Trustworthy Data Integration: Machine Learning to Expose Financial Corruption

The world was taken by storm when the International Consortium of Investigative Journalists (ICIJ), along with other media bodies, released millions of documents exposing financial chicanery and political corruption. The leaks detailed how prominent people, such as Icelandic Prime Minister Sigmundur Davíð Gunnlaugsson, used offshore entities for illegal activities. Perhaps the most famous of these […]

Read More

LINK: A $1M DARPA Contract to Help Scientists Build Better Multiphysics Models

We’re pleased to announce Galois’s LINK project, part of DARPA’s Computable Models (COMPMods) program. The project aims to make it easier for scientists to build multiphysics models with an end-to-end, automatic, and portable solution.  Multiphysics models are challenging to create, customize, and reuse. One problem is the software and hardware are often outdated, which makes […]

Read More

Galois’s AMIDOL Wins $2.7M From DARPA, and Aims To Make COVID-19 Modeling Actionable In Real-Time

We wanted to update our April 2020 blog post which discussed the goal of creating open and accessible COVID 19 data models. I’m pleased to report that Galois’s Agile Metamodel Inference using Domain-specific Ontological Languages (AMIDOL) project began its third phase in May 2020. The entire AMIDOL project has been a great success. The project funding […]

Read More

Creating open and accessible COVID-19 data models

Projections based on data models for COVID-19 are serving as a critical foundation for Federal, state and local government policy makers charged with making rapid and informed decisions to fight the spread of the novel coronavirus.  Data models like the model presented by researchers at Imperial College London on March 16, which many believe led […]

Read More