Engineering digitalization requires that at least the following challenges are tackled, forming the pillars of our research:
1. Considering that digitalization is ultimately used to drive many of the decisions we make as members of the digital society, we need to ensure that our engineering efforts lead to well-informed decision-making, measured by generally accepted societal values. This has deep technical implications as well as novel capacity-development challenges.
2. We need to pay increasingly more attention to integrating digital solutions in specific environments. For example, for social environments, the results of digitalization should be perceived as being a natural part of our environment and society. Analogously, this holds also when blending digitalization into an industrial environment, or when integrating digitalization into our natural environments.
3. We need to develop digital technologies, in particular technologies that one can effortlessly use and justifiably rely upon. Digitalization should thus lead to safe, trusted and resilient systems. An important aspect of our engineering approach is that we continuously measure our environments (which includes humans, animals, etc.) in order to effectively digitalize, or to understand the effects of digitalization. Sensing, data analysis, and actuation form essential elements of our approach.