BITO CAMPUS sees itself as the initiator of an entire ecosystem. This ecosystem connects BITO Storage Systems, start-ups from all over the world and regional research institutions as well as medium-sized companies and aims to create a regional innovation scene. Get ready for the future by becoming part of this innovative network.
Funding Projects
In funded projects, BITO CAMPUS works together with science, business and civil society and focuses on regionally existing potential. With the motto "Together instead of silo", the aim is to create a regional innovation ecosystem characterized by application-oriented research, sustainable business models and an open innovation culture.
Arbeit SooNahe
The BITO CAMPUS is part of the project "Future-oriented work design in the Hunsrück and Naheland region" funded by the Federal Ministry of Education and Research (BMBF). – Arbeit SooNahe“.
This project aims to develop, test and share innovative and sustainable forms of work organisation. It focuses on organisational conditions that promote innovation, employee satisfaction and employer attractiveness. BITO CAMPUS is being funded with around 130,000 €. Together with the regional companies Schneider Bau, Hevert-Arzneimittel, Wagner Technik, Leisenheimer Malerwerkstätten and the Institute for Technology and Work (ITA), the following fields of action are addressed:
- Leadership
- Strategy
- Organizational design
- Cooperation
- Communication
- Human resources development
The companies benefit from close cooperation, occupational science support for the implementation measures by the ITA and a label to communicate a modern, certified work design. In order to involve all employees in the innovation process from the very beginning, we would be very pleased to receive ideas and support from you.
AI reference model for energy and resource efficiency and its industrial application
No-free lunch in the development and application of AI
Artificial intelligence (AI) methods and applications cause energy and resource consumption at all steps in the AI life cycle. At the same time, the abundance of available data offers significant opportunities to use AI to solve environmental and sustainability problems. It is all the more relevant that AI itself does not become a significant resource driver.
The aim of this project therefore is, to provide AI developers and users with a process model and recommendations for sustainable AI. Valid measurement methods and metrics are to be used to make the energy and resource consumption of AI applications transparent. All components with potential for increasing efficiency, such as sensors, communication infrastructure, computing unit, memory and AI model, will be considered.
The close cooperation between the practical user BITO CAMPUS, the sustainable AI hotbed Umwelt-Campus Birkenfeld and the Öko-Institut as an expert in ecological assessments ensures that the AI reference model takes all ecological aspects into account while remaining practically applicable.
