In deciding which risks to take and infection preventive behaviors to adopt, individuals are influenced by their social networks and community in which they live. Social networks, the social relations in which people are embedded, affect behavior decisions and are important for wellbeing, and at the same time, social contacts also facilitate disease spread. Mostly, in mathematical models, feedbacks between preventive behaviour, social networks, and disease spread are not included, while they do have a large influence on effectiveness of interventions, because they influence adherence. The ConnectioN project will develop a novel approach to include health related decisions and social networks into infectious disease transmission models. We will provide modelling tools that can be used to improve existing mathematical models, which assess the impact of (non-pharmaceutical) interventions during a pandemic. Insights gained in the project will be used to inform policy for pandemic control.