Principal Investigator: Elena Esposito
The algorithmic turn of prediction, connected with Big Data and Machine Learning, presents an exciting and urgent challenge for the social sciences. Recent advances in digital forecasting claim to provide a predictive score for individual persons or singular events, thereby introducing a new way to manage the uncertainty of the future. But knowing the future in advance is not only advantageous. In fact, for our society, uncertainty about the future is also a resource.
Since modernity, with the support of probability calculus various social institutions in different domains have developed means of coping with ignorance of the future by starting with the one thing that we all share - uncertainty. What happens to the stabilized forms of management of the future when their first resource - shared uncertainty - is missing?
Website: ERC Predict
Members of the Department
Elena Morotti
Other members
| Alberto Cevolini |
Università di Modena e Reggio Emilia
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| Dominik Hofmann |
Università di Bielefeld, Germania |
| Simon Egbert |
Università di Bielefeld, Germania |
| Paola Angelini |
Regione Emilia-Romagna |
| Vincenzo D’angelo |
Scuola Universitaria Professionale della Svizzera italiana
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Publications
Conferences, lectures and talks
- The Future of Prediction: The Social Consequences of Algorithmic Forecast, Columbia Business School, May 29th 2024
- Insurance and Social Theory: An Interdisciplinary Workshop, University of Bologna, 14-15 December 2023
- The Future of Insurance. How Does Algorithmic Prediction Affect Insurance Practices? University of Bologna, 18-19 November 2021