Daniel Engelberg

Daniel L Engelberg is interested in how planners can help communities prepare for situations of deep uncertainty. Before joining DUSP, he gained experience in exploratory scenario planning at the National Center for Smart Growth at the University of Maryland and now his research has turned towards adaptive methods and computational tools for uncertainty. Additional research interests include socio-environmental synthesis, urban systems modeling, regional land use planning, and urban transportation systems.

Daniel possesses a Masters in Community Planning from the University of Maryland and a Bachelors of Arts in Mathematics from Bates College.