NSF INCLUDES Collaborative: Creating a Diverse STEM Pathway with Community Water Research
NSF 包括合作:通过社区水研究创建多样化的 STEM 途径
基本信息
- 批准号:1649346
- 负责人:
- 金额:$ 29.95万
- 依托单位:
- 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:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Non-TechnicalLack of diversity in science and engineering education has contributed to significant inequality in a workforce that is responsible for addressing today's grand challenges. Broadening participation in these fields will promote the progress of science and advance national health, prosperity and welfare, as well as secure the national defense; however, students from underrepresented groups, including women, report different experiences than the majority of students, even within the same fields. These distinctions are not caused by the students' ability, but rather by insufficient aspiration, confidence, mentorship, instructional methods, and connection and relevance to their cultural identity. The long-term vision of this project is to amplify the impact of a successful broadening participation model at the University of Maine, the Stormwater Research Management Team (SMART). This program trains students and mentors in using science and engineering skills and technology to research water quality in their local watershed. Students engage in numerous science and technology fields: engineering design, data acquisition, analysis and visualization, chemistry, environmental science, biology, and information technology. Students also connect with a diversity of professionals in water and engineering in government, private firms and non-profits. SMART has augmented the traditional science and engineering classroom by engaging students in guided mentored apprenticeships that address community problems. TechnicalThis pilot project will form a collaborative and define a strategic plan for scale-up to a national alliance to increase the long-term success rate of underrepresented minority students in science, engineering, and related fields. The collaborative of multiple and varied organizations will align to collectively contribute time and resources to a pre-college educational pathway. There are countless isolated programs that offer short-term interventions for underrepresented and minority students; however, there is lack of organizational coordination for aligning current program offerings, sharing best practices, research results or program outcomes along the education to workforce pathway. The collaborative activities will focus on the transition grades (e.g., 4-5, 8, and high school) and emphasize relationships among skills, confidence, culture and future careers. Collaborative partners will establish a centralized infrastructure in each location to coordinate recruiting of invested community leaders, educators, and parents, around a common agenda by designing, deploying and continually assessing a stormwater-themed project that addresses their location and demographic specific needs. This collaborative community will consist of higher education faculty and students, K-12 students, their caregivers, mentors, educators, stormwater districts, state and national environmental protection agencies, departments of education, and other for-profit and non-profit organizations. The collaborative will address the need for research on mechanisms for change, collaboration, and negotiation regarding the greater participation of under-represented groups in the science and technology workforce.
科学和工程教育缺乏多样性,导致了负责应对当今重大挑战的劳动力的严重不平等。 扩大对这些领域的参与将促进科学进步,促进国家健康、繁荣和福利,并保障国防;然而,来自代表性不足群体的学生,包括妇女,报告的经历与大多数学生不同,即使在同一领域。 造成这些差别的原因不是学生的能力,而是志向、信心、指导、教学方法以及与其文化特性的联系和相关性不足。 该项目的长期愿景是扩大缅因州大学雨水研究管理团队(SMART)成功扩大参与模式的影响。 该计划培训学生和导师使用科学和工程技能和技术来研究当地流域的水质。 学生从事许多科学和技术领域:工程设计,数据采集,分析和可视化,化学,环境科学,生物学和信息技术。学生还可以与政府,私营公司和非营利组织的水和工程专业人士建立联系。SMART通过让学生参与解决社区问题的指导和指导学徒制,扩大了传统的科学和工程课堂。该试点项目将形成一个合作,并确定一个战略计划,扩大到一个国家联盟,以提高长期的成功率,代表性不足的少数民族学生在科学,工程和相关领域。多个不同组织的合作将共同为大学预科教育途径贡献时间和资源。有无数的孤立的方案,提供短期的干预措施,为代表性不足和少数民族学生,但是,缺乏组织协调,以调整目前的方案提供,分享最佳做法,研究成果或方案成果沿着教育劳动力的途径。合作活动将侧重于过渡年级(例如,4-5,8,和高中),并强调技能,信心,文化和未来职业之间的关系。 合作伙伴将在每个地点建立一个集中的基础设施,通过设计、部署和持续评估一个以雨水为主题的项目,围绕一个共同的议程,协调招募被投资的社区领袖、教育工作者和家长,以满足他们的地点和人口特定需求。 这个合作社区将包括高等教育教师和学生,K-12学生,他们的照顾者,导师,教育工作者,雨水区,州和国家环境保护机构,教育部门以及其他营利和非营利组织。 该合作项目将满足对变革机制的研究需求,合作,以及关于代表性不足的群体更多地参与科学和技术劳动力的谈判。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Changing the face of STEM with stormwater research
通过雨水研究改变 STEM 的面貌
- DOI:10.1186/s40594-018-0099-2
- 发表时间:2018
- 期刊:
- 影响因子:6.7
- 作者:Musavi, Mohamad;Friess, Wilhelm A.;James, Cary;Isherwood, Jennifer C.
- 通讯作者:Isherwood, Jennifer C.
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Mohamad Musavi其他文献
Classification of chromosomes using a probabilistic neural network.
使用概率神经网络对染色体进行分类。
- DOI:
10.1002/cyto.990160104 - 发表时间:
1994 - 期刊:
- 影响因子:0
- 作者:
W.P. Sweeney;Mohamad Musavi;John N. Guidi - 通讯作者:
John N. Guidi
Mohamad Musavi的其他文献
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{{ truncateString('Mohamad Musavi', 18)}}的其他基金
Engineering Innovative Solutions to Storm Water Problems through Diverse Community Participation
通过多元化的社区参与设计雨水问题的创新解决方案
- 批准号:
1348266 - 财政年份:2013
- 资助金额:
$ 29.95万 - 项目类别:
Standard Grant
Biodiversity and Ecosystem Informatics - BDEI - Planning Workshop on Biodiversity and Ecosystem Informatics for the Indian River Lagoon, Florida
生物多样性和生态系统信息学 - BDEI - 佛罗里达州印第安河泻湖生物多样性和生态系统信息学规划研讨会
- 批准号:
0131889 - 财政年份:2001
- 资助金额:
$ 29.95万 - 项目类别:
Standard Grant
An Intelligent System for Automated DNA Base Calling
自动化 DNA 碱基识别的智能系统
- 批准号:
9902565 - 财政年份:1999
- 资助金额:
$ 29.95万 - 项目类别:
Fellowship Award
GOALI/IUCP: Prediction of Wood Pulp K-Number with Neural Networks
GOALI/IUCP:用神经网络预测木浆 K 值
- 批准号:
9522981 - 财政年份:1996
- 资助金额:
$ 29.95万 - 项目类别:
Standard Grant
Classification of Mouse Chromosomes Using Artificial Neural Networks
使用人工神经网络对小鼠染色体进行分类
- 批准号:
9417279 - 财政年份:1995
- 资助金额:
$ 29.95万 - 项目类别:
Continuing Grant
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