Learning Disabilities Translational Science Collective: Building on the Florida LDRC

学习障碍转化科学集体的长期目标是建立在成功的基础上 佛罗里达学习障碍研究中心明确解决研究与实践之间的差距 与特定学习障碍儿童（SLD）的识别和治疗相关的 阅读和阅读理解。该中心围绕翻译科学连续体组织， 多学科团队科学的概念是解决复杂公共卫生问题的必要方法 如SLD的研究等问题。迄今为止，在SLD分类和 处理没有包括反映该国多样性的样本，这引起了 现有的研究成果，以不同的学生群体。该中心有四个研究项目和三个 核心（管理、数据管理和参与）协同工作， 用不同的学生样本研究关于SLD的问题。这些研究项目代表了 科学连续体（T1-T4）。项目1涉及SLD的识别、分类和风险预测。项目 2（高风险）研究遗传和环境对干预反应性的影响， 显示出阅读风险早期迹象的儿童。项目3（参与）使用实施科学 更好地理解如何在真实学校中为评估系统开发可持续过程的方法 设置.项目4将利用人口一级的筛选数据，更好地了解分类系统， 规模每一个项目都涉及到所需的主题，即大量强调不同的参与者， 嵌入式计划，让早期职业研究人员和社区成员参与进来， 将发现付诸实践。

The long-range objective of the Learning Disabilities Translational Science Collective is to build on successes of the Florida Learning Disabilities Research Center to explicitly address the research to practice gap associated with the identification and treatment of children with specific learning disabilities (SLD) in word reading and reading comprehension. The Center is organized around the translational science continuum and the concept of multi-disciplinary team science as a necessary approach to tackle complex public health problems such as the study of SLD. To date, much of the research conducted in SLD classification and treatment has not included samples that mirror the diversity of the country, raising questions of applicability of existing research findings to diverse student populations. This Center has four research projects and three cores (administrative, data management, and engagement) that work synergistically to address applied research questions about SLD with diverse student samples. The research projects represent the translational science continuum (T1-T4). Project 1 addresses identification, classification, and risk prediction of SLD. Project 2 (high risk) investigates the genetic and environmental influence on the responsiveness to intervention for children who show early signs of reading risk. Project 3 (engagement) uses an implementation science approach to better understand how to develop sustainable process for assessment systems in authentic school settings. Project 4 will utilize population level screening data to better understand classification systems at scale. Every project addresses the required theme of a substantial emphasis on diverse participants and has embedded plans to engage early career researchers and community members to enhance the translation of findings into practice.