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## Call for Lighting Talks ##<br class="">
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This year at TopoInVis, we will host a session of lightning talks for early-career researchers (Ph.D. students, post-docs, etc.) to advertise their work to the community. Presenters will be selected based on the relevance of their work to the scope of the workshop.<br class="">
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## Submission ##<br class="">
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For submission of abstracts for early-career lightning talks, please visit <<a href="https://forms.gle/YpkvNcDH1FyusqZX9" class="">https://forms.gle/YpkvNcDH1FyusqZX9</a>> to submit the abstract and answer a few questions about yourself.<br class="">
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## Due Date ##<br class="">
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August 15, 2022: submission deadline for early-career lightning talk abstracts (500 words)<br class="">
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## About TopoInVis ##<br class="">
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Topological Data Analysis has become, over the last few years, an established framework for the extraction and analysis of subtle structural patterns in complex data. It has been successfully applied in a variety of application fields, including quantum chemistry, astrophysics,
fluid dynamics, combustion, material sciences, biology, and data science. In particular, the genericity, efficiency, and robustness of topological methods have made them particularly well suited for the multi-scale, interactive analysis and visualization of the
structural information of data.<br class="">
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Despite their rising mainstream popularity, topological methods still face a number of challenges, including, for instance, efficient computational methods for large-scale time-varying data, the characterization of noise and uncertainty, or the support of novel
emerging data types such as ensemble data or high-dimensional point clouds.<br class="">
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The IEEE VIS Workshop on Topological Data Analysis and Visualization aims to be an inclusive forum for the fast dissemination of the latest results in theory, algorithms, and applications of topological methods for the interactive and visual analysis of data.
This workshop is a remodeling of the established TopoInVis workshop series, with the goal of being more diverse (in terms of applications) and inclusive (in terms of communities), with a clear will to open to other members of the visualization community potentially
interested in topological methods, or experts in topological methods from other communities willing to experiment with interactive and visual applications.<br class="">
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## Scope ##<br class="">
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Relevant topics include (but are not limited to):<br class="">
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<span class="Apple-tab-span" style="white-space:pre"></span>• Topological methods for the analysis and visualization of:<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• High dimensional point cloud data<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Graph data<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Scalar, vector, tensor, multi-field data<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Time-varying data<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Ensemble data<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Uncertain data<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Topological methods for data science (dimensionality reduction, clustering, etc.)<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Computational methods for topological data analysis and visualization<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Software systems for topological data analysis and visualization<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Visual analytic frameworks relying on topological methods<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>• Applications of topological data analysis and visualization<br class="">
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Sincerely,<br class="">
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TopoInVis Organizers<br class="">
Talha Bin Masood, Vijay Natarajan, Paul Rosen, and Julien Tierny<br class="">
Contact: <a href="mailto:topoinvis@ieeevis.org" class="">topoinvis@ieeevis.org</a><br class="">
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