# DREAMS Translational Core - Methods and Data Integration (MDI)

> **NIH NIH P30** · KAISER FOUNDATION RESEARCH INSTITUTE · 2023 · $149,267

## Abstract

Project Summary/Abstract: Methods and Data Integration (MDI) Core
Over the last decade, there have been substantive advances in analytic research methods and the introduction
of novel sources and methods of data collection for translational research; these offer tremendous potential for
improving the prevention and management of type 2 diabetes. As one of two translational research cores
within the Diabetes Research for Equity through Advanced Multilevel Science Center for Diabetes
Translational Research (DREAMS-CDTR), the Methods and Data Integration (MDI) Core promote the
application of innovative methods and the use of novel data sources that facilitate two overarching priorities of
the CDTR: a) design and optimized targeting and tailoring of diabetes-related interventions and public health
policy to promote health equity and reduce inequalities, and b) to monitor the impact of innovations in care
delivery, public health and social policy on existing health inequalities.
Diabetes policy research increasingly relies on methodological expertise in five key areas: (a) natural
experiments research; (b) implementation science; (c) health economics including comparative effectiveness
and cost-effectiveness analysis; (d) simulation modeling; and (e) machine learning. The MDI core mission is to
promote those methods and data to facilitate policy research in diabetes and health equity.
The MDI Core will promote technological advances in data and research methods that can be applied to
support interventions in the T2-T4 translational research continuum ranging from ‘bench-to-bedside’ research,
clinical care and health services research, community-based intervention research, implementation sciences
research, comparative effectiveness analysis, all the way to agent-based simulation models that influence
policy, systems and environments. We will support a research environment that disseminates new statistical
and analytic approaches, such as hierarchical models, causal modeling, machine learning and artificial
intelligence techniques, and technological advances in data sources such as lab-based biomarkers, remotely
collected health data, and population health data. These goals will be accomplished by 1) Mentoring junior
investigators within our DREAMS-CDTR research center, 2.) Providing evidence-based consulting to CDTR,
health system, and community partners, and 3.) Disseminating knowledge of novel research methods and data
resources facilitating multilevel diabetes translational research and analysis of its impact on equity in diabetes
care and prevention to research sites within our CTDR, among all NIDDK-funded CDTRs and the broader
research and public health community.

## Key facts

- **NIH application ID:** 10690623
- **Project number:** 5P30DK092924-13
- **Recipient organization:** KAISER FOUNDATION RESEARCH INSTITUTE
- **Principal Investigator:** Andrew John Karter
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $149,267
- **Award type:** 5
- **Project period:** 2011-09-01 → 2026-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10690623

## Citation

> US National Institutes of Health, RePORTER application 10690623, DREAMS Translational Core - Methods and Data Integration (MDI) (5P30DK092924-13). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10690623. Licensed CC0.

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