ABSTRACT
The science of computation has systematically abstracted away the
physical world. The science of physical systems has systematically
ignored computational limitations. Embedded software systems, however,
engage the physical world in a computational manner. We believe that
it is time to construct a Modern Systems Science (MSS) that is
simultaneously computational and physical. Time, concurrency,
robustness, continuums, and resource management must be remarried to
computation.
At UC Berkeley (UCB), the Center for Hybrid and Embedded Software
Systems (CHESS) was founded with the explicit mission to build and
disseminate MSS. At Vanderbilt University (VU), the Institute for
Software Integrated Systems (ISIS) is the leading proponent of
model-integrated computing, a paradigm that is central to MSS. At the
University of Memphis (UM), the Mathematical Sciences Department
conducts groundbreaking research on phase transitions in computational
complexity, which has fundamental importance in dynamic, embedded
computing applications.
We propose a program that includes the long-term, high-risk,
high-reward, basic scientific research necessary to build the
foundations of MSS, and a sustained effort to create a new generation
of engineers that are comfortable with the juncture of computation and
physical phenomena. The research will be carried out by UCB-CHESS,
VU-ISIS, and UM. Educational outreach programs will include the
California community college system, which feeds many of the
engineering students to UCB and other State Universities, and HBCUs
and universities with high minority populations in the South. The
proposal to the NSF-ITR has the potential of high leverage from other
activities of the participating organizations paid for by other means,
such as university and state investment and industry funding.