MDC - Math, Data & Computing
MDC is one of my main expertise areas, besides US. For me it means bridging the emerging gap between new technologies and consequences for humans. Especially as my design focus moved towards data, AI and digital systems. I do not position myself as a software engineer, but as a designer with enough technical and data literacy to ask critical questions, work together with technical experts and translate possibilities into fitting human-computer interactions.
Through the course DED my perspective on data shifted. Before I mainly saw data as design validation, while in this course I learned how it can drive a design process. This was more directed towards AI in the course DwAAI, in which AI was used as a design material to explore how an LLM could mediate between people and their smart home. Both demonstrating MDC is strongly connected to US when using it in a human-centered design process.
In my Final Master Project these insights were used to understand the technology of an LLM-based AI tool, its boundaries and (ethical) risks. But also helped to see or question its technical possibilities. Looking from both a user and technology perspective, this came together in a design that communicates its technical limitations, reliability and verification to the user to support human autonomy.
Mapping databases for M2.2 FMP
Mapping source use by nurses, based on paths and amount of use.
Mapping carepathway with database use (metromap) for M2.1 project
