REU Site: Summer Research Program in Ecology at Harvard Forest

这个REU网站奖给哈佛大学的哈佛森林，位于彼得舍姆，马萨诸塞州，将支持12名学生在2020年至2022年的夏天11周的培训。预计共有36名学生，主要来自研究机会有限的学校或代表性不足的群体，将在该计划中接受培训。学生和导师将在团队中工作，他们将连接长期的，基于站点的研究和生态研究网络，以解决与社会相关的基本生态挑战。学生将提高他们在协作，合议环境中进行高质量跨学科研究的能力，许多人将在科学会议上展示他们的工作成果。该计划的评估将使用在线SALG URSSA工具。项目结束后，我们将对学生进行跟踪，以确定他们的职业道路。哈佛森林REU网站将培养下一代生态数据科学家，以负责任的方式“驾驭数据革命”--这是NSF未来研究的十大理念之一。自1993年以来，该项目将利用哈佛森林深厚的基于站点的知识和交叉生态研究网络的成员资格，以提高对地球系统的认识和预测环境变化反应的能力。项目范围从测量和模拟细菌进化以应对长期实验性土壤变暖，到将土地使用数据纳入氖涡流通量和有机体数据的解释，再到开发软件工具以提高科学的可复制性。所有项目都将涉及来自网站网络的生态数据和数据科学（例如，LTER、氖、ForestGEO、Ameriflux）。许多项目将包括虚拟协作;学生将有一个主要的现场导师来指导他们的工作，并将同时与远程导师团队合作。教育内容包括概况介绍、研讨会和专业发展讲习班，以及负责任地开展研究的培训。学生在线申请，申请人由研究导师与项目领导协商进行面试和选择。除了SALG URSSA工具外，还将使用IRB批准的为期10年的纵向研究来跟踪学生的成果。有关该计划的更多信息，请访问https：//harvardforest.fas.harvard.edu/summerprogram，或联系hfreuapp@fas.哈佛.edu。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

This REU Site award to Harvard University’s Harvard Forest, located in Petersham, MA, will support the training of 12 students for 11 weeks during the summers of 2020-2022. It is anticipated that a total of 36 students, primarily from schools with limited research opportunities or from an underrepresented group, will be trained in the program. Students and mentors will work in teams who will connect long-term, site-based research and ecological research networks to solve fundamental ecological challenges relevant to society. Students will enhance their ability to undertake high-quality interdisciplinary research in a collaborative, collegial environment, and many will present the results of their work at scientific conferences. Assessment of the program will use the online SALG URSSA tool. Students will be tracked after the program in order to determine their career paths.The Harvard Forest REU Site will train the next generation of ecological data scientists to responsibly ‘harness the data revolution’ – one of NSF’s 10 Big Ideas for future research. An REU Site since 1993, the program will leverage Harvard Forest’s deep site-based knowledge and membership in intersecting ecological research networks to advance knowledge of the earth system and the ability to predict responses to environmental change. Projects range from measuring and modeling bacterial evolution in response to long-term experimental soil warming, to incorporating land-use data into interpretations of NEON eddy-flux and organismal data, to developing software tools to improve replicability in science. All projects will involve ecological data and data science from networks of sites (e.g., LTER, NEON, ForestGEO, Ameriflux). Many projects will include virtual collaborations; students will have a primary on-site mentor to guide their work and will simultaneously work in teams with remote mentors. Educational components include an orientation, seminars and professional development workshops, and training in responsible conduct of research. Students apply online and applicants are interviewed and selected by research mentors in consultation with program leadership. In addition to the SALG URSSA tool, student outcomes will be tracked using a 10-year, IRB-approved longitudinal study. More information about the program is available by visiting https://harvardforest.fas.harvard.edu/summerprogram, or by contacting hfreuapp@fas.harvard.edu.This 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.