Data science and evidence training in courtrooms

Data science and evidence training in courtrooms

UNIPA

Data science and evidence training in courtrooms

Opened this morning streetwing MAjna DThe huge complexo Steri – “Data Science and Evidence Formation in Courtrooms” workshop organized by the Court Chambers streetSciences AndEconomy, tocompany f Statistics, Physics and Chemistry, University of Palermo. Greetings from Andrea Pace, Vice Rector for Research, Technology Transfer and Administration RelationsAnd Angelo MineoAnd DSEAS Director And Stefana MiliotoVice Chancellor for Quality, Development and Relations with Departments, The first session was held in which the following speakers were held: Maurice de LuciaAnd Prosecutor of the Court of Palermo who submitted it The agreement between the Public Prosecution and DrUniversity departments DSEAS and DiFC, Francesco PetrozzellaAnd from Public Prosecutor of the Republic of Palermo, that dealt with the subjectData infrastructures in the Italian Public Prosecution Service: State of the Art, Opportunities and Risks » And Paul PetainAnd T. Cole. affiliate Economic and Financial Police Unit in Palermo guard Finance who dealt with “Digital Forensics and Digital Investigation”. chair man Salvatore MichichiAnd affiliate ofFC.


The basic cultural project d
el Workshop yes insert In the context of legal analytics it is a modern analysis tool that applies techniques to law to extract information, from large amounts of data, through automatic or semi-automatic methods and the scientific and operational use thereof.

theLong term goal of this Important The project is to create a joint working protocol that includes, for example, textual analysis and image recognition, using artificial intelligence techniques (machine learning and natural language processing), starting withto examine Large amounts of documentary data, in order to identify statistically significant relationships between the elements present, passively or actively, in the judicial, social and economic context indicated by the texts and images taken into account. The material to be analyzed may come from restricted (forensic and investigative) access sources ed also from Open source (media, open data, corporate big data), classifiablethe By level of reliability and trustworthiness.

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