A Scalable and Automated Tool to Analyze and Identify Dual Use Research of Concern from Scientific Publications: SAT-DURC

Intelligent Automation, Inc. (IAI), along with our collaborators, has successfully conducted a proof-of-concept study for a Scalable and Automated Tool to Analyze and Identify Dual Use Research of Concern from Scientific Publications: SAT-DURC. The key innovation of our proposed approach is a novel DURC identification system that combines the strength of natural language processing with machine learning, leverages the domain knowledge of subject matter experts and provides a user friendly interface. In Phase I, we have achieved satisfactory preliminary results for DURC identification of one bio-agent and one experimental category by applying advanced deep learning and Natural Language Processing based algorithms. The focus of the Phase II project will be to acquire a large dataset, enhance and extend the algorithms developed in Phase I to all 15 bio-agents and 7 experimental categories with the same level or better DURC identification accuracy, evaluate the algorithms with the large dataset, develop a user-friendly SAT-DURC software tool, and work with our commercial partners to transition this technology.