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Responsible innovation through conscious contestation at the interface of agricultural science, policy and civil society

Responsible innovation through conscious contestation at the interface of agricultural science, policy and civil society

Pant, Laxmi Prasad (2019) Responsible innovation through conscious contestation at the interface of agricultural science, policy and civil society. Agriculture and Human Values, 36 (2). pp. 183-197. ISSN 0889-048X (Print), 1572-8366 (Online) (doi:https://doi.org/10.1007/s10460-019-09909-2)

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Abstract

This research examines a series of case studies from the agricultural sector to illustrate how various models of innovation embrace value proposition. A conscious value contestation at the interface of science, policy and civil society requires transformations in the triple-helix model of university-government-industry collaboration, because reiterations in the triple-helix model of innovation, such as quadruple, quintuple and higher helices, do not necessarily address civil society concerns for human values and science ethics. This research develops and tests a matrix model of university-government-industry-civil society collaboration, which involves the co-creation of inclusive and transformational spaces for value proposition. Findings suggest that the matrix model of innovation institutionalises citizen science as it serves as a moral heuristic to make seemingly apolitical science responsive to essentially contested societal values.

Item Type: Article
Uncontrolled Keywords: agriculture, innovation systems, civil society, human values, triple-helix innovation, citizen science
Subjects: H Social Sciences > H Social Sciences (General)
S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Livelihoods & Institutions Department
Last Modified: 15 Jan 2020 15:42
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/26556

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