Modelling methods for the evaluation of complex and social effects of policies
How do political strategies and instruments work in society? How do they influence different actors? To what extent are they accepted or rejected? And why is this the case? These questions are asked by all those who work in the multifaceted field of policy consulting. Policy instruments can directly affect stakeholders in society, for example through financial incentives, bans or information campaigns. These can also trigger unintended or undesirable side effects. It is therefore highly relevant to analyse in advance how they could affect society in the future. There are a number of methods for such impact analyses. These include expert assessments or multi-criteria analyses. However, these methods only take limited account of the complex interrelationships in which policy instruments intervene. In particular, they do not adequately assess the effects on social dynamics. However, this is crucial in order to be able to assess the many possible effects, especially when policy instruments are intended to bring about highly complex dynamics of social change. In order to better understand the effects of policy instruments in these complex areas, there are approaches that have their origins in the complexity sciences. Using a spectrum of qualitative and quantitative modelling, it is possible to model complex systems for specific problems. In such system models, social factors are also integrated as complex interrelationships and related to other issues. In this way, policy instruments and their effects can be localised in complex social systems and elusive, non-linear or unconsidered interactions can be uncovered. In addition, the system models enable virtual experiments so that various drafts of policy instruments can be tested and improved in advance.
In the PoliMod project, the Leibniz Institute of Ecological Urban and Regional Development conducted the feasibility study ‘Modeling climate adaptation measures: Actors, decisions and effectiveness’ (FKZ 3721 48 104 0). The aim of this study was to analyse which modelling methods are suitable for assessing the impact of policy instruments on the actors' behaviour. In addition to comprehensive research into approaches and methods, this also included research into previous applications in the field of policy advice. Furthermore, three exemplary system models were to be created in the PoliMod project in order to explain the characteristics of the various system modelling approaches using a practical example. Finally, these findings are to be summarised in a factsheet for practical application.
The most important findings are summarised in the factsheet ‘Modelling methods for assessing complex and social impacts of policies’. This provides a graphically visualised introduction to the topic of modelling complex systems to assess the (social) impact of policy instruments for practitioners in the field of policy advice. The graphics shown below were taken from this factsheet:
When are qualitative or quantitative systems models suitable for evaluating the efficacy of policies?
A more detailed description can be found in the PoliMod final report.