Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Giovanni Quattrone

Giovanni Quattrone
Lecturer, UCL

Giovanni Quattrone is a lecturer in computing science in the Research group in applied software engineering in the Department of Computer Science at Middlesex University’s School of Science and Technology as well as an honorary member of the Department of Computer Science at University College London, UK. Previously, Giovanni was a research fellow in the Geospatial Analytics and Computing group at University College London and in the Department of Computer Science at University College London. He joined University College London thanks to the FP7-PEOPLE-2009-IEF Marie Curie Action.

Sessions

17:2518:05 Wednesday, 24 May 2017
Emerging Technologies
Location: Capital Suite 14
Level: Non-technical
Daniele Quercia (Bell Labs), Giovanni Quattrone (UCL)
Sharing economy platforms are poorly regulated because there is no evidence upon which to draft policies. Daniele Quercia and Giovanni Quattrone propose a means for gathering evidence by matching web data with official socioeconomic data and use data analysis to envision regulations that are responsive to real-time demands, contributing to the emerging idea of algorithmic regulation. Read more.