Predictive Justice is an ambitious long-term project built on an innovative approach and philosophy.
The approach is based on the assumption that only the combination of different expertise and tools in coherent and integrated pipelines can deliver effective results quickly. For this reason, the teams of each ‘sub-project’ are interdisciplinary and the individual sub-projects are also scientifically and operationally autonomous projects. It is precisely the idea that the advancement of knowledge with its application implications offers building blocks that can be organised modularly in a variety of ways that has convinced us to organise the work into building-block projects.
The ambitions are multiple and transversal: from the attempt to “export” knowledge, techniques, and solutions across disciplines (e.g. from omics to legal data mining), to the coupling of protocols and software to automate the pseudonymisation of texts, or to the creation of innovative tools for querying legal materials through their automatic annotation, to the construction of predictive tools based on data science and Artificial Intelligence, to the attempt to offer comprehensible explanations on the functioning of the tools used and adapt them to the various end-users’ needs/abilities.
All these steps are obviously articulated in full coherence with the corresponding regulatory and ethical frameworks, in the belief that regulatory and ethical profiles in research are central and go beyond mere adherence to norms.