Diversity Workshop and Mentoring Program

多元化研讨会和辅导计划

• 批准号: 2016175
• 负责人: Donna LaLonde
• 金额: $ 4.99万
• 依托单位: American Statistical Association
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016175&HistoricalAwards=false
• 关键词: Diversity; Workshop; Mentoring; Program

This project supports the 2020 through 2022 offerings of the Joint Statistical Meetings (JSM) Diversity Workshop and Mentoring Program / JSM Diversity Mentoring Program. These annual programs serve statisticians from underrepresented groups at early- to mid-career levels. Participants are connected to mentors and a network through a four-day experience at the JSM. Additionally, engagement and connections are encouraged beyond the structured experience at the JSM. Mentoring relationships are critically important for individuals at all career stages. These relationships result in increased awareness of opportunities, increased insight into organizational culture and politics, and increased access to opportunities or leaders, among other benefits. Establishing such relationships has the ability to impact other objectives of the program as well. Mentors can help motivate students to pursue graduate study or careers in statistics and encourage their proteges to become involved in the American Statistical Association or other professional organizations and can often make connections that increase the access of the workshop participants to these opportunities. The net societal result is a diverse workforce of well-trained, influential leaders in the field of statistics. The website for this project is https://community.amstat.org/cmis/events/dwmp/dmp2020This 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.

该项目支持2020年至2022年共同统计会议（JSM）多样性研讨会和指导计划 / JSM多样性指导计划的产品。 这些年度计划为早期至中期级别的人数不足的群体提供服务。通过在JSM的为期四天的体验，参与者与导师和网络联系在一起。此外，除了JSM的结构化体验之外，还鼓励参与和联系。在所有职业阶段，指导关系至关重要。这些关系导致人们对机会的认识提高，对组织文化和政治的洞察力增加，并增加获得机会或领导者的机会，以及其他收益。建立这种关系也可以影响计划的其他目标。导师可以帮助学生从事研究生学习或统计学领域的职业，并鼓励他们的蛋白质参与美国统计协会或其他专业组织，并经常建立联系，以增加研讨会参与者的访问权限。净社会结果是统计领域训练有素，有影响力的领导者的各种劳动力。该项目的网站是https://community.amstat.org/cmis/events/dwmp/dmp2020202020 This Award反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来进行评估的。