Agricultural science in the wild: a social network analysis of farmer knowledge exchange.

Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent resea...

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Main Authors: Brennon A Wood, Hugh T Blair, David I Gray, Peter D Kemp, Paul R Kenyon, Steve T Morris, Alison M Sewell
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4133360?pdf=render
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spelling doaj-18fe353920a24fe480f20a3fb13c06022020-11-25T01:23:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0198e10520310.1371/journal.pone.0105203Agricultural science in the wild: a social network analysis of farmer knowledge exchange.Brennon A WoodHugh T BlairDavid I GrayPeter D KempPaul R KenyonSteve T MorrisAlison M SewellResponding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group's members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing agricultural innovation. The paper thus concludes by considering the findings' significance for current efforts to rethink agricultural extension.http://europepmc.org/articles/PMC4133360?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Brennon A Wood
Hugh T Blair
David I Gray
Peter D Kemp
Paul R Kenyon
Steve T Morris
Alison M Sewell
spellingShingle Brennon A Wood
Hugh T Blair
David I Gray
Peter D Kemp
Paul R Kenyon
Steve T Morris
Alison M Sewell
Agricultural science in the wild: a social network analysis of farmer knowledge exchange.
PLoS ONE
author_facet Brennon A Wood
Hugh T Blair
David I Gray
Peter D Kemp
Paul R Kenyon
Steve T Morris
Alison M Sewell
author_sort Brennon A Wood
title Agricultural science in the wild: a social network analysis of farmer knowledge exchange.
title_short Agricultural science in the wild: a social network analysis of farmer knowledge exchange.
title_full Agricultural science in the wild: a social network analysis of farmer knowledge exchange.
title_fullStr Agricultural science in the wild: a social network analysis of farmer knowledge exchange.
title_full_unstemmed Agricultural science in the wild: a social network analysis of farmer knowledge exchange.
title_sort agricultural science in the wild: a social network analysis of farmer knowledge exchange.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group's members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing agricultural innovation. The paper thus concludes by considering the findings' significance for current efforts to rethink agricultural extension.
url http://europepmc.org/articles/PMC4133360?pdf=render
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