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CAREER: Knowledge Infrastructure in the Red List of Threatened Species

职业：受威胁物种红色名录中的知识基础设施

基本信息

批准号：
2143984
负责人：
Beckett Sterner
金额：
$ 43.86万
依托单位：
Arizona State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-06-01 至 2027-05-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2143984&HistoricalAwards=false
关键词：
CAREER Knowledge Infrastructure Red List

项目摘要

This CAREER award is to support research at the intersection of history of science and social studies of science. The PI proposes to engage in an historical and conceptual study of a conservation database, the Red List of Threatened Species (RLTS), which is maintained by the International Union for the Conservation of Nature (ICUN). The RLTS is widely hailed as one of the great success stories in connecting science to action, and the IUCN has become one of the largest and most influential international organizations synthesizing scientific knowledge to inform conservation policy and decision making. RLTS is conceptualized in the project as knowledge infrastructure, which is understood as a robust networks of people, artifacts, and institutions that generate, share, and maintain specific knowledge about the human and natural worlds. This research project will develop the first historically-situated analysis of the RLTS’s general assumptions, virtues, and limitations as an exemplary case of knowledge infrastructure supporting cooperative global research among thousands of participants. Project results will generalize to inform the design of other knowledge infrastructures that aim to produce authoritative scientific knowledge using decentralized sources of information.The proposed analysis of the RLTS methodology will be the first to characterize the full arc of its history starting in the post-World War I era based on research using historical archives and published documents. The project will contribute novel datasets of article text, novel methodologies for scientometric analysis, and novel metadata describing journal articles, which will be distributed as open data and software. The project will analyze how the RLTS methodology reflects compromises accrued over time, how its uniform application is regulated, and where global standardization inhibits customization for increased local value. The project will also constitute the first study of RLTS contributor demographics, including information about geographic location and employment type of participants where available from public information.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.

这个职业奖是为了支持科学史和科学社会研究的交叉研究。研究所建议对国际自然保护联盟（ICUN）维护的保护数据库“濒危物种红色名录”（RLTS）进行历史和概念研究。RLTS被广泛誉为将科学与行动联系起来的伟大成功故事之一，IUCN已成为综合科学知识为保护政策和决策提供信息的最大和最具影响力的国际组织之一。RLTS在项目中被概念化为知识基础设施，它被理解为一个强大的人，工件和机构网络，用于生成，共享和维护有关人类和自然世界的特定知识。该研究项目将开发第一个历史上的RLTS的一般假设，优点和局限性的分析，作为知识基础设施的一个典型案例，支持数千名参与者之间的合作全球研究。项目结果将推广到其他知识基础设施的设计，旨在使用分散的信息来源产生权威的科学知识。对RLTS方法的拟议分析将是第一个基于使用历史档案和出版文件的研究来描述其历史的完整弧线的人。该项目将贡献文章文本的新数据集，科学计量分析的新方法，以及描述期刊文章的新元数据，这些数据将作为开放数据和软件分发。该项目将分析RLTS方法如何反映随着时间的推移而产生的妥协，其统一应用如何受到监管，以及全球标准化在哪里抑制了定制以增加本地价值。该项目还将构成对RLTS贡献者人口统计学的第一次研究，包括有关参与者的地理位置和就业类型的信息，这些信息可从公共信息中获得。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。