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Ford-MIT Alliance

Research and Teaching Output of the MIT Community

Ford-MIT Alliance


The Ford Motor Company has engaged MIT in addressing an array of 21st century industry challenges. The multi-million dollar alliance, begun in 1997, focuses on three research areas: product development process technology, virtual education, and the environment.

Alliance priorities include the study of engineering design and educational environments of the future as well as seed funding for a major MIT-directed consortium to address global environmental challenges. A main objective of the alliance is the development of strategic mechanisms for an effective, long-term industry/university partnership.

The Ford-MIT Alliance is a program of the Center for Technology, Policy and Industrial Development.

Recent Submissions

  • Cappiello, Alessandra (2002-09-17)
    The main topic of this thesis is the development of light-duty vehicle dynamic emission models and their integration with dynamic traffic models. Combined, these models constitute fundamental components to support ...
  • West, Patricia M.; Ariely, Dan; Bellman, Steve; Bradlow, Eric; Huber, Joel; Johnson, Eric; Kahn, Barbara; Little, John; Schkade, David (1999)
    The advent of electronic environments is bound to have profound effects on consumer decision making. While the exact nature of these influences is only partially known it is clear that consumers could benefit from ...
  • Cappiello, Alessandra; Chabini, Ismail; Nam, Edward K.; Lue, Alessandro; Zeid, Maya Abou (2002-09-17)
    A number of vehicle emission models are overly simple, such as static speed-dependent models widely used in practice, and other models are sophisticated as to require excessive inputs and calculations, which can slow down ...
  • Cappiello, Alessandra; Chabini, Ismail; Lue, Alessandro; Zeid, Maya Abou; Nam, Edward K. (2002-09-17)
    Many vehicle emission models are overly simple, such as the speed dependent models used widely, and other models are sufficiently complicated as to require excessive inputs and calculations, which can slow down computational ...