Conferència dins de l'assignatura Cloud Computing and Big Data. La conferència serà en castellà i està oberta a tota la comunitat de la FIB.

Summary:
Participatory platforms with geo-positioning capabilities play an important role within the smart-city paradigm. The information shared in this type of platforms can be located in a city and take the pulse of the citizens’ activity. The temporal and spatial location of spots of high activity, the mobility patterns and the existence of unforeseen bursts constitute a certain Urban Chronotype, which is altered when a  city-wide event happens (e.g. a world-class Congress).

This presentation will cover a few examples of data-mining at urban level, ranging from anomaly detection algorithms (both at volume and extension), data-combination and recommender systems.

Short Bio:
Daniel Villatoro obtained his PhD in Artificial Intelligence at the IIIA-CSIC in Barcelona. His thesis was awarded with the Victor Lesser Distinguished Dissertation Award by the IFAAMAS. During his research on normative multiagent systems he has visited and actively collaborated with Prof. Sandip Sen (University of Tulsa, USA), Dr. Giulia Andrighetto (ISTC-CNR, Italy) and Prof. Michael Luck (King’s College London, UK). Moreover, he has been an active member of the community publishing at specialized journals (JAAMAS, ACM TAAS, or PLoS-One) and organizing workshops (MABS2011 or Citisen2012-13). His research interests focus on modelling human behaviour, self-policing multi-agent systems and complex systems. Currently, Daniel works as a Researcher in Citizen Sensor Networks and Smartcities at Barcelona Digital, and as and associate professor at the University of Barcelona.

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