Academic

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.

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Academic Papers

Defining Cultural Data Science

At present there is no clear definition of cultural data science, therefore, this paper presents the first definition of the field. Publish date: 2021

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Urban Nature: Does Green Infrastructure Relate to the Cultural and Creative Vitality of European Cities?

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

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Measuring the impact of cultural infrastructure on Airbnb listings in London

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

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Measuring the extent to which Londoners are willing to pay for public art in their city

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

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London Fashion Week Analysis 2019

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.

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Study at The Bartlett

I studied a five-year Masters in Research at The Bartlett Centre for Advanced Spatial Analysis (CASA) at UCL in London. I was interviewed by the Faculty about my time there. To find out more about studying at The Bartlett watch the video.

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London Fashion Week 2019 Analysis

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Together we can shape technology for culture and creativity

Hire me implement technologies with the goal of improving your cultural data science strategy.

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