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<span class="x_elementToProof ContentPasted0" style="font-size: 11pt; margin: 0px; background-color: rgb(255, 255, 255);">Dear colleagues,</span>
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Please find below the CfP for our IEEE VIS Workshop Vis4PandEmRes. Thanks!</div>
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Call for Papers:
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"><a href="https://vis4pandemres.github.io/" data-auth="NotApplicable" data-loopstyle="link" data-linkindex="0" style="margin:0px" class="ContentPasted0">https://vis4pandemres.github.io</a> </div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Half-day workshop at IEEE VIS, Melbourne, Australia, 22-27 October</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Workshop date: October 22 or 23, 2023</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">During the COVID-19 pandemic, data visualization played a highly visible role in supporting decision-making and information dissemination. While a large number of online platforms have provided
various regularly-updated COVID-19 key indicators to worldwide or regional audiences, there have also been R&D activities conducted by visualization and visual analytics (VIS) researchers and practitioners. Although some of the latter activities have been
reported in publications, many have not become public knowledge yet.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Aims and Scope</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">It is highly desirable for VIS scientists, researchers, and practitioners to share their experience and knowledge gained through their efforts made in supporting the COVID-19 pandemic responses,
and to share their insight and foresight to inform how VIS can better support future pandemic and emergency responses. This workshop will enable VIS researchers and practitioners to share their experience, knowledge, and reflection and offer their insight
and foresight about the role of VIS in pandemic and emergency responses. It will also allow the VIS community to compile one or more achievable collections of records about various VIS activities around the world during the COVID-19 pandemic. While COVID-19
has now progressed to the endemic phase, it is still very important to gather the built-up knowledge from COVID-19 in the visualization community to be better prepared for future Pandemics. Our workshop has the following aims:</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">(A) To provide VIS researchers and practitioners with the opportunity for: sharing their experience, knowledge, and reflection about their R&D activities in the context of pandemic responses; and
offering their insight how VIS research and techniques have helped COVID-19 pandemic responses and can be improved to provide better support in future emergency responses.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">(B) To provide the VIS community with a timely mechanism for: compiling one or more achievable collections of records on various VIS activities around the world during the COVID-19 pandemic; and
for stimulating a new R&D agenda in preparation for future emergency responses.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Topics</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">VIS researchers and practitioners may share their experience, knowledge, insight, and foresight on all aspects of VIS research and applications in the context of pandemics and emergency responses.
The topics of contributions may include, but are not limited to the following examples:</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• VIS for information dissemination to the public,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• VIS for routine or critical decision-making,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• VIS for highlighting and responding to mis/disinformation during health and emergency responses,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• VIS for supporting the development of simulation and forecasting models,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• VIS theories, methodologies, and guidelines useful in pandemic and emergency responses,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Perception and cognition in VIS applications for pandemic and emergency responses,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Methods for engaging and collaborating with domain experts (e.g., healthcare experts, epidemiologists, modelers, data analysts, policymakers),</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• VIS infrastructures, VIS systems, VIS tools, & other types of VIS software for supporting pandemic & emergency responses,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Design of dashboards, storytelling VIS, and visual representations for visualizing pandemic and emergency data,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Data transformation algorithms for processing pandemic and emergency data,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Specific data types or specific analytics problems:</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Uncertainty & biases in data, data processing, visual representations,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • VIS processes, decision processes, & public information dissemination,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • VIS for supporting sensitivity analysis,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Bioinformatics data,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Medical and healthcare data,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Geographical and geoinformation data,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Social media data,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Contact-and-tracing data,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Ensemble modeling data.</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px"> • Data quality and predictive value.</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Data integration, organization, and retrieval,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Rapid VIS software engineering (including requirement analysis, design, development, testing, and evaluation) in emergency responses,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Research funding and project management during the pandemic and emergency responses,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Readiness of VIS resources for future emergency responses,</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Requirements for VIS techniques in future emergency responses.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Submission Types and Criteria</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">The workshop will be open to all IEEE VIS attendees. The workshop will solicit two types of contributions:</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">(A) Paper — Authors may submit a technical paper on a piece of work that has not been previously published, and optionally, an accompanying bulletin video (same as the bulletin video below but
without a summary document). The length of a paper is 4-6 pages. The paper will undergo a review process with a technical depth and rigor appropriate for VIS workshop papers. Accepted papers will be published in IEEE Xplore and are to be presented during the
workshop.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">(B) Bulletin — Authors are required to submit a short video to share their work and experience together with a summary document of up to 2 pages maximum. The videos of accepted bulletin submissions,
as well as optional videos of accepted papers, will be combined to an archive of videos documenting the contributions to COVID-19 responses. Like abstracts or posters, bulletins are not considered research papers. Because we aim to compile a comprehensive
record as specified in (b1), the works suitable to be reported in bulletins include:</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">A piece of work has already been published, and the authors wish to keep a record in the community archive.</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Authors wish to keep a record in the community archive without affecting the plan of submitting a research paper in the future.</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Authors do not have a plan for a research paper but wish to keep a record of their effort and activities in the community archive.</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">The metadata of each paper accepted by the workshop.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">We note, authors of accepted bulletin submissions are not required to present these in person at the conference.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Important Dates</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Publication of CfP: May 11, 2023</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Submissions due: July 1, 2023</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Notification: July 28, 2023</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Camera-Ready: August 21, 2023</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Workshop: October 22 or 23, 2023</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Submission Information</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Papers:</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Size: 4–6 pages, following the IEEE VGTC Conference Style</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Please add the [PAPER] label to your submission title in PCS.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Bulletins:</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Size: A short video with a summary document of up to 2 pages maximum, in the IEEE VGTC Conference Style</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Please add the [BULLETIN] label to your submission title in PCS.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">All submissions need to be made through the PCS system. Please go to: https://new.precisionconference.com/submissions, and select Society: VGTC, Conference/Journal: VIS2023, Track: VIS 2023 Vis4PanDemRes.</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Paper template: IEEE VGTC Conference Style</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">https://tc.computer.org/vgtc/publications/conference/</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Workshop Co-chairs</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Alfie Abdul-Rahman, King's College London, UK</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Kelly Gaither, University of Texas at Austin, USA</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Wolfgang Jentner, University of Oklahoma, USA</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Tobias Schreck, Graz University of Technology, Austria</div>
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<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">Advisory Panel Co-Chairs</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• Min Chen, University of Oxford, UK</div>
<div class="x_ContentPasted1 ContentPasted0" style="margin:0px">• David Ebert, University of Oklahoma, USA</div>
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<span class="x_ContentPasted1 ContentPasted0" style="margin:0px">Please see the workshop webpage at https://vis4pandemres.github.io/, and contact the workshop chairs at vis4pandemres2023@cgv.tugraz.at for any questions.</span></div>
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