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Shaping national science policy: some lessons learned.

J F Sherman1

  • 1Association of American Medical Colleges, Washington, DC 20036.

Academic Medicine : Journal of the Association of American Medical Colleges
|February 1, 1991
PubMed
Summary

Effective science policy requires a strong health-science partnership, prioritizing research merit, robust data, and clear principles for a thriving biomedical research program. This ensures continued U.S. leadership in medical innovation.

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Area of Science:

  • Biomedical research policy
  • Health policy
  • Science funding allocation

Background:

  • Thirty-five years of experience in science policy development.
  • Established premises for effective science policy formulation.
  • The critical importance of the health and science partnership in U.S. society.

Purpose of the Study:

  • To outline key lessons learned in shaping science policy.
  • To present four fundamental premises for consideration in science policy.
  • To emphasize the need for clear principles to foster a national biomedical research program.

Main Methods:

  • Analysis of 35 years of experience in science policy.
  • Derivation of four core premises from practical experience.
  • Reference to the 1983 AAMC monograph "Preserving America's Preeminence in Medical Research" for guiding principles.

Main Results:

  • Four premises for science policy: (1) Health-science partnership is crucial. (2) Scientific merit must guide research funding. (3) Data and analysis are vital for decision-making. (4) Clear principles are essential for program success.
  • The fourth premise is detailed in 11 principles from a 1983 AAMC publication.
  • Societal components share responsibility for the U.S. research program's success.

Conclusions:

  • A robust national biomedical research program requires a clear, consistently communicated set of principles.
  • Public prioritization of health, expanding scientific knowledge, and significant investment favor effective science policy.
  • Continued emphasis on scientific merit and data-driven decisions is vital for advancing health and maintaining research preeminence.

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