Emerging Technologies & Data Analytics Core
新兴技术
基本信息
- 批准号:10268738
- 负责人:
- 金额:$ 26.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-15 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAlgorithmsAreaAuthorization documentationBehavior TherapyBehavioralBehavioral SciencesCharacteristicsCollaborationsCommunitiesComputer softwareConsultDataData AnalyticsData SetDevelopmentDisciplineDissemination and ImplementationDoctor of PhilosophyEducational workshopEmerging TechnologiesEthicsEvaluationFacultyFoundationsGoalsGrantGuidelinesHomeIndividualInternationalInterventionLeadLearningLibrariesLicensingMeasuresMental HealthMentorsMethodsPaperPhenotypePhysiologicalPilot ProjectsPostdoctoral FellowProcessPublishingResearchResearch PersonnelResearch SupportResource SharingResourcesScientistSeriesStudentsSubstance Use DisorderTechnologyTimeUnderrepresented PopulationsVisualizationadaptive interventionanalytical methodbasebehavioral healthcontextual factorscostdata sharingdesigndigitaldigital treatmenteffective interventionfaculty communityimplementation scienceindustry partnerinnovationinterdisciplinary collaborationmultimodal datanew technologynovelnovel strategiespersonalized interventionphysical conditioningranpirnasesensorsensor technologystudent trainingsubstance use treatmentterabytetherapy developmentuser centered design
项目摘要
EMERGING TECHNOLOGY AND DATA ANALYTICS PROJECT SUMMARY
The science of behavioral health, and the development of effective interventions in behavioral health, are
increasingly supported by a range of technologies – from sensors that measure physiological conditions and
contextual factors, to algorithms that infer (and predict) an individual’s receptivity to an intervention in the
moment, to analytics that infer behavioral characteristics or individual phenotypes, to real-time classifiers that
drive just-in-time adaptive interventions, to analytic methods to statistically understand multimodal datasets, to
visualizations that sift through terabytes of sensor data, to user-centric design processes that lead to novel
interfaces that are acceptable and usable. Faculty affiliated with the CTBH Emerging Technologies and Data
Analytics Core (ETDA Core), which launched in the last P30 renewal period, have the expertise to address all
these components in this spectrum of foundational technologies.
In this P30 Center renewal application, the ETDA Core will enhance educational and research opportunities
focused on the application of emerging technologies and data analytics to the development and evaluation of
digital therapeutics. The Core will continue our current activities, including expanding the ETDA Core
community, promoting reciprocal learning, assisting with the seminar series, supporting the shared resources
developed during the current P30 period, providing expert consulting, and engaging with the Pilot Core to
sponsor Pilot RFAs that encourage and enable collaborations between ETDA-Core affiliates and CTBH
behavioral scientists. And, the Core will launch new activities, including hosting a tutorial series, contributing to
several research cross-Core workshops, sponsoring a trainee lunch series, expanding its expert consulting,
expanding industry partnerships, expanding international collaborations, addressing challenges of scale,
supporting research aimed at personalized interventions, supporting research on transdiagnostic mechanisms
and interventions, supporting activities related to digital ethics, and expanding efforts to increase inclusion of
underrepresented populations.
The ETDA Core will also support shared resources among our interdisciplinary Center team to enhance the
pace of development, and resulting potency, of digital therapeutics. To this end, the Core will maintain and
expand its pool of shared hardware, maintain and expand its set of group licenses for specialized software,
maintain and refine its home-grown software libraries, develop guidelines and best practices for effective user-
centered design of behavioral interventions, seek permission to obtain and share data sets, and further
develop its staff’s expertise in the creation and management of technology fundamental to operating robust
and scalable behavioral-health studies.
新兴技术和数据分析项目摘要
行为健康科学以及行为健康中有效干预措施的发展是
越来越多地得到一系列技术的支持 - 从测量生理条件和
上下文因素,以推断(并预测)个人对干预的算法
时刻,分析将行为特征或单个表型推断为实时分类器
驱动及时的自适应干预措施,以分析方法以统计上理解多模式数据集,
通过传感器数据筛分筛分的可视化量,以用户为中心的设计过程,这些过程导致新颖
可以接受且可用的接口。 CTBH新兴技术和数据的会员
在上一个P30续签时期推出的Analytics Core(ETDA Core)具有解决所有问题的专业知识
这些组成部分中的基础技术。
在此P30中心更新应用中,ETDA核心将增强教育和研究机会
专注于新兴技术和数据分析在开发和评估中的应用
数字疗法。核心将继续我们当前的活动,包括扩展ETDA核心
社区,促进互惠学习,协助开创性系列,支持共享资源
在当前的P30期间开发,提供专家咨询,并与Pilot Core互动
鼓励和启用ETDA核分支机构与CTBH之间的合作的赞助者飞行员RFA
行为科学家。而且,核心将发起新的活动,包括主持教程系列,为
几个研究跨核研讨会,赞助了学员午餐系列,扩大了其专家咨询,
扩大行业伙伴关系,扩大国际合作,应对规模挑战,
支持针对个性化干预措施的研究,支持对转诊机制的研究
和干预措施,支持与数字道德有关的活动以及扩大努力以增加包含
人口不足。
ETDA核心还将支持我们跨学科中心团队之间的共同资源,以增强
发展的速度和导致的数字疗法的效力。为此,核心将维护和
扩展其共享硬件池,维护和扩展其专用软件的组许可集,
维护和完善其本土软件库,制定有效用户的准则和最佳实践 -
行为干预的中心设计,寻求获得和共享数据集的许可,并进一步
发展其员工在创建和管理技术方面的专业知识,以实现强大的运营
和可扩展的行为健康研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Lisa A. Marsch其他文献
Barreras de acceso, autoreconocimiento y reconocimiento en depresión y trastornos del consumo del alcohol: un estudio cualitativo
- DOI:
10.1016/j.rcp.2020.11.021 - 发表时间:
2021-06-01 - 期刊:
- 影响因子:
- 作者:
Carlos Gómez-Restrepo;Paula Cárdenas;Arturo Marroquín-Rivera;Magda Cepeda;Fernando Suárez-Obando;José Miguel Uribe-Restrepo;Sergio Castro;Leonardo Cubillos;William C. Torrey;Sophia M. Bartels;Catherine Van Arcken-Martínez;Sena Park;Deepak John;Lisa A. Marsch - 通讯作者:
Lisa A. Marsch
Buprenorphine-assisted treatment of opioid-dependent adolescents: State of the science
- DOI:
10.1016/j.drugalcdep.2015.07.986 - 发表时间:
2015-11-01 - 期刊:
- 影响因子:
- 作者:
Jacob Borodovsky;Lisa A. Marsch;Sarah K. Moore - 通讯作者:
Sarah K. Moore
Caracterización de los usuarios de las redes sociales dentro del sistema de atención primaria en Colombia y predictores de su uso de las redes sociales para comprender su salud
- DOI:
10.1016/j.rcp.2020.12.010 - 发表时间:
2021-06-01 - 期刊:
- 影响因子:
- 作者:
Sophia M. Bartels;Pablo Martinez-Camblor;John A. Naslund;Fernando Suárez-Obando;William C. Torrey;Leonardo Cubillos;Makeda J. Williams;Sergio M. Castro;José M. Uribe-Restrepo;Carlos Gómez-Restrepo;Lisa A. Marsch - 通讯作者:
Lisa A. Marsch
Comparative efficacy of a computer-based HIV testing video intervention in sites of varying HIV prevalence
- DOI:
10.1016/j.drugalcdep.2014.09.040 - 发表时间:
2015-01-01 - 期刊:
- 影响因子:
- 作者:
Ian D. Aronson;Sonali Rajan;Lisa A. Marsch;Juline Koken;Theodore Bania - 通讯作者:
Theodore Bania
Relación entre las características sociodemográficas de los participantes del proyecto DIADA y la tasa de cumplimiento al seguimiento en la fase inicial de la intervención
- DOI:
10.1016/j.rcp.2020.11.019 - 发表时间:
2021-06-01 - 期刊:
- 影响因子:
- 作者:
María Paula Cárdenas Charry;Maria Paula Jassir Acosta;José Miguel Uribe Restrepo;Magda Cepeda;Pablo Martínez Camblor;Leonardo Cubillos;Sophia M. Bartels;Sergio Castro;Lisa A. Marsch;Carlos Gómez-Restrepo - 通讯作者:
Carlos Gómez-Restrepo
Lisa A. Marsch的其他文献
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{{ truncateString('Lisa A. Marsch', 18)}}的其他基金
Technology-based Treatments for Substance Use Disorders
基于技术的药物使用障碍治疗
- 批准号:
10268734 - 财政年份:2021
- 资助金额:
$ 26.38万 - 项目类别:
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