CurrentDoctoral researcher at the Data Science Lab, Behavioural Science Group, Warwick Business School, University of Warwick.
Current research involves using crowd-sourced data from such sources as Flickr, Twitter and Scenic-Or-Not to understand how the aesthetics of the environment impacts human wellbeing.
Also spending an enrichment year at the Alan Turing Institute where my research involves the application of deep learning techniques to images of urban locations in order to explore which visual features of the environment might impact the wellbeing of city residents.BeforeRan digital design consultancy for 8+ years. Specialised in creating digital identities and websites for the arts, design and cultural sectors. Clients included the Design Museum, the Royal Academy, Tate, NESTA, the Gulbenkian Foundation and Fornasetti.
Latest researchUsing Deep Learning to Quantify the Beauty of Outdoor PlacesQuantifying the Impact of Scenic Environments on Health
Quantifying the Link Between Art and Property Prices in Urban Neighbourhoods
Quantifying Scenic Areas Using Crowdsourced Data
Media/Press CoverageThe Economist: Computer analysis of what is scenic may help town planners
BBC Click: Algorithm learns to understand natural beauty
Wired: An AI has been trained to understand beauty
The Times: City vistas prove easier on eye than green belt
Scientific American: 60-Second Science Teaching Computers to Enjoy the View
Guardian: Beauty spot or landscape blot? Computer trained to judge scenery
Scientific American: 60-Second Science: Photos Tagged as Art Linked to Rising Property Prices
Guardian: Does a pretty office make a productive workforce?
Interviewed on Channel 4: Phil Spencer's Perfect Home: "Home Office" episode
TeachingFutureLearn Big Data MOOC
Find out more LinkedIn - @thoughtsymmetry - C.Seresinhe@Warwick.ac.uk