<< Objectives >>The objective of the project is to produce a European framework in which drop-out can be tackled at an earlier stage. New methods and tools are being sought to identify the risks of dropping out of studies, utilizing e.g. artificial intelligence. In preventing the drop out of studies, emphasis is placed on low-threshold guidance and counseling services, and the possibilities of digitalisation in the provision of these services are being explored.<< Implementation >>The project will be implemented in two phases. In the first phase, the reasons and amounts of dropouts are investigated in order to find ways and means to predict dropouts. The second phase will focus on identifying good practices and developing new types of services in order to address the identified risks of disruption quickly. These steps are described as a frame of reference that brings new insight into early intervention during studies.<< Results >>As a result of the project, action proposals will be created for the organizers of the education, which will emphasize the means of anticipating and preventing the interruption of studies, taking into account the possibilities of digitalisation. This will allow better and faster support to be provided to those students who need it to support their studies and careers.In the long run, faster intervention in the risks of drop out will also improve skills and labor supply in European countries.