Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Lecturer in Visualization

Immersive Environments Lab
Visualization, Data, Modelling and
Graphics (VDMG) research group,

School of Computer Science
and Electronic Engineering,

Bangor University,
Dean Street, Bangor,
Gwynedd, UK, LL57 1UT

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

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

Abstract

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.

Downloads

Available at: arXiv:2012.04757

Citation

M. Chen et al., “RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses.” 2020. [Online] Available at: arXiv:2012.04757

Bibtex

@misc{Chen-et-al-2020rampvis,
  title = {RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses},
  author = {Chen, M. and Abdul-Rahman, A. and Archambault, D. and Dykes, J. and Slingsby, A. and Ritsos, P. D. and Torsney-Weir, T. and Turkay, C. and Bach, B. and Brett, A. and Fang, H. and Jianu, R. and Khan, S. and Laramee, R. S. and Nguyen, P. H. and Reeve, R. and Roberts, J. C. and Vidal, F. and Wang, Q. and Wood, J. and Xu, K.},
  year = {2020},
  eprint = {2012.04757},
  archiveprefix = {arXiv},
  primaryclass = {cs.HC}
}