Collaborative Research: CyberTraining: Pilot: A Cybertraining Program to Advance Knowledge and Equity in the Geosciences

该项目将建立和评估在地球科学领域内参与网络培训的可持续途径。该项目将加强包容性，重点是在网络基础设施(CI)方面培训代表性不足的地球科学学生，包括计算机编程、数据分析和建模，这些通常不是地球科学课程的一部分。该项目将加强对地球科学专业学生的编程教育，并增加STEM领域的准入和指导关系，从而为地球科学规划建立可持续的传播与信息。因此，该项目将降低STEM学生的入学门槛，同时发展地球科学方面的网络和指导关系。该项目将为地球科学研究生提供技能培训，以促进软件开发和科学交流方面的知识扩散。学生将学习自动化工作流程、测试代码、管理代码库、可视化数据和有效地交流研究，这将加快他们的研究基础并提供未来的专业机会。考虑到美国说西班牙语的STEM学生人数的规模，目前的努力将集中在双语网络培训上。这一CI项目将提供增强编码技能和沟通能力的机会，同时扩大学生的专业网络，并在多个职业阶段建立导师。网络培训将以一系列虚拟和面对面的方式进行，学生将在其中学习Python编码和数据分析，并将参加黑客松，以提供这些技能的实际应用。课程材料将是开源的，这将创建一个可持续的网络培训计划。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。

This project will build and evaluate sustainable pathways for participation in cybertraining within the Earth science fields. The project will enhance inclusivity by focusing on underrepresented geoscience students for training in cyberinfrastructure (CI), including computer programming, data analysis, and modeling, which are not typically parts of the geoscience curriculum. The project will enhance programming education for geoscience students and increase access and mentoring relationships in STEM fields, thus building sustainable CI for geoscience programing. Consequently, this project will lower barriers to entry for STEM students while developing networks and mentoring relationships in the geosciences. This project will provide geoscience graduate students with skills training that promote knowledge proliferation in software development and science communication. Students will learn to automate workflows, test code, manage code repositories, visualize data, and communicate research effectively, which will accelerate their research foundation and provide future professional opportunities. Given the size of the Spanish-speaking STEM student population in the United States, the current effort will focus on bi-lingual cybertraining. This CI project will provide opportunities to enhance coding skills and communication abilities, while expanding students’ professional network and establishing mentors at multiple career stages. Cybertraining will occur in a series of virtual and in-person terms, where students will learn Python coding and data analysis, and will be exposed to a Hackathon to provide practical application of these skills. Course materials will be open source, which will create a sustainable cybertraining program.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.