“If they don’t tell us what they do with it, why would we trust them?” Trust, transparency and benefit-sharing in Smart Farming

Q1 Agricultural and Biological Sciences
Emma Jakku , Bruce Taylor , Aysha Fleming , Claire Mason , Simon Fielke , Chris Sounness , Peter Thorburn
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引用次数: 159

Abstract

Advances in Smart Farming and Big Data applications have the potential to help agricultural industries meet productivity and sustainability challenges. However, these benefits are unlikely to be realised if the social implications of these technological innovations are not adequately considered by those who promote them. Big Data applications are intrinsically socio-technical; their development and deployment are a product of social interactions between people, institutional and regulatory settings, as well as the technology itself. This paper explores the socio-technical factors and conditions that influence the development of Smart Farming and Big Data applications, using a multi-level perspective on transitions combined with social practice theory. We conducted semi-structured interviews with 26 Australian grain farmers and industry stakeholders to elicit their perspectives on benefits and risks of these changes. The analysis shows that issues related to trust are central concerns for many participants. These include procedural concerns about transparency and distributional concerns about who will benefit from access to and use of “farmers’ data”. These concerns create scepticism about the value of ‘smart’ technologies amongst some industry stakeholders, especially farmers. It also points to a divergence of expectations and norms between actors and institutions at the regime and niche levels in the emerging transition towards Smart Farming. Bridging this divide will require niche level interventions to enhance the agency of farmers and their local networks in these transactions, and, the cooperative design of new institutions at regime level to facilitate the fair and transparent allocation of risk and benefit in farming data information chains.

“如果他们不告诉我们他们用这些钱做什么,我们为什么要相信他们?”智慧农业中的信任、透明度和利益分享
智能农业和大数据应用的进步有可能帮助农业产业应对生产力和可持续性挑战。然而,如果这些技术革新的推动者没有充分考虑到它们的社会影响,这些好处就不太可能实现。大数据应用本质上是社会技术;它们的发展和部署是人与人、机构和监管环境以及技术本身之间社会互动的产物。本文结合社会实践理论,运用多层次转型视角,探讨影响智慧农业和大数据应用发展的社会技术因素和条件。我们对26位澳大利亚粮食农民和行业利益相关者进行了半结构化访谈,以了解他们对这些变化的利益和风险的看法。分析表明,与信任相关的问题是许多参与者最关心的问题。这些问题包括关于透明度的程序问题,以及关于谁将从“农民数据”的获取和使用中受益的分配问题。这些担忧让一些行业利益相关者,尤其是农民,对“智能”技术的价值产生了怀疑。报告还指出,在向智能农业转型的过程中,在体制和利基层面的行动者和机构之间存在期望和规范的分歧。弥合这一鸿沟将需要利基层面的干预措施,以加强农民及其当地网络在这些交易中的代理作用,并需要在制度层面合作设计新制度,以促进农业数据信息链中风险和利益的公平透明分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Njas-Wageningen Journal of Life Sciences
Njas-Wageningen Journal of Life Sciences 农林科学-农业综合
自引率
0.00%
发文量
0
审稿时长
>36 weeks
期刊介绍: The NJAS - Wageningen Journal of Life Sciences, published since 1952, is the quarterly journal of the Royal Netherlands Society for Agricultural Sciences. NJAS aspires to be the main scientific platform for interdisciplinary and transdisciplinary research on complex and persistent problems in agricultural production, food and nutrition security and natural resource management. The societal and technical challenges in these domains require research integrating scientific disciplines and finding novel combinations of methodologies and conceptual frameworks. Moreover, the composite nature of these problems and challenges fits transdisciplinary research approaches embedded in constructive interactions with policy and practice and crossing the boundaries between science and society. Engaging with societal debate and creating decision space is an important task of research about the diverse impacts of novel agri-food technologies or policies. The international nature of food and nutrition security (e.g. global value chains, standardisation, trade), environmental problems (e.g. climate change or competing claims on natural resources), and risks related to agriculture (e.g. the spread of plant and animal diseases) challenges researchers to focus not only on lower levels of aggregation, but certainly to use interdisciplinary research to unravel linkages between scales or to analyse dynamics at higher levels of aggregation. NJAS recognises that the widely acknowledged need for interdisciplinary and transdisciplinary research, also increasingly expressed by policy makers and practitioners, needs a platform for creative researchers and out-of-the-box thinking in the domains of agriculture, food and environment. The journal aims to offer space for grounded, critical, and open discussions that advance the development and application of interdisciplinary and transdisciplinary research methodologies in the agricultural and life sciences.
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