Daniele Quercia

Cambridge, UK
Research Manager, Augmented Human Interaction

Research Interests


Daniele Quercia is Department Head of Social Dynamics at Nokia Bell Labs Cambridge (UK). He has been named one of Fortune magazine's 2014 Data All-Stars, and spoke about “happy maps” at TED.  His research has been focusing in the area of urban informatics and received best paper awards from Ubicomp 2014 and from ICWSM 2015, and an honourable mention from ICWSM 2013. He was Research Scientist at Yahoo Labs, a Horizon senior researcher at the University of Cambridge, and Postdoctoral Associate at the department of Urban Studies and Planning at MIT. He received his PhD from UC London. His thesis was sponsored by Microsoft Research and was nominated for BCS Best British PhD dissertation in Computer Science.



Massachusetts Institute of Technology, Cambridge, USA. Postdoctoral Associate in Urban Informatics. February 09-January 10.

University College London, London, UK. PhD in Computer Science. December 05-April 09.

London Business School, London, UK. MBA Technology Electives. September 04-April 09.

Politecnico di Torino, Torino, Italy. Master of Science in Computer Engineering. September 97-November 03.

Professional activities

Panel chair of ACM CSCW 2018. Track chair of IEEE ICDCS 2018. Track chair of ACM WWW 2015. Conference General chair of AAAI ICWSM 2015. Conference Track Co-Chair of ACM Hypertext 2014. Workshops and Tutorial Chair of ICWSM 2013

Program Committee Member of: ACM WSDM 2017; ACM WWW 2012, 2014, 2017, and 2018; ACM Multimedia 2014; ACM SIGIR 2014 (short papers); ACM RecSys 2013 and 2014; ACM Multimedia 2014; ACM COSN 2013; AAAI ICWSM 2013 and 2014 (Senior); 16th CSCW 2013 (Area Chair); ACM CHI 2013



M. Redi, L. M. Aiello, D. Quercia. Visual Scene Anonymization. 

N. Barbieri, D. Quercia. Method and/or system for walking route recommendation. Awarded patent, October 2017. US9803988 B2.

L. M. Aiello, D. Quercia, Rossano Schifanella. System and method for recommending pleasant routes from the sentiment of geo-tagged photographs. Awarded patent, August 2016. US9410816 B2.

D. Quercia, F. Bonchi, C. Vaca. Taxonomy-Based System for Discovering and Annotating Geofences from Geo-Referenced Data. Awarded patent, April 2016. US20160117379 A1.