RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Electronic versions
Documents
- BulletinVideo_RAMPVIS.v2
Final published version, 211 KB, PDF document
- 1008-file-i36
Final published version, 80 MB, video/mp4
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.
Keywords
- Visualization, Visual Analytics, COVID-19 responses, epidemiological modeling, volunteering operation
Original language | English |
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Title of host publication | IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes) |
Publisher | IEEE |
Publication status | Published - Oct 2023 |
Event | IEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Australia Duration: 22 Oct 2023 → 27 Oct 2023 https://ieeevis.org/year/2023/welcome |
Conference
Conference | IEEE VIS: Visualization & Visual Analytics |
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Abbreviated title | IEEE VIS |
Country/Territory | Australia |
City | Melbourne |
Period | 22/10/23 → 27/10/23 |
Internet address |
Research outputs (1)
- Published
RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses
Research output: Contribution to journal › Article › peer-review