# Scientific/Technical Core

> **NIH NIH P2C** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $162,359

## Abstract

Project Summary/Abstract – Scientific/Technical Core 
The objective of the Scientific/Technical Core (STC) is to advance the main aim of the University of Michigan's 
Population Studies Center (PSC)—which is to design, create, and use new data to advance population 
science—by advancing methods used for collecting and analyzing demographic data and by providing support 
and guidance for computing and data access and storage. The STC will provide scientific and technical 
support across a range of activities to both new and established researchers in the center, thereby enhancing 
their productivity, increasing the impact and innovation of their work, and facilitating collaborative projects. The 
STC will focus on providing researchers at PSC the access to methodological resources and training 
necessary for advancing innovative and large-scale surveys, analyzing big data and complex survey data, 
linking administrative and organic data, and designing and implementing experimental and quasi-experimental 
studies, as well as working with restricted data. It will do so by offering seminars, workshops, and 
consultations, as well as by mentoring researchers and by facilitating collaborations among PSC faculty and 
supporting access to university-level resources. In addition, the STC will provide direct small grant support for 
PSC faculty to develop and implement new research methods. These methodology-related activities form the 
backbone of our approach to increase the scientific innovation and impact of the research conducted by PSC 
faculty and the success of grant proposals submitted to NIH and other funders.

## Key facts

- **NIH application ID:** 9965958
- **Project number:** 5P2CHD041028-19
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** NARAYAN SASTRY
- **Activity code:** P2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $162,359
- **Award type:** 5
- **Project period:** 2001-08-21 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9965958

## Citation

> US National Institutes of Health, RePORTER application 9965958, Scientific/Technical Core (5P2CHD041028-19). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9965958. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*