Knox Scholars Data Science Research Program

项目摘要 广泛的目标：诺克斯学者数据科学研究计划将致力于促进 年轻人，特别是黑人和拉丁裔青年的力量，使科学，技术， 工程和数学（STEM）领域。参与者将是波士顿地区的高中生，他们是 在STEM领域代表性不足（黑人和拉丁裔青年，第一代大学生，低收入 学生）。结合带薪数据科学实习机会，大学入学和坚持， 职业准备由专业导师支持，社会情感学习编程将 使年轻人能够在不离开的情况下获得与蓬勃发展的STEM行业相关的金融稳定性 他们成长的城市，同时也支持当地产业更多样化，准备充分， 申请人池。 具体目标：诺克斯学者数据科学研究计划将达到150波士顿地区高 学生通常在STEM领域的代表性不足，五年内增加：（1）知识 通过两年以上的编程学习数据科学和技能;（2）数据科学的职业准备 通过为每位参与者提供数据科学专业人员的指导， 探索活动和职业准备研讨会;（3）通过以下方式进入大学并坚持下去 大学访问，大学准备研讨会，个性化的大学申请，财政援助， 奖学金申请支持;以及（4）通过社会情感学习支持青年领导力 方案和机会，如青年领导小组和青年领导的讲习班。 设计和方法：这个为期两年的计划将包括：（1）两个带薪数据科学实习， 第一个夏天侧重于培训，第二个夏天侧重于应用技能;（2）大学入学 和持久性编程;（3）由导师支持的职业准备;（4）社会情感 为总共150名在STEM中代表性不足的波士顿地区高中生提供学习编程 careers.每年夏天，30名青年（其中24人将通过这笔赠款支付）将开始该计划， 麻省理工学院为期五周的带薪数据科学培训实习青年将学习定量方法、数据 分析和编码以及基本的湿实验室技能，以更好地为实习和职业生涯做好准备， 数据科学领域。此外，青年将获得成功的关键技能，如时间管理， 积极主动的沟通，网络和公开演讲。这150名年轻人将成为一个更大的 一项名为LEAH项目的计划将为波士顿地区的500名高中生提供有偿教育。 STEM实习在补助期间。

Project Abstract Broad Objectives: The Knox Scholars Data Science Research Program will work to promote the power of young people, especially Black and Latinx youth, to diversify the science, technology, engineering, and math (STEM) fields. Participants will be Boston area high school students who are underrepresented in STEM fields (Black and Latinx youth, first-generation college students, low-income students). Combining paid data science internship opportunities, college access and persistence, career readiness supported by professional mentorship, and social-emotional learning programming will enable youth to access the financial stability associated with a booming STEM industry without leaving the city where they grew up, while also supporting local industry with a more diverse and well-prepared applicant pool. Specific Aims: The Knox Scholars Data Science Research Program will reach 150 Boston-area high school students typically underrepresented in STEM fields over five years to increase: (1) Knowledge and skills of data science through programming over two years; (2) Career readiness in data science through mentorships for each participant with a data science professional, data science career exploration events, and career readiness workshops; (3) College access and persistence through college visits, college readiness workshops, and individualized college application, financial aid, and scholarship application support; and, (4) Youth leadership supported through social emotional learning programming and opportunities such as a Youth Leadership Team and youth-led workshops. Design and Methods: This two-year program will consist of: (1) two paid data science internships, the first summer focused on training and the second summer focused on applied skills; (2) college access and persistence programming; (3) career readiness supported by mentorship; and, (4) social-emotional learning programming for a total of 150 Boston-area high school students underrepresented in STEM careers. Each summer 30 youth (24 of whom will be paid through this grant) will begin the program with a five-week paid data science training internship at MIT. Youth will learn quantitative methods, data analysis and coding alongside basic wet lab skills to better prepare them for internships and careers in data science fields. In addition, youth will gain skills critical to success such as time management, proactive communication, networking, and public speaking. These 150 youth will be part of a larger program called the LEAH Project that will place a total of 500 Boston-area high school youth in paid STEM internships during the grant period.