Daniel L Engelberg is a PhD Student at the MIT Department of Urban Studies and Planning (DUSP) interested in how planners can help communities prepare for situations of deep uncertainty. This research examines every stage of the policy making process from analysis through planning and legislation. In particular, he seeks to understand how uncertainty differently affects various communities in order to move towards more equitable long-range planning. 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.
