Integrating Ad hoc Coalition Teams and Understanding Dynamic Audiences

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Coalition operations occur in a complex and highly dynamic socio-technical information environment. Thus, there is a need to:

Achieve rapid cognitive co-ordination amongst ad hoc Combined, Joint, Interagency, Intergovernmental and Multinational (CJIIM) Coalitions and CJIIM teams

• Efficient Collective Problem Solving: Designing effective problem solving teams using agent-based modelling.

Understand the interplay between groups and individuals and thus the potential of interventions to influence behaviour

• Modelling the Emergent Behaviour of Human Social Groups. Agent-based modelling of way in which group and individual psychological behaviours interact, give rise to effects such as prejudice and devotion to a cause, and the emergence of opposed groups.
• Effect of Organizational Structure on Cultural Influence. Modelling spread of cultural features within an organisation.
• Winning hearts and minds: Maximizing influence in social networks. Mathematics of optimal solutions under different conditions.
• Dynamic Patterns of Terrorist Networks. Changes in network behaviour in build-up to an attack.

Rapidly assess dynamically evolving behaviour of audiences in response to unfolding events, competing narratives and disinformation

• Understanding Social Networks from the Local Behaviours within the Network. Enabling analysis when only have visibility of part of network and without processing language.
• Identifying Patterns and Signatures of Negative Behaviours in Networks. Detecting the inception of negative behaviours and their network effects.
• Predicting Spread of Negative Attitudes and Behaviors in Social Networks. Graph-based methods offer improved prediction over traditional statistical approaches.
• Enhancing Situation Understanding through Negative-Ties Enhanced Pipelines. Improving AI analysis with user-knowledge.