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.