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REU Site: Undergraduate Research and Mentoring - Using the Lake Erie Sensor Network to Study Land-Lake Ecological Linkages

REU Site: Undergraduate Research and Mentoring - Using the Lake Erie Sensor Network to Study Land-Lake Ecological Linkages
REU 网站:本科生研究和指导 - 使用伊利湖传感器网络研究陆地-湖泊生态联系
批准号:
1461124
负责人:
Kevin Czajkowski
金额:
$32.48万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-01 至 2019-03-31

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中文摘要
翻译
REU Site奖授予位于俄亥俄州托莱多的托莱多大学伊利湖中心,将支持2015-2017年夏季为期9周的每年10名学生的培训。通过与学术界、机构、公共部门和工业界合作,解决陆地-水生态系统(包括有害藻类大量繁殖、入侵物种和气候变化)的关键环境挑战,该区域大学通过多学科独立项目培养科学研究技能。伊利湖中心的REU经验为研究员提供了在环境生物学、地理空间技术和土木工程领域工作的机会,所有这些领域都通过陆湖传感器网络联系在一起。分层的指导团队每名成员都有一名教授、一名博士研究生和一名机构科学家,他们在一个环境科学学习社区内建立了网络。所有人都将接受道德/负责任的研究培训。研究员获得以下形成技能:(1)提出科学问题和开发可检验的假设,(2)掌握科学术语、工具和技术,(3)设计和进行原创实验,(4)建立工作伙伴关系,(5)分析和综合数据,以及(6)展示、出版和交流研究。在线申请信息可在以下列出的计划网站上获得。预计总共将有30名少数民族、第一代大学生、女性、退伍军人或来自研究机会有限的学校的学生接受培训,为明天的科学和工程职业生涯做准备。学生将学习研究是如何进行的,许多人将在科学会议、网站、出版物和研讨会上展示他们的工作成果。将使用生物基础设施司(生物科学局)资助的所有REU项目使用的通用网络评估工具来确定培训方案的有效性。学生必须在项目结束后被跟踪,并必须回复通过NSF报告系统发送的自动电子邮件。欲了解更多信息,请访问http://www.utoledo.edu/nsm/lec/REU.html,,或联系国际和平组织(电子邮件:carol.stepien@utoldo.edu)或共同国际组织(查亚科夫斯基博士,电子邮件:kevin.czajkowski@utoldo.edu)。
英文摘要
This REU Site award to the University of Toledo's Lake Erie Center, located in Toledo, OH, will support the training of 10 students per year for 9 weeks during the summers of 2015- 2017. This REU builds science research skills through multi-disciplinary independent projects addressing key environmental challenges of land-water ecosystems (including harmful algal blooms, invasive species, and climate change) partnering academia, agencies, public sectors, and industry. This Lake Erie Center REU experience gives fellows an opportunity to work in the areas of environmental biology, geospatial technologies, and civil engineering, all linked via a Land-Lake Sensor Network. Tiered mentoring teams partner each fellow with a professor, a Ph.D. graduate student, and an agency scientist, networked within an Environmental Science Learning Community. All will receive ethics/responsible conduct of research training. Fellows gain formative skills to: (1) ask scientific questions and develop testable hypotheses, (2) master science terminology, tools, and techniques, (3) design and conduct original experiments, (4) build working partnerships, (5) analyze and synthesize data, and (6) present, publish, and communicate research. Online application information is available at the program website listed below. It is anticipated that a total of 30 students who are underrepresented minorities, first generation college students, women, veterans, or from schools with limited research opportunities, will be trained for the science and engineering careers of tomorrow. Students will learn how research is conducted, and many will present the results of their work at scientific conferences, and a website, publications, and workshops. A common web-based assessment tool used by all REU programs funded by the Division of Biological Infrastructure (Directorate for Biological Sciences) will be used to determine the effectiveness of the training program. Students are required to be tracked after the program and must respond to an automatic email sent via the NSF reporting system. More information is available by visiting http://www.utoledo.edu/nsm/lec/REU.html, or by contacting the PI (Dr. Stepien at carol.stepien@utoledo.edu) or the co-PI (Dr. Czajkowski at kevin.czajkowski@utoledo.edu).
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I-Corps: 3-Dimensional Data Output from Remote Sensing Algorithms
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