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年联合统计会议（JSM）多样性研讨会和指导计划/ JSM多样性指导计划。这些年度项目为来自未被充分代表的早期到中期职业水平的统计学家提供服务。通过在JSM为期四天的体验，参与者可以与导师和网络建立联系。此外，在JSM的结构化经验之外，还鼓励参与和联系。师徒关系对个人在所有职业阶段都至关重要。这些关系增加了对机会的认识，增加了对组织文化和政治的洞察力，增加了与机会或领导者的接触，以及其他好处。建立这样的关系也会影响项目的其他目标。导师可以帮助激励学生攻读统计方面的研究生或从事统计方面的职业，鼓励他们的学生加入美国统计协会或其他专业组织，并经常建立联系，增加讲习班参与者获得这些机会的机会。最终的社会结果是统计领域训练有素、有影响力的领导者组成了一支多元化的劳动力队伍。该项目的网站是https://community.amstat.org/cmis/events/dwmp/dmp2020This，该奖项反映了美国国家科学基金会的法定使命，并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，认为值得支持。