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resilience design practices. See https://www.nist.gov/programs-projects/design-methods-resilient-community-systems Research areas include but are not limited to: Quantitative approaches to identify
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-consensus standards and guides related to the design, construction, and operation of high-performance buildings that maintain good indoor air quality and use low levels of energy. Specifically, the goals
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economic valuation. Development of infrastructure system metrics to aid in the prioritization of investments. See https://www.nist.gov/services-resources/software/nist-arc-nist-alternatives-resilient
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, Toronto, ON . Pertzborn, A. J., Veronica, D.A. (2021) NIST Technical Note 2178: Baseline Control Systems in the Intelligent Building Agents Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178
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foundation of measurement assurance to support the control and rational design of biological function. Through state of the art synthetic biology, automation, and machine learning, the Group creates
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solutions can be sought through the design of efficient and accurate numerical solutions. Analytic solutions to similar problems or numerical approximations can be used to validate mathematical models
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to capture dynamically evolving environments. Research opportunities focus on various aspects of the instrumentation design, development, testing, and measurement applications. A particular focus is on
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rebuilding their shared language as well as updating their own model. Current logical frameworks are not flexible enough to manage the constant schema design changes that arise in healthcare and
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of topics related to the continued development of RF MEMS/NEMS resonators. Several resonator geometries are being developed that combine low-loss mechanical design, unique materials, and
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existing measurements. Recent work has focused on (i) design and operation of microfluidic devices for cytometry and flow metrology, and (ii) optimization and interpretation of diagnostic tests for