14:00 - 15:00
Lectures, talks and seminars
Mathematical Sciences, Department of
Osama Mahmoud email@example.com
These Departmental Seminars are for everyone in Maths. We encourage anyone interested in the subject in general, or in the particular subject of the seminar, to come along. It's a great opportunity to meet people in the Maths Department and join in with our community.
Monitoring socio-economic indicators such as income inequality or deprivation represents a big challenge even for advanced economies. Nowadays it is mainly tackled by running reliable, but infrequent and costly census campaigns. The emergence of vast and organized online datasets combined with recent advances on machine learning algorithms open an opportunity to explore alternative fast and cheap estimations that could complement traditional demographic and economic measures.
Here I will present a methodology that uses a set of visual features extracted from street-view pictures. We have successfully used this methodology for predicting the income distribution using Google Street View pictures in 6 different cities all over the world. Now, we plan to use the same methodology to predict the deprivation indices all over UK using crowdsource imagery platforms.
Our aim is to be able to build models accurate enough that we can export this technology to places and countries where such level of statistics is still scarce or indicators at small-area level are not available.
Mario Gutiérrez-Roig, University of Essex
If not a member of the Dept. Mathematical Science at the University of Essex, you can register your interest in attending the seminar and request the Zoom’s meeting password by emailing Dr Osama Mahmoud (firstname.lastname@example.org).