RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses

by   M. Chen, et al.

The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been an urgent need to develop and provide visualisation and visual analytics (VIS) capacities to support emergency responses under difficult operational conditions. In this paper, we report the experience of a group of VIS volunteers who have been working in a large research and development consortium and providing VIS support to various observational, analytical, model-developmental and disseminative tasks. In particular, we describe our approaches to the challenges that we have encountered in requirements analysis, data acquisition, visual design, software design, system development, team organisation, and resource planning. By reflecting on our experience, we propose a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses.



There are no comments yet.


page 5

page 6

page 7

page 10


An Overview of Ontologies and Tool Support for COVID-19 Analytics

The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COV...

Globally Distributed Development during COVID-19

Due to the global pandemic, in March 2020 we in academia and industry we...

Designing Emergency Response Pipelines : Lessons and Challenges

Emergency response to incidents such as accidents, crimes, and fires is ...

Turning the Tables: The View from Offshore During 60 Days in JST

A report and examination of a Remote Work experience during the Covid-19...

Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan

Accurate forecasting of medical service requirements is an important big...

Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data

With increased frequency and intensity due to climate change, wildfires ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.