RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i Gynhadleddadolygiad 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

  • Min Chen
    University of Oxford
  • Alfie Abdul-Rahman
    Kings College London
  • Daniel Archambault
    Swansea University
  • Jason Dykes
    City University, London, UK
  • Panagiotis D. Ritsos
  • Aidan Slingsby
    City University, London, UK
  • Thomas Torsney-Weir
    Swansea University
  • Cagatay Turkay
    University of Warwick
  • Benjamin Bach
    University of Edinburgh
  • Rita Borgo
    King's College London
  • Alys Brett
    UK Atomic Energy Authority
  • Hui Fang
    Loughborough University
  • Radu Jianu
    City University, London, UK
  • Saiful Khan
    University of Oxford
  • Robert S. Laramee
    University of Nottingham
  • Louise Matthews
    Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland
  • Phong H. Nguyen
    University of Oxford
  • Richard Reeve
    Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland
  • Jonathan C. Roberts
  • Franck Vidal
  • Qiru Wang
    University of Nottingham
  • Jo Wood
    City University, London, UK
  • Kai Xu
    Middlesex UniversityUniversity of Nottingham
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 wreiddiolSaesneg
TeitlIEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)
CyhoeddwrIEEE
StatwsCyhoeddwyd - Hyd 2023
DigwyddiadIEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Awstralia
Hyd: 22 Hyd 202327 Hyd 2023
https://ieeevis.org/year/2023/welcome

Cynhadledd

CynhadleddIEEE VIS: Visualization & Visual Analytics
Teitl crynoIEEE VIS
Gwlad/TiriogaethAwstralia
DinasMelbourne
Cyfnod22/10/2327/10/23
Cyfeiriad rhyngrwyd
Gweld graff cysylltiadau