Our projects
If you are interested in collaborating on a project with our Degree Programmes, please do not hesitate to contact us. The following list entails our projects:
Information on our completed projects can be found here.
If you are interested in collaborating on a project with our Degree Programmes, please do not hesitate to contact us. The following list entails our projects:
Information on our completed projects can be found here.
The project “Safe and Intelligent Workspaces” pursues the innovative goal of developing generate models for the creation of a safe, efficient and advanced industrial working environment on the basis of artificial intelligence and digital assistance systems as well as empirical data of Styrian industrial companies.
The aim of the project is to build up R&D competencies in the core subject areas of service engineering and data science in order to enable the development and innovation of Smart Data Services (SDS). To this end, the models for service development (Service Engineering Procedure Model) and innovation development (Graz Innovation Model) developed at University of Applied Sciences CAMPUS 02 will be adapted to the new conditions and requirements of digitalization and thus also of Industry 4.0.
IMPROVE! pursues the goal of strengthening the innovative power in the ATHU region for digitalization, to strengthen engineering and entrepreneurship of young SMEs and start-ups in a targeted manner. The consistent cooperation with ATHU stakeholders (research, economy, policy) and excellent European mentors should contribute significantly to an improved international competitiveness (products, services).
As part of the DigiAgro project, funded by the Federal Ministry for Agriculture, Regions and Tourism, the region of Styria and the European Agricultural Fund for Rural Development, FH JOANNEUM, University of Applied Sciences and CAMPUS 02 University of Applied Sciences are conducting a series of interviews. The aim of these interviews is to assess the needs of Styrian fruit and viticulture with regard to digital technologies and competencies and to identify relevant stakeholders in the Styrian fruit and viticulture.
LEARN aims to develop a strategic approach for the transformation of organisations into learning workplaces. By designing and developing an ISO certification scheme, organisations can be certified as learning workplaces.
Business model (BM) innovations serve to introduce new logics to companies. They show companies how they can generate value for their customers and themselves. The more a BM innovation differs from the established business model, the greater the transformation effort and risk involved
The central objective of PIA is to develop the necessary fields of competence for digital agriculture. With the innovation method “Picture of the Future”, an outlook for the future is developed in a four-stage procedure.
FRIDAR – Frugal innovations through authentic and regional resources
Changing environments and a consequential loss of regional authenticity present tough challenges to many parts of Styria that used to be successful industrial or agricultural regions. To combat this loss, it is important to know which resources are already available in a region. It is more promising to use these tangible and intangible resources in an innovative way than to follow short-term trends that do not take into account regional characteristics.
The overall aim of the project is to strengthen young businesses (<5 years of age) in the Austrian and Hungarian border region through mentoring and coaching and to establish a cross-border economic community. This way, a long-term basis for cooperation in innovation and business can be established and active collaboration between Austrian and Hungarian young businesses and start-ups can be promoted.
The innovation model BIG PictureTM is a holistic, strategy-oriented and cyclical model. It makes the complex topic of innovation management with its strategy integration, the possible innovation classes from incremental to radical, the operational processes and decision steps virtually comprehensible at a glance.