University of Cambridge, Cambridge, UK.
Soc Stud Sci. 2024 Aug;54(4):575-597. doi: 10.1177/03063127241236809. Epub 2024 Mar 21.
Biodiversity is a multidimensional concept that can be understood and measured in many different ways. However, the next generation of digital technologies for biodiversity monitoring currently being funded and developed fail to engage its multidimensional and relational aspects. Based on empirical data from interviews, a conference visit, online meetings, webinars, and project reports, this study articulates four digital logics that structure how biodiversity becomes monitored and understood within recent technological developments. The four digital logics illustrate how intensified practices of capturing, connecting, simulating, and computing produce particular techno-scientific formats for creating biodiversity knowledge. While ongoing projects advance technological development in areas of automation, prediction, and the creation of large-scale species databases, their developmental processes structurally limit the future of biodiversity technology. To better address the complex challenges of the global biodiversity crisis, it is crucial to develop digital technologies and practices that can engage with a wider range of perspectives and understandings of relational and multidimensional approaches to biodiversity.
生物多样性是一个多维概念,可以通过多种不同的方式来理解和衡量。然而,目前正在资助和开发的下一代用于生物多样性监测的数字技术未能涉及到其多维和关系方面。本研究基于访谈、会议访问、在线会议、网络研讨会和项目报告的实证数据,阐述了四种数字逻辑,这些逻辑结构说明了生物多样性在最近的技术发展中是如何被监测和理解的。这四种数字逻辑说明了如何加强捕获、连接、模拟和计算的实践,为创建生物多样性知识产生了特定的技术科学格式。虽然正在进行的项目在自动化、预测和创建大型物种数据库等领域推进了技术发展,但它们的发展过程在结构上限制了生物多样性技术的未来。为了更好地应对全球生物多样性危机的复杂挑战,开发能够涉及更广泛的观点和理解的数字技术和实践,以及关系和多维方法对生物多样性的理解,这是至关重要的。