Quite a considerable simulation is proposed. Would be difficult to do, depending on the breadth and context involved. Perhaps a realm where agent based modeling might be applied to simplify some aspects., which we aimed to do in regional models. Various predictive models could be used to drive aspects of the model. Investments are mentioned as drivers. Legal system as constraints. Risk could be included to understand aspects of events like pandemics. But all this is still hard to do accurately.
UN: Computer Simulation Tool Could Boost Global Development
Technology Review in CACM
May 29, 2020
The United Nations is backing a new computer simulation tool that could help governments boost sustainable development and address global challenges. The Policy Priority Inference (PPI) software employs agent-based modeling to predict and simulate what would happen if policymakers invested in one project rather than another, informing the simulation with economics, behavioral science, and network theory. PPI allocates funding to "bureaucrats" who spend their apportioned money on different projects, then applies data about government budgets, the historical impact of spending on past policies, the effectiveness of a country's legal system, and estimated losses due to known inefficiencies. The software then suggests which policies are most worthy of investment. The goal is to help policymakers understand the wider ramifications of their decisions. ... "
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