Our world is characterized by globalization, financialization, deepening inequalities and mounting environmental issues. It is also characterized by a growing availability of massive, diverse datasets, and of increasingly sophisticated statistical and computational tools to gather and analyze them. EMbeDS overarching goal is to bring Economics and Management in the era of Data Science, leveraging data and tools to bridge the gaps that still exist between complex models, their empirical validation, and their use in policy. Within the path delineated by research funding and engagement initiatives at the Italian, European and United Nations levels, our scientific aim is to better understand the relationships between innovation, employment, growth, social and environmental sustainability. Our policy aim is to identify public- and private-sector strategies to manage socio-economic and environmental change, and the corresponding evolution of our welfare systems.
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Daniele Licari and Andrea Vandin offered an intensive Programming and Machine Learning course for Ph.D. Students of the Scuola Normale Superiore.
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Regione Toscana, together with six Tuscan public universities and the Pisan CNR, have established CBDAI -- a new competence center on Big Data, Data Science and Artificial Intelligence.
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SoBigData++ and LeADS joint Awareness Panel.
Legal Materials as Big Data: (algo)Rithms to Support Legal Interpretation. A Dialogue with Data Scientists.
NEWS
Applications are now open for the new PhD in Artificial Intelligence & Society!
Publication Date:
Thursday, 24 June, 2021
Interested in a multi-disciplinary PhD program for cutting-edge research in human-centered Artificial Intelligence and its impacts on society? Apply for one of the 44 fully-funded positions in the novel PhD in Artificial Intelligence & Society!
Explainable AI via Computational Argumentation: a seminar by Francesca Toni
Publication Date:
Tuesday, 22 June, 2021
On Monday, June 28th, 2021, the Sant’Anna School of Advanced Studies will host a seminar by Francesca Toni titled "Explainable AI via Computational Argumentation".
DATA SCIENCE PHD DAY 2021
Publication Date:
Sunday, 20 June, 2021
First year students fo the PhD in Data Science present their research plans on June 28, 9:30am--1:30pm.