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研究将科学史与现代文化和技术知识融合在一起，以推动系统学和分类学领域的包容性实践。该项目的重点是鳄鱼，这是一群在全球文化和社区中显着地思考的动物，以开发一种基于跨学科的团队基于团队的模型，这些模型从考古，艺术和档案环境中，反映了与自然历史和分类法相关的文化信仰，对文化遗产材料进行了文化遗产材料的调查。该项目将导致知识融合模型，该模型将通过在线发布参考数据库，并通过在代表不同社区和文化的学生和参与者中为研究参与，推广和教育提供机会。该项目的其他结果包括公共科学传播活动，跨学科期刊文章以及本科，研究生和博士后研究人员的国际合作研究和专业发展机会。将针对这项研究的研讨会，将在每年的《保护科学》学生会议上开发。系统的分类法旨在认识到所有级别的生物多样性，但是在多样性文档中使用的许多数据都取决于这些收藏馆从没有适当归因的社区提供的知识。该项目将努力重新浮出水面，重新分配和整合基于地方的和传统知识，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对来源和后代社区贡献的档案研究，我们将通过其他社会利益相关者重新探讨自然和文化多样性的解释，并扩大知识生产和表现的途径。数字化，映射和生物分子分析方法与土著和基于地点的知识系统的技术进步的整合可能会使我们在理解生活系统之间的历史和关系的下一个大步。这项奖项反映了NSF的法定任务，并认为通过基金会的知识分子的知识和广泛的影响来评估CRETERIA，并被认为是值得通过评估的支持。