School of Mathematical Sciences

Air Quality in Urban Areas: Harnessing Data to Breathe Easy

23 July 2019, Queen Mary University of London


The subject of air quality has provoked much debate in the media, amongst policymakers, and within the public as concerns rise over the quality of the air we breathe both in our buildings and in our cities.

Helping to answer questions surrounding the quality of our environments, Queen Mary University of London and the Alan Turing Institute presents Air Quality in Urban Areas: Harnessing Data to Breathe Easy. This one-day conference will explore the issue of air quality within buildings, communities, and cities, looking at potential solutions presented through harnessing data, unleashing the power of machine learning, and cultivating artificial intelligence.

Speakers from industry and academia will set the scene and discuss recent innovations stemming from research at Queen Mary and the Alan Turing Institute, before presenting applicable solutions to issues of air quality.

This conference is for forward-thinking construction, facilities and building managers, building design consultants, architects, policymakers, fellow academics, national or local authority officers, NGO & professional body staff, trade association members, accreditation and certification bodies, air quality consultants and equipment manufacturers.

Location

Centre for Commercial Law Studies, Queen Mary University of London
67-69 Lincoln's Inn Fields
London
WC2A 3JB

For a map please click here

Our speakers

Kavita Datta - Queen Mary University of London

Professor Kavita Datta is Deputy Vice-Principal for Research Impact at Queen Mary University of London, and a Professor of Development Geography. Professor Datta's research spans economic and financial geography, and migration studies, contributing to critical understandings of transnational migration, financialisation and migrants’ financial practices. Find out more here.

Chris Muller - Purafil Inc., ASHRAE

Theo Damoulas - The Alan Turing Institute

Dr Theo Damoulas is an Associate Professor in Data Science at the University of Warwick and a Turing Fellow of The Alan Turing Institute. He is also affiliated with NYU as an Exchange Assistant Professor at the Center for Urban Science and Progress (CUSP). He was previously a Research Assistant Professor at NYU.  Find out more here.

Contact

If you have any questions about this event please email n.hampson-jones@qmul.ac.uk.