# Administrative Core

> **NIH NIH P2C** · UNIVERSITY OF WASHINGTON · 2020 · $13,372

## Abstract

CSDE seeks to advance population science and the understanding of human population dynamics and
processes in five primary research areas: Demographic Measurements and Methods; Environments and
Populations; Health of People and Populations; Migrations and Settlements; Wellbeing of Families and
Households. CSDE’s Administrative Core is the organizational hub that connects and coordinates with all of
the other cores, the executive leadership team, the Primary Research Area Chairs and faculty affiliates, and
collaborating partners across campus. Consolidating a process that began in 2011, CSDE’s Administrative
Core (AC) now (1) manages and coordinates all administrative needs for all cores (hiring, budgeting,
reconciliations, institutional compliance with all UW, state and federal regulations, and other record keeping) so
that the staff of other cores can focus on their primary missions; (2) coordinates, generates, and maintains all
information gathering, databases and reporting via several virtual platforms and print publications on behalf of
the entire center, PRAs, and individual affiliates; and, (3) secures resources and makes investments for center-
wide and PRA-specific activities that build communities and collaborations among CSDE’s affiliates to
stimulate new research and advance population science.

## Key facts

- **NIH application ID:** 9979911
- **Project number:** 5P2CHD042828-19
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** SARA R. CURRAN
- **Activity code:** P2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $13,372
- **Award type:** 5
- **Project period:** 2002-07-05 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9979911

## Citation

> US National Institutes of Health, RePORTER application 9979911, Administrative Core (5P2CHD042828-19). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9979911. Licensed CC0.

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