The workshop aims to provide an overview of the active projects seeing the participation of the CINI Lab on Big Data. Three main projects will be discussed in the workshop as follows.

• EU H2020 Project Privacy-First Situational Awareness Platform for Violent Terrorism and Crime Prediction, Counter Radicalisation and Citizen Protection (COUNTER)

  aims to develop a frontline community policing tool to counteract radicalisation in Europe. It will draw data from disperse sources into an analysis and early alert platform for data mining and prediction of critical areas such as communities. It will make use of the latest natural language processing technologies. The findings will help practitioners address propaganda with effective counternarratives. The CounteR solution will support information sharing between law enforcement agencies and collaboration between agencies by providing an open platform.
  

  Role of the Lab:

  The role of the CINI Lab on Big Data is to develop data collection tools from social media and dark/deep web, on one side, and new analytics algorithms based on machine learning for radicalisation detection.

  Presenters:

  • Marco Anisetti (Università degli Studi di Milano)
  • Michelangelo Ceci (Università degli Studi di Bari)

• EU H2020 Project Adaptive multi-tier intelligent data manager for Exascale (ADMIRE)

  aims to develop an adaptive storage system that should allow high-performance computing systems to deliver very high throughput and increase application performance. The aim is to significantly improve the runtime of applications in fields such as weather forecasting, remote sensing and deep learning.
  

  Role of the Lab:

  The CINI unit of the project sees the collaboration between the CINI Lab on High Performance Computing (leading the unit) and the CINI Lab on Big Data (participating to the unit). The role of the CINI Lab on Big Data is to define and develop the proper data analytics techniques for increasing the effectiveness and performance of HPC architectures.

  Presenters:

  • TBA

• EU H2020 Project Intelligent Management of Processes, Ethics and Technology for Urban Safety (IMPETUS)

  aims to develop an instrument that covers the entire physical and cybersecurity value chain, increasing city resilience to security events in public areas. It will apply IoT, AI and Big Data technologies, ensure smart city capabilities in protecting personal data and establish a multi-tenant solution entirely coordinated with the operational needs of a wide range of city stakeholders.
  

  Role of the Lab:

  The role of the CINI Lab on Big Data is to define and deploy a big data engine with a novel data governance solution based on access control, on one side, and to implement new machine learning algorithms for anomaly detection and event recognition.

  Presenters:

  • Claudio A. Ardagna (Università degli Studi di Milano)
  • Chiara Braghin (Università degli Studi di Milano)
  • Michelangelo Ceci (Università degli Studi di Bari)