Separating fact from fiction
We have developed a groundbreaking mathematical solution to create the missing trust layer of decentralized systems. It facilitates communities working together, enabling anyone to independently store and share reputation without a central authority.
You can read a draft of the white paper, “Evolution of Donation and Verification” here.
The FluPhone Project
The FluPhone project was originally funded by the Economic and Social Research Council and the Medical Research Council, and is being conducted by researchers at the University of Cambridge, the University of Liverpool and the London School of Hygiene and Tropical Medicine. The aim was to bring together epidemiologists, psychologists, economists and computer scientists from seven academic institutions and governmental agencies, with the goal of developing novel and innovative methods with which to measure, understand and predict how individuals change their social behavior in response to infectious disease. Individuals may change their behavior for several reasons: through being ill themselves, having to care for others who are ill, or through changing their normal habits in the belief it will prevent or minimize their risk of infection.
The Cambridge team have generously provided the project to us for us to rebuild it for COVID-19 as open source. They remain on the team as advisors. The user spec is here.
Users will also be able to opt-in to help with ongoing research to help understand and stop COVID-19:
- Calculation of virus dynamics
- To understand mathematically how the disease is spreading
- A mathematical model for the spread of the disease
- How intervention would change the spread of disease
Communities and their members will be able to:
- Share data privately
- Track your symptoms
- Calculate likelihood of having virus
- Monitor + compare behavior
- Monitor outbreaks, location and decentralized contact tracing
- Collaborate on trials
- Monitor and calculate effectiveness of vaccines