[Ieee_vis] CFP reminder: IEEE CG&A issue on BioVis, tie-in w/ VIS and EuroVis

[G.Elisabeta Marai]

2nd CFP (reminder), and also a reminder that CG&A has a partnership for the
presentation of outstanding papers, including papers in this special issue,
at IEEE VIS and EuroVis:

*IEEE CG&A has an ongoing initiative to select outstanding papers published
the previous year for presentation at collaborating conferences such as
IEEE VIS and EuroVis. For instance, 8 of our 2023 papers were showcased at
EuroVis 2024 and 12 at IEEE VIS 2024. Paper authors have the option to
accept or decline these invitations. *
-----------------------------
CFP:
IEEE CG&A seeks submissions for its upcoming Sep 2025 special issue on
Breakthroughs, Challenges, and Opportunities in Biological Data
Visualization,
with a submission deadline of Feb 21st, 2025.

https://www.computer.org/digital-library/magazines/cg/cfp-biological-data-visualization
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.computer.org%2Fdigital-library%2Fmagazines%2Fcg%2Fcfp-biological-data-visualization&data=05%7C02%7Cgmarai%40groute.uic.edu%7C2ede7ce0e6b1410cddf208dca506f93c%7Ce202cd477a564baa99e3e3b71a7c77dd%7C0%7C0%7C638566696594410608%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=0%2B4LzY8tVJsoPslxiOU9zN3yEOyGpDa3WSIRF3aRm3g%3D&reserved=0>

The rapidly expanding data generated by advanced methods in biology is
creating enormous challenges at the interface between humans and biological
data that can be represented and analyzed visually. To meet these
challenges, a blend of methodology from the visualization,  bioinformatics and
biology domains is required. This methodology encompasses perception and
design knowledge, algorithm design, techniques for analyzing and
visualizing big data,  statistics, and specific domain knowledge for
different application problems. Powerful and integrative visualization
methods are necessary, as well as methods for visually communicating the
outcome of computational analytical methods and findings.

This special issue aims to highlight new challenges in biological data
visualization (BioVis), and state-of-the-art solutions created by the
vibrant BioVis community. We invite contributions on all aspects of data
visualization in biology, from molecular to cell, tissue, organism and
population biology. Topics of interest include, but are not limited to:

* Genome and sequence data visualization, including genomic variation data,
3D and 4D genome visualization, and chromosome interaction maps
* Multivariate omics data visualization (transcriptomics, proteomics,
metabolomics, etc.)
* Phylogenetic data visualization, as well as biological networks and
pathways
* Neurobiology and developmental biology visualization, biological atlases
and metadata
* Macromolecular structures (e.g., protein or RNA structures) visualization
* Biological image data, such as microscopy data visualization
* Visualization for the modeling and simulation of biological systems
* Biovis systems and software frameworks, and integrating visualization and
machine learning for biological analysis
* Biological workflows or collaborative processes, processes for
interdisciplinary collaboration between biology and visualization, and
usability of visualization by biologists, including communicating
uncertainty
* New challenges, breakthroughs, and opportunities in biological data
visualization
________________________________

Submission Guidelines

For author information and guidelines on submission criteria, visit the
Author’s Information page. Please submit papers through the ScholarOne
system and be sure to select the special issue or special section 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. If requested, abstracts should be sent
by email to the guest editors directly.

________________________________

Questions?
Contact the guest editors at cga5-2025 at computer.org.
Elisabeta (Liz) Marai, CGA AE, Professor of Computer Science, University of
Illinois Chicago
and
Jillian Aurisano, CGA Guest Editor, Assistant Professor of Computer
Science, University of Cincinnati

-- Liz
--
G. Elisabeta Marai
University Scholar 2023-2026, University of Illinois System
Professor of Computer Science
CS Director of Graduate Admissions
Director, UIC Institute for Equitable Health Data Science Research
University of Illinois Chicago
http://evl.uic.edu/marai
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