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AI Breakfast - Covid-19: Myths and realities of tracking applications

The Council of Europe and the University of Strasbourg organised the 5th edition of the "AI Breakfast" in the form of a webinar on 16 April 2020.

Three experts were brought together on the topic of tracking applications on mobile phones in the fight against COVID-19. Michael Veale, Lecturer at University College London, Dino Pedreschi, Professor of Computer Science at the University of Pisa and Adrien Basdevant, a data protection lawyer, discussed the myths and realities of these applications.

TNA experience: Adaptation of online abuse detection algorithms to Spanish

Alex Bravo Serrano TNA's experience in GATE, Sheffield, UK

As the amount of user generated content in social media is increasing at an exponential pace, detecting offensive language and harmful content automatically in an efficient way is a very important issue for the society. The offensive language can be expressed in various forms such as hate speech, cyberbullying, profanity and harassment, which has negative effects especially in adolescents.

Real Time Epidemic Datathon

ETHZ and SoBigData are organizing a Real Time Epidemic Datathon

What is "Epidemic Datathon"?

It is a collective open source real-time forecasting challenge that aims at joining forces to develop real-time and large-scale epidemic forecasting models.

SoBigData in the Covid-19 Italian Task Force

The Italian Ministry for Technological Innovation and Digitization has established a new Task Force for the Covid-19 Emergency that includes several SoBigData participants.
The mission of the Task Force is to provide studies and analyses to support the Italian Government and the Public Administration in defining policies useful to contain the virus spread.

Link prediction on club- player-agent network in soccer

by Pavithra Elumalai, India

Spatio-temporal match data for Soccer Analytics

The largest collection ever of spatio-temporal data of soccer matches is made public on Scientific Data. A crucial resource for the developing of Sports Analytics.

Sentiment Analysis for Twitter posts

by Ahmed AbuRa'ed from Universitat Pompeu Fabra (UPF)

TNA @ Sheffield University

Evaluation of wake-up time using mobile phone network data

by Gergő Pintér (PhD Student) Host: SoBigData.IT, ISTI-CNR, Pisa, Italy

Dino Pedreschi interview @ Workshops to design a Human Centered AI roadmap in Europe

Dino Pedreschi has been interviewed for the Workshops to design a Human Centered AI roadmap in Europe, in the context of the Humane-AI project.
You can watch the full interview at this link..

What is your opinion on Human – Centered AI?