用计算社会科学的方法来理解接受查菲斯服务的预测因素

约翰-H-查菲成功过渡到成年的寄养计划（CFCIP）拨出资金，为那些有可能脱离寄养的青少年提供服务。这些服务涵盖了从指导到财政援助的所有内容，预计将以各种方式分配给青少年，使他们为以后的生活做好准备。然而，令人惊讶的是，人们对哪些青少年接受哪些服务知之甚少。目前的工作是利用全国过渡期青年数据库（NYTD），这是一个大规模的行政数据集，跟踪分配给使用CFCIP资金的青年的服务。具体来说，我们对NYTD的数据进行了法医社会科学分析。为此，我们首先使用计算方法来帮助我们发现与接受服务相关的最重要的因素。这样做有助于我们确定三个主要因素--青少年年龄、青少年被照顾的时间和青少年被照顾的州--与接受服务有最重要的联系。然后，我们进行分析，将现有的理论与这些因素联系起来，扩大我们对服务如何分配的理解，并为未来的工作铺平道路，以了解为什么存在这种关联。

原文题目：A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt

原文：The John H. Chafee Foster Care Program for Successful Transition to Adulthood (CFCIP) allocates funding to provide services to youth who are likely to age out of foster care. These services, covering everything from mentoring to financial aid, are expected to be distributed in ways that prepare youth for life after care. However, surprisingly little is known about which youth receive which services. The present work makes use of the National Youth in Transition Database (NYTD), a large-scale administrative dataset that tracks services allocated to youth that use CFCIP funds. Specifically, we conduct a forensic social science analysis of the NYTD data. To do so, we first use computational methods to help us uncover the most important factors associated with service receipt. Doing so helps us to identify three major factors-youth age, youth time in care, and the state in which a youth is in care-that are most heavily associated with service receive. We then conduct an analysis that links existing theory to these factors, expanding our understanding of how services are allocated and paving the way to future work to understand why such associations exist.