I’m an academic and researcher
My research uses data science and visualisation to understand the role of art and culture in cities. Through my research work at The Bartlett, UCL, I have published conference papers and co-authored peer-review journals, I am regularly invited to give lectures, and I've defined a new theory of cultural data science.
Academic Papers
At present there is no clear definition of cultural data science, therefore, this paper presents the first definition of the field. Publish date: 2021
The purpose of this research is to understand whether the availability of green infrastructure relates to the Cultural and Creative Cities Monitor (CCCM) developed by the Joint Research Centre of the European Commission. Co-authored with Aude Vuilliomenet. Publish date: 2021
This study uses cultural data science to measure the impact of cultural infrastructure on the supply and demand of Airbnb listings in London. The aim of this research is to empirically capture the impact of cultural infrastructure on neighbourhoods in London by leveraging multilinear, spatial lag and geographically weighted regression models. Publish date: 2020
Using a hybrid contingent valuation (CV) and wellbeing valuation (WV) survey we collected data at two public art initiatives organised by MTArt Agency. A binary logistic regression model was then used to measure the extent to which Londoners are willing to pay for public art and which factors influenced their decision. Co-authored with Marine Tanguy. Publish Date: 2018
Over the years relatively little research has been done to observe the pulse of London Fashion Week. Our analysis understands how the city changes when London Fashion Week takes place by leveraging spatial data science and social media analysis. A website was built to illustrate and visualize our analysis and trends in a sophisticated and interactive manner and presents a novel way to analyze LFW.
Together we can shape technology for culture and creativity
Hire me implement technologies with the goal of improving your cultural data science strategy.
