Some commercial, some academic, some personal curiosity. Each investigates a research question over months or years, often in collaboration.
- The big AI reliability and accuracy problems cause many harms. Drawing on centuries of experience building organisations to produce reliable results from unreliable humans, we construct artificial organisations around these very unreliable AIs. I use this novel system personally, and it has commercial potential.
- I develop my Medical Snapshot System proposal in comparison with 26 other observation-only medical systems from the last 90 years. These observer-only systems typically do not deliver benefit to the individuals being observed, and this personal project seeks to improve that.
- Discovering Epidemiology is my 2026 paper funded by the UK Medical Research Council introducing the enormous field of One Health. This paper finds a new way to engage scientists from the dozens of non-health disciplines required for One Health to succeed.
- The Active Heat Exchanger (AHE) started in 2022 as an engineering project. We first found an engineering research question and then a health research question. We address the problem of houses making their occupants sick, and data problems highlighted by the COVID-19 pandemic. When commercialised this will prevent needless suffering in UK homes and generate data that doesn’t exist anywhere else.
- Since 2018 my Not Before Time project tracks applied cryptography software to see if it up to the task of connecting time to information as reliably as GPS connects position to location. I keep experimenting with systems from encryption researchers and the blockchain companies, knowing the hard bit is in governance design and matching it to human needs. In 2025 the software was sufficient, and is implemented in production. My interest is in applying it to novel commercial and human rights use cases, including observer-based health systems.
- Rule-based Epidemic Modelling and Malaria is a paper showing how rule-based techniques can be easier than differential equations in epidemiology. We model malaria in sub-Saharan Africa to get useful advice for policymakers. A collaboration with the UK MRC-funded RBEM project.
- A long time ago I produced the first practical methodology to guide organisations in escaping proprietary and US software dependencies. This is now very topical, with governments and companies worldwide trying to gain their independence from controlling software systems.
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