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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In March 2020, Sant'Anna will host Alan Kirman, a scholar whose research interests are closely related to EMbeDS.
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As part of the recruitment linked to EMbeDS, the Institute of Management of the School launches a call for expressions of interest to identify potential candidates for one full-time non-tenure track 5-year Assistant Professor position (RTD-A) in Statistics and its applications to the Social Sciences, and one full-time non-tenure track 5-year Assistant Professor position (RTD-A) in Business Administration.
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SoBigData++ H2020-INFRAIA-2018-2022 starts its work!
NEWS
THREE NEW PHD STUDENTS, Andrea Antico, Federico Cupellini and Anthony ONOJA, JOIN EMBEDS
Publication Date:
Wednesday, 5 February, 2020
We welcome Andrea Antico, Federico Cupellini and Anthony Onoja who recently joined the PhD Programs in Economics, Management and Data Science.
2020/01/19 Andrea Vandin, tenure-track Assistant Professor, JOINS EMBEDS
Publication Date:
Wednesday, 29 January, 2020
We welcome Andrea Vandin who recently joined the Institute of Economics of the Sant’Anna School of Advanced Studies and EMbeDS as a tenure-track Assistant Professor in Computer Science.
IL FISCO DEL FUTURO: NUOVE TECNOLOGIE, SEMPLIFICAZIONE TRIBUTARIA E LOTTA ALL’EVASIONE - workshop
Publication Date:
Monday, 27 January, 2020
Are "smart" taxation approaches based on big data and machine learning a threat to privacy? How can we measure their costs and benefits? Join us for a workshop on Fri January 31 at 2:00pm, in the Aula Magna of the Sant'Anna School.