The Aerospace Controls Laboratory researches topics related to autonomous systems and control design for aircraft, spacecraft, and ground vehicles. Areas of theoretical research include decision-making under uncertainty, path planning, activity and task assignment, estimation and navigation, robust, adaptive, and model predictive control, and machine learning methods.
The MIT AgeLab was created in 1999 to invent new ideas and creatively translate technologies into practical solutions that improve people's health and enable them to “do things” throughout the lifespan. Equal to the need for ideas and new technologies is the belief that innovations in how products are designed, services are delivered, or policies are implemented are of critical importance to our quality of life tomorrow.
The Auto-ID Labs are the leading global research network of academic laboratories in the field of Internet of Things. The labs comprise seven of the world’s most renowned research universities located on four different continents. The labs believe that the next generation of the Internet of Things can revolutionize global commerce and provide previously unrealizable consumer benefits. The primary research partner is GS1 – a not-for-profit organization that is renowned for establishing standards for global commerce such as introducing barcodes to the retail industry almost 40 years ago.
Center for Energy and Environmental Policy Research
Since 1977, the Center for Energy and Environmental Policy Research (CEEPR) has been a focal point for research on energy and environmental policy at MIT. CEEPR promotes rigorous, objective research for improved decision making in government and the private sector, and secures the relevance of its work through close cooperation with industry partners from around the globe. Drawing on the unparalleled resources available at MIT, affiliated faculty and research staff as well as international research associates contribute to the empirical study of a wide range of policy issues related to energy supply, energy demand, and the environment.
Today, MIT is at the forefront of ocean science and engineering, with significant efforts in fluid mechanics and hydrodynamics, acoustics, offshore mechanics, marine robotics and sensors, and ocean sensing and forecasting. In addition, the Naval Construction program provides advanced graduate education on the design of naval ships and vehicles. The Center is a focal point for interdepartmental collaborations, interactions with other MIT schools, as well as outside the Institute.
Center for Real Estate, and Sustainable Urbanization Lab
The goal of the Sustainable Urbanization Lab (SUL) is to establish behavioral foundations for urban and environmental planning and policies aimed at sustainable urbanization in the most rapidly urbanizing regions of the world.
The SUL will be defined by three ‘blocks’: two of which are inter-related research themes: Environmental Sustainability and Place-based Policies and Self-Sustaining Urban Growth; the third block, an educational program the China Future City Program, will continue to serve as the teaching and research center of China’s urbanization on MIT campus.
For more than four decades, the MIT Center for Transportation & Logistics (MIT CTL) has been a world leader in supply chain management education and research. MIT CTL has made significant contributions to supply chain and logistics and has helped numerous companies gain competitive advantage from its cutting-edge research. Launched in 1973, the MIT Center for Transportation & Logistics (CTL) is a dynamic solutions-oriented environment where students, faculty, and industry leaders pool their knowledge and experience to advance supply chain education and research.
The City Form Lab at MIT focuses on urban design, planning and real-estate research. We develop new software tools for researching city form; use cutting-edge spatial analysis and statistics to investigate how urban form and land-use developments affect urban mobility and business location choices; and develop creative design and policy solutions for contemporary urban challenges. By bringing together multi-disciplinary urban research expertise and excellence in design, we develop context sensitive and timely insight about the role of urban form in affecting the quality of life in 21st century cities. CFL involves inter-disciplinary researchers and students interested in urban design, planning, transportation, spatial analysis and decision-making.
Founded in 1985, the MIT Media Lab is one of the world’s leading research and academic organizations. Unconstrained by traditional disciplines, Media Lab designers, engineers, artists, and scientists strive to create technologies and experiences that enable people to understand and transform their lives, communities, and environments. As part of the MIT Media Lab, the City Science research group proposes that new strategies must be found to create the places where people live and work in addition to the mobility systems that connect them, in order to meet the profound challenges of the future.
The Civic Data Design Lab works with data to understand it for public good. They seek to develop alternative practices which can make the work they do with data and images richer, smarter, more relevant, and more responsive to the needs and interests of citizens traditionally on the margins of policy development. In this practice they experiment with and develop data visualization and collection tools that allow us to highlight urban phenomena. Their methods borrow from the traditions of science and design by using spatial analytics to expose patterns and communicating those results, through design, to new audiences.
The CAVE lab provides students, researchers, and decision makers with a more intuitive understanding of and access to quantitative methods to support strategic design, tactical planning and operational decision problems in the supply chain and logistics domain and related fields. Based on a newly created physical lab space at MIT CTL equipped with state-of-the-art visualization technology, the lab is developing interactive visual interfaces to data and analytical tools, addressing complex supply chain and logistics problems.
The lab enables research advances in three major domains:
Development, improvement and application of traditional quantitative methods in supply chain, logistics, and transportation decision making (network design, distribution systems, inventory management, risk management, etc.) Adaptation and application of advanced data science methods (machine learning, network science, etc.) to large and diverse datasets to characterize, understand, predict, and improve the performance of complex supply networks, transportation and logistics systems Behavioral analysis of human decision making in supply chain management, transportation and logistics in light of interactive visualization being used as a tool to communicate, analyze, and manipulate context- and problem-related information
Computer Science and Artificial Intelligence Laboratory (CSAIL)
CSAIL is committed to pioneering new approaches to computing that will bring about positive changes in the way people around the globe live, play, and work. They focus on developing fundamental new technologies, conducting basic research that furthers the field of computing, and inspiring and educating future generations of scientists and technologists. With more than 60 research groups working on hundreds of diverse projects, researchers focus on discovering novel ways to make systems and machines smarter, easier to use, more secure, and more efficient.
With its novel "Living Labs" paradigm for research in the field, MIT Connection Science brings together interdisciplinary experts to develop, deploy, and test - in actual living environments - new technologies and strategies for safe, trusted, data sharing. MIT is well positioned to take a leadership role in demonstrating not only how organizations can leverage data in the future, but how we collect, manage, and use personal information, from setting appropriate privacy policies to demonstrating systems that can implement it in practice.
The Data Science Lab develops analytic techniques and tools for improving decision making in environments that involve uncertainty and require statistical learning. They achieve this vision by exploring theoretical foundations of operational problems and applying them in the development of algorithms that integrate machine learning and stochastic or deterministic optimization techniques. Their methods have been implemented by a large number of companies across a variety of industries such as Airlines, Insurance, Manufacturing and Retail.
The MIT Electric Aircraft Initiative draws together efforts across MIT aimed at long-term research on electric aircraft. Research spans fundamental propulsion technology development for small drones through to overall aircraft configuration assessment for all-electric commercial aircraft. The focus is on the very long term: technologies that could result in near-silent propulsion and low or no emissions. You can learn more about the overall research areas or read our publications.
The MIT Energy Initiative is MIT's hub for energy research, education, and outreach, connecting faculty, students, and staff to develop the knowledge, technologies, and solutions that will deliver clean, affordable, and plentiful sources of energy. Their mission is to develop low- and no-carbon solutions that will efficiently, affordably, and sustainably meet global energy needs while minimizing environmental impacts, dramatically reducing greenhouse gas emissions, and mitigating climate change.
MIT’s Energy at Scale Center seeks to address the massive scaling requirements necessary for low-carbon technologies to make a substantial contribution to future global energy needs, in collaboration with industry, government, and nonprofit members. We examine economic, technical, environmental, political, and public opinion barriers for deployment. We explore these risks using our Integrated Global System Modeling (IGSM) framework that combines the Economic Projection and Policy Analysis (EPPA) model, MIT Earth System Model (MESM), as well as a portfolio of impact assessment models that focus on life‑sustaining resources (e.g., managed water systems, crop production, ecosystem/forest services, wind/solar/hydropower, and air quality). These linked computer models allow us to analyze a wide range of development pathways in the global energy, agricultural, transportation, and other key sectors.
A part of the MIT Department of Aeronautics and Astronautics, the Engineering Systems Laboratory (ESL) studies the underlying principles and methods for designing complex socio-technical systems that involve a mix of architecture, technologies, organizations, policy issues and complex networked operations. Their focus is on aerospace and other systems critical to society such as product development, manufacturing and large scale infrastructures.
The Future Urban Mobility IRG's grand challenge is to develop innovative mobility solutions that simultaneously tackle two opposing objectives: To improve the safety, comfort and time associated with transportation, getting individuals and good where they need to be, and when they need to be there; and to reverse the alarming, unsustainable energy and environmental trends associated with transportation, and devise transportation systems that materially enhance sustainability and societal well-being.
The mission of IDSS is to advance education and research in state-of-the-art analytical methods in information and decision systems, statistics and data science, and the social sciences, and to apply these methods to address complex societal challenges in a diverse set of areas such as finance, energy systems, urbanization, social networks, and health.
The MIT Intelligent Transportation Systems (ITS) Lab was established in 1990 by Professor Moshe Ben-Akiva. Since its inception, the ITS Lab has conducted numerous studies of transportation systems and developed network modeling and simulation tools. The lab's areas of research include discrete choice and demand modeling techniques, activity-based models, freight transport modeling, and data collection methods for behavioral modeling. Today, lab members are located at MIT's Cambridge campus and its first research center outside of Cambridge: the Singapore-MIT Alliance for Research and Technology (SMART) Centre.
The mission of the MIT International Center for Air Transportation is to undertake research and educational programs which discover and disseminate the knowledge and tools underlying a global air transportation industry driven by new technologies. Airline management, airport security, air transportation economics, fleet scheduling, traffic flow management and airport facilities development represent areas of great interest to the MIT faculty and are of vital importance to international air transportation. ICAT is a physical and intellectual home for these activities. The ICAT, and its predecessors, the Aeronautical Systems Laboratory (ASL) and Flight Transportation Laboratory (FTL), have pioneered several concepts in air traffic management and flight deck automation and displays that are now in common use.
The JTL Urban Mobility Lab at MIT brings behavioral science and transportation technology together to shape travel behavior, design mobility systems, and improve transportation policies. They apply this framework to managing automobile ownership and usage, optimizing public transit planning and operation, promoting active modes of walking and cycling, governing autonomous vehicles and shared mobility services, and designing multimodal urban transportation systems.
Joint Program on the Science and Policy of Global Change
The MIT Joint Program combines scientific research with risk and policy analyses to project the impacts of, and evaluate possible responses to, the many interwoven challenges of global socioeconomic, technological and environmental change. The program also cultivates and educates the next generation of interdisciplinary researchers with the skills to tackle ongoing and emerging complex global challenges.
The Laboratory for Aviation and the Environment is a research lab in the MIT Department of Aeronautics & Astronautics. The team is interdisciplinary, covering expertise in Aeronautical, Mechanical and Chemical Engineering, Atmospheric Science and Economics.
Laboratory for Information and Decision Systems (LIDS)
The Laboratory for Information and Decision Systems (LIDS) at MIT is an interdepartmental research center committed to advancing research and education in the analytical information and decision sciences, specifically in systems and control, communications and networks, and inference and statistical data processing. Throughout its history, LIDS has been at the forefront of major methodological developments in a wide range of fields, including: telecommunications, information technology, the automotive industry, energy, defense, and human health. Building on past innovation and bolstered by a collaborative atmosphere, LIDS members continue to make breakthroughs that cut across traditional boundaries.
The Transportation mission area at Lincoln Lab develops technology to enhance transportation safety and efficiency, supporting government sponsors in several domains, including flight safety and collision avoidance, unmanned aircraft systems, advanced air mobility, air transportation simulation, air traffic control and air traffic management, environmental impact of air traffic, weather sensing for air traffic control, aviation cyber security, and military logistics.
The Marine Robotics Group, headed by Prof. John J. Leonard, is part of CSAIL at MIT. Our projects are centered around the problems of navigation and mapping for autonomous mobile robots operating in underwater and terrestrial environments.
The Megacity Logistics Lab brings together business, logistics, and urban planning perspectives to develop appropriate technologies, infrastructures, and policies for sustainable urban logistics operations. Their work aims to promote new urban delivery models, from unattended home delivery solutions to smart locker systems, to click & collect services, to drone delivery. They are pushing the limits of existing logistics network designs as future city logistics networks need to support omni-channel retail models, smaller store formats, increased intensity of deliveries, coordinate multiple transshipment points, engage a wider range of vehicle technologies - including electric and autonomous vehicles - and support complex inventory balancing and deployment strategies.
The Mobility Systems Center, an MIT Energy Initiative Low-Carbon Energy Center, brings together MIT's extensive expertise in mobility research to understand current and future trends in global passenger and freight mobility. Approaching mobility from a socio-technical perspective, we identify key challenges, understand potential trends, and analyze the societal and environmental impact of new mobility solutions. Through developing, maintaining, and applying a set of state-of-the-art scientific tools for the mobility sector, the Center aims to assess future mobility transformations from a technological, economic, environmental, and socio-political perspective. Executive Director: Randall Field
The mission of the Operations Research Center is to impact the world by educating students in the fields of Operations Research and Analytics who will become leaders in either academia or industry, generate new knowledge via research that will be used in educating future generations of students around the world and impact society via research by solving some of the world's most significant problems.
MIT Quest addresses two fundamental questions: How does human intelligence work, in engineering terms? And how can we use our understanding of human intelligence to build smarter machines for the benefit of society? As part of our mission, we are developing customized AI tools for non-AI researchers, which could accelerate progress in many fields. We see an opportunity to achieve a deeper understanding of intelligence through the kind of basic research that leads to unexpected breakthroughs. We aspire for our new knowledge and newly built tools to serve the public good, in our nation and around the world.
The Resilient Infrastructure Systems Lab seeks to improve the robustness and security of critical infrastructure systems by developing tools to detect and respond to incidents, both random and adversarial and by designing incentive mechanisms for efficient infrastructure management. They are working on the problems of cyber-physical security, failure diagnostics and incident response, network monitoring and control, and demand management in real-world infrastructures. They mainly focus on cyber-physical infrastructure systems for electric power, transportation, and urban water and natural gas networks.
The research goals of the Robust Robotics Group are to build unmanned vehicles that can fly without GPS through unmapped indoor environments, robots that can drive through unmapped cities, and to build social robots that can quickly learn what people want without being annoying or intrusive. Such robots must be able to perform effectively with uncertain and limited knowledge of the world, be easily deployed in new environments and immediately start autonomous operations with no prior information. They specifically focus on problems of planning and control in domains with uncertain models, using optimization, statistical estimation and machine learning to learn good plans and policies from experience.
The real-time city is real! As layers of networks and digital information blanket urban space, new approaches to the study of the built environment are emerging. The way we describe and understand cities is being radically transformed, as are the tools we use to design them. The mission of the Senseable City Laboratory, a research initiative at MIT, is to anticipate these changes and study them from a critical point of view.
The MIT Sociotechnical Systems Research Center (SSRC) is an interdisciplinary research center that focuses on the study of high-impact, complex, sociotechnical systems that shape our world. SSRC brings together faculty, researchers, students and staff from across MIT to study and seek solutions to complex societal challenges that span healthcare, energy, infrastructure networks, environment and international development. Their mission is to develop collaborative, holistic and systems-based approaches that combine knowledge and expertise from engineering and social sciences.
The MIT Transit Lab leverages the value of large-scale, long-term research collaborations across transit agencies. Starting in 1992 under the leadership of Professor Nigel Wilson, the Lab has collaborated with metropolitan transit agencies and departments of transportation worldwide, developing and implementing technology for transit operations and planning. Past and ongoing research sponsors include the Chicago Transit Authority (CTA), Massachusetts Bay Transportation Authority (MBTA), Transport for London (TfL), and Mass Transit Railway (MTR, Hong Kong). These long-term engagements, in addition to projects with other transit agencies and international research centers, provide graduate students unique opportunities for applied research.