RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses
Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid
Fersiynau electronig
Dogfennau
- BulletinVideo_RAMPVIS.v2
Fersiwn derfynol wedi’i chyhoeddi, 211 KB, dogfen-PDF
- 1008-file-i36
Fersiwn derfynol wedi’i chyhoeddi, 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.
Allweddeiriau
Iaith wreiddiol | Saesneg |
---|---|
Teitl | IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes) |
Cyhoeddwr | IEEE |
Statws | Cyhoeddwyd - Hyd 2023 |
Digwyddiad | IEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Awstralia Hyd: 22 Hyd 2023 → 27 Hyd 2023 https://ieeevis.org/year/2023/welcome |
Cynhadledd
Cynhadledd | IEEE VIS: Visualization & Visual Analytics |
---|---|
Teitl cryno | IEEE VIS |
Gwlad/Tiriogaeth | Awstralia |
Dinas | Melbourne |
Cyfnod | 22/10/23 → 27/10/23 |
Cyfeiriad rhyngrwyd |
Cyhoeddiadau (1)
- Cyhoeddwyd
RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid