HDR DSC: National Data Mine Network

数据科学界有一个及时的机会来重新想象数据科学对经济的影响，并通过确保少数民族服务机构的学生能够获得尖端课程，研究机会和行业合作伙伴关系来改善社区的成果。2018年，普渡大学成立了The Data Mine，这是一个全校范围的本科生学习社区，向所有专业的参与本科生教授数据科学，无论他们以前的经验如何。它将自然地扩展到全国范围的模式，因为它是可访问的，支持的，但也提供了真正的数据科学挑战，激励学生学习所需的能力。国家数据挖掘网络（NDMN）将直接资助300名本科生在少数民族服务机构的研究津贴（每年100津贴），由美国统计协会直接管理给学生。领导团队利用美国统计协会、数学联盟、普渡大学、美利坚大学和亚特兰大大学中心数据科学计划的协作优势。学生将使用高性能计算来解决数据驱动的挑战，这些挑战出现在各个行业领域，包括生物医学工程，医疗保健工程，图像处理，制造业，供应链管理和运输。该项目将使本科生能够通过实践工作，在行业合作伙伴提供的研究或数据科学项目中学习数据科学。每个参与机构将有一个由教师和3-4名本科生领导的节点。所有教师将分享他们关于指导研究的最佳实践，如何与社区中的行业合作伙伴建立互利关系，以及如何开发机构机制来支持工作和建立数据科学计划。这个HDR DSC项目的一些关键成果将是：课程和学生研究的有据可查的项目，数据科学项目的强大在线培训资源，伴随数据科学项目的教师手册，教师发展自己技能的开发课程，以及教师如何与行业导师建立关系的最佳实践，以实现真实世界的数据驱动项目。NDMN对教师的一个关键好处是能够将数据科学技能注入他们的职业生涯，获得有关如何开展实践，数据密集型研究项目的知识和专业知识，以及发展新的行业合作伙伴关系的潜力，同时还建立自己的数据科学课程和计划。另一个关键的影响将是一个紧密联系的社区，支持新一代的300名不同的数据科学本科学员。第三个关键影响将是一个全国性的教师网络，他们共同努力，在少数民族服务机构建立这些数据科学课程，计划和行业合作伙伴关系。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。

The data science community has a timely opportunity to reimagine the impact of the data sciences on the economy, and to improve outcomes for communities, by ensuring that students at Minority Serving Institutions have access to cutting edge courses, research opportunities, and industry partnerships. In 2018, Purdue University established The Data Mine, a university-wide undergraduate learning community that teaches data science to participating undergraduates from all majors, regardless of their previous experience. It will scale naturally to a nationwide model because it is accessible, supportive, but also offers genuine data science challenges that motivate students to learn the required competencies. The National Data Mine Network (NDMN) will directly fund 300 undergraduate students at Minority Serving Institutions with research stipends (100 stipends per year), administered directly to students by the American Statistical Association. The leadership team leverages collaborative strengths of the American Statistical Association, the Math Alliance, Purdue University, American University, and the Atlanta University Center Data Science Initiative. The students will use high-performance computing to solve data-driven challenges that arise in every sector of industry, including biomedical engineering, healthcare engineering, image processing, manufacturing, supply chain management, and transportation.This project will enable undergraduate students to learn data science with hands-on work, in research or data science projects informed by industry partners. Each participating institution will have a node led by faculty members and 3-4 undergraduate students. All faculty members will share their best practices about mentoring research, how to establish mutually beneficial relationships with industry partners in their community, and how to develop institutional mechanics to support the work and to build data science programs. Some of the key deliverables of this HDR DSC project will be: well-documented projects for courses and for student research, a robust online training resource of data science projects, an instructor handbook that accompanies the data science projects, a development curriculum for the faculty to grow their own skills, and promising best practices on how faculty can develop relationships with mentors from industry for real-world data-driven projects. A key benefit of the NDMN to faculty is the ability to inject data science skills into their careers, to gain knowledge and expertise about how to carry out hands-on, data-intensive research projects, as well as the potential to develop new industry partnerships, while also building their own data science courses and programs. Another key impact will be a tightly knit community supporting a new generation of 300 diverse undergraduate trainees in the data sciences. A third key impact will be a nationwide network of faculty who work together to build these data science courses, programs, and industry partnerships at Minority Serving Institutions.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.