Workshop: Bridging the Digital and Data Divide

美国高等教育机构广泛和多样地采用数据科学教育规划，对科学和经济进步的未来至关重要。通过开发数据科学项目并将数据科学纳入课程，美国院校可以确保毕业生为21世纪的研究和工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、以教学为重点和为少数族裔服务的机构在项目开发方面的进展滞后，在全国对话中的代表性很低。因此，不同类型的高等教育机构之间出现了新的“数据鸿沟”，这将对科学和国家未来的劳动力需求都是有害的。本研讨会将确定主要面向本科生、以教学为重点和为少数群体服务的机构在开发数据科学教育项目时所面临的独特挑战。要解决的主题包括教师培训、基础设施需求、现有和潜在的资源，以及对此类机构的项目发展产生不成比例影响的专业知识差距。研讨会还将鼓励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项目的努力。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。这次研讨会的成果将帮助社区向确保数据科学教育广泛适用于全国范围内的学生群体又近了一步。该研讨会是确保美国各地不同的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、经济需求或其他目前可能限制晋升机会的人口统计数据。

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.