Best wishes from Italy, Pietro

-------- Messaggio Inoltrato --------
Oggetto:        [SIMSOC] Urgent call for modellers to support epidemic modelling
Data:   Sat, 28 Mar 2020 19:14:53 +0000
Mittente:       Nigel Gilbert <000019c353fb89ba-dmarc-requ...@jiscmail.ac.uk>
Rispondi-a:     Nigel Gilbert <n.gilb...@surrey.ac.uk>
A:      sim...@jiscmail.ac.uk



The Royal Society is coordinating a call for Rapid Assistance in Modelling the Pandemic (RAMP).

This urgent call to action is addressed to the scientific modelling community, and is a scheme to allow those with modelling skills (including data science) to contribute to current UK efforts in modelling the COVID-19 pandemic.

A willingness to work on specified tasks, and to deadlines, is needed. However, no previous experience in epidemic modelling, as such, is required of RAMP participants.

Full details of the scheme, with an online form to volunteer on behalf of your research group can be found here:

https://epcced.github.io/ramp/ <http://newsletters.royalsociety.org/c/1jW4ZO8s3ZvXxowWL0pKFA7W>

If this link delivers an error message, please try pasting it directly into your browser or alternatively try:

http://www.damtp.cam.ac.uk/research/softmatter/research <http://newsletters.royalsociety.org/c/1jW51QSerW6AYxCGi5JUMepp>


Please draw this scheme to the attention of colleagues who may be interested.

The online survey form should be filled out as soon as practicable and, if at all possible, by 5pm on Thursday 2 April. The survey form will cease to operate completely a day or two after that.


Note that RAMP does not address molecular modelling of the virus itself or of new antivirals, vaccines, etc. These avenues are already the subject of various efforts and initiatives internationally, such as http://www.hecbiosim.ac.uk/covid-19 <http://newsletters.royalsociety.org/c/1jW53TC0PSHepGIpPb44SSGS>

Best wishes

*Venki Ramakrishnan*
President

Professor Nigel Gilbert, CBE, ScD, FREng, FAcSS, Professor of Sociology,
University of Surrey, Guildford GU2 7XH, UK. +44 (0)1483 689173


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