J. Lieu, Amanda Marti´nez-Reyes, Phillippa Groome, D. Mangalagiu, BinBin J. Pearce, Baiba Witajewska-Baltvilka, Regine-Ellen D. Møller
We develop and apply the concept of equitable knowledge co-production (EKC) by proposing a reflexive framework to support inclusive stakeholder engagement with diverse knowledge-holders. This framework is built on the authors’ experiences of leading three ongoing Horizon 2020 projects, and its goal is to contribute to the realisation of epistemic and recognition justice in the context of large-scale research and innovation projects by raising awareness of how knowledge co-production is carried out during the project proposal and implementation phases.
{"title":"Inclusive stakeholder engagement for equitable knowledge co-production: Insights from the EU’s Horizon 2020 programme in climate change research","authors":"J. Lieu, Amanda Marti´nez-Reyes, Phillippa Groome, D. Mangalagiu, BinBin J. Pearce, Baiba Witajewska-Baltvilka, Regine-Ellen D. Møller","doi":"10.14512/gaia.32.1.11","DOIUrl":"https://doi.org/10.14512/gaia.32.1.11","url":null,"abstract":"We develop and apply the concept of equitable knowledge co-production (EKC) by proposing a reflexive framework to support inclusive stakeholder engagement with diverse knowledge-holders. This framework is built on the authors’ experiences of leading three ongoing Horizon 2020\u0000 projects, and its goal is to contribute to the realisation of epistemic and recognition justice in the context of large-scale research and innovation projects by raising awareness of how knowledge co-production is carried out during the project proposal and implementation phases.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45802384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Claus, R. Davel, C. Heykoop, Daniela Pinto, B. Belcher
A Theory of Change (ToC) is a set of testable hypotheses that model how an intervention will contribute to a change process. ToC development and use can help in the design of transdisciplinary research to build trust and accountability in the research process. We present an online process for ToC facilitation and offer guidance to collaboratively build a ToC for transdisciplinary research.Transdisciplinary research (TDR) aims to solve problems in complex systems by drawing from a range of methods and expertise to contribute to change processes. Theories of Change (ToCs) are well-suited to support TDR design and implementation, but they rarely achieve their full potential. In practice, ToCs are often compromised by insufficient engagement with the context, weak theoretical bases, poor articulation, and a lack of iteration. This paper presents a process for ToC design based on the authors’ experience facilitating ToC development for research planning and evaluation. We illustrate the process using an in-progress TDR example on patient-oriented cancer care research. The approach begins by framing the social and research problems and then identifies activities and outputs, key actors, outcomes, and underlying causal assumptions. Skilled facilitation and strong conceptual familiarity are key to effectively mobilize ToC concepts into a cohesive and testable model to refine a strategy with TDR stakeholders. Key considerations and resources are offered to enhance ToC development planning and facilitation.
{"title":"How to build Theories of Change for transdisciplinary research: Guidance and considerations","authors":"R. Claus, R. Davel, C. Heykoop, Daniela Pinto, B. Belcher","doi":"10.14512/gaia.32.1.18","DOIUrl":"https://doi.org/10.14512/gaia.32.1.18","url":null,"abstract":"A Theory of Change (ToC) is a set of testable hypotheses that model how an intervention will contribute to a change process. ToC development and use can help in the design of transdisciplinary research to build trust and accountability in the research process. We present an online process\u0000 for ToC facilitation and offer guidance to collaboratively build a ToC for transdisciplinary research.Transdisciplinary research (TDR) aims to solve problems in complex systems by drawing from a range of methods and expertise to contribute to change processes. Theories of Change (ToCs)\u0000 are well-suited to support TDR design and implementation, but they rarely achieve their full potential. In practice, ToCs are often compromised by insufficient engagement with the context, weak theoretical bases, poor articulation, and a lack of iteration. This paper presents a process for\u0000 ToC design based on the authors’ experience facilitating ToC development for research planning and evaluation. We illustrate the process using an in-progress TDR example on patient-oriented cancer care research. The approach begins by framing the social and research problems and then\u0000 identifies activities and outputs, key actors, outcomes, and underlying causal assumptions. Skilled facilitation and strong conceptual familiarity are key to effectively mobilize ToC concepts into a cohesive and testable model to refine a strategy with TDR stakeholders. Key considerations\u0000 and resources are offered to enhance ToC development planning and facilitation.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42416565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Smart city strategies highlight the potential to generate new type of data through new technology, for example crowdsourced data. Based on an empirical study, we show the potentials and limits of using new data for monitoring urban sustainability and especially the Sustainable Development Goals.The latest debate on smart cities and sustainability is underpinned by the United Nations’ 2030 Agenda and their accompanying Sustainable Development Goals (SDGs), which place urban data and monitoring systems at the forefront. Therefore, there is a strong need to assess the data-driven capabilities that will help achieve the SDGs. To fill the capability gaps between existing tools and SDG indicators, new smart city data sources are now available. However, scant indicators and assessment criteria have been empirically validated. This paper identifies some of the challenges alongside the potential of using new local data in urban monitoring systems. A case study of an SDG monitoring platform implementation in a district of Berlin is examined, and the results show that the use of locale-specific, and unofficial data not only improves data availability, but it also encourages local public participation. Based on our empirical findings, we determine that the incorporation of new data for urban sustainability monitoring should be treated as a complex social process.
{"title":"Monitoring the Sustainable Development Goals in cities: Potentials and pitfalls of using smart city data","authors":"F. Koch, Sarah Beyer, Chih-Yu Chen","doi":"10.14512/gaia.32.s1.8","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.8","url":null,"abstract":"Smart city strategies highlight the potential to generate new type of data through new technology, for example crowdsourced data. Based on an empirical study, we show the potentials and limits of using new data for monitoring urban sustainability and especially the Sustainable Development\u0000 Goals.The latest debate on smart cities and sustainability is underpinned by the United Nations’ 2030 Agenda and their accompanying Sustainable Development Goals (SDGs), which place urban data and monitoring systems at the forefront. Therefore, there is a strong\u0000 need to assess the data-driven capabilities that will help achieve the SDGs. To fill the capability gaps between existing tools and SDG indicators, new smart city data sources are now available. However, scant indicators and assessment criteria have been empirically validated.\u0000 This paper identifies some of the challenges alongside the potential of using new local data in urban monitoring systems. A case study of an SDG monitoring platform implementation in a district of Berlin is examined, and the results show that the use of locale-specific, and unofficial\u0000 data not only improves data availability, but it also encourages local public participation. Based on our empirical findings, we determine that the incorporation of new data for urban sustainability monitoring should be treated as a complex social process.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44565245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How sustainable is the digital world?","authors":"Ortwin Renn","doi":"10.14512/gaia.32.s1.1","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.1","url":null,"abstract":"","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46787264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthias Gotsch, Nicholas Martin, E. Eberling, S. Shirinzadeh, Dirk Osiek
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.
{"title":"The contribution of data science applications to a green economy","authors":"Matthias Gotsch, Nicholas Martin, E. Eberling, S. Shirinzadeh, Dirk Osiek","doi":"10.14512/gaia.32.s1.6","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.6","url":null,"abstract":"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\u0000 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\u0000 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\u0000 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,\u0000 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.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48624963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Close scrutiny of the ICT for Sustainability conference proceedings on digitalization and sustainability reveals a bias on (technological) efficiency solutions. This bias is mirrored in blind spots in the public discourse and the political debate. The sustainable transformation of society calls for more comprehensive research ‐ and research funding ‐ to fill the gaps and integrate efficiency, consistency, and sufficiency strategies on the levels of life-cycle, enabling, and structural effects.In order to govern processes of digitalization for the purpose of the common good, it is important to understand the opportunities and risks of information and communications technology (ICT) for a sustainable transformation of society. In this article, we systematically review 215 publications from the ICT for Sustainability (ICT4S) conference corpus in order to investigate the state of debate. We analyze to what extent research covers sustainability implications of ICT, 1. regarding different levels of actions and effects, as well as 2. regarding the three different strategies of sustainability ‐ efficiency, consistency, and sufficiency. We find that ICT4S research has a one-sided focus on digital efficiency improvements and on life-cycle impacts of ICT devices and applications. There is far less research on digitalization’s potential to advance sufficiency-oriented practices, and questions of how to foster digital sustainability transformations at macro- and structural level are only marginally treated. We draw conclusions for funding and science politics.
仔细研究关于数字化和可持续性的可持续发展信息通信技术会议记录，可以发现对(技术)效率解决方案的偏见。这种偏见反映在公共话语和政治辩论的盲点上。社会的可持续转型需要更全面的研究——以及研究资金——来填补空白，并在生命周期、赋能和结构效应的层面上整合效率、一致性和充足性战略。为了管理数字化进程以实现共同利益，了解信息通信技术(ICT)对社会可持续转型的机遇和风险非常重要。在本文中，我们系统地回顾了来自ICT for Sustainability (ICT4S)会议语料库的215篇出版物，以调查辩论的状态。我们分析了研究在多大程度上涵盖了ICT的可持续性影响，1。关于不同层次的作用和效果，以及2。关于可持续性的三种不同策略——效率、一致性和充分性。我们发现ICT4S研究片面地关注数字效率的提高和ICT设备和应用的生命周期影响。关于数字化促进以充足为导向的实践的潜力的研究要少得多，关于如何在宏观和结构层面促进数字化可持续性转型的问题也只是被边缘化了。我们为资助和科学政治得出结论。
{"title":"Digitalization and sustainability: A systematic literature analysis of ICT for Sustainability research","authors":"T. Santarius, Josephin Wagner","doi":"10.14512/gaia.32.s1.5","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.5","url":null,"abstract":"Close scrutiny of the ICT for Sustainability conference proceedings on digitalization and sustainability reveals a bias on (technological) efficiency solutions. This bias is mirrored in blind spots in the public discourse and the political debate. The sustainable transformation\u0000 of society calls for more comprehensive research ‐ and research funding ‐ to fill the gaps and integrate efficiency, consistency, and sufficiency strategies on the levels of life-cycle, enabling, and structural effects.In order to govern processes of digitalization for the\u0000 purpose of the common good, it is important to understand the opportunities and risks of information and communications technology (ICT) for a sustainable transformation of society. In this article, we systematically review 215 publications from the ICT for Sustainability (ICT4S) conference\u0000 corpus in order to investigate the state of debate. We analyze to what extent research covers sustainability implications of ICT, 1. regarding different levels of actions and effects, as well as 2. regarding the three different strategies of sustainability ‐ efficiency, consistency,\u0000 and sufficiency. We find that ICT4S research has a one-sided focus on digital efficiency improvements and on life-cycle impacts of ICT devices and applications. There is far less research on digitalization’s potential to advance sufficiency-oriented practices, and questions of\u0000 how to foster digital sustainability transformations at macro- and structural level are only marginally treated. We draw conclusions for funding and science politics.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43038881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The use of augmented reality applications in urban planning improves the quality of participation processes and contributes to sustainable city development. However, as our case studies also show, these potentials are not fully exploited yet as augmented reality is not yet used in all planning phases.Sustainable urban development requires innovative approaches and concepts that involve people not only in planning processes but also in influencing the design of urban space. Modern formats, such as augmented reality (AR), can help to increase the motivation for participation and present different planning concepts more realistically through different forms of visualization. Based on case studies in Vienna, Austria, and Lucerne, Switzerland, we examine AR applications in planning participation and discuss the innovative nature of these applications. We show that the use of AR not only increases the motivation of the population to participate in planning processes but also increases the quality of participation processes and can, thus, trigger a sustainable transformation of cities.
{"title":"Using augmented reality in urban planning processes: Sustainable urban transitions through innovative participation","authors":"Frank Othengrafen, Lars Sievers, Eva Reinecke","doi":"10.14512/gaia.32.s1.9","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.9","url":null,"abstract":"The use of augmented reality applications in urban planning improves the quality of participation processes and contributes to sustainable city development. However, as our case studies also show, these potentials are not fully exploited yet as augmented reality is not yet used in all\u0000 planning phases.Sustainable urban development requires innovative approaches and concepts that involve people not only in planning processes but also in influencing the design of urban space. Modern formats, such as augmented reality (AR), can help to increase the motivation for participation\u0000 and present different planning concepts more realistically through different forms of visualization. Based on case studies in Vienna, Austria, and Lucerne, Switzerland, we examine AR applications in planning participation and discuss the innovative nature of these applications. We show that\u0000 the use of AR not only increases the motivation of the population to participate in planning processes but also increases the quality of participation processes and can, thus, trigger a sustainable transformation of cities.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43070482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Kunkel, Frieder Schmelzle, Silke Niehoff, G. Beier
Artificial intelligence (AI) systems carry risks and opportunities for environmental sustainability. The use of AI systems, for instance, can result in both software-related (direct) as well as application-context-related (indirect) resource use. Stakeholders are expected to play a role in understanding and steering the environmental effects of AI systems. However, the processes and anticipated outcomes of stakeholder involvement in AI system lifecycles are not clear. We provide a non-exhaustive scoping review of six software and AI sustainability frameworks with respect to their recognition of environmental sustainability and the role of stakeholders in dealing with environmental sustainability. This serves to develop recommendations for future research on how stakeholder involvement can help firms and institutions design and use more sustainable AI systems.
{"title":"More sustainable artificial intelligence systems through stakeholder involvement?","authors":"S. Kunkel, Frieder Schmelzle, Silke Niehoff, G. Beier","doi":"10.14512/gaia.32.s1.10","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.10","url":null,"abstract":"Artificial intelligence (AI) systems carry risks and opportunities for environmental sustainability. The use of AI systems, for instance, can result in both software-related (direct) as well as application-context-related (indirect) resource use. Stakeholders are expected to play a\u0000 role in understanding and steering the environmental effects of AI systems. However, the processes and anticipated outcomes of stakeholder involvement in AI system lifecycles are not clear. We provide a non-exhaustive scoping review of six software and AI sustainability frameworks with respect\u0000 to their recognition of environmental sustainability and the role of stakeholders in dealing with environmental sustainability. This serves to develop recommendations for future research on how stakeholder involvement can help firms and institutions design and use more sustainable AI systems.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45154929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digitalization offers opportunities for sustainable consumption patterns. However, the patterns enforced by present digital business models are not sustainable. Current European Union regulatory approaches for both consumers and environmental policies do not systematically address this challenge. By introducing “positive accountability,” we propose a systemic policy approach to hold digital companies accountable for their impact on consumers and the environment; supporting sustainable consumption in the digital age.
{"title":"Sustainable consumption in the digital age: A plea for a systemic policy approach to turn risks into opportunities","authors":"Maike Gossen, Otmar Lell","doi":"10.14512/gaia.32.s1.11","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.11","url":null,"abstract":"Digitalization offers opportunities for sustainable consumption patterns. However, the patterns enforced by present digital business models are not sustainable. Current European Union regulatory approaches for both consumers and environmental policies do not systematically address this\u0000 challenge. By introducing “positive accountability,” we propose a systemic policy approach to hold digital companies accountable for their impact on consumers and the environment; supporting sustainable consumption in the digital age.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45446410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Barth, Maike Gossen, Daniel J. Lang, T. Santarius
Can digitalization be designed in such a way that it does not harm the environment or promote unsustainable lifestyles? Can it even promote a green transformation? The authors of this GAIA special issue discuss how stakeholder engagement and transdisciplinary approaches can help address digitalization and sustainability in an integrated way. The special issue deepens insights into the state of knowledge on sustainable digitalization in both scientific and political discourses.
{"title":"Sustainable digitalization ‐ fostering the twin transformation in a transdisciplinary way","authors":"M. Barth, Maike Gossen, Daniel J. Lang, T. Santarius","doi":"10.14512/gaia.32.s1.3","DOIUrl":"https://doi.org/10.14512/gaia.32.s1.3","url":null,"abstract":"Can digitalization be designed in such a way that it does not harm the environment or promote unsustainable lifestyles? Can it even promote a green transformation? The authors of this GAIA special issue discuss how stakeholder engagement and transdisciplinary approaches can help\u0000 address digitalization and sustainability in an integrated way. The special issue deepens insights into the state of knowledge on sustainable digitalization in both scientific and political discourses.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49426312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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