Developing equity-oriented data practices for small-scale fisheries

为小型渔业制定以公平为导向的数据实践

• 批准号: 2105418
• 负责人: Lauren Drakopulos
• 金额: $ 14.8万
• 依托单位: Drakopulos, Lauren
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2105418&HistoricalAwards=false
• 关键词: Developing; equity; oriented; data; practices

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This award was provided as part of NSF's Social, Behavioral and Economic Sciences Postdoctoral Research Fellowships (SPRF) program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. Under the sponsorship of Dr. Jenny Goldstein at Cornell University, this postdoctoral fellowship award supports an early career scientist investigating the social benefits and barriers to integrating new data and technologies in fisheries science and management. Overfishing threatens global fisheries sustainability, yet policies to reduce the impact of fishing are said to be limited by critical data shortages. Digital technologies, such as cameras and geospatial tracking devices, have emerged as low-cost tools for collecting data on fishing activity. However, despite the widespread proliferation of data collection technologies, little research has examined the relational practices through which fisheries data are developed and deployed. This research examines data sharing practices between non-governmental organizations (NGOs), fishers, and other environmental governance actors to understand how digital fisheries data is collected, shared and applied in environmental decision-making. Whereas previous research has focused on planetary-scale environmental data networks, this study foregrounds the quotidian embodied practices of collecting and applying data and the complex interdependencies between the global and the local. This project advances knowledge in key ways by theorizing the linkages between data justice, gender and environmental equity in the Blue Economy, and by exploring gendered experiences with environmental data, particularly in the context of rural and resource-based livelihoods. The results can help inform policies and institutional practices that empower women while also improving fisheries sustainability with technology. This study employs a multi-sited case study of a new digital fisheries data collection program. This research asks three questions: 1) How do new data streams and data collection technologies enable or constrain fisheries participation, and in particular the participation of women? 2) In what ways do the design and development of data infrastructure and fisheries management strategies mutually inform one another? 3) How can data practices support equity in the Blue Economy? The research objectives are to: i) explore how fishers and women from fishing households perceive digital fisheries data, its role, importance and value, particularly in relation to their fishing livelihoods and; ii) evaluate how fisheries scientists and managers use new data streams collected with digital technologies. The Fellow will collect data through semi-structured interviews with fishers, fisheries scientists and managers, and stakeholders from the technology industry and through participant observation. The research will result in the development of two actionable tools: 1) a data-sharing protocol co-produced with fishers that NGOs can use to increase data accessibility and 2) recommendations for equity-oriented data practices which will be disseminated to policy-makers, NGOs and fisheries scientists and made publicly available. The results of this study will inform key ocean policy debates about fisheries data governance and provide empirical evidence for how gendered access to fisheries data impacts fishing participation. The novel fisheries data equity framework produced through this study has the potential to transform research on the Blue Economy by shifting focus from extractive technologies to data technologies as avenues for advancing more equitable participation in fisheries and oceans governance.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。该奖项是作为NSF的社会，行为和经济科学博士后研究奖学金（SPRF）计划的一部分提供的。SPRF计划的目标是为学术界，工业或私营部门和政府的科学事业准备有前途的早期职业博士级科学家。SPRF的奖励包括在知名科学家的赞助下进行两年的培训，并鼓励博士后研究员进行独立研究。NSF致力于促进来自科学界各部门的科学家，包括来自代表性不足的群体的科学家参与其研究计划和活动;博士后期间被认为是实现这一目标的专业发展的重要水平。每个博士后研究员必须解决推进各自学科领域的重要科学问题。在康奈尔大学Jenny Goldstein博士的赞助下，该博士后奖学金支持早期职业科学家调查渔业科学和管理中整合新数据和技术的社会效益和障碍。过度捕捞威胁到全球渔业的可持续性，但减少捕捞影响的政策据说因关键数据短缺而受到限制。数码技术，如照相机和地理空间跟踪装置，已成为收集捕捞活动数据的低成本工具。然而，尽管数据收集技术广泛扩散，但很少有研究审查渔业数据开发和部署的相关做法。本研究探讨了非政府组织（NGO）、渔民和其他环境治理参与者之间的数据共享实践，以了解数字渔业数据是如何收集、共享和应用于环境决策的。以往的研究侧重于行星规模的环境数据网络，而本研究突出了埃塞俄比亚收集和应用数据的具体做法以及全球和地方之间复杂的相互依存关系。该项目通过将蓝色经济中的数据公正、性别和环境公平之间的联系理论化，并通过探索环境数据的性别经验，特别是在农村和基于资源的生计方面，以关键方式推进知识。研究结果有助于为增强妇女权能的政策和机构做法提供信息，同时也有助于利用技术提高渔业的可持续性。本研究采用了一个新的数字渔业数据收集程序的多站点的案例研究。本研究提出了三个问题：1）新的数据流和数据收集技术如何促进或限制渔业参与，特别是妇女的参与？2)数据基础设施和渔业管理战略的设计和开发以何种方式相互提供信息？3)数据实践如何支持蓝色经济中的公平？研究目标是：i）探索渔民和渔民家庭的妇女如何看待数字渔业数据，其作用，重要性和价值，特别是与他们的渔业生计有关的信息; ii）评估渔业科学家和管理人员如何使用通过数字技术收集的新数据流。该研究员将通过与渔民、渔业科学家和管理人员以及技术行业的利益攸关方进行半结构化访谈，并通过参与观察收集数据。这项研究将导致开发两个可操作的工具：1）与渔民共同制定的数据共享协议，非政府组织可以用来增加数据的可访问性，2）将向政策制定者，非政府组织和渔业科学家传播并公开的以公平为导向的数据实践建议。这项研究的结果将为有关渔业数据治理的关键海洋政策辩论提供信息，并为性别对渔业数据的获取如何影响渔业参与提供经验证据。通过这项研究产生的新的渔业数据公平框架有可能改变蓝色经济的研究，将重点从采掘技术转移到数据技术，作为促进更公平参与渔业和海洋治理的途径。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。