# Data Science to Power Implementation with Social Determinants of Health - from Data to Action

> **NIH NIH R13** · UNIVERSITY OF MARYLAND BALTIMORE · 2021 · $25,000

## Abstract

Specific aims
Our overall goal is to build multidisciplinary networks around data and implementation science to drive science
and translation, and advance improvements in the development, implementation and dissemination of medical
evidence, with an examination of social determinants of health and disparities through the lens of Artificial
Intelligence (AI). We will focus on generating evidence on substance use, to enhance early detection,
prevention efforts and accelerate initiation of and adherence to treatment.
The focus will be on exploring uses of AI in big data and in identifying novel sources of data. These include but
are not limited to data on the social determinants of health, including social capital, that would be incorporated
into the health record and put to use in supporting clinical practice. Patient groups will be represented on the
planning committee, on the speakers list and in the target audience.
The intended audience includes patients, patient groups, clinical and dissemination and implementation
researchers, medical and other health practitioners, social scientists, public health professionals and officials,
patients and patient organizations, governmental and other health agencies, data scientists and other
stakeholders who are interested in improving our approaches to turning observations into interventions that
improve health.
The proposed conference serves to plan and set the tone for such discussions, as it will address the topic of AI
and health disparities, it will involve around students and junior investigators, and 50% racial minority and
women participation as speakers. We will engage disparities populations in the translation and dissemination
of research information, it will foster innovative collaborations and if given the opportunity, will create
collaborations with the sponsoring NIH institutes as well as public-private partnerships.

## Key facts

- **NIH application ID:** 10144733
- **Project number:** 1R13TR003552-01
- **Recipient organization:** UNIVERSITY OF MARYLAND BALTIMORE
- **Principal Investigator:** STEPHEN N. DAVIS
- **Activity code:** R13 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $25,000
- **Award type:** 1
- **Project period:** 2021-01-01 → 2022-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10144733

## Citation

> US National Institutes of Health, RePORTER application 10144733, Data Science to Power Implementation with Social Determinants of Health - from Data to Action (1R13TR003552-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10144733. Licensed CC0.

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