DATALOG
Intermediation and governance mechanisms to help increase granular data accessible and providing data analysis tools with a privacy-by-design approach.

Fairness and Intersectional Non-Discrimination in Human Recommendation (FINDHR)
Facilitates the prevention, detection, and management of discrimination in algorithmic hiring and closely related areas involving human recommendation. FINDHR aims to create new ways to ascertain discrimination risk, produce less biased outcomes,...

SoBigData++
SoBigData proposes to create the Social Mining & Big Data Ecosystem: a research infrastructure (RI) providing an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various...

ALOHA - Software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures
Deep Learning (DL) algorithms are an extremely promising instrument in artificial intelligence. To foster their adoption in new applications and markets, a step forward is needed towards the implementation of DL inference on low-power embedded...

STOP
Suicide prevenTion in sOcial Platforms

Music meets Natural Language Processing
We aim at representing what humans say about music, discovering and extracting knowledge from available textual sources, instead of audio and symbolic sources, as it has been studied earlier

Mining the Web of Scientific Publications
The main objective of this project is the extension and development of software and approaches...

Hypergraph
High Performance processing for large data sets represented as Graphs

Dyswebxia
DysWebxia is a model that includes studies with more than 150 people with dyslexia using eye tracking to make the texts more readable by modifying the content and presentation of the text.

TYPES
Towards transparency and privacy in the online advertising business

SUPER
Social sensors for security assessments and proactive emergencies management

Privacy Alerts
Would it be ever possible to empower on-line social network users to control the confidentiality of their data?