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Detecting Terrorist Activities – “Making Sense”

The EPSRC Sandpit on Detecting Terrorist Activities, started in February 2010 and led by Imperial College with ten partners, aimed to develop innovative approaches for analyzing multi-modal data related to terrorism. By addressing challenges such as data reliability, contradictions, and integration from various sources, this project focused on creating an interactive decision support system. Employing techniques from psychology, law, operations research, and machine learning, the initiative sought to summarize complicated data and visualize insights to aid in risk assessment and operational effectiveness.

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Detecting Terrorist Activities – “Making Sense”

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  1. Detecting Terrorist Activities – “Making Sense” • EPSRC Sandpit on Detecting Terrorist Activities, May 2009. • Analysis and Visualisation of multi-modal data which is: • Partial • Unreliable • Contradictory • Interactive, visualisation-based “Decision Support Assistant”. • Imperial led, 10 partners, started February 2010.

  2. “Making Sense” : Challenges • Collection • New developments in computer forensics, automatic gisting, data management and resource allocation. • Fusion and inference • Integration of data of variable sources, locating missing data, resolution of contradictions. • Analysis • Summarizing fused data, machine learning to identify relevant connections in the data. • Visualisation • From multiple perspectives both shared and operational; • Informed by the operational model(s) of data analysis, risk assessment and legal considerations.

  3. “Making Sense” : The Team • Multi-disciplinary: • Psychology • Law • Operations research • Computational linguistics • Visual analytics • Machine learning and artificial intelligence • Human computer interaction • Computer science • Approximately 300 person months over 36 months(full economic cost: £2.6m). • Links with UK-RVAC activity.

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