Project Alpha takes novel approaches to its research work including employing big data and machine learning approaches.
Project Alpha takes a data-centric approach to its research. This combined with the fact that there is a need to source and analyse data in multiple languages has resulted in Project Alpha generating a unique set of capabilities.
The Project Alpha team is drawn from two main sources: government and academia. The team is primarily composed of Senior Research Associates, Research Associates, Research Assistants, Affiliates, and Interns. The team is interdisciplinary with particular strengths in hard science, war studies and computer science. The team also has relevant language capabilities including English, French, German, Chinese, Korean and Farsi.
Alpha-POST: A key development at Project Alpha in recent years has been the development of Alpha-POST, a big data platform capable of collecting, processing and enriching all types of data relevant to the problem of non-proliferation. Development of Alpha-POST continues as new use cases are identified such as the integration of new API data sources from third party providers.
Machine Learning: Project Alpha’s increasing use of machine learning is facilitated both by its staff and by the computational capabilities to which it has access. Project Alpha presently has several staff with a computer science or coding specialism who are undertaking much of the development work in this area. Project Alpha has its own machine learning rig but also has access to a University of London High Performance Computer (i.e. supercomputer) for particularly intensive machine learning training.