November 2022 - Infovis

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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Graduate Research Internship (Summer '23)
by Fritz Lekschas 29 Nov '22

29 Nov '22

Are you a PhD student interested in how data visualization, human-computer interaction, human-centered ML/AI, and computational biology can help scientists better understand the human immune system? At Ozette (https://ozette.com) a biotech startup from Fred Hutch and AI2, we are looking for a summer intern to research with us on the above-mentioned and related areas. If this sounds interesting to you, feel free to reach out to me (fritz(a)ozette.com) and apply at https://www.ozette.com/careers-apply/?jobid=4739131004#job-apply. Thanks, Fritz --- GRADUATE RESEARCH INTERNSHIP URL: https://www.ozette.com/careers-apply/?jobid=4739131004#job-apply ABOUT US: Ozette is a biotech startup that set out to develop a revolutionary immune profiling platform to turn data into actionable, interactive insights. Each year people are diagnosed with cancer, autoimmune diseases, and more. The immune system is the ultimate determinant of health and disease; however, it remains a black box. Leveraging our AI-first technology, we want to provide high-resolution understandings of the immune system to fully unlock its power. If you’re passionate about leveraging technology to improve health, explore interning with our innovative and creative team for three months. You will work on some of the most exciting initiatives by combining human-centered AI/ML and interactive visual interfaces to help solve scientific questions and aid interpretability. WHAT YOU’LL DO AT OZETTE: - Conduct cutting-edge research involving but not limited to data visualization, HCI, human-centered ML (CV/NLP), and computational biology WE’D LOVE TO HEAR FROM YOU IF YOU ARE: - Enrolled in a PhD program in a computational field - Excited about interdisciplinary research problems - Excited about conducting rigorous research and writing high-quality software WHY YOU WILL LOVE INTERNING WITH US: Ozette is dedicated to building a world-class science and technology team known for its products and services, high standards, employee development and retention. At the heart of great companies are great teams. We strive to give you everything you need to do good research and beyond. As an intern at an early stage startup, your research will have a direct impact on our products and will advance some of the most exciting initiatives that bridge AI/ML with hard science, packaged with a brilliant user experience. We strive to publish the research you'll conduct during the internship. Our work and teams thrive most when we are diverse and inclusive, so we take equal opportunity seriously. We commit to fostering a respectful, diverse, and inclusive environment where all team members can contribute and develop to their fullest potential. We welcome individuals of all backgrounds, orientations, and identities to join our community. Applications from women and members of underrepresented minority groups are particularly welcomed. -- Fritz Lekschas, PhD Head of Visualization Research | fritz(a)ozette.com Better data for better outcomes CONFIDENTIALITY NOTICE: This message, including any attachments, may include privileged, confidential or, inside information. Any distribution or use of the communication by anyone other than the intended recipient(s) is strictly prohibited and may be unlawful. If you are not the intended recipient, please notify the sender by replying to this message and then delete it from your system. Thank you.

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[Event] Visual Computing Trends @ Vienna
by Johanna Schmidt 28 Nov '22

28 Nov '22

We would like to invite you to Vienna to the one-day event *Visual Computing Trends*! In the frame of the Visual Computing Trends symposium (26.01.2023), VRVis invites four renowned international speakers to provide their insights and perspectives into the latest visual computing and computer graphics research. *Key Notes:* *Marie-Paule Cani*: Creative AI: Turning 3D virtual worlds into interactive scientific test-beds? *Eduard Gröller*: The Future of Scalable Interactive Visual Analysis *Ming C. Lin*: Reconstructing Reality: Building and Interacting with Digital Twins in the MetaVerse *Anders Ynnerman*: Exploranation - creating visual bridges between researchers and the general public January is a great time to visit Vienna, as this is Ball season. There is the possibility to visit the TU Ball afterwards - please contact us! *More information: www.vrvis.at/vct2023* -- Dr. Johanna Schmidt Head of Visual Analytics Group VRVis Forschungs-GmbH,www.VRVis.at, FN: 195369h, HG Wien mail:johanna.schmidt@vrvis.at tel +43(0)1 9089892 302

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Call for Papers: Special Issue on Visualization and Decision Making Design Under Uncertainty
by Nadia Boukhelifa 27 Nov '22

27 Nov '22

Call for Papers: Special Issue on Visualization and Decision Making Design Under Uncertainty CG&A seeks submissions for this upcoming special issue https://www.computer.org/digital-library/magazines/cg/cfp-visualization-des… <https://www.computer.org/digital-library/magazines/cg/cfp-visualization-des…> Important Dates --- Submissions due: 6 February 2023 Publication: September/October 2023 Visualization has become a core component of any decision or risk analysis pipeline, and tools for creating visualizations are quickly becoming more and more accessible. In addition, the visual literacy of the general public has been increasing due to the pervasiveness of visualizations in everyday life. As the appetite for decision making tools grows, so does the need to convey error, confidence, missing, or conflicting data visually. However, practices around uncertainty visualization remain domain-specific, rooted in convention, and in many instances, absent entirely. The goal of this special issue is to build a foundation of accessible, practical knowledge that practitioners and researchers alike can rely on in addressing challenges related to uncertainty in visualizations. We seek high-quality papers that highlight challenges, elucidate solutions, and provide guidelines for handling uncertainty. Topics of interest include: Uncertainty visualization algorithms Novel encodings of uncertainty for high dimensional data Uncertainty visualization algorithms for ML and ML for uncertainty visualization Role of uncertainty visualization in decision making Ethical concerns for inclusion of uncertainty Effectiveness and efficiency of uncertainty visualization techniques Uncertainty awareness, communication, and trust Uncertainty visualization software HCI and design with uncertainty Visual expressions of uncertainty quantifications and propagation Application case studies using uncertainty visualization Perceptual issues involving uncertainty and decision making Submission Guidelines --- For author information and guidelines on submission criteria, please visit the CG&A Author Information page <https://www.computer.org/csdl/magazine/cg/write-for-us/15470?title=Author%2…>. Please submit papers through the ScholarOne system <https://mc.manuscriptcentral.com/cs-ieee>, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. Questions? -- Contact the guest editors at cga5-2023(a)computer.org <mailto:cga5-2023@computer.org> Guest Editors Nadia Boukhelifa; INRAE, Paris, FR Chris R. Johnson; University of Utah , Salt Lake City, UT, US Kristi Potter; NREL, Golden, CO, US

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UBC assistant prof joint CS/Psych TT position
by Tamara Munzner 23 Nov '22

23 Nov '22

Dear Colleagues, UBC has an open * faculty position (tenure-track assistant professor level)* that is joint between our Computer Science and Psychology departments. A few key details: - *Applications close on December 22, 2022.* - Eligible research areas are broad, but expected to be “adjacent” to Cognitive Science/Systems. - This research position comes with a requirement to contribute undergrad teaching in UBC’s innovative Cognitive Systems program <https://cogsys.ubc.ca/>, with teaching load commensurate with the two appointing departments. - The appointment will be 50/50 in Computer Science and Psychology, with the “administrative home” being chosen by the successful candidate. There is no expectation to have published in both CS and Psychology venues. However, a successful candidate will be relatable to colleagues in both appointing departments, and we’re especially excited about applicants whose research trajectories will naturally tend towards collaborative bridging between these units. - The position is at UBC’s Vancouver campus, and is to be held in-person. Full information can be found on the UBC Computer Science department website <https://www.cs.ubc.ca/our-department/employment/computer-science-and-psycho…> . [https://www.cs.ubc.ca/our-department/employment/ computer-science-and-psychology-assistant-professor-tenure-track] Please do circulate this opportunity to anyone you know who you see as a good fit, including your own mentees: a specialization in visualization is certainly one possible fit for this position! Feel free to contact me with any questions about the position or UBC Computer Science. Cheers, Tamara ---- Tamara Munzner Professor, Department of Computer Science, University of British Columbia http://www.cs.ubc.ca/~tmm, tmm(a)cs.ubc.ca

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Seminar announcement: Visualising science: communicating complex research with information graphics at Nature
by Helena Jambor 23 Nov '22

23 Nov '22

How do the pros @Nature take a sad plot and make it better? Or even bombastic-fantastic? —> Join us Nov 29 at 5 pm Berlin / 4 pm London / 11am East Coast US / 8 am California / ************ Visualising science: communicating complex research with information graphics at Nature with: Nik Spencer – Art editor, Nature Jasiek Krzysztofiak – Art Editor, Nature Abstract: The presentation will discuss how the main concepts of research papers are identified to produce concise, informative graphics aimed at non-specialist readers for Nature News & Views articles. Drafts submitted by authors will be considered and assessed, followed by a summary of the process involved in adapting and developing the ideas into figures for publication. There will be an overview of the core principles of Nature graphic style, how this is applied to determine figure content and design, and how this style is used to highlight key points in the research. Where Zoom link: https://tu-dresden.zoom.us/j/86078643977?pwd=dFZiNEIzcWhNUVRDZmt1MVdpWFpjUT… Meeting ID: 860 7864 3977 Passcode: T3ht0M#! http://biovis.net/2022/meetup/2022/10/10/fifth-meetup.html Helena / Heba for the BioVis community ______________________________ Dr Helena JAMBOR National Center for Tumor Diseases, University Cancer Center, NCT-UCC Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden Fetscherstraße 74, 01307 Dresden Tel +49 (0)351 458 - 11780 Email helena.jambor(a)tu-dresden.de<mailto:helena.jambor@tu-dresden.de> Twitter @helenajambor

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[CFP] BigVis 2023 :: 6th Big Data Visual Exploration & Analytics Workshop @ EDBT/ICDT 2023 Ioannina, Greece
by Nikos Bikakis 21 Nov '22

21 Nov '22

Call for Papers BigVis 2023: 6th International Workshop on Big Data Visual Exploration and Analytics https://bigvis.imsi.athenarc.gr/bigvis2023 March 28 2023, Ioannina, GR Held in conjunction with the 26th Intl. Conference on Extending Database Technology & 26th Intl. Conference on Database Theory (EDBT/ICDT 2023) 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 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 23, 2023 (AoE) Notification: February 18, 2023 Camera-ready: February 25, 2023 Workshop: March 28, 2023 Special Issue ------------------------------------ TBD Organizing Committee ------------------------------------ Nikos Bikakis, HMU & ATHENA Reacher Center, Greece Issei Fujishiro, Keio University, Japan Steffen Frey University of Stuttgart, Germany George Papastefanatos, ATHENA Reacher Center, Greece Shixia Liu, Tsinghua University, China Program Committee ------------------------------------ James Abello, Rutgers University, USA Gennady Andrienko, Fraunhofer, Germany Natalia Andrienko, Fraunhofer, Germany Marco Angelini, Sapienza University of Rome, Italy Michael Behrisch, Utrecht University, Netherlands Jürgen Bernard, University of Zurich, Switzerland Jacob Biehl, University of Pittsburgh, USA Yiru Chen, Columbia University, USA Eva Chondrodima, University of Piraeus, Greece Panos Chrysanthis, University of Pittsburgh, USA Daniel Deutch, Tel Aviv University, Israel Katerina Doka, National Technical University of Athens, Greece Mennatallah El-Assady, University of Konstanz, Germany Jean-Daniel Fekete, INRIA, France Irini Fundulaki, ICS-FORTH, Greece Christoph Garth, Technische Universität Kaiserslautern, Germany Parke Godfrey, York University, USA Herodotos Herodotou, Cyprus University of Technology, Cyprus Ekaterini Ioannou, University of Tilburg, Netherlands Stefan Jänicke, Leipzig University, Germany Li Jie, Tianjin University, China Eser Kandogan, Megagon Labs James Klosowski, AT&T Labs Research Manolis Koubarakis, National and Kapodistrian University of Athens, Greece Stavros Maroulis, National Technical University of Athens, Greece Suvodeep Mazumdar, The University of Sheffield, United Kingdom Silvia Miksch, Vienna University of Technology, Austria Davide Mottin, Aarhus University, Denmark Evaggelia Pitoura, University of Ioannina, Greece Laura Po, Unimore, Italy Giuseppe Polese, University of Salerno, Italy Kristin Potter, NREL, USA Sajjadur Rahman, Megagon Labs Alexander Rind, St. Pölten University of Applied Sciences, Austria Panagiotis Ritsos, Bangor University, United Kingdom Maria Riveiro, Jönköping University, Sweden Hans-Jörg Schulz, Aarhus University, Denmark Michael Sedlmair, University of Stuttgart, Germany Tarique Siddiqui, Microsoft Research Dimitrios Skoutas, Athena Research Center, Creece Kavitha Srinivas, IBM Arjun Srinivasan, Georgia Institute of Technology, USA Manuel Stein, University Konstanz, Germany Christian Tominski, University of Rostock, Germany Natkamon Tovanich, École Polytechnique, France Katerina Tzompanaki, CY Cergy Paris University, France Katerina Vrotsou, Linköping University, Sweden Sean Wang, Fudan University, China Junpeng Wang, Visa Research Jules Wulms, Vienna University of Technology, Austria Jiazhi Xia, Central South University, China Panpan Xu, Bosch Research Hongfeng Yu, University of Nebraska-Lincoln, USA Demetris Zeinalipour, University of Cyprus, Cyprus Dimitris Zissis, Marine Traffic -- Nikos Bikakis Information Management Systems Institute ATHENA Research Center Athens | Greece www.nbikakis.com

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IUI 2023 Call for Posters and Demos
by John Wenskovitch 16 Nov '22

16 Nov '22

IUI 2023 will be located in Sydney, Australia from March 27-31, 2023. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. We invite contributions to the Posters and Demos tracks, with a submission deadline in early January. For more information, see the call below or visit https://iui.acm.org/2023/call_for_posters_demos.html. *Important Dates* *Submission*: January 9, 2023 *Notification to authors:* January 30, 2023 *Camera-ready*: February 13, 2023 *Posters* Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions relevant to all conference topics. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full-length research paper at a refereed conference. The page limit for poster papers is 4 pages (references do not count toward the page limit). Submitting a draft poster along with your submission is not required but is recommended. You can also submit an optional supportive video (max. 5 mins) along with your submission (note that a video will be required for accepted posters). Accepted poster papers will appear in the companion proceedings of the conference. *Demos* The demonstration track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 4 pages (references do not count toward the page limit). Although not required, authors may submit a video (max. 5 mins) along with their demo paper to showcase their work (note that a video will be required for accepted demos). Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Authors who submitted a research paper are welcome to also propose a demo of their work to exemplify their work at the conference.

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ACM ISS 2022 registration is still open
by Fateme Rajabiyazdi 15 Nov '22

15 Nov '22

We would like to extend a warm welcome and invite you to the ACM International Conference on Interactive Surfaces and Spaces (ISS) 2022 to take place 20-23 November in Wellington, Aotearoa New Zealand. The conference program is now available https://iss2022.acm.org/program/program-iss-2022/ and the list of papers published can be found here https://dl.acm.org/toc/pacmhci/2022/6/ISS There is still time to register for in-person or virtual attendance https://iss2022.acm.org/attending/registration Can't attend the whole ACM ISS conference? We have an after conference HCI Master Class with 8 world class HCI speakers, which is FREE to attend in-person and can be done virtually. Please register here https://iss2022.acm.org/track/hci-master-class Here is a sneak peek about the conference https://www.youtube.com/watch?v=rxP0ouzGwRc&t=3s We are also on the new platform Mastodon https://techhub.social/@issConf ACM ISS Publicity Committee This email contains links to content or websites. Always be cautious when opening external links or attachments. Please visit https://carleton.ca/its/help-centre/report-phishing/ for information on reporting phishing messages. When in doubt, the ITS Service Desk can provide assistance. https://carleton.ca/its/chat -----End of Disclaimer-----

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