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 | 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 12:00 | Juan Duran | Fabiana Zollo | Paolo Gerbaudo | Salvatore Rinzivillo | Students presentation | |
12:00 12:15 | Meeting with Tutors | |||||
12:15 12:30 | TBA | |||||
12:30 12:45 | Mark Coté | Michele Starnini | Luca Pappalardo | |||
12:45 13:00 | ||||||
13:00 13:15 | Salvatore Citraro | |||||
13:15 13:30 | ||||||
13:30 15:00 | Lunch Break | Lunch Break | Lunch Break | Lunch Break | Lunch Break | |
15:00 16:00 | Student Projects | Student Projects | Social Event | Student Projects | Open discussion for follow-up activities | |
16:00 16:30 | Coffee Break | Coffee Break | Coffee Break | |||
16:30 18:00 | Student Projects | Student Projects | Student Projects | |||
18:00 19:00 | Welcome Cockatil | Social Event | ||||
20:00 | Hotel Dinner | Tuscan Dinner | Hotel Dinner | Social Event | Hotel Dinner |
All the speakers
Salvatore Citraro
Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR)
Salvatore Citraro holds a Master's degree in Digital Humanities, with a specialization in Language Technologies, and a Ph.D. in Computer Science at the University of Pisa, with a thesis focused on enriched complex network analysis. Currently, he works as a researcher at ISTI-CNR, with interests at the intersection of Data Mining, Natural Language Processing (NLP), and Network Science. His major works are on cognitive network science, an interdisciplinary field that combines principles from cognitive science and network theory to study how information, ideas, and behaviors are processed and spread within networks.
Mark Coté
King’s College London
Mark is a Reader in Data and Society in the Digital Humanities department of King’s College London. His cross-disciplinary research addresses the relationship between the human and technical object and examines the societal dimensions of data, computation and AI. He has been PI or CI on EPSRC, H2020, and AHRC grants valued at more than £10 million. He collaborates with computer scientists in social data analytics and cybersecurity, social scientists and policy experts and legal scholars. He is a PI and Strategic Board member of REPHRAIN, the UK’s national research centre for online harm mitigation and data empowerment, and a PI on SoBigData, the European research infrastructure for social data analytics. His work has been presented at conferences and keynotes globally and has been published widely in leading journals across disciplines including Big Data & Society and the IEEE Computer.
Juan Duran
Tu Delft
Juan M. Durán is an Assistant Professor at TU Delft, specializing in the ethics and epistemology of data and algorithms. His research explores the societal impact of computational systems, emphasizing their ethical challenges and epistemic foundations. He is the recipient of the prestigious Herbert A. Simon Award, which honors scholars advancing the intersection of philosophy of science, ethics, and algorithms. Beyond academia, he is the proud father of Diego—unofficially named after the greatest footballer of all time.
Paolo Gerbaudo
Complutense University of Madrid
Paolo Gerbaudo is an Italian social scientist based at Complutense University in Madrid where he is a senior researcher with talento investigador programme of the autonomous community of Madrid at the department of political history, theory and geography. He is the author of four books on social movements, politics and populism: Tweets and the Streets (2012), The Mask and the Flag (2017) and The Digital Party (2019), and The Great Recoil (2021) and has published over 20 journal articles on social movements, political parties and digital technology.
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.
Michela Natilli
Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR)
She is in the management team of the SoBigData Research Infrastructure, the European Research Infrastructure for Big Data and Social Mining and she is the Research Infrastructure Manager of SoBigData.it (the Italian node of Infrastructure). A statistician, graduated in Statistics and Economics at University of Siena, she got a master of Science (M.Sc.) from University of Pisa in Big Data Analytics and Social Mining in 2015. Her background is in applied data science with particular interests in the design and development of Big Data Analytics experiments for defining and monitoring statistical indicators for complex social phenomena also in a gender perspective.
Luca Pappalardo
Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR)
Luca Pappalardo is a member of SoBigData.eu, the European research infrastructure on big data analytics and social mining. With a degree in Computer Science, Luca started exploring massive datasets of human movements, publishing several papers on human mobility analysis and modelling. In a natural evolution of his research trajectory, Luca shifted focus to the pressing issue of urban congestion, pioneering efforts centered on designing innovative routing strategies that balance individual travel optimization with the collective well-being of a city. Luca is now broadening his scope to address the profound impact of AI on complex systems in realms like social media, conversational systems, online retail and, of course, urban environments. His overarching goal is to design next-generation algorithms that balance the individual needs of users with broader collective objectives using tools at the intersection of computer science, network science, and computational social science.
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
Salvo Rinzivillo
Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR)
SR is a computer scientist, specialized in AI and machine learning, particularly focusing on enhancing explainability within these fields to foster trust and reliability. With a keen interest in visual representations of data, he bridges the gap between technology and understanding, making complex concepts accessible to all audiences. Beyond his professional pursuits, his background as a maker drives him to continually explore new possibilities and push boundaries in creative problem-solving.
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.
Roberta Savella
Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR)
Roberta Savella is a Research Fellow at Istituto di Scienza e Tecnologie dell’Informazione (ISTI) of the Italian National Research Council. She graduated in law at University of Pisa in 2020, and her areas of interest are data protection and new technologies law, with a focus on the European Digital Strategy and the legal and ethical issues related to Artificial Intelligence. She is co-author of the SoBigData Academy Course “Legal and Ethical aspects of Data Science” and author of the recurring column “So Big Laws – A Legal Guide to the Big Data Galaxy” of the SoBigData Magazine. She has also contributed to several online training courses and books on data protection.
Michele Starnini
Universitat Pompeu Fabra
Michele Starnini is currently a Ramon y Cajal fellow at the Universitat Pompeu Fabra. He authored more than 45 papers in physics, sociological, biological, and computer science journals, collecting more than 4900 citations. He has led several national, European, and extra-European research projects. He is a researcher in complex systems, networks, and computational social sciences. His work focuses on understanding emergent socio-economic phenomena, such as the spread of behaviors or ideas within populations, the dynamics of social interactions, and cooperation among individuals.