Special Session
Special Session on
Visualizing Contagion / Visualizing Outbreak Data -
VisConVOD
2024
27 - 29 February, 2024 - Rome, Italy
Within the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP 2024
* CANCELLED *
CHAIR
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Andres Colubri
Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School
United States
https://co-labo.org/
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Brief Bio
Dr. Andrés Colubri is Assistant Professor in the Genomics and Computational Biology department at the University of Massachusetts Chan Medical School. His team brings together computational scientists, software engineers, and visual designers to develop new methods and tools for infectious disease research. Together with partners at the Broad Institute of MIT and Harvard, he created Operation Outbreak, the world's first live, app-based outbreak simulator to generate ground-truth datasets, validate predictive models, and improve the response to future pandemics. Andrés is also a senior member of the Processing project, an open-source programming language and environment widely used for teaching and production in for digital arts and design. He developed Processing’s 3D renderer, video library, and Processing for Android, and uses Processing as a tool to bridge his interests in computer graphics, data visualization, and biomedical research. Andrés originally studied Physics and Mathematics in Argentina and later did an MFA in the Design Media Arts Department at UCLA. By seeking collaborations at the intersection of epidemiology, genomics, machine learning, data visualization, and mobile technologies, the main goal of the Colubri Lab (CoLabo) is advancing an interdisciplinary vision of outbreak science.
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SCOPE
This session is dedicated to applications of data visualization and information design in understanding infectious disease outbreaks. Papers in this session will explore how novel visual representations and algorithms can help to gain insight from complex outbreak datasets. This session welcomes epidemiologists, data scientists, public health experts, and visualization enthusiasts to share breakthroughs, techniques, and innovations in the field. The COVID-19 pandemic brought visualization of outbreak data to the forefront, specially thanks to “situation dashboards” that were shown on the news around the world, but also had several limitations, including data presentation biases, overwhelming complexity, and lack of context. The primary goal of this session is to explore new visualization approaches that could overcome these limitations during future outbreaks.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Infectious Disease
- Epidemics
- Data Visualization
- Information Design
IMPORTANT DATES
Paper Submission:
December 21, 2023 (expired)
Authors Notification:
January 9, 2024 (expired)
Camera Ready and Registration:
January 17, 2024 (expired)
SPECIAL SESSION PROGRAM COMMITTEE
Paul Kahn,
Northeastern University, United States
Leonora Martínez-Nuñez,
UMass Chan Medical School, United States
Antonio Solano-Roman,
Flatiron Health, United States
Liuhuaying Yang,
Complexity Science Hub Vienna, Austria
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library
Selected papers addressing large scale visual computing problems will be invited to submit extended versions of their papers to a Special Issue of the Frontiers in Robotics and AI journal.