RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses
Abstract
In this bulletin video, we summarize the volunteering activities of a group of visualization researchers who provided support to epidemiological modeling during the COVID-19 pandemic. Epidemiological modeling during a pandemic is a complex and continuous process. The intraoperative workflow entails different visualization tasks at four different levels, i.e., disseminative, observational, analytical, and model-developmental visualization. The visualization volunteers were organized into seven teams, including a generic support team, an analytical support team, a disseminative visualization team, and four modeling support teams. During the volunteering activities, we encountered a few major challenges. We made an effort to address these challenges and gained useful experience.
M. Chen, A. Abdul-Rahman, D. Archambault, J. Dykes, P. D. Ritsos, A. Slingsby, T. Torsney-Weir, C. Turkay, B. Bach, R. Borgo, A. Brett, H. Fang, R. Jianu, S. Khan, R. S. Laramee, L. Matthews, P. Nguyen, R. Reeve, J. C. Roberts, F. P. Vidal, Q. Wang, J. Wood, and K. Xu, “RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses,” in Bulletins presented at the IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes), IEEE Conference on Visualization (IEEE VIS 2023), Melbourne, Australia, 2023.
Bibtex
@inproceedings{Chen-et-al-Bulletin-Vis4PandemRes-VIS2023,
author = {Chen, Min and Abdul-Rahman, Alfie and Archambault, Daniel and Dykes, Jason and Ritsos, Panagiotis D. and Slingsby, Aidan and Torsney-Weir, Thomas and Turkay, Cagatay and Bach, Benjamin and Borgo, Rita and Brett, Alys and Fang, Hui and Jianu, Radu and Khan, Saiful and Laramee, Robert S. and Matthews, Louise and Nguyen, Phong and Reeve, Richard and Roberts, Jonathan C. and Vidal, Franck P. and Wang, Qiru and Wood, Jo and Xu, Kai},
title = {{RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses}},
year = {2023},
month = oct,
editor = {Abdul-Rahman, Alfie and Gaither, Kelly and Jentner, Wolfgang and Schreck, Tobias},
booktitle = {Bulletins presented at the IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes), IEEE Conference on Visualization (IEEE VIS 2023), Melbourne, Australia}
}