Giuseppe Serra
University of Udine
Principal Investigator
Lorenzo Baraldi
University of Modena and Reggio Emilia
Associated Investigator
Walter Quattrociocchi
University of Rome "La Sapienza"
Associated Investigator
UNIUD is a Public University founded in 1978. It has a total population of over 15,000 students, distributed among 79 courses (40 bachelors and 39 masters), and engages over 700 researchers.
UNIUD coordinates project MUSMA with Prof. Serra, co-director of the Artificial Intelligence Laboratory (AILAB-Udine) founded in 1984. The research activities of AILAB-Udine focus on Deep Learning applied to Natural Language Processing, Social Media Analysis, and Computer Vision.
The team of AILAB-Udine previously lead an international project with the Massachusetts Institute of Technology (MIT) on Misinformation Detection, as well as international project on a Social Media Analysis platform for monitoring vaccines through Twitter Analysis. This initiative has received a great impact in the media (RaiNews24, Fatto Quotidiano, Messaggero Veneto etc) and in the scientific community. This project was selected as one of the best 20 ICT applications in the category “E-science” (out of 1,000 submitted projects) in the World Summit on the Information Society Forum.
The dedicated team at AILAB-Udine will use their acquired expertise in social media and fake news analysis for project MUSMA.
Principal Investigator:
Prof. Giuseppe Serra
Email:
giuseppe.serra@uniud.it
UNIMORE (1175) is the third oldest University in Europe, with more than 20,000 students, including 3500 postgraduates, and 900 faculty members.
UNIMORE participates in the project with the Engineering Dept. "Enzo Ferrari” (DIEF) and with the AImageLab group, coordinated by Dr. Lorenzo Baraldi. AImageLab is a research laboratory focused on Artificial Intelligence, Computer Vision, Multimedia and Deep Learning, established as a unit in the ELLIS network (European Laboratory for Learning and Intelligent Systems).
The group involves more than 20 researchers, mainly oriented towards Deep Learning and Computer Vision and with large experience in Multimedia, Cross-Modal Analysis, Image Captioning, Machine Learning for human behavior understanding, and Video Semantic Segmentation.
AImageLab is also one of the European Facebook AI research Labs, has a collaboration with Panasonic, NTNU, Aalto University, as well as with CINECA for the access to computational resources and the development of massively parallel neural algorithms.
All these skill will be applied to the MUSMA project to develop tools for multimedia understanding.
Principal Investigator:
Dr. Lorenzo Baraldi
UNIROMA1 is one of the largest European universities by enrollments and, founded in 1303 in Rome, one of the oldest in history. It is one of the most prestigious universities in Italy and the world, commonly ranked first in national rankings and Southern Europe and recently ranked first in the world for classics and ancient history.
UNIROMA1 participates in the project with CDCS, the Center of Data Science and Complexity for Society. This laboratory has expertise in understanding the spread of information on social media platforms, analyzing the formation of echo chambers and polarized groups, developing models for epidemic outbreaks, and analyzing mobility trends. They focus on the synergy of network science and complex systems to tackle large-scale social phenomena.
The group is led by Prof. Quattrociocchi, who was the coordinator of the round table on Fake News and the role of Universities and Research to contrast Fake News chaired by the President of Italy's Chamber of Deputies, thescientific Advisor of the Italian Communication Authority (AGCOM) about information flows on social media platforms, and a Member of the Task Force to contrast Hate Speech nominated by the Minister of Innovation. Currently, he is the PI for the UK-founded project IRIS to study the diffusion of (mis)information about COVID-19 and climate change.
The UNIROMA1 team will use their knowledge on network science and misinformation to develop effective tools for project MUSMA.
Principal Investigator:
Prof. Walter Quattrociocchi