![]() ![]() ![]() ![]() Though such speculation has apparent consequences for model complicatedness that go beyond Sun et al.’s (2016) ‘Medawar zone’ for empirical ABM, there is an interpretation of this requirement for extended coverage that is also compatible with preferences for simpler models. We might speculate, then, whether in general, modelling for policy intervention means ensuring greater coverage of the wider system than might be deemed strictly necessary for the immediate policy question in hand. There was some ‘vigorous’ debate afterwards, but here we expand on an important point that came out of that debate: Modelling the effects of Covid to inform policy on managing the disease requires much more than epidemiological modelling. This talk concentrated on the harms lockdowns caused and suggested that they were unnecessary a discourse that is not the most present in the media and takes an alternative view to the idea that a scientific consensus exists in real-time and could lead to the best decision. Entitled, “ How to do wrong using Social Simulation – as a result of arrogance, laziness or ill intent.” One of the presentations (Rouchier 2023) covered the modelling used to justify lockdowns in various countries. Lessons from a session at SocSimFest 2023 By Gary Polhill and Juliette Rouchierīruce Edmonds organized a stimulating session at the SocSimFest held 15-16 March 2023. ![]()
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