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

部落学院和大学方案的一个目标是提高为全国土著学生服务的特定高等教育机构的科学、技术、工程和数学教学和研究能力。扩大这些机构的STEM课程设置，扩大了学生在STEM领域追求具有挑战性和回报的职业的机会，为可能具有文化意义的领域提供了研究，并鼓励社区和一代人对科学和数学教育的欣赏。这个有针对性的STEM注入项目（TSIP）直接与这一目标相一致，而且将增加传统鱼塘恢复和管理的知识体系。夏威夷大学西奥州分校将通过研究传统夏威夷鱼塘的恢复和管理来加强数学和生态学教学。基于陆地和海洋的传统生态知识，综合数据驱动的湿地生态恢复将增加学生的研究机会，并提高数学和生态课程的相关性。学生们将利用西方科学和传统知识在生态学中的应用，并向社区团体和科学观众发表演讲。该项目将加强机构和社区之间的关系，同时支持社区学院和大学系统之间的STEM学生通道。该项目的重点是数据收集，分析和建模将为学生提供强大的数据技能，同时使用系统的方法来理解鱼塘恢复。一个跨学科的计划将使学生接触到各种领域。这个奖项反映了NSF的法定使命，并被认为是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的支持。

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.