Dr Giovanni Quattrone
Name | Dr Giovanni Quattrone |
---|---|
Job title | Senior Lecturer in Computer Science |
Research institute | |
Primary appointment | Computer Science |
Email address | g.quattrone@mdx.ac.uk |
ORCID | https://orcid.org/0000-0001-9219-8437 |
Contact category | Academic staff |
Biography
Biography Giovanni joined Middlesex University in November 2016 and he is currently serving as a Senior Lecturer in the School of Science and Technology, Department of Computer Science. Prior to joining Middlesex University, Giovanni distinguished himself as a Research Fellow at University College London. To date, Giovanni has published more than 80 peer-reviewed publications, with over 1900 citations collectively (source: Google Scholar).
Teaching Giovanni leads the MSc Data Science programme with a visionary approach to education, emphasising innovation and student engagement. Committed to creating dynamic learning experiences, he employs cutting-edge teaching methods such as flipped classrooms and integrates AI-powered online survey tools to create an interactive learning environment that resonates with students. By incorporating hackathons and classroom challenges, Giovanni fosters a collaborative environment where students actively participate, discuss, and refine their solutions, promoting peer learning and thus enriching their educational journey. His dedication to innovative teaching ensures that his classes are not only informative but also enjoyable, inspiring students to excel in the field of Data Science. In addition to his teaching responsibilities, Giovanni showcases leadership in student supervision by presenting them with real-world Data Science challenges that have tangible impacts on society, industry, and research. Several of his supervised dissertations have garnered recognition, with extracts being accepted into prestigious conferences and journals. Giovanni further innovates the supervision process by implementing project management tools to streamline tasks, monitor progress, and facilitate effective communication with students. His supervisory approach is anchored in organisation, transparency, proactive monitoring, and timely feedback, ensuring a structured and supportive learning environment for students.
Education and qualifications
Grants
Marie Curie Fellowship for Career Development (FP7-PEOPLE-2009-IEF) project. Project number: 254623. Project title: “Community Folks – Identification and exploitation of user communities for efficiently handling large-scale folksonomies”. Amount: £100,000.
Prizes and Awards
Research outputs
A global-scale analysis of the sharing economy model – an AirBnB case study
Quattrone, G., Kusek, N. and Capra, L. 2022. A global-scale analysis of the sharing economy model – an AirBnB case study. EPJ Data Science. 11 (1), pp. 1-29. https://doi.org/10.1140/epjds/s13688-022-00349-3Nowcasting gentrification using Airbnb data
Jain, S., Proserpio, D., Quattrone, G. and Quercia, D. 2021. Nowcasting gentrification using Airbnb data. CSCW 2021: The 24th ACM conference on Computer-Supported Cooperative Work and Social Computing. Virtual conference 23 - 27 Oct 2021 Association for Computing Machinery (ACM). https://doi.org/10.1145/3449112Social interactions or business transactions? What customer reviews disclose about Airbnb marketplace
Quattrone, G., Nocera, A., Capra, L. and Quercia, D. 2020. Social interactions or business transactions? What customer reviews disclose about Airbnb marketplace. Huang, Y., King, I., Liu, T. and van Steen, M. (ed.) WWW'20. Taipei, Taiwan 20 - 24 Apr 2020 Association for Computing Machinery (ACM). pp. 1526-1536 https://doi.org/10.1145/3366423.3380225Analyzing and predicting the spatial penetration of Airbnb in U.S. cities
Quattrone, G., Greatorex, A., Quercia, D., Capra, L. and Musolesi, M. 2018. Analyzing and predicting the spatial penetration of Airbnb in U.S. cities. EPJ Data Science. 7 (1), pp. 1-24. https://doi.org/10.1140/epjds/s13688-018-0156-6Is the sharing economy about sharing at all? A linguistic analysis of Airbnb reviews
Quattrone, G., Nicolazzo, S., Nocera, A., Quercia, D. and Capra, L. 2018. Is the sharing economy about sharing at all? A linguistic analysis of Airbnb reviews. ICWSM 2018: Twelfth International AAAI Conference on Web and Social Media. Palo Alto, California, United States 25 - 28 Jun 2018 Association for the Advancement of Artificial Intelligence (AAAI). pp. 668 https://doi.org/10.1609/icwsm.v12i1.15065A scalable method to quantify the relationship between urban form and socio-economic indexes
Venerandi, A., Quattrone, G. and Capra, L. 2018. A scalable method to quantify the relationship between urban form and socio-economic indexes. EPJ Data Science. 7 (1). https://doi.org/10.1140/epjds/s13688-018-0132-1Work always in progress: analysing maintenance practices in spatial crowd-sourced datasets
Quattrone, G., Dittus, M. and Capra, L. 2017. Work always in progress: analysing maintenance practices in spatial crowd-sourced datasets. CSCW 2017. Portland, Oregon, United States 25 Feb - 01 Mar 2017 Association for Computing Machinery (ACM). pp. 1876-1889 https://doi.org/10.1145/2998181.2998267Mass participation during emergency response: event-centric crowd-sourcing in humanitarian mapping
Dittus, M., Quattrone, G. and Capra, L. 2017. Mass participation during emergency response: event-centric crowd-sourcing in humanitarian mapping. Lee, C. and Poltrock, S. (ed.) CSCW 2017. Portland, Oregon, United States 25 Feb - 01 Mar 2017 Association for Computing Machinery (ACM). pp. 1290-1303 https://doi.org/10.1145/2998181.2998216City form and well-being: what makes London neighborhoods good places to live?
Venerandi, A., Quattrone, G. and Capra, L. 2016. City form and well-being: what makes London neighborhoods good places to live? 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016). Burlingame, CA, USA 31 Oct - 03 Nov 2016 Association for Computing Machinery (ACM). https://doi.org/10.1145/2996913.2997011Social contribution settings and newcomer retention in humanitarian crowd mapping
Dittus, M., Quattrone, G. and Capra, L. 2016. Social contribution settings and newcomer retention in humanitarian crowd mapping. 8th International Conference Social Informatics (SocInfo 2016). Bellevue, WA, USA 11 - 14 Nov 2016 Springer. pp. 179-193 https://doi.org/10.1007/978-3-319-47874-6_13Exploring maintenance practices in crowd-mapping
Quattrone, G., Dittus, M. and Capra, L. 2016. Exploring maintenance practices in crowd-mapping. Hypertext 2016: 27th ACM Conference on Hypertext and Social Media. Halifax, Nova Scotia, Canada 10 - 13 Jul 2016 Association for Computing Machinery (ACM). pp. 285-290 https://doi.org/10.1145/2914586.2914621Guns of Brixton: which London neighborhoods host gang activity?
Venerandi, A., Quattrone, G. and Capra, L. 2016. Guns of Brixton: which London neighborhoods host gang activity? Urb Iot 2016: 2nd International Conference on IoT in Urban Space. Tokyo, Japan 24 - 25 May 2016 Association for Computing Machinery (ACM). pp. 22-28 https://doi.org/10.1145/2962735.2962750Who benefits from the "sharing" economy of Airbnb?
Quattrone, G., Proserpio, D., Quercia, D., Capra, L. and Musolesi, M. 2016. Who benefits from the "sharing" economy of Airbnb? WWW 2016: 25th International Conference on World Wide Web. Montreal, Canada 11 - 15 Apr 2016 Association for Computing Machinery (ACM). pp. 1385-1394 https://doi.org/10.1145/2872427.2874815Analysing volunteer engagement in humanitarian mapping: building contributor communities at large scale
Dittus, M., Quattrone, G. and Capra, L. 2016. Analysing volunteer engagement in humanitarian mapping: building contributor communities at large scale. 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW '16. San Francisco, CA, USA 27 Feb - 02 Mar 2016 Association for Computing Machinery (ACM). pp. 108-118 https://doi.org/10.1145/2818048.2819939Measuring urban deprivation from user generated content
Venerandi, A., Quattrone, G., Capra, L., Quercia, D. and Saez-Trumper, D. 2015. Measuring urban deprivation from user generated content. Fussel, S., Lutters, W., Ringel Morris, M. and Reddy, M. (ed.) CSCW 2015. Vancouver, Canada 14 - 18 Mar 2015 Association for Computing Machinery (ACM). pp. 254-264There’s no such thing as the perfect map: quantifying bias in spatial crowd-sourcing datasets
Quattrone, G., Capra, L. and De Meo, P. 2015. There’s no such thing as the perfect map: quantifying bias in spatial crowd-sourcing datasets. Cosley, D., Forte, A., Ciolfi, L. and McDonalld, D. (ed.) CSCW 2015. Vancouver, Canada 14 - 18 May 2015 Association for Computing Machinery (ACM). pp. 1021-1032 https://doi.org/10.1145/2675133.2675235610
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