I am interested in how we make sense of complexity — and how that understanding informs action.
That inquiry has taken different forms: consciousness and perception research, systems thinking, learning design and technology. Years of interviews and presentations have offered another way of pursuing the same question: how to approach subjects that resist simple explanations.
I am particularly drawn to the way models shape experience. Models allow us to understand systems, but they also determine what we notice, what we exclude, and which possibilities we consider plausible. Changing the frame changes the solutions we are able to conceive. My current work turns that interest into designed experiences rather than explanations alone.
FlowState is one example: a systems-learning simulation in which constraints, interdependence, uncertainty and consequences become visible through decisions over time.
My media work approaches complexity from another direction — through inquiry, conversation and the deliberate examination of assumptions. The objective is to make complexity legible so we can make informed decisions.
