The Royal Society is currently using its convening power to support efforts to model the Coronavirus (COVID-19) pandemic and guide the UK’s response. The Rapid Assistance in Modelling the Pandemic (RAMP) initiative is bringing modelling expertise from a diverse range of disciplines to support the pandemic modelling community already working on Coronavirus (COVID-19).
An initial call for volunteers led to an overwhelming response with 1800 individuals and teams offering to help.
RAMP is designed to; provide support for existing research groups; create new models or insights that can be used to inform the work of the Government’s scientific advisors, through data science-based approaches; apply knowledge from related epidemiology domains; and triage incoming literature to ensure effective information flows.
The goal of RAMP is to enhance modelling capacity in time to create a clearer understanding of different exit strategies from the current lockdown. RAMP will operate beside Data Evaluation and Learning for Viral Epidemics (DELVE), a multi-disciplinary group, convened by the Royal Society, to support a data-driven approach to learning from the different approaches being taken in other countries to tackle the pandemic.
By bringing in new cross-disciplinary thinking, and by adding to human and computing resources, we hope RAMP will allow more robust and comprehensive predictions than would otherwise be possible.
29 April 2020: Read the latest update from Peter Bruce FRS.
RAMP Steering Committee
- Mike Cates (Chair) FRS FRSE, Lucasian Professor of Mathematics at the University of Cambridge
- Graeme Ackland FRSE, Professor of Physics at the University of Edinburgh
- Mike Batty FRS CBE FBA, Bartlett Professor of Planning at University College London
- Chris Bishop FRS, Lab Director at Microsoft Research Cambridge
- Peter Bruce FRS, Wolfson Professor of Materials at the University of Oxford
- Julia Gog, Professor of Mathematical Biology at the University of Cambridge and member of the Scientific Pandemic Influenza Group on Modelling (SPI-M)
- Cath Noakes, Professor of Environmental Engineering for Buildings at the University of Leeds