Strategic stand-alone projects

Stand-alone projects are intended to promote new and outstanding technologies and solutions that are expected to have long-term and strategic effects in the ICT sector. These diverse projects have a future-oriented focus and are of particular importance for Germany as a business location.


Research in the 5GMedCamp project aims to improve follow-up care for patients with a permanent ventricular assist device (LVAD) through telemedicine using local 5G campus networks and artificial intelligence.


The European Commission's General Data Protection Regulation has been in force since May 2018. Based on this, the joint project AUDITOR will develop, implement and test an EU-wide data protection certification of cloud services. The AUDITOR certification procedure was submitted to the German Accreditation Body at the beginning of 2020 to test its accreditability.

BIG - The Next Big Thing in Embodied Intelligence

Against the background of the digital change, a study will draw up technological, economic and political recommendations for action to secure and expand Germany as a production location by interlinking market analyses, scientific work and perspectives from leading international experts from business, science and politics.


CLINIC 5.1 will use AI methods to take the next step towards personalized medicine and establish methods for clinical decision support. For this purpose, the medical data of prostate cancer patients will be compiled into a four-dimensional digital twin.

DEMAND – Data Economics and Management of Data-Driven Business

Companies face several challenges in the development of data-driven business processes for which there are currently no practice-oriented solutions. The DEMAND project therefore develops concrete solutions for practice-oriented architectures, process models and tools.

GEMIMEG - GEMIni | MEtrology | Global

In the joint project, a national quality infrastructure is to be established, in which the quality of acquired data - among other things from sensors and actuators - and the reliability of the conclusions derived from it are guaranteed. To this end, the project partners are developing a secure end-to-end availability of information for the implementation of reliable, networked measurement systems and are creating usable standards.


A self-learning system is to be developed for age-appropriate living that can predict the individual probability of occurrence of dangerous situations with the help of AI. Residents or people in need of care and their relatives are to be warned at an early stage so that there are fewer emergency interventions and hospital stays and the quality of life of those affected is improved.

OIHplus - Open Integration Hub plus

The goal of OIHplus is to develop an open digitisation platform. This platform is intended to support smaller companies in particular in meeting the typical challenges associated with increasing digitization.


QualiLack aims to automate manual painting processes for natural materials like wood. Machine learning algorithms are to analyze surface properties in real time and thus enable uniform painting by a robot arm.


The QuantumLeap project uses the example of the financial sector to investigate the migration of classic cryptographic procedures to new procedures that are resistant to quantum computers.

SENSIBLE-KI: “Secure and trustworthy mobile AI"

The project SENSIBLE-KI explores solutions to make artificial intelligence (AI) systems in mobile applications and embedded systems secure and trustworthy.
Partners from industry, applied research and scientific research are working in the project, to ensure the integrity and authenticity of AI systems. For example, methods are being developed that ensure the confidentiality of the systems themselves, while at the same time protecting the privacy of the data and enabling secure transmission to mobile devices.


The UCARe4Citizen project investigates and develops the technical framework for representing the climate impacts of urban planning measures.