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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Electronic versions

Documents

  • BulletinVideo_RAMPVIS.v2

    Final published version, 211 KB, PDF document

  • 1008-file-i36

    Final published version, 80 MB, video/mp4

  • Min Chen
    University of Oxford
  • Alfie Abdul-Rahman
    Kings College London
  • Daniel Archambault
    Swansea University
  • Jason Dykes
    City University of London
  • Panagiotis D. Ritsos
  • Aidan Slingsby
    City University of London
  • 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 of London
  • Saiful Khan
    University of Oxford
  • Robert S. Laramee
    University of Nottingham
  • Louise Matthews
    University of Glasgow
  • Phong H. Nguyen
    University of Oxford
  • Richard Reeve
    University of Glasgow
  • Jonathan C. Roberts
  • Franck Vidal
  • Qiru Wang
    University of Nottingham
  • Jo Wood
    City University of London
  • 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.

Keywords

  • Visualization, Visual Analytics, COVID-19 responses, epidemiological modeling, volunteering operation
Original languageEnglish
Title of host publicationIEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)
PublisherIEEE
Publication statusPublished - Oct 2023
EventIEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 22 Oct 202327 Oct 2023
https://ieeevis.org/year/2023/welcome

Conference

ConferenceIEEE VIS: Visualization & Visual Analytics
Abbreviated titleIEEE VIS
Country/TerritoryAustralia
CityMelbourne
Period22/10/2327/10/23
Internet address
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