TSIP: Ola I Ka Aina: Reviving Ecosystems Utilizing Science, Math and Indigenous knowledge.

部落学院和大学计划（TCUP）的一个目标是提高为国家土著学生服务的特定高等教育机构的科学、技术、工程和数学（STEM）教学和研究能力。在这些机构扩大STEM课程的范围，可以扩大学生在STEM领域追求具有挑战性、回报丰厚的职业的机会，为可能具有文化意义的领域提供研究，并鼓励社区和世代对科学和数学教育的欣赏。这个目标STEM注入项目（TSIP）与这一目标直接一致，而且将增加传统鱼塘恢复和管理的知识体系。西奥胡岛夏威夷大学将通过研究夏威夷传统鱼塘的恢复和管理来加强数学和生态学教学。基于传统陆地和海洋生态知识的综合数据驱动湿地生态修复，将增加学生的研究机会，提高数学和生态学课程的相关性。学生将利用西方科学和传统知识进行生态修复，并向社区团体和科学听众发表演讲。该项目将加强院校与社区之间的关系，同时支持社区学院与大学系统之间的STEM学生通道。该项目侧重于数据收集、分析和建模，将为学生提供强大的数据技能，同时使用系统方法来理解鱼塘恢复。一个跨学科的计划将使学生接触到不同的领域。该奖项反映了美国国家科学基金会的法定使命，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。

A goal of the Tribal Colleges and Universities Program (TCUP) is to increase the science, technology, engineering and mathematics (STEM) instructional and research capacities of specific institutions of higher education that serve the Nation's Indigenous students. Expanding the STEM curricular offerings at these institutions expands the opportunities of their students to pursue challenging, rewarding careers in STEM fields, provides for research studies in areas that may be culturally significant, and encourages a community and generational appreciation for science and mathematics education. This Targeted STEM Infusion Project (TSIP) aligns directly with that goal, and moreover will increase the body of knowledge on traditional fishpond restoration and management.The University of Hawai’i–West O’ahu will enhance math and ecology instruction through studying the restoration and management of traditional Hawaiian fishponds. An integrated data-driven wetland ecological restoration, based on traditional ecological knowledge of land and ocean, will increase research opportunities for students and improve relevancy of math and ecology courses. Students will utilize western science and traditional knowledge in ecological restorations and deliver presentations to community groups and scientific audiences. The project will strengthen relationships between the institution and community, while supporting STEM student pathways between community colleges and the university system. The project’s focus on data collection, analysis, and modeling will provide strong data skills for students, while using a systems-approach to understanding fishpond restoration. An interdisciplinary plan will expose students to a variety of fields.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.