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Editorial

Special Issue “Data Science in Insurance”

1
Department of Mathematics for Economic, Financial and Actuarial Sciences, Università Cattolica del Sacro Cuore, 20123 Milano, Italy
2
Department of Statistical Sciences, Università Cattolica del Sacro Cuore, 20123 Milano, Italy
*
Author to whom correspondence should be addressed.
Risks 2023, 11(5), 80; https://doi.org/10.3390/risks11050080
Submission received: 18 April 2023 / Accepted: 20 April 2023 / Published: 24 April 2023
(This article belongs to the Special Issue Data Science in Insurance)

Excerpt

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Within the insurance field, the digital revolution has enabled the collection and storage of large quantities of information [...]

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MDPI and ACS Style

Clemente, G.P.; Della Corte, F.; Savelli, N.; Zappa, D. Special Issue “Data Science in Insurance”. Risks 2023, 11, 80. https://doi.org/10.3390/risks11050080

AMA Style

Clemente GP, Della Corte F, Savelli N, Zappa D. Special Issue “Data Science in Insurance”. Risks. 2023; 11(5):80. https://doi.org/10.3390/risks11050080

Chicago/Turabian Style

Clemente, Gian Paolo, Francesco Della Corte, Nino Savelli, and Diego Zappa. 2023. "Special Issue “Data Science in Insurance”" Risks 11, no. 5: 80. https://doi.org/10.3390/risks11050080

APA Style

Clemente, G. P., Della Corte, F., Savelli, N., & Zappa, D. (2023). Special Issue “Data Science in Insurance”. Risks, 11(5), 80. https://doi.org/10.3390/risks11050080

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