Workshop: Bridging the Digital and Data Divide

美国高等教育机构广泛而多样地采用数据科学教育计划对未来的科学和经济进步至关重要。通过开发数据科学课程并将数据科学融入课程，美国机构可以确保毕业生为21世纪的研究和行业需求做好更好的准备。虽然研究型高等教育机构正在开发重要的数据科学项目，但主要是本科生，以教学为重点和少数民族服务机构的项目开发进展滞后，在全国对话中代表性不足。因此，不同类型的高等教育机构之间出现了“数据鸿沟”，这对科学和国家未来的劳动力需求都是有害的。本次研讨会将确定主要是本科生，以教学为重点，少数民族服务机构在开发数据科学教育计划时所面临的独特挑战。要解决的问题包括教师培训，基础设施的需求，现有和潜在的资源，以及专业知识的差距，有不成比例的影响，在这些机构的计划发展。研讨会还将激发讨论必要的资源和可用的机会，以支持在这些类型的机构发展数据科学计划的努力。数据科学教育是美国在国际舞台上持续竞争力的重要组成部分。本次研讨会的成果将帮助社区更进一步，确保全国范围内的学生群体能够广泛地获得数据科学教育。该研讨会是确保美国各地不同学生群体能够接受数据科学教育的重要一步，无论他们的位置，性别，种族，经济需求或目前可能限制晋升机会的其他人口统计数据。

Broad and diverse adoption of data science educational programming by institutions of higher education in the United States is essential to the future of scientific and economic progress. By developing data science programs and integrating data science into curricula, U.S. institutions can ensure that graduates are better prepared for the research and industry needs of the twenty-first century. While there are significant programs in data science under development at research-oriented institutions of higher education, progress in program development at primarily undergraduate, teaching-focused, and minority-serving institutions is lagging and underrepresented in the national conversation. Consequently, there is an emerging "Data Divide" between the different types of institutions of higher education, which would be detrimental both to science and to the future workforce needs of the nation. This workshop will identify the unique challenges faced by primarily undergraduate, teaching-focused, and minority-serving institutions in developing data science educational programs. Topics to be addressed include instructor training, infrastructure needs, existing and potential resources, and expertise gaps that have a disproportionate impact on program development at such institutions. The workshop will also stimulate discussions about the necessary resources and the available opportunities for supporting efforts in the development of data science programs at these types of institutions.Data Science education is an essential component in the continued competitiveness of the United States on the international stage. The outcomes of this workshop will help the community move one step closer to ensuring that data science education is broadly accessible to a very broad cross-section of the student population across the nation. The workshop is an important step towards ensuring that diverse student populations across the U.S. are able to receive education in data science education regardless of their location, gender, ethnicity, financial need, or other demographics that may currently limit opportunities for advancement.