CC* CRIA: Building CI Strategies and Capacity at the Tribal Colleges

AIHEC CC*CRIA项目：在部落学院建设CI战略和能力，旨在解决将全国37所部落学院和大学(TCU)纳入国家基于网络基础设施的STEM研究和教育社区的问题。这一全面的CI战略侧重于让STEM教员和TCU IT组织参与CI培训、规划和社区建设，提高TCU教职员工和学生参与国家STEM研究和教育基础设施的能力。参与该项目的CI研究和教育利益相关者包括Internet 2、德克萨斯高级计算中心(TACC)、计算辅助科学和技术中心(CCAST)、科罗拉多大学博尔德研究计算中心和俄克拉荷马大学超级计算中心或教育与研究中心(OSCER)。该项目实施了一种具有成本效益的模式，以扩大历史上人数不足的重要人口在科技教育管理中的参与。该项目实施了知识管理的连接主义模式，在这种模式下，网络成员之间的互动自适应地分配支持个人和群体活动以实现网络成员的共同目标所需的资源。在这个项目中，TCU STEM教员和IT专业人员以及国家CI STEM领域特定的研究人员组成了这个扩展的自适应网络。与项目有关的活动涉及网络内的互动(例如，培训活动、使用数据分析工具)，以产生新的知识和技能，建设网络中技术合作股成员的集体能力，以制定、实施和支持研究和教育方案拟订。在这个扩展的网络中，成员之间的能力建设互动包括知识共享、指导和协作解决问题。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The AIHEC CC* CRIA project: Building CI Strategies and Capacity at the Tribal Colleges, addresses the issue of bringing the nation’s 37 Tribal Colleges and Universities (TCUs) into the national cyberinfrastructure-enabled STEM research and education community. This comprehensive CI strategy focuses on CI training, planning and community-building involving both STEM faculty and TCU IT organizations, advancing the capacity of TCU faculty and students to participate in the national STEM research and education infrastructure. CI research and education stakeholders participating in the project include Internet 2, the Texas Advanced Computing Center (TACC), the Center for Computationally Assisted Science and Technology (CCAST), the University of Colorado Boulder Research Computing Center, and the Oklahoma University Supercomputing Center or Education and Research (OSCER). The project implements a cost-effective model for broadening participation of an important historically underrepresented population in STEM. The project implements a connectivist model of knowledge management in which interactions among members of a network adaptively distribute resources needed to support individual and group activities to achieve common goals of the network membership. In this project, TCU STEM faculty and IT professionals and national CI STEM domain-specific researchers comprise this extended adaptive network. Project-related activities involve interactions within the network (e.g. training events, work with data analytic tools) that generate new knowledge and skills, build the collective capacity of the TCU members of the network to develop, implement and support research and education programming. Capacity-building interactions among members of this extended network include knowledge-sharing, mentoring and collaborative problem-solving.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.