# Scientific Core

> **NIH NIH P2C** · JOHNS HOPKINS UNIVERSITY · 2021 · $218,934

## Abstract

Scientific Core Abstract
The primary goal of the Scientific Core is to enhance the scientific impact, innovation, and productivity of
Hopkins Population Center (HPC) Associates’ research by facilitating the expansion of existing research,
initiation of new research directions, cross-fertilization across HPC Primary Research Areas (PRAs),
successful attainment of competitive external funding, and production of influential publications. The HPC
Director, Dr. Lingxin Hao, also directs the Scientific Core. Dr. Ciprian Crainiceanu is the Methods Lead, and Dr.
Qingfeng Li is the Data Lead. The Scientific core includes a part-time technical staff and a graduate RA. The
Scientific Core provides three types of services: Methods, Data, and Computing. Specifically, the Methods
Support facilitates the adoption of advanced methods to enhance the rigor of population dynamics research in
three topics: (1) Advanced Data Analytics address the fusion between data science, population science, and
health science, focusing on innovative analytics of wearable data, biomarkers, and population-scale networks
available in surveys or cohort studies; (2) Advanced Demographic Measurement and Modeling methods
enhance population dynamics research, focusing on advanced demographic measurement, Bayesian
modeling, and causal inferences; and (3) Data Collection Methods in the 21st Century focuses on innovative
data collection methods such as digital survey methods, long-term panel surveys, assessing and achieving
population representativeness, and innovative combination of qualitative data and econometrics. The Scientific
Core provides Methods Support via Methodological Consultation for developing new projects and analyzing
data supported by a Methodological Improvement Fund (MIF) program and Informal Educational Programs.
The Data Support includes timely data acquisition and management for new demographic events and
changing population processes, including the COVID-19 pandemic. The Computing Support maintains a “Cold
Room” for confidential data use and a server with a large memory and voluminous workspace. The Scientific
Core, jointly with the Development Core and Administrative Core, provides concerted nurturing of Early-Career
Associates to put them on fast track to independence. The P2C funding will allow the Scientific Core to provide
targeted, efficient services to HPC Associates and maximize the HPC’s scientific output through a close
synergy with the Development Core and Administrative Core, linking HPC Associates’ methodological needs
with methodological expertise within and beyond Johns Hopkins University (JHU) and leveraging the resources
of JHU’s data science units.

## Key facts

- **NIH application ID:** 10226569
- **Project number:** 2P2CHD042854-16A1
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** LINGXIN HAO
- **Activity code:** P2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $218,934
- **Award type:** 2
- **Project period:** 2003-07-10 → 2026-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10226569

## Citation

> US National Institutes of Health, RePORTER application 10226569, Scientific Core (2P2CHD042854-16A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10226569. Licensed CC0.

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