Targeted Infusion Project: Providing a Data Science and Analytics approach to the Honors Curriculum at Howard University
Targeted Infusion Project: Providing a Data Science and Analytics approach to the Honors Curriculum at Howard University
批准号:
2306799
负责人:
LaTanya Brown-Robertson
金额:
$39.94万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2026-08-31
中文摘要
历史上的黑人学院和大学本科项目(HBCU- up)通过有针对性的输液项目支持基于证据的创新模式和方法的开发、实施和研究,以改善HBCU本科生的准备和成功,使他们可以追求科学、技术、工程或数学(STEM)研究生课程和/或职业。该项目的目标是将数据科学与分析(DSA)纳入霍华德大学文理学院的荣誉课程和课外经验,目标是化学、生物学、数学、心理学、政治学和经济学等学科。该项目的DSA内容开发活动将以结合能力为基础的教育和基于问题的学习为指导,两者都被认为是吸引和留住优秀学生的高影响力实践。该项目将开发四个模块:数据科学概论和研究方法;数据转换与分析;数据可视化与机器学习;和人工智能——包括令人兴奋的创新方法、任务、项目和经验。该课程每年将为400多名COAS荣誉学生提供应用研究和stem相关研究生院的机会,并最终培养多元化的DSA劳动力。该项目还将为在STEM和其他领域历史上代表性不足的本科生提供研究机会,以解决影响当地和全球少数民族社区的健康、经济和环境问题,利用DSA确定当前和未来的解决方案。此外,该项目将为两组荣誉学生研究人员提供DSA研究海外学习经验,使他们前往加纳,将DSA研究纳入健康差距、性别平等和环境正义三个主题领域。研究结果将(通过会议和出版物)传播给更广泛的研究界和决策者,以制定影响全球少数民族社区的政策并提供解决方案。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。
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 science, technology, engineering, or mathematics (STEM) graduate programs and/or careers. The goal of this project is to incorporate data science and analytics (DSA) into the honors curriculum and co-curricular experiences in the College of Arts and Science at Howard University, targeting the disciplines of Chemistry, Biology, Mathematics, Psychology, Political Science and Economics.This project’s DSA content development activities will be guided by the incorporation of Competency-Based Education and Problem-Based Learning, both regarded as high impact practices that attract and retain high-achieving students. The project will develop four modules – Introduction to Data Science and Research Methodology; Data Transformation and Analytics; Data Visualization and Machine Learning; and Artificial Intelligence – that include exciting and innovative methods, assignments, projects, and experiences. The curriculum will prepare over 400 COAS Honors students annually for applied research and STEM-related graduate school opportunities and ultimately develop a diverse DSA workforce. The project will also provide research opportunities for undergraduate students historically underrepresented in STEM and other fields to address health, economic, and environmental issues impacting local and global minority communities, using DSA to identify current and future solutions. In addition, the project will offer a DSA research study abroad experience for two cohorts of honor student researchers to travel to Ghana to incorporate DSA research focusing on the three theme areas of Health Disparities, Gender Equity, and Environmental Justice. The research findings will be disseminated to the broader research community and policymakers (through conferences and publications) to bring policies and provide solutions impacting minority communities globally.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金