社会工作数据队项目:向社会工作学生介绍数据科学
Mustapha Alhassan1, Ivis King1, Youseung Kim1
1Whitney M. Young Jr., School of Social Work, Clark Atlanta University, Atlanta, USA.
Social work in public health
|February 12, 2025
概括
社会工作数据队 (SWDC) 项目向社会工作学生介绍了数据科学,为他们提供了分析边缘化社区健康差异的技能. 这一举措使学生能够使用数据科学方法来探索关键的社会问题.
科学领域:
- 数据科学的跨学科性质,包括统计,工程和社会科学等领域.
- 数据科学原则在社会工作领域的应用.
背景情况:
- 数据科学为社会工作学生提供了强大的工具来分析复杂的社会问题.
- 社会工作数据队 (SWDC) 项目是为了弥合社会工作教育和数据科学技能之间的差距而启动的.
研究的目的:
- 为社会工作学士 (BSW) 和社会工作士 (MSW) 学生介绍数据科学原则和应用.
- 通过二次数据分析指导学生探索边缘化社区的健康差异.
主要方法:
- 在2022年夏天实施SWDC项目.
- 对社会工作学生 (数据科学学者) 在利用数据科学工具和方法的指导.
- 使用二次数据源探索健康差异.
主要成果:
- 社会工作的学生在数据探索,分析和可视化方面获得了实践经验.
- 研究项目涉及各种健康问题,包括癌症,COVID-19和阿片类药物危机对美洲原住民的影响.
- 学生们调查了影响美国边缘化人口的健康差异.
结论:
- 数据科学教育可以显著提高社会工作学生解决社会问题的能力.
- 该项目成功地证明了将数据科学纳入社会工作课程的价值.
- 未来的社会工作实践可以通过对健康不平等的数据驱动的见解来获取信息.
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