also developed a Robust-Hybrid-Automaton architecture for designing autonomous vehicles that combines planning and control. Dahleh has been the founding director of the MIT Institute for Data, Systems, and Society (IDSS) since July 1, 2015.( The mission of IDSS is to provide an interdisciplinary home for decision theory, machine learning, statistics, and data science in the context of broad societal challenges. IDSS is a unique, multi-school initiative spanning the five schools of MIT: School of Architecture and Planning, School of Engineering, School of Humanities, Arts, and Social Sciences, Sloan School of Management, and School of Science. MIT's Provost Martin Schmidt announced the newly formed institute as an effort to "create a new entity that focuses on complex socio-technical systems, information and decision systems, and statistics." Dahleh has served as the associate department head of Electrical Engineering & Computer Science (EECS) and acting director of the MIT Engineering Systems Division (ESD), which operated from 1998 to June 30, 2015. He is also a member of MIT's Laboratory for Information and Decision Systems (LIDS), where he was associate director of 2007-2009 and acting director in 2010. Research interests Networked Systems: Foundational theory for the interaction between physical, social and information networks, Information propagation, co-design of distributed decisions and incentives, learning network structure from data. Fragility and Systemic Risk: The development of a foundational theory for the early detection and control of systemic risk resulting from idiosyncratic disturbance affecting components of a networked system. Social Networks: Information cascades in stochastic networks, opinion dynamics, global games in modeling outcomes of crises, incentive mechanisms, interactions with physical systems. Economics of Data: Characterization of the value of data, creation of a data market place, generalizations to digital goods. The Future Electric Grid: Renewable generation, real-time demand response, impact of storage, market volatility, risk analysis, outages, Market Architecture. Transportation Systems: Dynamic models of congestion under disruptions, dependence of fragility on network topology, cascaded failures, value of side information on performance. Learning and control of unstructured systems: understanding the interplay between model reduction and learning low dimensional models, learning for control, learning behaviors with types using stochastic jump systems, learning low dimensional Hidden Markov Models. Industry Dahleh has served on multiple panels, boards and visiting committees. He is the chair of the visiting committee for Los Alamos National Laboratory, and currently serves on proposal review panels for the National Science Foundation. Dahleh is currently working with Booz Allen Hamilton,