The U.S. Department of Defense (DoD) has extended its contract with Carnegie Mellon University (CMU) to operate the Software Engineering Institute (SEI) for an additional term of five years with a value of up to $2.7 billion. The contract ensures that the institute, a federally funded research and development center (FFRDC), will continue to support national security by advancing and transitioning the science, technologies, and practices needed to make software a strategic advantage for the DoD.
HR Technology News: Return To Work Safely With The New Work | Space App, By Equal Experts
The SEI, which is sponsored by the Office of the Under Secretary of Defense for Research and Engineering (USD(R&E)), is the only FFRDC focusing specifically on software-related security and engineering. The contract was awarded in 2015 for a term of five years with an option for a five-year extension.
“Carnegie Mellon is pleased to continue to operate the federally funded research and development center dedicated to software and cybersecurity, providing the government with leading-edge software expertise to ensure our systems are dependable, resilient, and secure,” Carnegie Mellon University President Farnam Jahanian said. “CMU’s longstanding expertise in computer science, cybersecurity, engineering, and artificial intelligence are essential for national defense as well as for the nation’s critical infrastructure and our commercial enterprises.”
HR Technology News: AAAS And Wiley Collaborate To Drive The STEM Workforce Forward
As part of Carnegie Mellon University, one of the world’s leading academic institutions for research and education in computer science and engineering, the SEI is uniquely positioned to develop technologies and practices to solve difficult engineering and cybersecurity challenges in the nation’s critical infrastructure and in fields such as robotics and artificial intelligence.
HR Technology News: BriefCam Announces Video Analytics Innovation For Contact Tracing, Physical Distancing, Occupancy Management And Face Mask Detection