Samuel Gabrielle, Lucivero Federica, Knowles Bran, Wright Katherine
Department of Global Health and Social Medicine, King's College London, Strand, London WC2B 4BG, UK.
Ethox Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford OX3 7LF, UK.
Sustainability. 2024 Feb 29;16(5):2017. doi: 10.3390/su16052017.
In this paper, we present findings from a qualitative interview study, which highlights the difficulties and challenges with quantifying carbon emissions and discusses how to move productively through these challenges by drawing insights from studies of deep uncertainty. Our research study focuses on the digital sector and was governed by the following research question: how do practitioners researching, working, or immersed in the broad area of sustainable digitisation (researchers, industry, NGOs, and policy representatives) understand and engage with quantifying carbon? Our findings show how stakeholders struggled to measure carbon emissions across complex systems, the lack of standardisation to assist with this, and how these challenges led stakeholders to call for more data to address this uncertainty. We argue that these calls for more data obscure the fact that there will always be uncertainty, and that we must learn to govern from within it.
在本文中，我们展示了一项定性访谈研究的结果，该研究突出了量化碳排放的困难与挑战，并探讨了如何通过借鉴深度不确定性研究的见解来有效应对这些挑战。我们的研究聚焦于数字领域，受以下研究问题的指引：从事可持续数字化广泛领域研究、工作或深入其中的从业者（研究人员、行业人士、非政府组织和政策代表）如何理解并参与碳排放量化？我们的研究结果表明，利益相关者在跨复杂系统测量碳排放时面临困难，缺乏有助于此的标准化，以及这些挑战如何促使利益相关者呼吁获取更多数据以应对这种不确定性。我们认为，这些对更多数据的呼吁掩盖了一个事实，即不确定性将永远存在，而且我们必须学会在其中进行管理。
