Integrated assessment modelling

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.

Annual greenhouse gas emissions in the various NGFS climate scenarios 2022, based on the REMIND-MAgPIE model by the Potsdam Institute for Climate Impact Research [ 12 ]