Detailed Program
The school is organized in two parts: in the morning students will attend lectures with different speakers, while in the afternoon they will work on group projects guided by dedicated tutors.
TIME | Sunday 22 | Monday 23 | Tuesday 24 | Wednesday 25 | Thursday 26 | Friday 27 |
|---|---|---|---|---|---|---|
09:00 09:30 | Registration | |||||
09:30 10:00 | Meeting with Tutors | Round of presentations (Students) | Giulio Rossetti | János Kertész | Daniele Quercia | Jussara Marques de Almeida |
10:00 10:30 | Michela Natilli | |||||
10:30 11:00 | Roberta Savella | |||||
11:00 11:30 | Coffee Break | Coffee Break | Coffee Break | Coffee Break | Coffee Break | |
11:30 12:30 | TBA | TBA | TBA | TBA | Students presentation | |
12:30 13:30 | TBA | TBA | TBA | TBA | ||
13:30 15:00 | Lunch Break | Lunch Break | Lunch Break | Lunch Break | Lunch Break | |
15:00 18:00 | Student Projects | Student Projects | Social Event | Student Projects | Open discussion for follow-up activities | |
18:00 | Welcome Cocktail | |||||
20:00 | Hotel Dinner | Hotel Dinner | Social Event | Hotel Dinner | Social Event | Hotel Dinner |
All the speakers
Giulio Rossetti
Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR)
Giulio Rossetti is a Senior Researcher at ISTI-CNR and External Professor at the University of Pisa. He is also a member of the Knowledge Discovery and Data Mining Laboratory (KDD-lab), a joint research team that connects the Computer Science Department of the University of Pisa, the Institute of Information Science and Technologies of CNR, and the Scuola Normale Superiore. Within the lab, he coordinates the research activities on Complex Network Analysis. His research focuses on modeling, characterizing and forecast emerging (social) behaviors leveraging complex networks and AI/ML techniques. His current research encompasses dynamics on and of complex networks, feature-rich and higher-order network modeling, polluted information environments, online well-being, and cognitive network science.
János Kertész
Eötvös University Budapest
János Kertész (Dr. rer. nat. Eötvös University Budapest). 1991-2018 he was professor at the Budapest University of Technology and Economics. Since 2012 he has been professor at the Central European University (CEU Budapest-Vienna). His main interest is in interdisciplinary applications of statistical physics. He has contributed to the fields of percolation theory, fractals, granular media, econohysics, network science and computational social science. He is an elected member of the Hungarian Academy of Sciences and an external member of the Finnish Academy of Science and Letters. He has been awarded several recognitions including the “Finland Distinguished Professorship”, the “Széchenyi Prize” of the Hungarian State and the “Benjamin Lee Professorship” of the Asia Pacific Center for Theoretical Physics.
Jussara Marques de Almeida
Universidade Federal de Minas Gerais
Jussara M. Almeida holds a PhD and an MSc degrees in Computer Science from the University of Wisconsin-Madison, USA (2003 and 1999, respectively), as well as a Master and Bachelor degrees also in Computer Science by the Universidade Federal de Minas Gerais (UFMG), Brazil (1997 and 1994, respectively). She is currently an Associate Professor in the Computer Science Department at UFMG as well as Affiliated Member of the Brazilian Academy of Sciences (2011-2015). Her research is focused around understanding how users interact with different applications, characterizing and modeling the workload patterns that emerge from such interactions, and exploiting those patterns to enhance current applications and services on the Web. She is particularly interested in characterizing and modeling user behavior in online social networks, and social computing in general.
Daniele Quercia
Politecnico di Torino - Nokia Bell Labs Cambridge
Daniele Quercia is Director of Responsible AI at Nokia Bell Labs Cambridge (UK) and Professor of Computer Engineering at Politecnico di Torino. He has been named one of Fortune magazine's 2014 Data All-Stars, and spoke about “happy maps” at TED. He was Research Scientist at Yahoo Labs, a Horizon senior researcher at the University of Cambridge, and Postdoctoral Associate at the department of Urban Studies and Planning at MIT. He received his PhD from UC London.
web: researchswinger.org