Projects

DATALAB has participated in several research programs funded by national and European Commission research funds. DATALAB has participated in more than 25 research and development projects from which it has scientifically leaded more than 15 projects in the area of advanced data management and analytics, social networks, Web content mining and cloud computing. The most recent research activity involves relevant projects funded by the EU H2020 framework.

PTwist aims to design, deploy, and validate an open platform which will twist plastic reuse practices, by boosting citizens awareness, circular economy practices, and sustainable innovation inline with the new
Read More

ONLINE-S3 will develop an e-policy platform, augmented with a toolbox of applications and online services, able to assist national and regional authorities in the EU to elaborate their smart specialization
Read More

ENCASE will leverage the latest advances in usable security and privacy to design and implement a browser-based architecture for the protection of minors from malicious actors in online social networks.
Read More

The Big Data era poses a critically difficult challenge and striking development opportunities in High-Performance Computing (HPC): how to efficiently turn massively large data into valuable information and meaningful knowledge.
Read More

SAFE YOU aims to dynamically contribute to anti-doping in fitness and amateur sports. To do so effectively we should abide by the following principles: (i) Primary prevention, (ii) Empowerment through
Read More

Fix the Fixing aims to develop a user-friendly educational tool will that will be used by stakeholders to increase people’s involved in sport awareness about corruption, fraud and match-fixing in
Read More

There is no escape from the expansion of information, so that structuring and locating meaningful knowledge becomes ever more difficult. This project will tackle this urgent problem using the unique
Read More

The aim of EICOS is to provide the methodology, the theoretical and modeling foundations as well as the algorithmic techniques and the necessary software architecture that will facilitate the personalization,
Read More

Legacy systems are likely to contain software vulnerabilities that can lead to various security breaches. On the other hand, these systems contain valuable information about the environment, the creation and
Read More

Real and Virtual Social Interactions and Reciprocities via efficient sentiment and affective analysis methodologies for extracting or recording and analyzing emotional information in real and virtual life. Detect and characterize
Read More

Social and sensor data streams integration via data mining and statistical analysis methodologies and practices utilized to communicate sensor measurements to the public (citizens, authorities, etc), while at the same
Read More

Cloud-based framework for social networks trends detection and analysis via real-time large-scale data clustering techniques, evolving social graph mining with tailored data preprocessing and cleaning. Emphasis placed on analyzing societal
Read More