Safety through Machine Learning Applications: A Safety Case Analysis

Machine learning applications are increasingly being implemented in socio-technical safety-critical systems, but the safety of these applications is not well understood. This thesis used a mixed-method design and applied four methods to explore the field of machine learning and safety. With the results of these four methods, a framework was...

Rehearsing the future: Soft-launching early-stage consumer hardware to mitigate uncertainty in the NPD process.

A company’s ability to innovate is widely recognized as the core driver of growth, performance and valuation. However, innovation is an expensive and risky endeavor and current method and management tools have been widely criticized. The software industry has radically changed over the last decade. Approaches, such as soft- launching early-stage...

Improving risk communication to Dutch municipal councils concerning land development projects