The goal of integrated assessment modelling is to accommodate informed policy-making, usually in the context of climate change [2] though also in other areas of human and social development.
[10][11] Intergovernmental Panel on Climate Change (IPCC) has relied on process-based integrated assessment models to quantify mitigation scenarios.
[30] For instance, the DICE,[31] PAGE,[32] and FUND[33] models have been used by the US Interagency Working Group to calculate the social cost of carbon and its results have been used for regulatory impact analysis.
[34] This type of modelling is carried out to find the total cost of climate impacts, which are generally considered a negative externality not captured by conventional markets.
[36] It has been argued that "IAM-based analyses of climate policy create a perception of knowledge and precision that is illusory, and can fool policy-makers into thinking that the forecasts the models generate have some kind of scientific legitimacy".
They have also been used to analyze patterns of conflict, the Sustainable Development Goals,[38] trends across issue area in Africa,[39] and food security.
[42] In an October 2021 working paper, Nicholas Stern argues that existing IAMs are inherently unable to capture the economic realities of the climate crisis under its current state of rapid progress.