2018: Digitalisation

Digitalisation is relevant to all areas of life and is a huge opportunity and challenge for science, the economy, society and each individual.

Digitalisation opens up new perspectives for research and, in turn, is enhanced by research into intelligent systems. It provides new dynamic opportunities for science: Research fields are redefined and traditional limitations along the various disciplines lose their validity. Interdisciplinary approaches and virtual research environments open up new horizons of understanding.

The objective of the funding is to accelerate the research into and development of intelligent systems on the one hand and, on the other hand, to promote the use and application of digitalisation in order to facilitate research breakthroughs.
Funding is therefore divided into two lines:

1. Researching intelligent systems

Intelligent systems are key technologies of the 21st century. Intelligent systems will fundamentally change many application areas, especially in the life sciences, natural sciences and engineering sciences. They provide scientific methods to facilitate machine learning and identify context.
  • In basic research, applications with the following focal points are eligible for funding:
  • Machine learning/deep learning
  • Autonomous robotics
  • Human/machine interaction
  • Interaction of artificial and natural intelligence
  • Algorithms and artificial intelligence
  • Perception and computer vision

2. Applying intelligent systems and digital methods

  • The following application fields are eligible for funding:
  • Life sciences and medical technology
  • Sensor technologies and assistance systems of all kinds
  • Augmented reality
  • Industry 4.0
  • Materials sciences
  • Evaluation of and use of big data
  • Data security/data accessibility/data sharing