The aim of the joint project is to develop a holistic digital AI method to support knowledge and technology transfer for non-university research institutions and its prototypical application and evaluation at DFKI and Fraunhofer ISST. The transformation potential of digitalization and AI in particular will be used for knowledge and technology transfer.
New ways for cross-border data exchange: The Data Space Research Lab is a cooperation between Huawei Technologies and Fraunhofer ISST initiated in 2023. The aim is to master the digital challenges of our time and support companies worldwide through technical innovations in the data economy.
The FAIR Data Spaces project aims to build a common cloud-based data space for business and science by merging the two initiatives "Gaia-X" and "National Research Data Infrastructure (NFDI)". "FAIR" stands for the guiding prin-ciples for the responsible management of research data. According to these principles, research data should be findable, accessible, interoperable and reusable. The project aims to identify and exploit synergies between the two initiatives Gaia-X and NFDI and to bring the two initiatives closer together in terms of content. The project also aims to promote and demonstrate the sovereign exchange of data between industry and science at both national and European level in concrete applications and fields of work. For a wide range of actors, especially from the economy, added values can be created and demonstrated through the exchange of data.
The aim of the project "Incentives and Economics of Data Sharing" (IEDS) is to investigate the design of incentive systems for data sharing in an entrepreneurial context through interdisciplinary collaborative research. To this end, the topic of data sharing will be analyzed from technical and economic perspectives. Specifically, insights will be gained and mechanisms developed on how to incentivize organizations to participate in open and collaborative data networks.
The Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT re-searches cognitive technologies for the industrial Internet. Researchers in various disciplines are developing key technologies along the value chain, from sensors to intelligent learning methods in data processing to the cloud. CCIT helps companies with the forward-looking design of their business by opening up market access with cognitive solution services and products.
NTT is a Japanese telecommunications company that deals with global, cross-company data exchange, among other things. A decisive factor here is data sovereignty in order to ensure that the shared data is not misused or passed on without authorization. As this is also a central topic of the International Data Spaces (IDS), the international data exchange at NTT is to be implemented as an example with the help of the IDS as part of the project. The resulting infrastructure will then continue to operate for two months.
Fraunhofer Institute for Software and Systems Engineering
