数据科学应用对绿色经济的贡献

IF 1.5 4区 社会学 Q4 ENVIRONMENTAL SCIENCES Gaia-Ecological Perspectives for Science and Society Pub Date : 2023-03-13 DOI:10.14512/gaia.32.s1.6
Matthias Gotsch, Nicholas Martin, E. Eberling, S. Shirinzadeh, Dirk Osiek
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引用次数: 3

摘要

数据科学驱动的应用(如大数据和人工智能)可以支持向绿色经济的过渡。然而,这需要克服现有的障碍,并提供适当的框架条件。基于对295家德国和美国初创企业使用数据科学创造积极环境影响的分析,我们确定了更多地使用数据科学进行可持续转型的六个主要障碍,并提出了可用于制定政策建议的六项措施。本文考察了向绿色经济转变的希望与数据科学(各种形式的大数据分析和人工智能)之间的交叉点。它通过分析德国和美国初创企业开发或部署的与环境相关的数据科学应用程序来做到这一点。确定的大多数数据科学应用程序都寻求提高现有产品和流程的效率,或提供信息。支持对现有生产和消费模式进行更基本的转换的应用程序数量较少。为了增加数据科学与可持续性相关的影响,似乎有必要调整政策框架条件。根据我们的调查结果,就法律和监管框架条件的可持续性相关变化提出了行动建议。
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The contribution of data science applications to a green economy
Data science driven applications (e.g., big data and artificial intelligence) can support the transition to a green economy. However, this requires overcoming existing barriers and providing appropriate framework conditions. Based on an analysis of 295 German and US start-ups using data science to create positive environmental impacts, we identify six main obstacles to a greater use of data science for sustainable transformation, and propose six measures that can be used to formulate policy recommendations.This paper examines the intersections between the hoped-for shift toward a green economy and data science (various forms of big data analytics and artificial intelligence). It does so through an analysis of data science applications with environmental relevance developed or deployed by German and US start-ups. The majority of the data science applications identified seek to improve the efficiency of existing products and processes, or to provide information. Applications that support more fundamental transformations of existing production and consumption patterns are fewer in number. To increase the sustainability-related impact of data science, it seems necessary to adjust policy framework conditions. Based on our findings, recommendations for action are presented regarding sustainability-related changes of the legal and regulatory framework conditions.
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来源期刊
CiteScore
2.30
自引率
18.80%
发文量
43
审稿时长
>12 weeks
期刊介绍: GAIA is a peer-reviewed inter- and transdisciplinary journal for scientists and other interested parties concerned with the causes and analyses of environmental and sustainability problems and their solutions. Environmental problems cannot be solved by one academic discipline. The complex natures of these problems require cooperation across disciplinary boundaries. Since 1991, GAIA has offered a well-balanced and practice-oriented forum for transdisciplinary research. GAIA offers first-hand information on state of the art environmental research and on current solutions to environmental problems. Well-known editors, advisors, and authors work to ensure the high quality of the contributions found in GAIA and a unique transdisciplinary dialogue – in a comprehensible style.
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