Team

Roberto Trasarti – CNR

Roberto Trasarti was born in 1979 in Italy. He graduated in Computer Science in 2006, at the University of Pisa. He discussed his thesis on ConQueSt: a Constraint-based Query System aimed at supporting frequent patterns discovery. He started the Ph.D. in Computer Science at the School for Graduate Studies “Galileo Galilei”, (University of Pisa). In June 2010 he received his Ph.D. presenting the thesis entitled “Mastering the Spatio-Temporal Knowledge Discovery Process”. He is currently a member of ISTI-CNR, and also a member of Knowledge Discovery and Delivery Laboratory. His interests regard Data mining, Spatio-Temporal data analysis, Artificial intelligence, Automatic Reasoning.

Fosca Giannotti – CNR

Fosca Giannotti is a director of research of computer science at the Information Science and Technology Institute “A. Faedo” of the National Research Council, Pisa, Italy. Fosca Giannotti is a pioneering scientist in mobility data mining, social network analysis and privacy-preserving data mining. Fosca leads the Pisa KDD Lab – Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and ISTI-CNR, founded in 1994 as one of the earliest research lab on data mining. Fosca’s research focus is on social mining from big data: smart cities, human dynamics, social and economic networks, ethics and trust, diffusion of innovations. She is author of more than 300 papers. She has coordinated tens of European projects and industrial collaborations. Fosca is currently the coordinator of SoBigData(link is external), the European research infrastructure on Big Data Analytics and Social Mining, an ecosystem of ten cutting edge European research centres providing an open platform for interdisciplinary data science and data-driven innovation. Recently she became the recipient of a prestigious ERC Advanced Grant entitled XAI – Science and technology for the explanation of AI decision making.

Kalina Bontcheva – USFD

Professor Kalina Bontcheva is a senior researcher in the Natural Language Processing Group. From October 2015 she has been working on an EPSRC Career Acceleration Felllowship on summarisation of social media.

Dino Pedreschi – UNIPI

Dino Pedreschi is a Professor of Computer Science at the University of Pisa, and a pioneering scientist in mobility data mining, social network mining and privacy-preserving data mining. He co-leads with Fosca Giannotti the Pisa KDD Lab – Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and the Information Science and Technology Institute of the Italian National Research Council, one of the earliest research lab centered on data mining. His research focus is on big data analytics and mining and their impact on society. He is a founder of the Business Informatics MSc program at Univ. Pisa, a course targeted at the education of interdisciplinary data scientists. Dino has been a visiting scientist at Barabasi Lab (Center for Complex Network Research) of Northeastern University, Boston (2009-2010), and earlier at the University of Texas at Austin (1989-90), at CWI Amsterdam (1993) and at UCLA (1995). In 2009, Dino received a Google Research Award for his research on privacy-preserving data mining.

Mark Coté – KCL

Mark is a research-led academic with a pioneering cross-disciplinary vision that scans both the human and technical object in order to understand 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. He has collaborated with the Open Data Institute, British Library, the University of Pisa, Tactical Tech Collective and many others. He has presented his research at the British Academy, the European Parliament, the International Communication Association, the Royal Society, the Italian National Research Council, and many others.

His work has been published widely in leading journals across disciplines including Big Data & Society and the IEEE Computer. His innovative leadership in research-led teaching and curriculum development is demonstrated in the MA Data Culture and Society.

Valerio Grossi – CNR

Valerio Grossi holds a Ph.D. in Computer Science from the University of Pisa. His research interests focus on the analysis of massive and complex data including mining data streams, ontology-driven mining, business intelligence and knowledge discovery systems. He took part in several European research projects as a member of the UNIPI research group, among which figure BRITE (Business Register Interoperability throughout Europe), MUSING (MUlti-industry, Semantic-based next generation business INtelliGence) and ICON (Inductive Constraint Programming), where he focused on the development of brand new data mining and knowledge discovery applications and on the research for the development of new business intelligence approaches.

Ilaria Barsanti – CNR

Michela Natilli – CNR

Statistician, graduated in Statistics and Economics at University of Siena in 2001. She’s got a master of Science (M.Sc.) from University of Pisa in Big Data Analytics and Social Mining in 2015. Her current research interests are Food Analytics and Gender studies

Daniele Fadda – CNR

Information designer, graduated in Communication Design at the Politecnico di Milano in 2010. He’s got a master of Science (M.Sc.) from University of Pisa in Big Data Analytics and Social Mining in 2015. His current research interests are Mobility Data Analysis, Data Visualization for complex systems and Visual Analytics methods for Big Data.

He has been involved in several EU funded projects.