# netCanvas: Development, Hardening, and Dissemination of a Software Suite for the Collection of Complex Network and Contextual Data in HIV and Drug Research

> **NIH NIH R01** · NORTHWESTERN UNIVERSITY · 2020 · $551,369

## Abstract

Project Summary
A thorough understanding of population dynamics is vital for reducing the spread of infectious disease and for
informing disease control. This is particularly true with HIV, due to its high transmission dependence on drug
and sexual network dynamics. For stigmatized populations with large disparities in the prevalence of HIV,
structural determinants (e.g., poverty, access to care, stigma – the context surrounding the population) also
drive disease. Therefore, the collection of network and contextual data is a high priority for researchers, but
one that unfortunately poses enormous methodological challenges. In particular, the nature of this data has
introduced new complexities in data collection, processing, and storage that limits accessibility to only those
who possess the strong technical expertise and resources necessary to create bespoke solutions. Responding
to this clear need, and supported by a NIDA-funded cohort study of HIV transmission (U01 DA0369349; PI:
Mustanski; Co-I: Birkett), our team has developed a software tool (netCanvas-R) that can quickly and
accurately capture complex network and contextual data directly from participants. Utilizing an interactive
touchscreen interface, user-centered design, and modern web technologies, the collection of complex data is
simplified for both researchers and participants. Our team has received extensive interest from outside
research groups who wish to use our tool, but we lack the capacity for these custom configuration requests.
Therefore the current project builds upon our prior work to: (1) extend and harden existing capabilities and
build a standalone netCanvas software suite that is a user-friendly, generalizable, and customizable tool that
will accommodate multilevel, network, longitudinal, geospatial, contextual, and behavioral data without the
requirement of technical expertise; (2) ensure the sustainability of the netCanvas software suite through
promotional work, engagement activities, and the production of strong training materials. This project will
simplify the collection and streamline the management of complex data, thereby allowing researchers to
assess more nuanced associations between contextual factors and the spread of infectious disease, and utilize
this data in near real-time. Our team is particularly qualified to lead this work due to our history of successful
collaboration, our complementary expertise, and our plan to seek and incorporate feedback from the network,
HIV, and drug use research communities – as evidenced by our interdisciplinary Scientific Advisory Board and
two sustained test site collaborations with strong NIDA-funded HIV and drug use research portfolios.

## Key facts

- **NIH application ID:** 9899234
- **Project number:** 5R01DA042711-05
- **Recipient organization:** NORTHWESTERN UNIVERSITY
- **Principal Investigator:** Michelle Birkett
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $551,369
- **Award type:** 5
- **Project period:** 2016-07-01 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9899234

## Citation

> US National Institutes of Health, RePORTER application 9899234, netCanvas: Development, Hardening, and Dissemination of a Software Suite for the Collection of Complex Network and Contextual Data in HIV and Drug Research (5R01DA042711-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9899234. Licensed CC0.

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