Graduate Statistics Curriculum at a Crossroads

处于十字路口的研究生统计课程

• 批准号: 1844975
• 负责人: Deborah Nolan
• 金额: $ 6.84万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1844975&HistoricalAwards=false
• 关键词: Graduate; Statistics; Curriculum; Crossroads

Funding from this award will support the workshop "Graduate Statistics Education at a Crossroads", to be held November 2-3, 2018 in Alexandria, VA. The workshop will identify challenges and barriers that limit graduate statisticians from fully participating in the new era of big data. To address these challenges and barriers, workshop attendees will craft realizable recommendations for academic departments and institutions. It is expected that these recommendations will promote model curricula, pedagogical approaches, and innovative approaches that have the potential to foster broader engagement with data science and to promote success of future statisticians in data science research and the workforce more broadly. The workshop aligns with the training aspects of Harnessing the Data Revolution, one of ten big ideas for future NSF investment. More specifically, the workshop aims to identify an array of data-science related training activities that would support the statistics community in order that statisticians fully participate in cutting-edge interdisciplinary data science research. Additional details may be found at https://hub.ki/groups/statisticsgraduateeducation/overviewThis 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.

该奖项的资金将用于支持将于2018年11月2日至3日在弗吉尼亚州亚历山大市举行的研讨会“十字路口的研究生统计教育”。 讲习班将查明限制毕业统计人员充分参与大数据新时代的挑战和障碍。 为了应对这些挑战和障碍，研讨会与会者将为学术部门和机构制定可实现的建议。预计这些建议将促进示范课程、教学方法和创新方法，这些方法有可能促进更广泛地参与数据科学，并促进未来统计人员在数据科学研究和更广泛的工作队伍中取得成功。该研讨会与利用数据革命的培训方面保持一致，这是未来NSF投资的十大想法之一。更具体地说，讲习班旨在确定一系列与数据科学有关的培训活动，以支持统计界，使统计人员充分参与尖端的跨学科数据科学研究。更多细节可在www.example.com上找到https://hub.ki/groups/statisticsgraduateeducation/overviewThis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知识价值和更广泛的影响审查标准进行评估来支持。