There is a lot of pressure on social scientists to predict. Not only is an ability to predict implicit
in all requests to assess or optimise policy options before they are tried, but prediction is …

How one builds, checks, validates and interprets a model depends on its ‘purpose’. This is
true even if the same model is used for different purposes, which means that a model built for …

The paper argues for, and discusses, the practice of “Strong Empirical Modelling”. This
involves a shift in effort from the internals of a model towards how the model relates to …

This special issue appeared following a series of articles in RofASSS regarding the polemic
around Agent-Based Modelling (ABM) prediction (https://rofasss. org/tag/prediction-thread/). …

This special issue appeared following a series of articles in RofASSS regarding the polemic
around Agent-Based Modelling (ABM) prediction (https://rofasss. org/tag/prediction-thread/). …

In 2017, Shermer observed that in cases where moral and epistemological considerations
are deeply intertwined, it is human nature to cherry-pick the results and data that support the …

Bruce Edmonds organized a stimulating session at the SocSimFest held 15-16 March 2023.
Entitled,“How to do wrong using Social Simulation–as a result of arrogance, laziness or ill …

There is a lot of pressure on social scientists to predict. Not only is an ability to predict implicit
in all requests to assess or optimise policy options before they are tried, but prediction is …

In order to make reading easier, throughout the text I will use “agent-based simulation” as a
linguistic shortcut even though it will be clear in what follows that theoretical modelling and …

There is a lot of pressure on social scientists to predict. Not only is an ability to predict implicit
in all requests to assess or optimise policy options before they are tried, but prediction is …