Accelerating the adoption and development of privacy-enhancing technologies (PETs): Forecasting to bolster pandemic response capabilities
We are excited to support the recently announced UK-US PET Prize Challenge. The White House press release with more information is here.
Our team has developed realistic synthetic data sets to support the development of end-to-end privacy-preserving federated learning methods for pandemic science. Using population data from sources such as the US Census, we formed synthetic populations - one for the UK and one for Virginia, US. We then built contact networks on top of actual and modeled mobility data to produce synthetic social contact networks, and used our expertise to model disease dynamics and create synthetic outbreaks.
Learn more here.
As SARS-CoV2 rapidly spread across the world, we were ready to serve as a resource for local, state, and federal pandemic response efforts. You’ll find our current pandemic-related publications here.
We have developed several decision support tools and dashboards to help healthcare providers and the general public to better evaluate the status of the epidemic. We have curated data from multiple sources to support these dashboards; these collated datasets can be used to extend global and detailed perspectives of the confirmed cases. You can see all of our dashboards here.
Additionally, we use several modeling platforms to account for various levels of complexity in our modeling efforts. You can learn more about these platforms here.
We are very excited to provide real-time pandemic response resources for policymakers at all levels of government.
For more on why modeling is a useful tool for epidemic research, see this article.