TY - GEN

T1 - Creating storytelling visualizations for the Covid-19 pandemic using Feature-Action Design Patterns

AU - Ritsos, Panagiotis D.

AU - Khan, Saiful

AU - Jones, Scott

AU - Bach, Benjamin

AU - Meikle, Julie

AU - Roberts, Jonathan C.

AU - Wood, Jo

AU - Chen, Min

PY - 2023/10

Y1 - 2023/10

N2 - In this bulletin video, we summarize a novel technique for authoring storytelling visualization [3–5]. The technique was developed by one of the teams in the RAMPVIS project [1, 2], which provided visualization support to epidemiological modeling during the COVID-19 pandemic. The team explored the prevailing approaches,in the UK and internationally, for creating public-facing visualizations related to the pandemic. This ranged from those produced by a number of governments (e.g., the four home nations in the UK), organizations (e.g., WHO, UK ONS), universities (e.g., Johns Hopkins dashboards), media outlets (e.g., FT Coronavirus tracker),and non-commercial web services (e.g., Worldometers). The team concluded that we should complement, but not duplicate, the existing effort, and defined our goal as to inform the public through advanced storytelling visualization.

AB - In this bulletin video, we summarize a novel technique for authoring storytelling visualization [3–5]. The technique was developed by one of the teams in the RAMPVIS project [1, 2], which provided visualization support to epidemiological modeling during the COVID-19 pandemic. The team explored the prevailing approaches,in the UK and internationally, for creating public-facing visualizations related to the pandemic. This ranged from those produced by a number of governments (e.g., the four home nations in the UK), organizations (e.g., WHO, UK ONS), universities (e.g., Johns Hopkins dashboards), media outlets (e.g., FT Coronavirus tracker),and non-commercial web services (e.g., Worldometers). The team concluded that we should complement, but not duplicate, the existing effort, and defined our goal as to inform the public through advanced storytelling visualization.

KW - Visualization

KW - Visual Analytics

KW - COVID-19 responses

KW - data patterns

KW - storytelling

KW - volunteering operation

UR - https://vis4pandemres.github.io/bulletins/

M3 - Conference contribution

BT - IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)

PB - IEEE

T2 - IEEE VIS: Visualization & Visual Analytics

Y2 - 22 October 2023 through 27 October 2023

ER -