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USP Grad Research Seminar, Monday, Jan. 14, 240 Franklin Center
January 14 @ 7:00 pm - 9:00 pm
Please join us for the first USP seminar of the spring semester. Three of our graduate and professional school students will be sharing their research.
Carsten Bryant (Divinity School)
A Christian Theology of Death
The Christian idea of what happens after death has often been assumed to be pie-in-the-sky, “otherworldly,” and escapist and is associated with fluffy clouds or sulfurous fires, chubby cherubs or horned demons, St. Peter or Satan, each at his respective gate. A proper Christian theology of death, I will argue, recognizes the seriousness and inherent evil that death is while also identifying Christ as the locus of Christian hope that death does not have the last word.
Molly Copeland (Sociology)
CONTENT WARNING: While no explicit visuals or descriptions are provided, some students may be sensitive to certain terminology connected with self-harm or depression.
Social Networks and Mental Health: What do peers mean for self-harm in adolescence?
This talk outlines basic concepts in social network analysis, showing how network methods and ideas can help us understand the importance of social relationships for human health. After outlining different ways networks can impact health, I highlight ongoing research examining how peer relationships in adolescence relate to mental health and health behaviors like self-harm. Specifically, network concepts help to identify social motivations and conditions for self-harm for young men and women, and indicate youth who may be at risk for suicidal behavior or subject to other symptoms of poor mental health.
Nicole Solomon (Biostatistics)
Probabilistic Linkage of Electronic Health Records for Improved Medical Studies
Public health and clinical data exist in numerous disparate locations such as claims registries, health data systems, and clinical trial databases. Combining data across these sources can be difficult as patient identifiers are often based on very different coding systems. Statistical modeling can be used to overcome this and identify individuals common to different databases even when such identifiers are unavailable. Linked databases and registries facilitate large-scale research including comparative effectiveness research studies, healthcare performance evaluation, and safety surveillance, all for less time, effort, and cost. Once common individuals are identified across the databases, subsequent analyses such as survival analysis and regression can be conducted on the information-rich linked dataset.