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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Scientific Reports published the results of a study conducted by Francesca Chiaromonte, professor of statistics and coordinator of the EMbeDS Department of Excellence, with a team of Italian researchers working at the Sant’Anna School of Advanced Studies, the Pennsylvania State University and the Université Laval.
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In July 2021 Denise Amram, one of the leads of the Predictive Justice project, and Martina Occelli, an agricultural economist studying the resilence of rural systems, became the latest affiliates of EMbeDS.
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The Institute of Economics and EMbeDS seek expressions of interest to identify potential candidates for one full-time tenure track 3-year Assistant Professor position (RTD-B).
NEWS
Introduction to Programming and Machine Learning course at SNS
Publication Date:
Wednesday, 21 July, 2021
Daniele Licari and Andrea Vandin offered an intensive Programming and Machine Learning course for Ph.D. Students of the Scuola Normale Superiore.
Big Data & Artificial Intelligence in Tuscany: a new center moves its first steps
Publication Date:
Friday, 9 July, 2021
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.
SoBigData++ and LeADS joint Awareness Panel
Publication Date:
Thursday, 24 June, 2021
SoBigData++ and LeADS joint Awareness Panel.
Legal Materials as Big Data: (algo)Rithms to Support Legal Interpretation. A Dialogue with Data Scientists.
Webinar organized under the Predictive Justice research lines of the LiderLab and EMbeDS