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

Daniele Quercia
Research Team Lead, Bell Labs

Website | @danielequercia

Daniele Quercia is currently building the Social Dynamics group at Bell Labs in Cambridge, UK. Daniele’s research focuses on the area of urban informatics and has received best paper awards from Ubicomp 2014 and ICWSM 2015 as well as an honorable mention from ICWSM 2013. Previously, he was a research scientist at Yahoo Labs, a Horizon senior researcher at the University of Cambridge, and a postdoctoral associate at MIT. Daniele has been named one of Fortune magazine’s 2014 data all-stars and has spoken about “happy maps” at TED. He holds a PhD from UC London. His thesis was sponsored by Microsoft Research and was nominated for BCS best British PhD dissertation in computer science.

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.