NeuroLab M3: Discovery-based explorations of scientific models, model organisms,

NeuroLab M3是一个全面的研究教育计划，通过一系列相互关联的深入，跨学科和基于发现的科学模型，模型生物和模型系统在发育神经科学中的探索，仔细指导高中学生。由一流的生物医学研究科学家，神经信息学家，教育媒体和科学传播专家组成的广泛而包容的专业合作伙伴关系网络的支持下，该计划描绘了一个连贯和深思熟虑的学习进展，使学生参与核心科学实践内部和之间不同但相互关联的研究为基础的学习环境。比较功能基因组学的沉浸式住宅研究机构将让150名高中生参与一个完整和综合的科学工作流程，为他们提供新的机会，以扩大目前可供科学家研究神经发育基本方面的工具库，包括神经元规范和轴突寻路。通过我们与神经科学信息框架的合作，这是一个由NIH蓝图支持的大规模神经信息学和资源访问计划，NeuroLab M3计划还为学生提供了新的机会，让他们有意义地参与数据共享，管理，注释和分析的实践。更具体地说，除了生成对生物医学研究界具有实用价值的真实和新颖的科学数据外，学生还将通过由美国细胞生物学学会和国家显微镜和成像研究中心共同维护的公共访问图像资源数据库传播他们的发现。在我们的港口为基础的学习实验室举办的住宅研究经验将构成学生学习进程的一部分，最终在为期8周的大学研究实习，通过生物医学合作伙伴实验室的区域网络提供在加州大学（UC），洛杉矶，加州理工学院，加州大学欧文分校，索尔克生物研究所，加州大学圣地亚哥分校，和斯克里普斯海洋研究所。总的来说，这些经验旨在激发和加强对生物医学职业途径的兴趣，培养现实的职业期望，培养对交叉概念和核心科学实践的理解，并提高科学过程技能。项目的第三个组成部分旨在通过让大量教师和学生参与使用创新的、基于游戏的学习互动，引导他们从基础研究到应用研究的连续统一体，并进入科学建模企业的视觉上引人注目的探索，来实现其中的许多成果。与NSF屡获殊荣的游戏专家合作开发，这个公共访问资源将采用一套嵌入式尖端评估指标，数据跟踪工具和其他分析工具，以评估学生如何收集，分析，吸收和应用新知识，以完成围绕基础神经科学研究和轴突寻路的当前模型组织的互动任务。

DESCRIPTION (provided by applicant): NeuroLab M3 is a comprehensive research education program that carefully guides high school students through an interrelated series of in-depth, interdisciplinary, and discovery-based explorations of scientific models, model organisms, and model systems in developmental neuroscience. Supported by a broad and inclusive professional partnership network consisting of top-flight biomedical research scientists, neuroinformaticians, and educational media and science communication experts, the program delineates a coherent and thoughtfully conceived learning progression that engages students in core scientific practices within and among distinct but interrelated research-based learning environments. Immersive residential research institutes in comparative functional genomics will engage 150 high school students in a complete and integrated scientific workflow that provides novel opportunities for them to expand the repertoire of tools that are currently available for scientists to investigate fundamental aspects of neural development, including neuronal specification and axon pathfinding. Through our collaboration with the Neuroscience Information Framework, a broad-scale neuroinformatics and resource access initiative enabled by the NIH Blueprint, the NeuroLab M3 program also presents new opportunities for students to meaningfully partake in the practices of data sharing, management, annotation, and analytics. More specifically, in addition to generating authentic and novel scientific data that is of practicl value to the biomedical research community, students will disseminate their findings through a public-access image resource database that is jointly maintained by the American Society for Cell Biology and the National Center for Microscopy and Imaging Research. Residential research experiences hosted at our harbor-based learning laboratory will constitute part of a student learning progression that culminates in 8-week university research internships offered through a regional network of biomedical partner laboratories at the University of California (UC), Los Angeles, California Institute of Technology, UC Irvine, Salk Institute for Biological Studies, UC, San Diego, and Scripps Institution of Oceanography. Collectively, these experiences are intended to stimulate and bolster interest in biomedical career pathways, foster realistic career expectations, cultivate an understanding of crosscutting concepts and core scientific practices, and enhance science process skills. A third project component seeks to achieve many of these outcomes by engaging large numbers of teachers and students in the use of an innovative, game-based learning interactive that leads them through the basic to applied research continuum and into visually compelling explorations of the scientific model-building enterprise. Developed in collaboration with NSF award-winning gaming experts, this public-access resource will employ an embedded suite of cutting-edge assessment metrics, data tracking tools, and other analytics to evaluate how students collect, analyze, assimilate, and apply new knowledge to complete interactive missions organized around basic neuroscience research and current models of axon pathfinding.