By coordinating resident data that exists between different administrations, and connecting big data analyzes and AI, we would be better able to understand the residents' complex needs on an aggregate level and thus design new cross-administrative municipal services with greater value creation for both residents and municipalities.
Curious? Read more about Datalabbet here.
The public sector has always had problems creating coordinated services with the inhabitants at the center. The more the public services have been professionalized, the more they have been dissected and divided into sub-processes, which in turn has meant that instead of offering the resident complete solutions to their complex problems, the resident himself is forced to navigate the system and meet the right service person for each individual need. . The municipality has a lot of information about the inhabitants that cannot be shared between the administrations. This means that we cannot make patterns in behavior visible or understand the complexity of the inhabitants' relationship with the municipality. At the same time, the possibilities with big data analyzes and AI are emerging, two tools that could give us new comprehensive answers and important information about our residents' needs. The possibilities with big data analyzes and AI within the municipality are many, but often encounter legal obstacles as the many laws in this area are overlapping and unexplored. At the same time, attitude studies show new and paradoxical expectations from our residents about how we use personal data and what services we provide digitally. People are increasingly sharing personal data as they use more and more digital services, at the same time their attitude to share data largely depends on who they share the data with and what it is used for. In other words, how the municipality uses - or does not use - the residents' personal data will affect their trust in the municipality. In order for the municipality to keep up with digital development and be able to offer digital services that are up-to-date and that residents demand, we need to explore both the law and ethics regarding the handling of personal data in order to be able to make aggregated analyzes.
The Data Lab will, with the help of researchers from Lund University and Malmö University, partly explore legal possibilities to coordinate deidentified individual data from several authorities (administrations) and partly understand the Helsingborgs' attitude to coordinate data for this purpose. The project is divided into two parts:
Part 1 is about examining what we MAY do, that is, what space the law provides to coordinate data and connect to AI.
Part 2 is about examining what we SHOULD do, ie what attitudes the residents of Helsingborg have about the municipality's use of their personal data.
Should it turn out that the law says that we may use personal data more extensively than we do today but the residents do not think we should do it, perhaps we should not do it either. But if the residents think that we should use personal data more than the law says we can, there is reason to review the law and modernize it.