AI based methods for preventing recruitment of youth into organized crime.

Purpose and goal:

This project application is a response to the fact that children and young people are committing increasingly serious crimes in Sweden. The new government mission (Bob) aims to combat this development by placing collarborartion requirements on and between various local social agencies/actors within particular focus area. The project aims to develop an AI-based knowledge database and a cross-sector approach which seeks to enhanse prevent in recruitment of children and young people into organized crime.

Expected results and effects:

This project will enables access to a broad base of knowledge and research in a user-friendly way, which should simplify and strenghten the choice of social initiatives.In using an AI solution, new effective och potent initiatives and experience can be accessed during the course of the project. Skyddsvärnet- anno 1910, Göteborgs Stadsmission and Initca, work with evidence-based methods and can expect to benefit from the AI tools ability to structure and analyse unstructured data. This will in turn improve continuity and colaboration with the given initiative.

Approach and implementation: The project period is 18 months and is divided into seven sprints, all of which culminate in a

workshops. The workshop attendants will be all project parties, the reference group as well as representatives of relevant municipalities.

The project group consists of representatives from all project partners and is structruded around a biweekly meeting. These meetings ensure project progress and offer a forum for discussion and demonstration around methods and technical solutions.