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DALIDA - DAta, LIability, and Damages


Deadline for registration - EXTENDED

January 29th, 2024


March 4th-8th, 2024

Learning objectives

DALIDA Seasonal School aims to develop skills and competence to deal with tort and contractual liabilities and damages compensation, considering the current challenges arising from the application of data science methodologies to case-law analysis and bioengineering solutions to improve the quality of life for injured persons.

Participants could familiarize with the EU data strategy initiatives and their consequences on fundamental rights protection in a comparative perspective, focusing on:

i) the role of digitalisation and predictive tools to assess pecuniary and non-pecuniary losses; ii) new risk management strategies for digital scenarios; iii) AI-based and robotics applications to restore functionalities and reduce the impairments of personal injuries; iv) systematic effects on tort and contractual liability.

The acquired methodologies will complete existing traditional learning approaches to the investigated issues, contributing to develop the next generation of smart professionals (e.g. lawyers, judges, legal and insurance advisors, clinicians, forensic experts, data scientists and software developers, engineers, policy makers, etc).

Teaching methodologies

DALIDA participants will find an interactive, interdisciplinary, and international learning Data, Liabilities, and Damages are analysed in a comparative perspective, focusing on the evolution that the big data analysis and the technological innovation challenges are providing for the relevant stakeholders (legal professions, clinical ones, SMEs developing relevant services and products, policy makers etc). In addition, the combination of theoretical classes with case-studies and simulations discussed together with cross-disciplinary experts will provide unique lenses to interpret the interplay between data regulations, liabilities paradigms, and damages compensation.

Who should attend this Seasonal School

Undergraduate, postgraduate, and PhD students from different backgrounds (e.g. law, political science, economics, management, forensic medicine, life sciences, computer science and engineering) who are interested in interpreting the interplay between the EU data strategy, tort and contractual liabilities, and damages compensation in real scenarios, where the big data analysis and the technological innovation are daily contributing to shape new services and products.

Coordinator and key teaching staff

Dr. Denise Amram, Coordinator

Professors Giovanni Comandé, Caterina Sganga, Maria Gagliardi, and Dr. Antonio Davola: Law;

Dr. Benedetta Guidi: Forensic Science;

Dr. Simona Crea, Dr. Marco Controzzi, Dr. Lorenzo Vannozzi Bioengineering.


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