Modelling played a key role in understanding the scientific evidence surrounding the COVID-19 pandemic as well as informing policy decisions.
This session of talks by our guest speakers will explain the basics of epidemiological modelling, the experience of modelling the pandemic, the environmental factors involved in virus transmission and the path from basic science through to policy, drawing on lessons from Covid-19. The talks will be followed by a Q&A session and discussion.
- Professor Adam Kucharski, Professor of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine
- Professor Chris Budd OBE, Professor of Applied Mathematics, University of Bath
- Dr Louise Dyson, Associate Professor of Epidemiology, University of Warwick
- This session will take place in front of a live audience at the Royal Society on 13 June at 7.30pm BST.
- The event is free to join. Advance registration is essential for in-person attendance due to limited seating availability.
- Currently numbers for in-person attendance are limited so we are operating a waitlist however we expect to release batches of tickets in the run-up to the event.
- If after registering you are not able to attend, please cancel your ticket so others can attend.
- The event will also be livestreamed onto this webpage, this does not require any registration. If you wish to receive a reminder for the stream please book an online-only ticket and you will be sent a link to view the lecture. This page will update with a livestream on the day as well as a link to participate in the live Q&A.
- This event will also be recorded (including the live Q&A) and the recording will be available on YouTube soon after the event.
This event is organised by the Royal Society whose Rapid Assistance in Modelling the Pandemic (RAMP) initiative has drawn on a diverse range of disciplines to support the modelling community working on the Coronavirus (COVID-19) pandemic. Latterly this has been through the organization of a series scientific meetings, of which this event forms a part. RAMP is funded by UKRI through grant number EP/V053507/1.