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Targeted Infusion Project: Inspiring, Engaging and Retaining Underrepresented Students in Computing Research and the Emerging Field of Data Science

Targeted Infusion Project: Inspiring, Engaging and Retaining Underrepresented Students in Computing Research and the Emerging Field of Data Science
有针对性的注入项目:激励、吸引和留住代表性不足的学生参与计算研究和数据科学的新兴领域
批准号:
2011933
负责人:
Clarence Lee
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-07-31

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中文摘要
翻译
历史上的黑人学院和大学本科生计划(HBCU-UP)通过有针对性的输液项目支持开发,实施和基于证据的创新模式和方法的研究,以提高HBCU本科生的准备和成功,使他们可以追求STEM研究生课程和/或职业。霍华德大学的这个项目旨在向本科生介绍数据科学方法,并通过应用学习活动增强概念知识。拟议的活动,包括主办数据科学研讨会和会议,将进一步支持学生的学习,并提高学生在研究生学习和/或研究生教育方面的竞争力。或未来的就业机会。这项拟议工作的目标是将数据科学融入课程,使学生能够在课程讲师的领导下,运用他们的技能探索以前无法接触的科学问题使用传统的方法。例如,学生将使用高性能计算来检查已被推断为存在于当代人群的基因组中的古代人类祖先的水平。该项目将支持600多名少数民族本科生在整个生物学课程的数据科学前沿方法的培训,提高他们在各种环境中的研究生学习和/或未来就业能力的竞争力,包括生物医学和环境科学,研究教育,该奖项反映了NSF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。
英文摘要
The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue STEM graduate programs and/or careers. This project at Howard University intends is to introduce undergraduate students to data science approaches and to enhance conceptual knowledge through applied learning activities. Proposed activities which include the hosting of data science workshops and conferences will further support student learning and increase student competitiveness for graduate studies and/or future employment opportunities.The objective of this proposed work is to infuse data science into the curriculum which will enable students under the leadership of the course instructor to apply their skills to the exploration of scientific questions that were previously inaccessible using traditional approaches. For example, students will use High Performance Computing to examine levels of archaic human ancestry that have been inferred to be present in the genomes of contemporary populations. The project will support the training of over 600 minority undergraduate students in cutting-edge methods in data science throughout the Biology curriculum, increasing their competitiveness for graduate studies and/or future employability in a variety of settings, including in biomedical and environmental sciences, research education, and public service.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.
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