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Conception of data-driven AI services

The KoDaKIS project "Conception of Data-Driven AI Services", initiated in cooperation between the Chair of Information Systems at the University of Kassel under the direction of Prof. Dr. Leimeister and the Landeswohlfahrtsverband Hessen (LWV), is a groundbreaking initiative to transform the social sector through digitalization. Given the complex challenges faced by the LWV - large amounts of data and complicated administrative processes - this project aims to reshape the digital landscape in the social sector to ensure efficient and people-centered services.

The importance of the project can be understood not only through the optimization of internal processes, but above all through the social added value it generates. By developing AI-based solutions that are specifically tailored to the needs and individual circumstances of service recipients, we are specifically addressing the need to simplify access to social services and increase their quality. These digital services are designed to significantly reduce processing and waiting times, which has a direct, positive impact on the quality of life of those affected.

Project goals

The KoDaKIS project aims to use artificial intelligence (AI) to develop data-driven services that make input processes more effective and thus create added value for stakeholders. Under the scientific direction of Prof. Dr. Leimeister of the University of Kassel, innovative prototypes are to be developed that optimize the data processing processes in the MASS system of the LWV. A scientifically sound concept of use cases and a feasibility study will be developed to lay the foundation for further implementations.


The project's approach is as dynamic as it is targeted. First, basic workshops are offered to introduce the potential of generative AI, combined with a careful analysis of existing processes and systems. This in-depth insight allows us to identify the specific requirements and pain points that need to be addressed. In this explorative phase, we gather valuable insights that form the basis for the subsequent development work.

Prototypes are developed in iterative loops, starting with low-fidelity versions that are gradually developed into high-fidelity prototypes. This methodical approach makes it possible to obtain continuous user feedback and adapt the prototypes accordingly. The aim is to create a product that is not only technically mature, but also keeps an eye on and optimizes the user experience.

Parallel to the technical development, a comprehensive service concept is being developed that shows how these new technologies can be integrated into the existing structures of LWV Hessen. This includes the development of a business model that not only ensures the cost-effectiveness of the solutions, but also their sustainability and scalability.

The final phase of the project is dedicated to documenting and presenting the results achieved. The research results are recorded in a detailed final report and presented to a wider audience in a concluding presentation. This documentation not only serves as proof of our achievements, but also as an important reference for future projects and as a source of inspiration for further research and development in the field of data-driven AI services.

Results and application potential

With KoDaKIS, Prof. Dr. Leimeister's chair is positioning itself at the forefront of digital transformation in the social sector by delivering innovative solutions that are both scientifically sound and practice-oriented. This project underlines the University of Kassel's commitment and ability to bring about significant change and strengthen the welfare state in a sustainable way by combining theory and practice. By developing intelligent solutions specifically tailored to the needs of the social sector, KoDaKIS demonstrates not only the feasibility of AI technologies in this area, but also their essential value for the future of the welfare state. This pioneering project thus serves as a key reference and source of inspiration for further innovations and underlines the crucial role of digitalization in promoting social justice and efficient social care.


The project is supported and accompanied by ANLEI Service GmbH - a subsidiary of the Landeswohlfahrtsverband Hessen (LWV).

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