The grit in the oyster: using energy biographies to question socio-technical imaginaries of 'smartness'

The grit in the oyster: using energy biographies to question socio-technical imaginaries of 'smartness'
复制标题

牡蛎中的坚韧:利用能源传记质疑“智能”的社会技术想象

DOI:
10.1080/23299460.2016.1178897
复制
发表时间:
2016
影响因子:
3.9
通讯作者:
Groves C
Groves C
中科院分区:
管理学3区
文献类型:
--
作者:
Groves C

文献摘要

相似文献

有人认为,负责任的研究与创新(RRI)需要对与新技术相关的未来想象中涉及的“世界”进行批判。定性的社会科学研究可以通过探索技术在日常实践中的意义来帮助思考想象,正如Yolande streners对“聪明”的想象的研究所证明的那样。在本文中,我们展示了叙事访谈和多模式方法的新颖组合如何通过国内能源使用中社会技术变化的传记经验来帮助探索未来智慧的想象。特别是,这种方法可以通过探索个人以不同形式参与世界的投资,为社会技术想象开辟一个关键空间。这篇论文运用了一个社会心理概念框架,该框架借鉴了科学和技术研究的理论资源,来解释主体性的价值形式是如何被概念化的,因为它是从与世界接触的“摩擦”中产生的。利用这个框架,我们展示了能源传记项目中与技术接触的传记性叙述如何扩展到对未来想象的批判性思考。本文论证了与主观体验的情感维度相关的“厚”数据对RRI的价值。
It has been argued that responsible research and innovation (RRI) requires critique of the ‘worlds’ implicated in the future imaginaries associated with new technologies. Qualitative social science research can aid deliberation on imaginaries by exploring the meanings of technologies within everyday practices, as demonstrated by Yolande Strengers’ work on imaginaries of ‘smartness’. In this paper, we show how a novel combination of narrative interviews and multimodal methods can help explore future imaginaries of smartness through the lens of biographical experiences of socio-technical changes in domestic energy use. In particular, this approach can open up a critical space around socio-technical imaginaries by exploring the investments that individuals have in different forms of engagement with the world. The paper works with a psychosocial conceptual framework that draws on theoretical resources from science and technology studies to explain how valued forms of subjectivity may be conceptualised as emerging out of the ‘friction’ of engagement with the world. Using this framework, we show how biographical narratives of engagement with technologies from the Energy Biographies project can extend into critical deliberation on future imaginaries. The paper demonstrates the value of ‘thick’ data relating to the affective dimensions of subjective experience for RRI.