Workshop: Bridging the Digital and Data Divide

研讨会：弥合数字和数据鸿沟

• 批准号: 1747961
• 负责人: Renata Rawlings-Goss
• 金额: $ 10万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747961&HistoricalAwards=false
• 关键词: Workshop; Bridging; Digital; Data; Divide

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.

美国高等教育机构对数据科学教育计划的广泛采用对于科学和经济进步的未来至关重要。通过制定数据科学计划并将数据科学整合到课程中，美国机构可以确保毕业生为二十一世纪的研究和行业需求做好准备。虽然在高等教育的研究机构开发的数据科学方面有重要的计划，但主要是本科，以教学为中心和少数族裔服务机构的计划发展进步在全国对话中落后和代表性不足。因此，在不同类型的高等教育机构之间存在着一个新兴的“数据鸿沟”，这对科学和国家的未来劳动力需求都是有害的。该研讨会将确定主要是本科，以教学为中心和少数族裔的机构所面临的独特挑战。要解决的主题包括讲师培训，基础架构需求，现有资源和潜在资源以及对此类机构计划开发的影响不成比例的专业知识差距。研讨会还将激发有关必要资源的讨论以及支持这些类型机构数据科学计划开发努力的可用机会。DATA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。该研讨会的结果将有助于社区更近一步，以确保数据科学教育对于全国学生群体的非常广泛的横截面可以广泛地获得。该研讨会是确保美国各地的学生人数能够在数据科学教育方面接受教育的重要一步，无论其位置，性别，种族，财务需求或其他人口统计数据如何，这可能会限制进步的机会。