AUM2020 Session 12 - Spatial modelling as rapid response to mitigate the pandemic

Duration: 2 hours 19 mins

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Description:	RAMP Urban Analytics and Modelling Group Presentation Introduction to RAMP – Prof. Michael Batty, University College London Overview of urban analytics task – Prof. Mark Birkin, University of Leeds and Alan Turing Institute (recorded video) Microsimulation – Prof. Nik Lomax, University of Leeds and Dr Karyn Morrissey, University of Exeter Modelling spaces – Prof. Adam Dennett and Mr Richard Milton, University College London Modelling transport – Dr Jamil Nur, Ms Shanshan Xie and Dr Ying Jin, University of Cambridge Simulating COVID-19 in the community – Prof. Gavin Shaddick and Dr Fiona Spooner, University of Exeter Summary - Prof. Mark Birkin, University of Leeds and Alan Turing Institute Discussant: Mr David Simmonds (David Simmonds Consultancy Ltd) Session Chair: Mr Steve Denman (University of Cambridge)

Description:

RAMP Urban Analytics and Modelling Group Presentation

Introduction to RAMP – Prof. Michael Batty, University College London
Overview of urban analytics task – Prof. Mark Birkin, University of Leeds and Alan Turing Institute (recorded video)
Microsimulation – Prof. Nik Lomax, University of Leeds and Dr Karyn Morrissey, University of Exeter
Modelling spaces – Prof. Adam Dennett and Mr Richard Milton, University College London
Modelling transport – Dr Jamil Nur, Ms Shanshan Xie and Dr Ying Jin, University of Cambridge
Simulating COVID-19 in the community – Prof. Gavin Shaddick and Dr Fiona Spooner, University of Exeter
Summary - Prof. Mark Birkin, University of Leeds and Alan Turing Institute

Discussant: Mr David Simmonds (David Simmonds Consultancy Ltd)
Session Chair: Mr Steve Denman (University of Cambridge)


Created:	2020-11-30 11:38
Collection:	Martin Centre AUM2020: Modelling the New Urban World
Publisher:	University of Cambridge
Copyright:	The Martin Centre
Language:	eng (English)
Keywords:	AUM2020; Spatial modelling as rapid response to mitigate the pandemic; Martin Centre; Modelling the New Urban World; Architecture;


Abstract:	This Rapid Assistance in Modelling the Pandemic (RAMP) group of data scientists and modellers responded to the UK’s Royal Society initiative (https://royalsociety.org/topics-policy/Health%20and%20wellbeing/ramp/) with the aim to provide supporting evidence and assistance to the scientists advising the government on urban analytics and spatial modelling. This RAMP group has been modelling the transmission of the virus through mobility and interactions of people and how this would respond to different policy interventions. Regional differences in infection rate are particularly of interest, as these could show that it may be safe to send people back to work or school in one area of the country but not another. The group is looking at which decisions have more impacts and where they are likely to be felt, and as it responds to the changing situation, the presentation provides the latest update on the work in progress.

Abstract:

This Rapid Assistance in Modelling the Pandemic (RAMP) group of data scientists and modellers responded to the UK’s Royal Society initiative (https://royalsociety.org/topics-policy/Health%20and%20wellbeing/ramp/) with the aim to provide supporting evidence and assistance to the scientists advising the government on urban analytics and spatial modelling.

This RAMP group has been modelling the transmission of the virus through mobility and interactions of people and how this would respond to different policy interventions. Regional differences in infection rate are particularly of interest, as these could show that it may be safe to send people back to work or school in one area of the country but not another. The group is looking at which decisions have more impacts and where they are likely to be felt, and as it responds to the changing situation, the presentation provides the latest update on the work in progress.

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