# Scientific & Technical Core

> **NIH NIH P2C** · UNIVERSITY OF WASHINGTON · 2020 · $317,565

## Abstract

Scientific Core
The new Scientific Core integrates three pre-existing cores: Data and Methods Core, Computing Core, and
Biodemography Core. Bringing each of these cores under one supervisory umbrella improves communication
and efficiencies, better leveraging resources for faculty affiliates. As newly designed, the Scientific Core’s
leadership and staff provide consultations and services for Biodemography, Data Science and Demography,
Spatial Demography, and Statistical Demography. Biodemography staff facilitate the inclusion of biological
data and data collection into population research and offer shared laboratory facilities. Data Science staff
provide cutting-edge technical programming support, database application development, large-scale data
management, high performance computing, and computational science consults. Statistical Demography staff
provide consultations on statistical approaches, software, and programming. Spatial Demography staff provide
consultations on GIS methodologies and analyses. The NWFSRDC staff facilitates access to the enclave by
support for applications to the federal agencies, project establishment within the enclave, data management
within the enclave, and PI data security assurances. In sum, the Scientific Core contributes to CSDE’s mission
by providing expert consultations at every stage of the research process in a cost-effective way so that CSDE
affiliates remain productive and focused on advancing innovations and insights in population science.

## Key facts

- **NIH application ID:** 9979914
- **Project number:** 5P2CHD042828-19
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Kyle D Crowder
- **Activity code:** P2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $317,565
- **Award type:** 5
- **Project period:** 2002-07-05 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9979914

## Citation

> US National Institutes of Health, RePORTER application 9979914, Scientific & Technical Core (5P2CHD042828-19). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9979914. Licensed CC0.

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