Together with Science versus Corona we organise a workshop to assess the feasibility of ‘connecting the dots’ in a collaborative research effort to develop integrated data-driven simulations for effective social distancing in public spaces.
|Date||26 November 2020|
In response to the COVID-19 pandemic authorities across the globe take measures to slow the spread of the virus and protect vulnerable groups from contagion. Following the original lockdown measures, most jurisdictions have continued social distancing rules. Under such rules people are asked to maintain a safe distance from people outside of their own household.
In the absence of a vaccine, successful prolonged social distancing is key to controlling virus spread and thereby avoiding drastic lock-downs. Instead of focusing on compliance and enforcement, which in many countries hasn’t been very successful so far, one could also focus on: how to make it work? How to improve the safety of work environments, public locations and events? Which interventions (e.g. nudges, floor plans) are most effective in improving social distancing?
This requires an integrated data-driven approach, that combines 1) measuring and analysing social distancing behaviour in real life situations (experiments), with 2) agent-based crowd dynamics models in which individual ‘rules’ (fed by the experiments and insights from e.g. social psychology) lead to context-sensitive contact networks, and 3) epidemiological transmission models that assess the impact on the virus spread in a given situation.
|15:30-15:35||Opening by Peter Sloot|
|16:20-16:50||Plenary discussion on the integration aspects|
|16:50-17:00||Wrap-up and way forward|