The John Jay Forensic Science and Computer Science Scholarship Program

约翰·杰伊法证科学和计算机科学奖学金计划

• 批准号: 1259769
• 负责人: Nathan Lents
• 金额: $ 63.22万
• 依托单位: CUNY John Jay College of Criminal Justice
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1259769&HistoricalAwards=false
• 关键词: John; Jay; Forensic; Science; Computer

The John Jay Forensic Science and Computer Science Scholarship supports academically talented students with demonstrated financial need in attaining baccalaureate degrees in Forensic Science and Computer Science at the John Jay College of Criminal Justice within the City University of New York (CUNY). The project features culturally sensitive recruiting within diverse student audiences at CUNY and at New York City public schools, and builds on a prior successful S-STEM award during which retention rates have steadily risen. Cohort-building and academic-support activities for scholars include faculty and peer mentoring, opportunities to participate in undergraduate research, and a variety of social and community activities to increase both academic and social engagement. The intellectual merit of the project lies in its thorough and nuanced approach to support student recruitment and success by supplementing financial support with practices grounded in the literature on retention and engagement, particularly for students from groups underrepresented in STEM. The broader impacts include expanding and diversifying the local and regional workforce in high-needs areas of forensic and computer science, as well as providing a model approach for supporting diverse, academically talented students in these fields.

约翰·杰伊法医科学和计算机科学奖学金支持在纽约（CUNY）内的约翰·杰伊刑事司法学院获得法医科学和计算机科学学士学位的有经济需要的学术才华的学生。该项目的特点是在纽约市立大学和纽约市公立学校的不同学生群体中进行文化敏感的招聘，并建立在之前成功的S-STEM奖的基础上，在此期间，保留率稳步上升。为学者提供的群体建设和学术支持活动包括教师和同行指导，参与本科生研究的机会，以及各种社会和社群活动，以增加学术和社会参与。该项目的智力价值在于其全面和细致入微的方法，以支持学生的招聘和成功，通过补充财政支持与基于保留和参与文献的做法，特别是对于来自STEM代表性不足的群体的学生。更广泛的影响包括在法医和计算机科学的高需求领域扩大和多样化的本地和区域劳动力，以及提供一个模式的方法，以支持在这些领域的多样化，学术人才的学生。