Resource Core

资源核心

基本信息

批准号：
10672631
负责人：
Erich Kummerfeld
金额：
$ 19.06万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-05 至 2028-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10672631
关键词：
Adolescent Algorithms Architecture Area Categories Child Child Abuse and Neglect Clinical Complex Computer software Cost Effectiveness Analysis Data Data Analyses Data Science Development Doctor of Philosophy Education Educational Curriculum Elements Ensure Environment Evaluation Foundations High Performance Computing Information Technology Infrastructure Intervention Knowledge Knowledge Discovery Maintenance Manuals Minnesota Mission Modeling Monitor Outcome Play Positioning Attribute Predictive Factor Preparation Prevention Public Health Informatics Recommendation Research Research Design Resources Risk Role Safety Scientist Secure Services Software Tools Solid Technical Expertise Testing Training Translating Translational Research Translations Universities Validation Work causal model computer infrastructure data management data quality data tools data warehouse experience field study improved insight maltreatment model building operation outreach predictive modeling prevent software development success support tools theories tool

项目摘要

SUMMARY/ABSTRACT – RESOURCE CORE The Resource Core of the Center on Causal Data Science for Child and Adolescent Maltreatment Prevention (CHAMP Center) will play an indispensable role in discovering of new knowledge about factors that both predict and directly cause maltreatment (Project 1), translating these insights into tools accessible to those in a position to prevent maltreatment (Project 1), and assessing the validity of these new insights and tools in scalable interventions tested in field trials (Project 2). It will also inform the dissemination of knowledge, tools, and educational vehicles for scientists on the application of causal data science to maltreatment exposures and maltreatment-related outcomes by the Dissemination and Outreach Core. Notwithstanding the tremendous potential of predictive and causal knowledge that can be scaled, predictive and causal data approaches are not yet widely used in efforts to anticipate and prevent child maltreatment. Their use requires access to the state- of-the-art computational infrastructure, deep intellectual and technical skills, and high-quality tools for data analysis that the Resource Core brings to this Center. Translating the knowledge gained by complex modeling into decision support tools that can be broadly disseminated also requires specialized expertise. By providing centralized services to both Projects 1 and 2, while informing the activities of the Dissemination and Outreach Core and supporting development needs, the Resource Core will play a crucial role in providing the CHAMP Center with optimally efficient and cost-effective analyses and training.

摘要/摘要——资源核心儿童和青少年虐待预防因果数据科学中心的资源核心（CHAMP 中心）将在发现有关因素的新知识方面发挥不可或缺的作用预测并直接导致虐待（项目 1），将这些见解转化为人们可以使用的工具防止虐待的立场（项目 1），并评估这些新见解和工具的有效性实地试验中测试的可扩展干预措施（项目 2）还将为知识、工具、技术的传播提供信息。为科学家提供关于将因果数据科学应用于虐待暴露的教育工具尽管传播和外展核心造成了巨大的虐待相关后果。预测性和因果性知识的潜力是可以扩展的，但预测性和因果性数据方法却不能但其广泛用于预测和防止虐待儿童的努力需要获得国家的许可。最先进的计算基础设施、深厚的知识和技术技能以及高质量的数据工具资源核心为该中心带来的分析转化了通过复杂建模获得的知识。可以广泛传播的决策支持工具还需要提供专门的专业知识。为项目 1 和 2 提供集中服务，同时为传播和外展活动提供信息核心和支持发展需求，资源核心将在提供 CHAMP 方面发挥至关重要的作用提供最高效、最具成本效益的分析和培训的中心。