Collaborative Research: HDR DSC: The Metropolitan Chicago Data Science Corps (MCDC): Learning from Data to Support Communities

来自芝加哥地区或在该地区有业务的五所大学的不同专家正在合作成立大都会芝加哥数据科学团，以1）帮助当地非营利组织利用不断增加的数据量和数据复杂性，2）培训数据科学专业的学生如何有效地将其学术知识应用于非营利部门的真实的数据挑战，3）在这些大学之间以及与当地社区学院交换数据科学课程和专业知识。组织可以提交数据服务请求（RDS）并获得帮助以开发它。MCDC特别欢迎与环境，健康和我们的社会福祉相关的RDS。每个RDS分配给一组学生。具有数据科学基础的学生团队在实习课程中形成，或作为暑期实习的一部分。MCDC将开发实习课程，每个团队都有一个或多个专家导师，并与请求组织建立伙伴关系。MCDC是大学、众多社区组织和两所扩展学院之间的跨学科合作伙伴关系，旨在通过将社区需求与学术学习相结合，加强国家数据科学人才队伍。通过支持基础设施来团结不同机构和学科的学生和教师，通过优先考虑社区的参与，并将现实世界中基于团队的数据科学项目嵌入到课程中，MCDC将成为一个独特的强大的教育体验，将支持社会进步。为了实现这一目标，现有的课程分为多种途径，以准备各种各样的学生参与MCDC。MCDC学生获得数据敏锐性和社会知识，旨在培养一支准备充分和敬业的劳动力队伍。MCDC项目负责人联合收割机在课程开发、包容性学习实践、将真实世界数据整合到课程、学习系统、数据科学以及健康、社会和环境科学方面结合了广泛、经过验证、有资金支持和多样化的专业知识。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

Diverse experts from five universities in, or with a presence in, the Chicago area are collaborating as the Metropolitan Chicago Data-science Corps to 1) help local non-profit organizations take advantage of increasing data volume and data complexity, 2) train data science students in how to effectively apply their academic knowledge to real data challenges in the non-profit sector, 3) exchange data science curriculum and expertise among these universities and with local community colleges. An organization can submit a Request for Data Services (RDS) and receive help to develop it. MCDC particularly welcomes RDS in areas related to environment, health, and our social well-being. Each RDS is assigned to a team of students. Teams of students with a foundation in data science are formed within a practicum course or as part of a summer internship. MCDC will develop the practicum course, where each team has one or more expert mentors and forms a partnership with the requesting organization. At the end of the term, each team will deliver a solution to each of the requesting organizations.MCDC is an interdisciplinary partnership between universities, myriad community organizations, and two expansion colleges and aims to strengthen the national data science workforce by integrating community needs with academic learning. By supporting infrastructure to unite diverse students and faculty across institutions and disciplines, by prioritizing the engagement of community, and embedding real-world team-based data science projects into the curriculum, the MCDC will be a uniquely powerful educational experience which will support societal progress. To realize this goal, existing curricula are grouped into multiple pathways to prepare a diverse range of students for participation in MCDC. MCDC students acquire both data acumen and societal knowledge that is intended to lead to a well-prepared and engaged workforce. The MCDC project directors combine extensive, proven, funded, and diverse expertise in curriculum development, inclusive learning practices, integrating real-world data into courses, learning systems, data science, as well as in health, social, and environmental sciences.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.