Program
Monday, September 18th, 2017
09:00 - 10:40 Session 1
- 09:00 - 09:10 Welcome
- 09:10 - 09:30 Eugenio Tacchini, Gabriele Ballarin, Marco Della Vedova, Stefano Moret and Luca De Alfaro: Some Like it Hoax: Automated Fake News Detection in Social Networks (slides)
- 09:30 - 10:30 Invited Talk, Alexandra Olteanu, IBM Research: Using Social Media to Understand Collective and Personal Events: Challenges and Applications (slides)
- 10:30 - 10:40 Discussion
10:40 - 11:00 Coffee break
11:00 - 12:40 Session 2
- 11:00 - 11:20 Jonathan Rebane, Isak Karlsson, Lars Asker, Henrik Boström and Panagiotis Papapetrou: Learning from Administrative Health Registries (slides)
- 11:20 - 11:40 Zahra Ahmadi, Sophie Burkhardt and Stefan Kramer: Online Topic Modeling: Keeping Track of News Topics for Social Good (slides)
- 11:40 - 12:00 Joan Garriga, Jaume Piera and Frederic Bartumeus: A Bayesian Reputation Framework for Citizen Science (slides)
- 12:00 - 12:40 Directed discussion. The following questions are proposed for discussion by the audience:
- Is there a common methodological core that covers the main application areas of data science for social good? Is it possible or even desirable to have one?"
- European collaboration and infrastructure - what kind of data-science-for-social-good initiatives / structures could be put up across Europe?
- Future directions for data science for social good and new emerging domains.