Research publications, technical updates, and project output from the SafeGround team. The work behind the architecture.
SafeGround, LoRa mesh networks, and the physician's role in disaster intelligence. Early warning systems are almost universally framed as an engineering problem. They are not. They are a clinical one. The physician at the scene of a disaster is not a passive observer — they are a sensor, an analyst, and a communicator simultaneously. The question is whether the infrastructure exists to make their observations useful in time.
How convergent AI and genomic advances have transitioned biosecurity threats from "possibly plausible" to probable. The same sense-assess-classify architecture that SafeGround applies to natural disaster detection applies directly to biological threat surveillance. This article explores the intersection of AI, genomics, and early warning — and what physicians need to understand about the biosecurity landscape.
A Blueprint for Infrastructure-Independent Disaster Communications. Full technical specification of the SafeGround architecture: three-tier LoRa mesh, SENTINEL PoC hardware, AI threat intelligence layer, CAP v1.2 protocol, encryption scheme, ATAK integration, and EW4All alignment analysis. Open access.
The full SafeGround SENTINEL proof-of-concept codebase — firmware, AI intelligence layer, CAP protocol implementation, mesh routing logic, and deployment documentation — is now published on GitHub under the MIT licence. Fork it, improve it, deploy it.
Open Project
New articles and updates will appear here as the project develops. If you're a researcher, clinician, or engineer with relevant work — we'd like to hear from you.