As part of our mission to bring cutting edge science and technology to improve the health of the communities we work with, the REACH Lab supports the development of social science focused software.
Over the last two decades, REACH Lab PIs Bilal Khan and Kirk Dombrowski
have led the development of a range of software platforms and approaches aimed at extending data collection, data modeling, and agent based simulation. We currently support three software packages including:
- Social Network Analysis from Perceptual Tomography (SNAPT)–a tablet-based data collection platform that uses “selfies” and drop-and-drag technologies to facilitate the collection of anonymous social network data among hard-to-reach populations.
- Open Dynamic Interaction Networks (ODIN) software–a cell phone-based network and responsive ecological momentary assessment (rEMA) platform that incorporates context-based question prompts and collects dynamic interaction data for health and intervention research.
- Multi-Actor Based Universal Simulation Engine (MABUSE)–a large scale network simulation platform that combines agent-based and structured actor simulation approaches to simulate pathogen spread among hard to reach populations.
Together, these technologies have allowed our team to collected better, more nuance data among difficult to reach groups, model their interactions with greater accuracy and flexibility, and simulate the result of long time periods to allow for public health planning and intervention impact.