Science Core Abstract -- The Science Core (SC) is designed to provide scholars affiliated with the Duke Population Research Center (DPRC) with high quality, flexible computing and technical services in a cost- effective manner; including both data access and analytic tools. Over the past five years DPRC has (1) invested in SC services that leverage the rich IT infrastructure at Duke to ensure provision and seamless access to computational resources, new analysis tools, support for high-intensity network sampling and simulation tools, (2) helped to identify appropriate technical support for complex population analysis, and (3) provided training in new techniques, including those to analyze ?big? data sources such as web-based data. In the next five years, the SC will: (1) build on and maintain excellent computational resource provision for DPRC scholars, and (2) develop accessible and reproducible tools, methods, and expertise for compiling, curating, linking, and analyzing an ever growing volume of ?big? administrative and healthcare data for population research, an area in which DPRC scholars are already involved but still face significant challenges to use them. To accomplish the latter goal, DPRC will bring together scholars at Duke in partnerships with local government agencies and regional institutions to build the Durham Population Lab (DPL), an initiative that will permit the examination of social and environmental features that contribute to divergent health trajectories in a racially and ethnically diverse population. The DPL will function as a test ?kitchen,? incorporating new data and approaches, leveraging large population size for non-random sampling inference, and provide opportunities for rapid assessment for evidence-based policy making, while advancing the NICDH Population Dynamics Branch?s general interests in developing new tools and techniques for ?big? population and health science.

Project Start
Project End
2025-02-28
Budget Start
2020-06-01
Budget End
2021-05-31
Support Year
11
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Sun, Shiquan; Hood, Michelle; Scott, Laura et al. (2017) Differential expression analysis for RNAseq using Poisson mixed models. Nucleic Acids Res 45:e106
Schenck-Fontaine, Anika; Gassman-Pines, Anna; Gibson-Davis, Christina M et al. (2017) Local Job Losses and Child Maltreatment: The Importance of Community Context. Soc Serv Rev 91:233-263
Shi, Ying; Moody, James (2017) Most Likely to Succeed: Long-Run Returns to Adolescent Popularity. Soc Curr 4:13-33
Belsky, Daniel W; Caspi, Avshalom; Cohen, Harvey J et al. (2017) Impact of early personal-history characteristics on the Pace of Aging: implications for clinical trials of therapies to slow aging and extend healthspan. Aging Cell 16:644-651
Wiemers, Emily E; Slanchev, Vladislav; McGarry, Kathleen et al. (2017) Living Arrangements of Mothers and Their Adult Children Over the Life Course. Res Aging 39:111-134
Smith, Jeffrey A; Moody, James; Morgan, Jonathan (2017) Network sampling coverage II: The effect of non-random missing data on network measurement. Soc Networks 48:78-99
Belsky, Daniel W; Snyder-Mackler, Noah (2017) Invited Commentary: Integrating Genomics and Social Epidemiology-Analysis of Late-Life Low Socioeconomic Status and the Conserved Transcriptional Response to Adversity. Am J Epidemiol 186:510-513
Belsky, Daniel W (2017) Translating Polygenic Analysis for Prevention: From Who to How. Circ Cardiovasc Genet 10:
Rackin, Heather M; Gibson-Davis, Christina (2017) Low-income Childless Young Adults' Marriage and Fertility Frameworks. J Marriage Fam 79:1096-1110
Berchick, Edward R; Lynch, Scott M (2017) Regional Variation in the Predictive Validity of Self-Rated Health for Mortality. SSM Popul Health 3:275-282

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