Post History

Preliminary, non-operational, but used operationally? Huh?

The ‘O’ in R2O is sometimes confounding. Whereas the realm of research is an expansive net for innovation, the concept of operations is more of a broadening spectrum. What constitutes
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Preliminary, non-operational, but used operationally? Huh?

Peer review and R2O

One area of increasing confusion is the difference between the scientific peer review and research to operations processes, and their relative value for a new research byproduct. To some extent,
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Peer review and R2O

Knowledge, skills, and mental representations

It can be confounding that there are not necessarily similar specific attributes of research byproducts that achieve a successful R2O transition and become routinely useful in an operational environment. While
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Knowledge, skills, and mental representations

Keeping new datasets in step with modern organizations using R2O

Underlying transitions from research to operations are typically some critical sources of raw data or observations that can further an operational objective or priority when provided to practitioners and applied
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Keeping new datasets in step with modern organizations using R2O

Listen to the community and refine R2O

Research to operations requires an astute and routine identification and evaluation of the stakeholders. The most efficient way to do this is holding conferences, in person, that pull unique participants
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Listen to the community and refine R2O

Beginning, evolving, and concluding R2O projects

An enterprise or organization could become throttled by its own success when research is routinely transitioning to operations, new ideas are arising from both research and operational workforce segments, and
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Beginning, evolving, and concluding R2O projects

Operations-driven R2O with science-integrated training

The ideas that initiate a research to operations transition cycle need not always originate as part of the research process. Some suitable concepts for research development can and, with the
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Operations-driven R2O with science-integrated training

Science first, service always

In the weather enterprise, there are numerous service organizations. The services that these organizations provide vary, but generally involve analyzing, interpreting, and, in many cases, forecasting meteorological and environmental parameters.
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Science first, service always

Data sparse or information poor?

DRIP (data rich, information poor) has been used for decades to describe the ineffective or absent use of data that an organization or enterprise collects daily to inform important decisions
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Data sparse or information poor?

Assessing the importance of data

As new data sources and the amount of unique data collected continues to expand, subjected only to technical limitations, scientific enterprises, with the weather enterprise no exception, are prone to
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Assessing the importance of data
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