I am a Senior Lecturer in Computer Science, School of Science and Technology, Department of Computer Science, Research Group in Applied Software Engineering at Middlesex University in London, UK.
Prior to joining Middlesex University I was a Research Fellow at University College London, Department of Computer Science.
English, Italian (mother tongue)
Ongoing projects...
Title: The effects of COVID-19 on the quality of content in Wikipedia
Student: Anupam Das
MSc Data Science
Title: Airbnb hospitality resurgence after the COVID-19 pandemic
Student: Asma Ayesha
MSc Data Science
Title: Impact of COVID-19 in Kickstarter crowdfunding
Student: Diana Vincent
MSc Data Science
Title: Language of success in Kiva crowdfunding
Student: Emma Jane Hall
MSc Data Science
Title: Global connectivity network analysis with Airbnb user-generated data
Student: Hitesh Kathiriya
MSc Data Science
Title: The Evolution of Wikipedia's renewable energy and climate change editors
Student: Ian Mutisya Mbiti
MSc Data Science
Title: How the COVID-19 pandemic has shaped the language of Kiva borrowers
Student: Luxshana Rajivan
MSc Data Science
Title: The most unhealthy neighbourhoods of England revealed... mapping major diseases in England
Student: Nidhi Divecha
MSc Data Science
Title: Impact of influencers' tweets on Stock market volatility
Student: Praveen Manik Kadam
MSc Data Science
Title: Resilience of neighbourhood GPs in England during the COVID-19 pandemic
Student: Sabina John
MSc Data Science
Title: Analysis of the effects of COVID-19 on the Airbnb hospitality sector
Student: Siddhant Jain
MSc Data Science
Title: Building interactive maps to identify the most common diseases in England
Student: Zohaib Khan
MSc Data Science
My area of work is applied data science with specific expertise on social/urban computing and computer-supported cooperative work. I have published more than 70 peer-reviewed papers in the field. My h-index is 20, my work has been cited over 1,400 times (source: Google Scholar).
S. Jain, D. Proserpio, G. Quattrone, D. Quercia.
Nowcasting Gentrification Using Airbnb Data.
In ACM CSCW, (Virtually Co-located with UIST), 2021.
A. Venerandi, G. Quattrone, L. Capra.
A scalable method to quantify the relationship between urban form and socio-economic indexes.
In EPJ Data Science, 2018.
A. Venerandi, G. Quattrone, L. Capra, D. Quercia, D. Saez-Trumper.
Measuring Urban Deprivation from User Generated Content.
In ACM CSCW, Vancouver, BC, Canada, 2015.
G. Quattrone, A. Nocera, L. Capra and D. Quercia.
Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace.
In WWW, Taiwan, 2020.
G. Quattrone, A. Greatorex, D. Quercia, L. Capra and M. Musolesi.
Analyzing and Predicting the Spatial Penetration of Airbnb in U.S. Cities.
In EPJ Data Science, 2018.
G. Quattrone, D. Proserpio, D. Quercia, L. Capra and M. Musolesi.
Who benefits from the "sharing" economy of Airbnb?
In WWW, Montreal, Canada. 2016.
M. Dittus, G. Quattrone, L. Capra.
Mass participation during emergency response: event-centric crowd-sourcing in humanitarian mapping.
In ACM CSCW, Portland, USA, 2017. (honorable mention)
M. Dittus, G. Quattrone, L. Capra.
Analysing volunteer engagement in humanitarian mapping: building contributor communities at large scale.
In ACM CSCW, San Francisco, USA, 2016.
G. Quattrone, M. Dittus, L. Capra.
Work Always in Progress: Analysing Maintenance Practices in Spatial Crowd-sourced Datasets.
In ACM CSCW, Portland, USA, 2017.
G. Quattrone, L. Capra, P. De Meo.
There's No Such Thing as the Perfect Map: Quantifying Bias in Spatial Crowd-sourcing Datasets.
In ACM CSCW, Vancouver, BC, Canada, 2015.
