# Sci-Tech Core-Population Dynamics Research Center

> **NIH NIH P2C** · UNIVERSITY OF PENNSYLVANIA · 2022 · $144,358

## Abstract

The goal of the newly reconfigured CIT Core under this P2C award is to support innovative population
research. The CIT Core provides a computing and information technology infrastructure that is stable,
secure, and state-of-the-art and that adapts to the evolving needs of PSC Research Associates and their
quest to create new knowledge and to solve real world problems in population health, demography, and the
population sciences. The CIT Core works with PSC Research Associates to implement and develop
efficient protocols that address the requirements of externally funded research and that facilitate
collaboration and communication among research networks, including data collection and sharing of
secure data. We will also use the CIT Core to harness the project-specific innovations underway in the
PSC to create a wider understanding of their meaning and the potential application of “big data.”
The responsibility of management of computing within the PSC, including hiring, planning and coordination
of services, is jointly shared with Social Sciences Computing (SSC), a division of SAS Computing (SASC).
The PSC has thus been able to take advantage of SASC’s expertise and experience in designing and
maintaining computing systems. It has proven a cost-effective way for the PSC to concentrate resources in
the implementation of cutting-edge initiatives for population research requiring specialized hardware,
software, or human capital that go beyond the general services provided by SSC. The key services above
and beyond the human capital are: (1) management and maintenance of statistical servers; (2) availability
of adaptable multi-node high-performance computing clusters; (3) support for desktop computing; (4)
secure data management and compliance; (5) storage and backup; (6) enabling networking and
collaboration for various types of research projects; (7) making available services that enhance the ability
of researchers to communicate and collaborate across space and time; and (8) support for data collection,
secure data sharing, and for new “big data” endeavors.

## Key facts

- **NIH application ID:** 10475163
- **Project number:** 5P2CHD044964-20
- **Recipient organization:** UNIVERSITY OF PENNSYLVANIA
- **Principal Investigator:** Xi Song
- **Activity code:** P2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $144,358
- **Award type:** 5
- **Project period:** 2003-07-10 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10475163

## Citation

> US National Institutes of Health, RePORTER application 10475163, Sci-Tech Core-Population Dynamics Research Center (5P2CHD044964-20). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10475163. Licensed CC0.

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