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Cited by 315

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“In Order to Aid in Diffusing Useful and Practical Information”: Agricultural Extension and Boundary Organizations

Cash, David W.·2001·Science, Technology, & Human Values

Abstract

Agricultural decision making is characterized by two challenges common to multiple arenas: linking science to decision making and linking science and decision making across multiple levels. The U.S. agricultural research, education, and extension system was designed to address these challenges. By investigating this system, this study deepens the understanding of science and decision making, specifically exploring the notion of boundary organizations in two significant ways. First, it provides a preliminary test of the hypothesis that boundary organizations mediate between the shifting domains of science and policy, finding that they are instrumental in creating and maintaining an integrated system of assessment and decision making for addressing depletion of the High Plains Aquifer. Second, it extends the concept of boundary organization beyond the science-policy dimension to incorporate the dimension of levels of organization—not only bridging science and policy but linking science and policy across different levels (e.g., the local, state, and national levels).

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Metadata

Authors
Cash, D. W.
Venue
Science, Technology, & Human Values
Published
2001-10
Volume
26
Issue
4
Pages
431-453
ISSN
  • 0162-2439 (ISSN-L)
  • 1552-8251
OpenAlex
W2126706267
Cited by
315
References
0
FWCI
10.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: “In Order to Aid in Diffusing Useful and Practical Information”: Agricultural Extension and Boundary Organizations. https://app.cochat.ai/papers/10.1177/016224390102600403
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Cash, D. W. (2001). “In Order to Aid in Diffusing Useful and Practical Information”: Agricultural Extension and Boundary Organizations. Science, Technology, & Human Values. https://doi.org/10.1177/016224390102600403

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.