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Columbia University Science of Behavior Change Resource and Coordinating Center: Open Science Administrative Supplement

Columbia University Science of Behavior Change Resource and Coordinating Center: Open Science Administrative Supplement
哥伦比亚大学行为改变科学资源和协调中心:开放科学行政补充
批准号:
9292851
负责人:
Karina W. Davidson
金额:
$8.0万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-30 至 2020-05-31

项目摘要

项目成果

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中文摘要
翻译
 描述(由申请人提供):此SOBC资源与协调中心(RCC)申请的总体目标是提供战略领导、高效协调、鼓舞人心的支持和开拓性的传播创新实验医学方法,SOBC联盟的科学家将采用这些方法来识别、验证分析和参与新的行为改变目标。作为SOBC RCC,我们将利用信息和团队科学的进步来帮助该联盟完成其使命,即确定有希望的行为改变目标,并将其转化为对公共健康的影响。具体地说,为了促进联合体内关于行为改变目标的可共享知识的系统化,我们将使用尖端信息科学原理和基于网络的快速学习协作平台来建立、管理和维护SOBC登记册,其中包括经过验证的分析、干预、最佳实践和技术指南。这将导致我们创建一个具有可搜索向导和电子协作能力的电子登记处。为了加强SOBC科学家之间的协调和沟通活动,我们将利用经验团队科学发现和在线科学社区方法。我们方法的创新方面将包括使用基于网络的快速学习协作平台、最低可行的创新系统(一种有组织的方法,以最少的资源和时间创建可靠的、具有战略重点的创新功能,传统上在商业环境中使用),以及众包来确定我们三个领域的基本行为科学差距。此外,我们将利用我们在统计、心理测量和全面的系统评估方面的丰富专业知识来支持SOBC联盟成员的需求。这将包括在行为改变领域进行多项系统审查,并在这些领域向联合会提供必要的培训和咨询。我们的RCC团队在衡量和验证遵守医疗方案和其他健康行为方面也拥有独特的专业知识。此外,我们还聚集了世界知名的科学家,在自我调节、应激反应和应激恢复以及人际和社会过程等目标分析领域。这些领域、量化方法和健康行为方面的专家将通过我们的协作平台和个人咨询为UH2/UH3科学家提供支持。我们方法的一些其他创新方面包括对最终分析的激励复制研究,将分析验证为西班牙语,以及多方法传播努力(例如,TED演讲)。基础行为科学的一个新出现的高优先级需求是找到更有效的方法来进行行为改变实验科学,然后将这些发现系统化和传播,以便行为改变科学的知识库可以程序化地推进,而不是随意地推进。我们的SOBC RCC拥有与NIH领导层和UH2/UH3科学家合作所需的经验和专业知识,以支持SOBC财团履行其在确定假定的、可修改的行为改变目标方面的承诺。
英文摘要
 DESCRIPTION (provided by applicant): The overall aim of this SOBC Resource and Coordinating Center (RCC) application is to provide strategic leadership, efficient coordination, inspired support, and pioneering dissemination of the innovative experimental medicine approaches that SOBC consortium scientists will adopt to identify, validate assays, and engage novel behavior change targets. As the SOBC RCC, we will capitalize on advances in Information and Team Science to help the Consortium accomplish its mission to identify and translate promising behavior change targets into public health impact. Specifically, to foster systematization of shareable knowledge on behavior change targets within the Consortium, we will use cutting-edge Information Science principles and a web-based Rapid- Learning Collaboration Platform to establish, curate, and maintain a SOBC registry of validated assays, interventions, best practices, and technical guidelines. This will lead to our creation of an electronic registry with searchable wizard and electronic collaboration capabilities. To enhance coordination and communication activities between SOBC scientists, we will leverage empirical Team Science findings and online science community approaches. Innovative aspects of our approach will include the use of the web-based Rapid- learning Collaboration Platform, a minimum viable innovation-system (an organized approach to creating a reliable, strategically focused innovation function with minimal resources and time that has traditionally been used in business settings), and crowdsourcing for identification of basic behavioral science gaps in our three domains. Further, we will draw upon our substantial expertise in statistical, psychometric, and comprehensive systematic reviews to support the needs of SOBC consortium members. This will include conducting multiple systematic reviews in the area of behavior change and providing essential training and consultations to the Consortium in these areas. Our RCC team also has unique expertise in the measurement and validation of adherence to medical regimens, and of other health behaviors. As well, we have gathered world-renowned scientists in the target assay domains areas of self-regulation, stress reactivity and stress resiliency, and interpersonal and social processes. These experts in the domains, quantitative approaches, and health behaviors will support the UH2/UH3 scientists through our Collaboration Platform and through individual consultations. Some additional innovative aspects of our approach include incentivized replication studies of finalized assays, validation of assays into Spanish, and multi-method dissemination efforts (e.g., TED talks). An emerging high- priority need for basic behavioral science is to find more effective ways to conduct behavior change experimental science, and then to systematize and disseminate these findings so that the knowledge base for behavior change science can advance programmatically, rather than haphazardly. Our SOBC RCC has the experience and expertise needed to work with NIH leadership and the UH2/UH3 scientists to support the SOBC consortium as it fulfills its promise in identifying putative, modifiable targets for behavior change.
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Optimization of monitoring, prediction and phenotyping of deterioration of inhospital patients using machine learning and multimodal real time data
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