Prof Gavin Shaddick's Inaugural Lecture: Pumps, Maps and More Pea Soup

Event Information

Share this event

Date and Time

Location

Location

Lecture Theatre 004

Harrison Building

North Park Road, University of Exeter

Exeter

EX4 4QF

United Kingdom

View Map

Event description
The CEMPS Inspiring Science Lecture Series continues with the Inaugural Lecture of Prof. Gavin Shaddick. Join us for this fascinating talk!

About this Event

Inspiring Science Inaugural Lecture: Professor Gavin Shaddick

Pumps, Maps and More Pea Soup

Harrison Lecture Theatre 004

Thursday 26th September 2019, 17.30

Event Information

The College of Engineering, Mathematics and Physical Sciences is pleased to invite you to the next Inspiring Science Inaugural Lecture. Professor Gavin Shaddick, Head of Mathematics, will be delivering this fascinating lecture on Thursday 26th September 2019. Everyone is welcome to attend this open event.

Venues and information

Main venue: Harrison Lecture Theatre 004

We intend to record this event. The lecture will be available to view after the event on the Inspiring Science web page.

Registration

Please register using the 'register' link on this page.

If you wish to register without using Eventbrite by email, please contact: L.Aldridge@exeter.ac.uk

Programme

17.30: refreshments available

18:00: lecture starts (including Q&As)

19.30: end of event

About the Presentation

Air pollution is a major risk factor for global health, with both ambient and household air pollution contributing substantially to the overall global burden of disease. Recently, there have been significant advances in the methods that are available to quantify air pollution-related indicators to track progress towards the Sustainable Development Goals and to expand the evidence base of the impacts of air pollution on health. These advances have been a result of the explosion in the availability of environmental data, increases in computing power and a growing public interest in the effects of environmental pollution. Using illustrative examples, from outbreaks of cholera in London in the 1850s through episodes of smog in the 1950s London to global air pollution in present day, we explore the advances in data science, statistics, epidemiology and computational methods that now provide the meaningful insight required by individuals, businesses and policy-makers to mitigate the effects air pollution on our health and well-being. Specifically, the quantification of the risks associated with air pollution has led to the development and implementation of air quality standards, together with the policies required for their enforcement, in many parts of the world. However, air pollution constitutes a major, and in many areas, increasing threat to public health: over 90% of the world’s population are exposed to levels substantially above WHO Air Quality Guidelines with the populations of many low- and middle-income countries continuing to experience increased levels of pollution in their the air that they breathe.

About Prof Gavin Shaddick

Prof. Gavin Shaddick is Chair of Data Science and Statistics and Head of the Department of Mathematics at the University of Exeter. He is the Director of the recently awarded UKRI Centre for Doctoral Training in Environmental Intelligence: Data Science & AI for Sustainable Futures, an £8M centre which will train the next generation of researchers in using AI to address the challenges of environmental change. He is an Alan Turing fellow and the Exeter Director of the Exeter-Chinese University of Hong Kong (CUHK) joint centre for Environment, Sustainability and Resilience (ENSURE). He leads the Data Integration Task Force of the WHO Global Platform on Air Quality and Health and serves on the UK government’s Committee on the Medical Effects of Air Pollutants (COMEAP) and its subgroup on the Quantification of Air Pollution Risks (QUARK).

Date and Time

Location

Lecture Theatre 004

Harrison Building

North Park Road, University of Exeter

Exeter

EX4 4QF

United Kingdom

View Map

Save This Event

Event Saved