Joint Biosecurity Centre
Modelling the transmission of COVID-19 and simulating the impact of non-pharmaceutical interventions (NPIs).
Innovative solutions that deliver positive social impact
We design and build innovative, human-centered and artificial intelligence-driven solutions to real-world problems that deliver positive social impact.
We design and build innovative data and AI-driven solutions to real-world problems that deliver positive social impact.
Case studiesWe build and maintain innovative, free & open-source software projects for the benefit of the wider digital community.
Open source projectsWe work with schools to support the teaching of maths and coding by delivering classes that introduce AI concepts.
Community projectsWe are passionate about giving back to the community. We build and fund open-source software projects that align with our vision. We also work with schools and local councils to deliver classes and training courses that introduce AI concepts and coding in a fun, safe and engaging environment.
Learn more about the free and open-source software projects that we build and maintain for the benefit of the wider digital community.
Learn more about how we work with schools and local councils to support the teaching of mathematics, coding and artificial intelligence.
Modelling the transmission of COVID-19 and simulating the impact of non-pharmaceutical interventions (NPIs).
Building a library of cutting-edge artificial intelligence tools designed to identify and disrupt Dark Web-enabled cybercrime.
Building a common data model (CDM) to improve the governance and management of critical national data assets.
We work with schools to support the teaching of mathematics and coding by delivering project-based classes that introduce artificial intelligence concepts in a fun, safe and engaging environment. Some of our exciting projects include:
A fun and interactive introduction to both the Python programming language and basic computing concepts using programmable robots.
An introductory course to the Python 3 programming language, with a curriculum aligned to the Certified Associate in Python Programming (PCAP) examination syllabus (PCAP-31-02).
Automated parsing, and ontological & machine learning-powered semantic similarity modelling, of the Digital, Data and Technology (DDaT) profession capability framework website.