The Community Innovators Lab (CoLab) is a center for planning and development within the MIT Department of Urban Studies and Planning (DUSP). CoLab facilitates the interchange of knowledge and resources between MIT and community organizations. CoLab works with MIT students, faculty, and technical resources to build collaborations with communities. Together we implement strategies that harness existing community assets and capture value to promote inclusive economic development that is environmentally sustainable, socially just, and deeply democratic. CoLab brings multi-disciplinary expertise from urban planning, municipal government, business, community media, civil rights advocacy, and community and labor organizing.
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.
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.
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
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 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.
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 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.
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 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 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.
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.
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 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 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.
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.
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 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.
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 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.