Any views expressed within media held on this service are those of the contributors, should not be taken as approved or endorsed by the University, and do not necessarily reflect the views of the University in respect of any particular issue.

So many news… Our new course “Data Science for Football Professionals” have been eventually announced with a starting date in November 2023. Also my new book (still only in Italian) “Calcio e Intelligenza Artificiale” is in press by Carocci, the largest Italian University Press, and will be available in bookshops from January 2024. I am […]

I have been listening to the new BBC podcast hosted by Steve Pinker ‘Think Twice’. The podcast features Sig Mejdal former NASA engineer and assistant manager of the American baseball team Baltimore Orioles. He is talking about how algorithmic knowledge and expert knowledge can be combined in sport. Talking about his experience with baseball, he […]

In a recent feature for the Guardian, David Goldblatt looks at EURO20 teams and identifies clusters of different typologies of diverse teams from the racial diverse teams representing the colonial empire past to those reflecting contemporary refugee migration, contrasting these to the more “monotone” teams such as Scotland. With this piece I want to expand […]

With this post I take a “femquant” approach to my study of data science in football. Following Nikita Taparia’s lead I try to articulate in more detail what it means that women are being left behind the sport data revolution. Is there something different in the women’s game? Two of the last three first halves […]

The Science of Success Through reading the paper “A public data set of spatio-temporal match events in soccer competitions” I landed on the page of the latest edition of the “Workshop on Machine Learning and Data Mining for Sports Analytics” originally planned to take place in Ghent, Belgium. That’s the seventh edition: meaning it has been […]

How big data and quick decision making fit together? I am Lecturer in Science, Technology & Innovation Studies at the University of Edinburgh, developing a sociology of data science. I am interested in how data is used in high-velocity environments. In the last ten years, I focused my research on business managers finding that when […]


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