Goals

Enhancing Legal Competencies in AI and Data Analytics

Provide competencies in the legal students for managing the introduction of the AI and data analytics in the society, related to their specific job but also in general to understand the phenomena of the society through a correct analysis of the data and of the visualization.

Interdisciplinary Approaches to Legal Education

Enlarge the debate in the academic community about the value of the interdisciplinary teaching combining legal theoretical methodology and data science approach, in order to offer courses to different categories of students (LLM and PhD).

Driving Digital Transformation in the Legal Domain

Promote digital transformation in the legal domain (lawyers, judges) where a conservative approach creates resistance to the introduction of the ICT for producing a new business process organization.

Empowering Citizens with Data Literacy and AI Awareness in the Infosphere

Create a more robust society where the citizens can act in the infosphere with more consciousness and intellectual autonomy while correctly using data, visualization, artificial intelligence tools.

 

 

Project co-founded by