The co-creation protocol developed for policing can be effectively adapted to other security-sensitive domains, such as national defense and cybersecurity, by leveraging its core principles of secure collaboration, expert elicitation, and dynamic Bayesian networks (DBNs). In national defense, the protocol can facilitate the development of predictive models for various military operations, threat assessments, and strategic planning. By engaging military experts and academic statisticians, a similar framework can be established where sensitive information remains secure while allowing for the integration of open-source intelligence and expert judgment.
In cybersecurity, the co-creation protocol can be utilized to model potential cyber threats and vulnerabilities. Cybersecurity experts can work with data scientists to create Bayesian models that predict the likelihood of cyberattacks based on historical data and emerging trends. The protocol's emphasis on maintaining confidentiality while allowing for the sharing of non-sensitive information can help in developing robust models that inform real-time decision-making in response to cyber threats.
Key elements of the protocol, such as the use of graphical models to represent complex relationships and the systematic elicitation of expert knowledge, can be adapted to these domains. Additionally, the emphasis on causal modeling ensures that the implications of interventions can be assessed, which is crucial in both national defense and cybersecurity contexts where the actions of adversaries can significantly alter outcomes.