Rewley House Lecture Series

Free public lectures open to all

The Rewley House Lecture Series is an opportunity to experience the extraordinarily diverse research interests of academics from across and beyond the Department, and to participate in multidisciplinary debate.

Lectures are free and open to all.

Trinity term 2022 lecture: Tuesday 17 May 2022

Data Science and Identifying COVID-19 Risk Factors

The role of data science in the pandemic response.

Dr Daniel Wilson summarises how data science has been used during the COVID-19 pandemic, spanning vaccine design, clinical trials, surveillance and policy advice, and highlighting the identification of risk factors for disease.

This event took take place at Rewley House, Oxford, and was livestreamed for those who were unable to attend in person. 

A recording of this lecture can be watched here.

Past events

Data Science and Identifying COVID-19 Risk Factors

Data Science and Identifying COVID-19 Risk Factors

Join Dr Daniel Wilson as he explores the role that data science has played in the COVID-19 pandemic response. Free lecture, part of the Rewley House Lecture Series.

Evidence-Based Government

Evidence-Based Government

Join Dr Philip Davies as he explores what it means for governments to be ‘evidence-based’ and for political decision makers to be ‘following the science’.

The Creativity Code

The Creativity Code

Prof Marcus du Sautoy asks 'Will a computer ever compose a symphony, write a prize-winning novel, or paint a masterpiece?'

Power-posing politicians, human pheromones, and other psychological myths

Power-posing politicians, human pheromones, and other psychological myths

Using his research in to human pheromones as an example, Tristram Wyatt will discuss how and why popular myths are created and how efforts have been made to address the ‘reproducibility crisis’.