Overview of the Project

Emission Models and Patterns through Machine Learning Analytics at Barcelona (PATRONS @ BSC) is a project funded by the Severo Ochoa Programme (GA SEV-2015-0493) awarded to the Barcelona Supercomputing Center, and European Union FEDER through the RIS3CAT programme, under the project of FEM-IOT. PATRONS @ BSC involves research on Time Series Modeling, Data Processing from Sensor Networks, Distributed and Edge Computing, targeting Environmental Models and Pollution Pattern Mining on cities. Also has the objective to maximize the collaboration between current research activities between the Earth Sciences and Computer Sciences Departments at BSC.

PATRONS @ BSC aims to discover the precise relations between different types of emissions, from road traffic to maritime traffic in coastal cities, environmental and weather factors, and the resulting pollution and air quality. The methods and tools used for such purpose correspond to data mining and machine learning, from Stream Mining to Deep Learning techniques, oriented towards distributed computing using frameworks like Apache Spark and distributed DataBases like HBase and HIVE.

The 'Patrons @ BSC' project is a joint effort of the Earth Sciences and the Computer Sciences departments at the BSC. The involved members from Earth Sciences belong to the Emission Modeling research and Services groups, while the involved members from Computer Sciences belong to the Data-Centric Computing research group. Such effort is financially supported by the Spanish Ministry of Economy (MEIC) through a Severo Ochoa Excellence grant, awarded to the BSC, also has the support of the Spanish Ports Authority by providing the data from maritime Automated Identification System (AIS) sources. Further, the technologies used in this project are being researched and developed at Hi-EST project, funded through a ERC Starting Grant (GA 639595) awarded to Dr. David Carrera.