geometric representation of graphs and constitutes the algorithmic core of Network Visualization. Graph Drawing and Network Visualization are motivated by applications where it is crucial to visually analyze and interact with relational datasets. Examples of such application areas include data science, social sciences, web computing, information systems, biology, geography, business intelligence, information security, or software engineering. GD has been the main annual event in this area for about 30 years. Its focus is on combinatorial and algorithmic aspects of graph drawing, as well as the design of network visualization systems and interfaces. Researchers and practitioners working on any aspects of graph drawing and network visualization are invited to contribute papers and posters and to participate in the symposium and the graph drawing contest. GD 2022 will be held at the Tokyo Institute of Technology, Japan, on September 13-16, 2022, with a reception on the evening of September 13. A pre-conference PhD school is planned for September 12-13, 2022. While we hope that a physical conference will be possible, details of the exact format of the venue (onsite, online, hybrid) will be announced before the submission deadline. Regardless of the format, we are committed to offering remote participation for both presenters and the audience. The code of conduct for the GD conference can be found at http://graphdrawing.org/codeOfConduct.html PAPERS ------ We invite authors to submit papers describing original research of theoretical or practical significance to graph drawing and network visualization. To promote a balanced coverage of the field, GD has two distinct tracks, and papers submitted to one track will not compete with papers submitted to the other track. Regular papers must be submitted explicitly to one of the two tracks. However, all program committee members may review papers from either track. Track 1: Combinatorial and algorithmic aspects ---------------------------------------------- This track is mainly devoted to fundamental graph drawing advances, such as combinatorial aspects and algorithm design. The range of topics for this track includes (but is not limited to): * Design and analysis of graph drawing algorithms * Geometric and topological graph theory * Computational topology of graphs on surfaces * Geometric network design and optimization * Geometric computing Track 2: Experimental, applied, and network visualization aspects -------------------------------------------------------------- This track is mainly devoted to the practical aspects of graph drawing, such as the development and evaluation of network visualization algorithms, systems, and interfaces in different application areas. The range of topics for this track includes (but is not limited to): * Visualization of networks in real world applications * Engineering of graph drawing algorithms and network visualization systems * Benchmarks and experimental studies of algorithms, systems, and user interfaces for graph drawing and network visualization * Cognitive studies on network visualization readability and user interaction * Interfaces and methods for interacting with graphs and networks Authors of accepted applied papers can request the opportunity to show a demo of their software/system during the poster session. Short papers ------------ In addition to the above two tracks, there will be a separate category for short papers, describing theoretical or applied contributions of shorter length. Papers in this category will be assigned a shorter time for presentation during the conference. Submission format ----------------- All submissions must be formatted using the appropriate LaTeX style file, either gd-llncs.cls<https://graphdrawing.github.io/gd2022/assets/template/gd-llncs.cls> for long papers or gd-llncs-short.cls<https://graphdrawing.github.io/gd2022/assets/template/gd-llncs-short.cls> for short papers; these are derived from the style file used for the conference series Lecture Notes in Computer Science (LNCS) provided by Springer. The default margins and fonts must not be modified; in particular, the use of packages such as times.sty is not allowed. Submissions that do not comply with this format risk rejection without consideration of their merits. To promote inclusion of figures in the submitted papers, submissions will have a strict number of lines limit. Regular papers must have at most 400 lines and at most 14 pages (excluding references). Short papers must have at most 225 lines and at most 7 pages (excluding references). When counting the lines, the following sections should be excluded: title, authors block, keywords, references. For figures, tables, and algorithm pseudo-code, only the lines of the main caption should be counted. Lines in all the rest of the paper should be counted, including the abstract. The claims of the paper should be fully substantiated. If this information does not fit within the line/page limits, the authors should include it in a clearly marked appendix, whose length is not constrained and which the reviewers may read at their own discretion. All submissions will be handled through EasyChair at the web site https://easychair.org/conferences/?conf=gd2022 Posters & Contest ----------------- Submissions of posters on graph drawing, network visualization, and related areas are solicited. The poster session will provide a forum for the communication of late-breaking research results (which may also appear elsewhere) to the GD community. Authors of posters should prepare an abstract (up to 2 pages in the LNCS style) that must be submitted together with the poster itself. Details about the traditional Graph Drawing Contest held at the conference are provided on the conference web site https://graphdrawing.github.io/gd2022/pages/contest/ LIGHTWEIGHT DOUBLE-BLIND REVIEW PROCESS -------------------------------- This year, for the first time in the GD conference, the review process will be handled in a “lightweight double-blind mode”. This means that authors are not allowed to reveal their identity in the paper that they submit to GD'22, but are free to disseminate draft versions of the paper prior to the conference and to give talks on the topic as they normally would. In particular, the submitted paper should not contain authors' names, affiliations, and email addresses. References to their own related work are allowed, as long as the supporting text maintains anonymity (e.g., using sentences in the third person, anonymising references). Members of the Program Committee will not have the identity of the authors of any paper revealed to them during the entire review process. To handle conflicts of interest effectively, authors will be offered the opportunity to declare conflict of interest with relevant PC members when they submit their paper. PUBLICATION: PROCEEDINGS AND SPECIAL ISSUES ----------------------- All accepted papers (including the two-page poster abstracts) will appear in the conference proceedings, published by Springer in the Lecture Notes in Computer Science (LNCS) series. The LNCS proceedings will be made freely accessible to the GD community upon publication and openly accessible to anyone after four years. Authors will be required to submit their accepted papers to the arXiv repository at the same time as submitting their camera-ready versions, in order to provide immediate and unrestricted open access to them. The self-archived arXiv papers shall consist of the LNCS proceedings version (identical, except for possibly changed references to the appendix resp. the arXiv version) plus an optional clearly marked appendix. This appendix could contain a long version of the entire paper or proofs that have been omitted from the main text. Subsequent submissions of revised versions of the paper to the arXiv (known as arXiv "replacements") are allowed. Upon submission of the camera-ready version of an accepted paper, the authors will be required to specify the arXiv identifier associated with the paper for inclusion in a conference index, which will be also published in the arXiv repository. Failure to comply with these guidelines will impede the publication of the paper. Each paper or poster must be presented at the conference by an author (barring unforeseen circumstances), otherwise the paper will not be included in the proceedings. Should any visa/travel restriction prevent an author from attending the conference and presenting a paper, he/she will be given ways to participate and give the talk via electronic means. Selected papers from both tracks will be invited for submission to a special issue of the Journal of Graph Algorithms and Applications (JGAA). The authors of two selected papers in Track 2 will be invited to submit a substantially extended and enhanced version of their work to IEEE Transactions on Visualization and Computer Graphics (TVCG). Invitations to the special issues will be sent at most two weeks after the conference. A TVCG papers session at the Graph Drawing conference will also feature regular TVCG papers. Please find more details at https://www.computer.org/digital-library/journals/tvcg/tvcg-partners-with-c… AWARDS ------ For each of the two tracks, the Program Committee of GD 2022 will bestow a Best Paper Award. In addition, to recognize the effort of participants to present their work and to prepare their posters in a clear and elegant way, there will be a Best Presentation Award and a Best Poster Award voted on by the GD 2022 attendees. IMPORTANT DATES --------------- Abstract submission deadline June 1 (23:59 PDT) Paper submission deadline June 8 (23:59 PDT) Notification of paper acceptance July 18 Poster submission deadline August 10 (23:59 PDT) Notification of poster acceptance August 19 Final versions due September 5 (23:59 PDT) Contest submission deadline September 6 (23:59 PDT) Symposium September 13-16 Invitations to special issues September 30 INVITED SPEAKERS ---------------- Ulrik Brandes, ETH Zurich, Switzerland Kazuo Misue, University of Tsukuba, Japan PROGRAM COMMITTEE ----------------- Patrizio Angelini (co-chair), John Cabot University, Italy Therese Biedl, University of Waterloo, Canada Sabine Cornelsen, Universität Konstanz, Germany Giordano Da Lozzo, Roma Tre University, Italy Stephan Diehl, Universität Trier, Germany Henry Förster, Universität Tübingen, Germany Martin Gronemann, TU Wien, Austria Yasuhiro Hashimoto, The University of Aizu, Japan Michael Hoffmann, ETH Zurich, Switzerland Hiroshi Hosobe, Hosei University, Japan Yifan Hu, Yahoo! Research, USA Takayuki Itoh, Ochanomizu University, Japan Philipp Kindermann, Universität Trier, Germany Karsten Klein, Universität Konstanz, Germany Stephen Kobourov, University of Arizona, USA Jan Kratochvíl, Charles University of Prague, Czech Republic Kim Marriott, Monash University, Australia Irene Parada, TU Eindhoven, The Netherlands Sergey Pupyrev, Facebook, US Helen Purchase, University of Glasgow, Scotland Arnaud Sallaberry, LIRMM, Université Paul-Valéry Montpellier, France Ingo Scholtes, University of Zurich, Switzerland Falk Schreiber, Universität Konstanz, Germany André Schulz, FernUniversität in Hagen, Germany Andrew Suk, University of California San Diego, USA Antonios Symvonis, National Technical University of Athens, Greece Alessandra Tappini, University of Perugia, Italy Meirav Zehavi, Ben-Gurion University, Israel Reinhard von Hanxleden (co-chair), Christian-Albrechts-Universität zu Kiel, Germany Tatiana von Landesberger, Universität Köln, Germany ORGANIZING COMMITTEE -------------------- Takayuki Itoh (chair), Ochanomizu University, Japan Ken Wakita, Tokyo Institute of Technology, Japan Masahiko Itoh, Hokkaido Information University, Japan Hsiang-Yun Wu, St. Pölten University of Applied Sciences, Austria Rina Nakazawa, IBM Research, Japan Yuri Miyagi, National Institute of Advanced Industrial Science and Technology (AIST), Japan CONTEST COMMITTEE ----------------- Philipp Kindermann (chair), Universität Trier, Germany Tamara Mchedlidze, Utrecht University, The Netherlands Wouter Meulemans, TU Eindhoven, The Netherlands

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