# Emerging Technologies & Data Analytics

> **NIH NIH P30** · DARTMOUTH COLLEGE · 2020 · $149,580

## Abstract

EMERGING TECHNOLOGIES AND DATA ANALYTICS CORE- Project Summary
 Among the exciting areas of growth relevant to the development of maximally potent technology-based
interventions are the fields of emerging technologies, novel methodologies, and data analytics. This work
includes the rapidly evolving interdisciplinary areas of mobile sensing (e.g., sensors embedded in smartphones
or on wearable sensors), predictive modeling, privacy and security, user interface design, natural language
processing of discourse on social networks for social media-based interventions, and network analysis of the
functioning and impact of social networks. These emerging areas in the broader field of technology-based
interventions have been applied to a limited extent in the field of technology-based interventions for substance
use disorders (SUDs) and related areas in behavioral health.
 In this P30 Center renewal application of the Center for Technology and Behavioral Health (CTBH), we
plan to formalize growing collaborations that have emerged over the life of CTBH with an array of partners at
Dartmouth College and elsewhere specializing in mobile sensing, predictive modeling, privacy and security,
user interface design, bioinformatics, and data analysis by creating a new Core with a priority focus on
emerging technologies and data analytics. We will substantively expand existing collaborations by supporting
innovative shared educational, mentoring, and research activities across an expanded interdisciplinary team
within CTBH. To this end, we will (1) launch a new educational forum available to CTBH researchers and
members of this new Core to promote reciprocal learning on emerging technologies, data analytics and
behavioral science, (2) launch a new, publicly available webinar on emerging technologies, data analytics and
behavioral science as part of CTBH’s services as a national resource, (3) launch a new consult service on
emerging technologies and data analytics available to all CTBH researchers, and (4) support collaborative pilot
projects with affiliates of this new Core and CTBH behavioral scientists (by allocating 25% of the Pilot Core
budget to these collaborative pilots). We will also (5) support shared resources among an interdisciplinary
Center team to enhance the pace of development, and resulting potency of, technology-based interventions.
In so doing, we will create a centralized repository of shared resources central to the mission of this Core that
can be shared among all CTBH affiliates to enhance the efficiency and impact of their research efforts.
Planned shared resources (that will evolve over the life of the Center based on changing needs and priorities)
include (a) “clean server” access the ensure privacy and security of servers for hosting technology tools during
the life of a research trial, (b) shared hardware (e.g., smartphones, tablets, smartwatches), (c) shared
foundational algorithms (such as passive sensing of activity levels, sleep, or ...

## Key facts

- **NIH application ID:** 9930561
- **Project number:** 5P30DA029926-10
- **Recipient organization:** DARTMOUTH COLLEGE
- **Principal Investigator:** David Kotz
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $149,580
- **Award type:** 5
- **Project period:** — → 2021-08-14

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9930561

## Citation

> US National Institutes of Health, RePORTER application 9930561, Emerging Technologies & Data Analytics (5P30DA029926-10). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9930561. Licensed CC0.

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