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ACM UMAP 2024 | Standard Registration until 21 June
by Wanling Cai 15 Jun '24

15 Jun '24

* We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/registration/ ACM UMAP 2024 – Standard Registration until 21 June ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP – User Modeling, Adaptation and Personalization – is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. Proceedings are published by ACM and part of the ACM Digital Library. ACM UMAP 2024 is organized as an in-presence event, with online attendance support only during workshops and tutorials (i.e., the main conference will be run fully in-presence). Only workshops and tutorials will be streamed. ACM UMAP 2024’s organizers seek to foster an accessible and inclusive conference. We recognize that attendees have differing abilities to pay, and have instituted a tiered pricing program to accommodate different financial needs. Thanks for your interest in UMAP 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz Contact Information If you have any questions or enquiries, please contact: umap2024-chair(a)um.org<mailto:umap2024-chair@um.org>.

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Reminder: Papers due tomorrow - HICSS58 minitrack on Visual analytics; Conference - January 7-10 2005, Big Island, Hawaii
by Ebert, David 14 Jun '24

14 Jun '24

Minitrack: Interactive Visual Analytics for Knowledge Integration and Decision Intelligence Minitrack Papers due June 15, 2024 Conference is January 7-10, 2025 at the Hilton Waikoloa Village, Big island, HI https://hicss.hawaii.edu/<https://urldefense.com/v3/__https:/hicss.hawaii.edu/__;!!GNU8KkXDZlD12Q!5QM…> The demands of decision-making in an increasingly interconnected world mandates that complex real-time data analytics will combine with organizational knowledge integration, synthesis, and engineering to a key role in decision-making. 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 applications, methods, and theory 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 minitrack 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 * Visual decision-making in the context of Trustable AI or mis/disinformation * Theory-enhanced automated detection of fake news and fake comments (with visualization) For HICSS-58, we extend our focus to multidisciplinary collaboration and communication 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, communication, and operations to the design and evaluation of effective presentations for stakeholders and dissemination of trustful and actionable information. We invite computational, cognitive, communication, 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, including developing trustable AI and the challenge of dis/misinformation. Minitrack Co-Chairs: David Ebert (Primary Contact) 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> The Hawaii International Conference on System Sciences (HICSS)<https://hicss.hawaii.edu/> has been known worldwide as the longest-standing working scientific conferences in Information Technology Management. Since 1968, HICSS has provided a highly interactive working environment for top scholars from academia and the industry from over 60 countries to exchange ideas in various areas of information, computer, and system sciences. HICSS ranks second in citation ranking among 18 Information Systems (IS) conferences [1], third in value to the MIS field among 13 Management Information Systems (MIS) conferences [2], and second in conference rating among 11 IS conferences [3]. 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 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu<mailto:ebert@ou.edu>

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PhD Opening at TU\e - Network visualization and large event sequences analysis
by Arleo, Alessio 10 Jun '24

10 Jun '24

*** 5-year fully funded PhD-TA Position at TU Eindhoven *** Are you eager to work on a topic that brings together advanced network visualization and large event sequences analysis? Contribute to a growing and challenging research field in a five year fully funded PhD-TA journey, investigating complex, multifaceted phenomena as well as industry processes. Apply now! The project will be developed within the visualization cluster under the supervision of Dr. Alessio Arleo (a.arleo(a)tue.nl) and Prof. Fernando Paulovich (f.paulovich(a)tue.nl) The visualization cluster (https://research.tue.nl/en/organisations/visualization) at TU/e has a strong track record in visualization and visual analytics for large event sequences and high-dimensional data. It has generated several award winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several successful start-up companies (MagnaView, Process Gold and SynerScope); and a number of techniques that are used on a large scale world-wide. Do you want to know more and apply? Follow the link below: https://jobs.tue.nl/en/vacancy/phdteaching-assistant-at-tu-e-1084691.html Alessio Arleo, Ph.D. Assistant Professor Department of Mathematics and Computer Science TU Eindhoven

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ACM UMAP 2024 | Online Registration until 21 June
by Wanling Cai 10 Jun '24

10 Jun '24

* We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/registration/ ACM UMAP 2024 – Online Registration until 21 June ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP – User Modeling, Adaptation and Personalization – is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. Proceedings are published by ACM and part of the ACM Digital Library. ACM UMAP 2024 is organized as an in-presence event, with online attendance support only during workshops and tutorials (i.e., the main conference will be run fully in-presence). Only workshops and tutorials will be streamed. ACM UMAP 2024’s organizers seek to foster an accessible and inclusive conference. We recognize that attendees have differing abilities to pay, and have instituted a tiered pricing program to accommodate different financial needs. Thanks for your interest in UMAP 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz Contact Information If you have any questions or enquiries, please contact: umap2024-chair(a)um.org<mailto:umap2024-chair@um.org>.

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Associate Lecturer in Interactive Media @ University of York (teaching: Creative Coding, Unity, Media Asset Creation)
by Jonathan Hook 10 Jun '24

10 Jun '24

== Associate Lecturer in Interactive Media (teaching: Creative Coding, Unity, Media Asset Creation) == - Institution: University of York - Salary £36,024 - £44,263 per year (reduced pro rata for part time working) - Hours of work: Part-time - Apply by: 25/06/2024 https://jobs.york.ac.uk/vacancy/associate-lecturer-in-interactive-media-558… We invite applications for the position of Associate Lecturer in Interactive Media to contribute to the University of York’s teaching in the creative technologies, primarily on its BSc in Interactive Media programme. This position will commence from 2nd September 2024 and will be available as a 0.7FTE appointment for a fixed term period of 10 months. The successful candidate will convene and teach on existing modules covering creative coding and programming, media production for 2D and 3D user experiences. You will also help deliver practical sessions on creative media programming and coding for arts, games and interactive media experiences using a variety of industry standard tools and techniques. You will also contribute to supervising and assessing final year projects, as well as performing assessment moderation. You will also be expected to undertake pastoral supervision duties. The successful candidate will complement the dynamic interdisciplinary teaching team of the creative technologies that spans programming, design, media production, sound recording and humanities, and work with motivated and highly creative students in a rewarding and productive community. We seek applicants with a degree in a relevant subject (e.g. Interactive or Digital Media) and experience of contributing to teaching at HE level. The applicant must also have the skills to design, manage and deliver their own teaching, carry out assessment duties, engage with a wide-ranging audience, as well as supervise student work. With respect to personal attributes, the applicant must demonstrate attention to detail and commitment to high-quality work, a collaborative ethos, a positive attitude to colleagues and students, willingness to work proactively and an ability to plan and prioritise their own work. The role will be held within the University’s interdisciplinary School of Arts and Creative Technologies. The School of ACT was established in 2022, and is a highly innovative unit which brings together research, teaching and commercial activities in the fields of interactive media, music, film, television, theatre, sound recording and the business of the creative industries. Please direct informal enquiries to the Programme Leader of the Interactive Media BSc, Dr Alessandro Altavilla (email: alessandro.altavilla(a)york.ac.uk) Find out more and apply: https://jobs.york.ac.uk/vacancy/associate-lecturer-in-interactive-media-558…

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ACM UMAP 2024 | Tutorials & Registration
by Wanling Cai 29 May '24

29 May '24

* We apologize if you receive multiple copies of this email * * Online version (registration): https://www.um.org/umap2024/registration/ * Online version (tutorials): https://www.um.org/umap2024/tutorials/ ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 There’s still time to register for UMAP 2024 Conference! - Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz *This year, UMAP 2024 will include 5 tutorials:* *Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives* Several efforts in Europe (e.g., the AI Act) and beyond have highlighted the significance of regulating AI technology, which has substantial implications for research and development in the areas of user modelling and recommender systems. It particularly requires actions to enhance the trust of various stakeholders in the processes and outcomes of corresponding R&D activities. This 90-minute tutorial will address these implications from both technical and regulatory perspectives. It will provide an interdisciplinary overview of recent regulations, with a specific focus on the core areas of (1) fairness and non-discrimination, (2) privacy and security, and (3) transparency and explainability. The tutorial will empower its audience with a deep understanding of the social and ethical consequences of their work, and of recent ethical guidelines and regulatory frameworks addressing the aforementioned dimensions. It will discuss relevant research and offer practical examples that address the aforementioned trustworthiness aspects. Furthermore, it will demonstrate how new regulations impact the daily work of the audience. * Website: https://socialcomplab.github.io/Trustworthy-UMAP-Tutorial-24/ *Collaborative Team Recommendation for Skilled Users: Objectives, Techniques, and New Perspectives* Collaborative team recommendation involves selecting users with certain skills to form a team who will, more likely than not, accomplish a complex task successfully. To automate the traditionally tedious and error-prone manual process of team formation, researchers from several scientific spheres have proposed methods to tackle the problem. In this tutorial, while providing a taxonomy of team recommendation works based on their algorithmic approaches to model skilled users in collaborative teams, we perform a comprehensive and hands-on study of the graph-based approaches that comprise the mainstream in this field, then cover the neural team recommenders as the cutting-edge class of approaches. Further, we provide unifying definitions, formulations, and evaluation schema. Last, we introduce details of training strategies, benchmarking datasets, and open-source tools, along with directions for future works. * Website: https://fani-lab.github.io/OpeNTF/tutorial/umap24/ *DECI: Designing Effective Conversational Interfaces* The rise in popularity of conversational agents has enabled humans to interact with machines more naturally. There is a growing familiarity among people with conversational interactions mediated by technology due to the widespread use of mobile devices and messaging services. Over half the population on our planet has access to the Internet with ever-lowering barriers to accessibility. Though text modality is a dominant way to implement CUIs today, foundational AI models enable the implementation of multimodal CUIs using voice and visual modality. Adopting visual and auditory cues in addition to text-based responses provides an engaging user experience, specifically in complex scenarios like health guidance, and job interviewing, among others. This tutorial will present a review of state-of-the-art research and best practices on building and deploying multimodal CUIs and synthesize the open research challenges in supporting such CUIs. The tutorial will also showcase the benefits of employing novel conversational interfaces in the domains of human-AI decision-making, health and well-being, information retrieval, and crowd computing. We will discuss the potential of conversational interfaces in facilitating and mediating the interactions of people with AI systems. * Website: https://sites.google.com/view/decitutorial *Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends* The tutorial is designed to act as a detailed guide through the evolving field of user modeling research, highlighting the significant changes that have recently reshaped this area of study. We provide an overview of the vast and continuously expanding areas of user modeling and profiling, covering both their historical development and technical aspects. Our goal is to clarify the meanings of each crucial term in this field, thereby reducing misunderstandings and misinterpretations. At the heart of our tutorial, we will delve into the significant paradigm shifts witnessed in the last few years, primarily driven by advances in technology, along with the latest research trends and innovative directions in the domain. We explore and elaborate on progress in areas such as user behavior modeling, user representation, and beyond-accuracy perspectives. Throughout the presentation, we intend to actively involve the audience in discussions to promote an interactive and engaging learning experience. * Website: https://link.erasmopurif.com/tutorial-umap24 *Mastering Mind and Movement. ACM UMAP 2024 Tutorial on Modeling Intelligent Psychomotor Systems (M3@ACM UMAP 2024)* Research in the psychomotor field to provide personalization support to users represents several research challenges. The objective of the M3@ACM UMAP 2024 tutorial is to provide all level researchers of the UMAP community with methodologies, tools and techniques to model complex psychomotor behaviours that can later personalize learning support in realms like sports, physical education or for rehabilitation purposes, providing insights into data gathering from activities that involve human movements. In the M3 tutorial we will focus on how to take advantage of a learning analytics platform to support data engineering processes applied to the psychomotor domain, thus allowing for a practical and guided experience to the tutorial participants. Participants will engage in hands-on activities, recording specific movements and learning how to capture human body keypoints and model psychomotor learning. * Website: https://phyum.uned.es/m3umap24/

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Two 6-Year Industry-Driven Post-Doc Positions at CoSTAR LiveLAB (University of York, UK)
by Jonathan Hook 29 May '24

29 May '24

Two 6-Year Industry-Driven Post-Doc Positions at CoSTAR LiveLAB (University of York, UK) - Apply by: 01/07/2024 - Salary: £36,024 - £38,205 per year - Contract status: Fixed Term for 56 Months CoSTAR LiveLAB, led by the University of York, and based at Production Park in Wakefield, is a new research centre that focusses on applying new virtual production technologies to live events and how the latest developments can be used to ensure the UK has the skills and infrastructure to stay on the cutting edge of this type of technology. https://www.ukri.org/councils/ahrc/remit-programmes-and-priorities/converge… We are seeking two Postdoctoral Research Associates for the development of new technologies for immersive live performances. The PDRAs will conduct R&D activities at Production Park in Wakefield, in close liaison with the Project Directors and Co-Investigators. Successful candidates will have a strong track record of R&D in creative technologies, including one or more of the following: Machine vision; machine learning; Data science and analytics; immersive and interactive audio; media signal processing; low latency networking; psychophysics; UX design and testing; VR/AR. Candidates should have strong coding skills. The PDRAs will be expected to work closely with industry partners and other relevant stakeholders on a range of different projects. Find out more and apply here: https://jobs.york.ac.uk/vacancy/postdoctoral-research-associate-for-costar-… -- Jonathan Hook Professor of Interactive Media UX & Access Programme Lead: CoStar Live Lab <https://www.ukri.org/councils/ahrc/remit-programmes-and-priorities/converge…> School of Arts and Creative Technologies University of York, York, YO10 5DD http://www.jonhook.co.uk <http://www.jonhook.co.uk/>

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PhD positions, HybridLabs, Immersive Experiences and North Sea Ecology
by Zhao, Jiayan 19 May '24

19 May '24

Dear all, Apologies for X-posting. We are advertising new PhD positions in the HybridLabs consortium. The one focusing on immersive experiences should resonate well with this community. If you have any questions, please do not hesitate to contact Alexander Klippel (alexander.klippel(a)wur.nl) Feel free to share the advertisement. Thank you, Jiayan Two new PhD positions related to the NWA-ORC HybridLabs project (Dutch Research Agenda honours HybridLabs consortium (tudelft.nl)<https://www.tudelft.nl/en/2023/lr/dutch-research-agenda-honours-hybridlabs-…>): PhD position at WU-CGR (Cultural Geography Research Group) & MAE on Immersive experiences for communication and stakeholder engagement for North Sea Ecology: PhD position in HybridLabs - Immersive experiences for communication and stakeholder engagement for North Sea Ecology - WUR<https://www.wur.nl/en/vacancy/phd-position-in-hybridlabs-immersive-experien…> PhD position at WU-MAE (Marine Animal Ecology group) on nature inclusive seafood production combined with floating offshore energy platforms: PhD position in HybridLabs - Combining floating offshore energy with nature inclusive seafood production; focus on suspended shellfish culture and benthic organisms - WUR<https://www.wur.nl/nl/vacature/phd-position-in-hybridlabs-combining-floatin…> Jiayan Zhao, PhD Assistant Professor Laboratory of Geo-information Science and Remote Sensing Wageningen University & Research Email: jiayan.zhao(a)wur.nl<mailto:jiayan.zhao@wur.nl>

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Call for Papers: HICSS58 minitrack; papers due June 15; Conference January 7-10 2005, Big Island, Hawaii
by Ebert, David 15 May '24

15 May '24

Minitrack: Interactive Visual Analytics for Knowledge Integration and Decision Intelligence Minitrack Papers due June 15, 2024 Conference is January 7-10, 2025 at the Hilton Waikoloa Village, Big island, HI https://hicss.hawaii.edu/<https://urldefense.com/v3/__https:/hicss.hawaii.edu/__;!!GNU8KkXDZlD12Q!5QM…> The demands of decision-making in an increasingly interconnected world mandates that complex real-time data analytics will combine with organizational knowledge integration, synthesis, and engineering to a key role in decision-making. 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 applications, methods, and theory 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 minitrack 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 * Visual decision-making in the context of Trustable AI or mis/disinformation * Theory-enhanced automated detection of fake news and fake comments (with visualization) For HICSS-58, we extend our focus to multidisciplinary collaboration and communication 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, communication, and operations to the design and evaluation of effective presentations for stakeholders and dissemination of trustful and actionable information. We invite computational, cognitive, communication, 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, including developing trustable AI and the challenge of dis/misinformation. Minitrack Co-Chairs: David Ebert (Primary Contact) 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> The Hawaii International Conference on System Sciences (HICSS)<https://hicss.hawaii.edu/> has been known worldwide as the longest-standing working scientific conferences in Information Technology Management. Since 1968, HICSS has provided a highly interactive working environment for top scholars from academia and the industry from over 60 countries to exchange ideas in various areas of information, computer, and system sciences. HICSS ranks second in citation ranking among 18 Information Systems (IS) conferences [1], third in value to the MIS field among 13 Management Information Systems (MIS) conferences [2], and second in conference rating among 11 IS conferences [3]. 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 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu<mailto:ebert@ou.edu>

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2024 IEEE Workshop on Uncertainty Visualization: October 13, 2024, in St. Pete Beach, Florida
by Athawale, Tushar 14 May '24

14 May '24

2024 IEEE Workshop on "Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks, " October 13, 2024, in St. Pete Beach, Florida Tushar Athawale and David Pugmire from the Oak Ridge National Laboratory, along with Chris Johnson and Paul Rosen from the University of Utah and Kristi Potter from the National Renewable Energy Laboratory, are excited to announce the IEEE workshop on “Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks,” to be held in conjunction with the 2024 IEEE VIS Conference in St. Pete Beach, Florida, October 13-18, 2024. Uncertainty in data, algorithms, and processes is a big challenge faced in every domain. This workshop's call for participation is accepting short/full-length papers and posters on topics related to uncertainty visualization, analysis, and treatment in a broad range of domains (e.g., visualization, machine learning, climate science, quantum computing) for trusted scientific discovery. Relevant topics include (but are not limited to): • Applications: Domains-specific use cases for uncertainty visualization and analysis of scientific or information data with domains including but not limited to climate science, energy science, material science, quantum computing, and machine learning. • Techniques: Techniques to quantify and convey uncertainty in 2D/3D/high-dimensional (scientific or information) data. These cover a broad range of concepts, including but not limited to statistics, machine learning, computing, rendering, perception, and cognition that are fundamental to uncertainty. • Software and tools: Uncertainty visualization software or tools to convey the uncertainty in general or application-specific scientific or information data. • Decision frameworks: Methods, workflows, and application use cases for robust decision-making under uncertainty. The submission deadline is June 26, 2024. More information in the link below: 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐰𝐞𝐛𝐬𝐢𝐭𝐞: https://tusharathawale.github.io/UncertaintyVis-Workshop/<https://urldefense.us/v2/url?u=https-3A__tusharathawale.github.io_Uncertain…> VIS workshop 𝐰𝐞𝐛page: https://ieeevis.org/year/2024/info/workshops#uncertaintyvis<https://urldefense.us/v2/url?u=https-3A__ieeevis.org_year_2024_info_worksho…> Contact: uncertainty-vis(a)ieeevis.org<mailto:uncertainty-vis@ieeevis.org>, uncertaintyvis-chairs(a)googlegroups.com<mailto:uncertaintyvis-chairs@googlegroups.com><mailto:uncertaintyvis-chairs@googlegroups.com>

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