Integrating Art, History and Diverse Knowledge Systems in Systematics: A Framework to Advance Inclusive Practice in Taxonomy

将艺术、历史和多样化的知识系统整合到系统学中：推进分类学包容性实践的框架

• 批准号: 2218671
• 负责人: Evon Hekkala
• 金额: $ 36.72万
• 依托单位: Fordham University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2218671&HistoricalAwards=false
• 关键词: Integrating; Art; History; Diverse; Knowledge

This project is designed to integrate the history of science with modern cultural and technology-based knowledge through participatory research to advance inclusive practice in systematics and taxonomy. The project focuses on crocodiles, a group of animals which figure prominently in cultures and communities around the globe, to develop a model of interdisciplinary team-based surveys of cultural heritage materials from archaeological, artistic and archival contexts reflecting cultural beliefs related to natural history and taxonomy. The project will result in a model of knowledge integration that is to be disseminated by publishing a reference database online and by providing opportunities for research participation, outreach, and education in an exciting, shared endeavor among students and participants representing diverse communities and cultures. Other outcomes of the project include public science communication events, interdisciplinary journal articles, and international collaborative research and professional development opportunities for undergraduate, graduate, and postdoctoral researchers. A workshop focused on this research is to be developed for the annual Student Conference on Conservation Science. Systematic taxonomy strives to recognize all levels of biological diversity, yet much of the data used in the documentation of diversity has relied on knowledge provided by the communities from which these collections were sourced without appropriate attribution. This project will strive to resurface, re-attribute and integrate place based and traditional knowledge to enhance our understanding of biological diversity. Through team based co-produced archival research on the contributions of source and descendant communities we will re-visit the interpretation of natural and cultural diversity with additional societal stakeholders and expand pathways of knowledge production and presentation. The integration of technological advances in digitization, mapping and bio-molecular analysis methods with Indigenous and place-based knowledge systems may provide us with the next big jump in understanding the history of and relationships among living systems.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.

该项目旨在通过参与性研究将科学史与现代文化和技术知识相结合，以推进系统学和分类学的包容性实践。该项目重点关注鳄鱼这一在全球文化和社区中占有重要地位的动物群体，开发一种基于跨学科团队的模型，对来自考古、艺术和档案背景的文化遗产材料进行调查，反映与自然历史和分类学相关的文化信仰。该项目将形成一个知识整合模型，通过在线发布参考数据库并提供研究参与、推广和教育的机会，在代表不同社区和文化的学生和参与者之间进行令人兴奋的共同努力来传播该模型。该项目的其他成果包括公共科学传播活动、跨学科期刊文章以及为本科生、研究生和博士后研究人员提供国际合作研究和专业发展机会。将为年度保护科学学生会议举办一个专注于这项研究的研讨会。系统分类学致力于认识所有级别的生物多样性，但多样性记录中使用的大部分数据依赖于这些收集品来源社区提供的知识，而没有适当的归属。该项目将努力重新呈现、重新赋予和整合基于地方的传统知识，以增强我们对生物多样性的理解。通过基于团队的共同制作的关于源社区和后裔社区贡献的档案研究，我们将与其他社会利益相关者重新审视对自然和文化多样性的解释，并扩大知识生产和呈现的途径。将数字化、制图和生物分子分析方法方面的技术进步与本土和地方知识系统相结合，可能会为我们在理解生命系统的历史和相互关系方面提供下一个重大飞跃。该奖项反映了 NSF 的法定使命，并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，被认为值得支持。