Technological solutions can help to overcome current and future economic and societal challenges. The basic prerequisite for the effectiveness of these solutions, for example in the form of increasing resilience, are corresponding transformation processes. For the success of the transformation, it is essential that technological trends are translated into innovations and that the transformation process is supported by all actors involved.
The Distributed Intelligence and Open Innovation working group aims to bundle the competencies of all stakeholders involved in order to pick up trends in research and development needs at an early stage, develop them together with the actors and thus create the basis for successful innovation. In this context, suitable formats for knowledge and technology transfer are being developed. The success of innovative technologies depends heavily on the acceptance of the intended users. The working group consequently deals with methods of proactive acceptance research, for example in the form of procedural participation and enabling of all participants considering human factors for sustainable identification with an innovative product and thus for increasing acceptance.
The second main focus of the working group is the development and adaptation of cost-effective and target group-adapted technologies for the collection and evaluation of scientifically and economically usable data sets, which are a basic requirement for the development of innovative data-based products. In developing these technologies, particular attention is paid to the aspects of data quality, data quantity, data annotation and standardization.