Project-based resource scenario planning just got real.

If you put geomatics, remote sensing, regulatory information, natural resource economics*, triple bottom line accounting, game engines, generative digital twins, and reinforcement learning in a blender and give it to some really smart people to drink, you can develop….

a) Real-world games modeling billion-dollar investment decisions.

b) AI that can play these games and identify scenarios and scenarios to maximize economic, social, and environmental benefit.

A goal is to then point these AI to identify and assess projects for carbon drawdown potential.

deals with the supply, demand, and allocation of the Earth's natural resources. One main objective of natural resource economics is to better understand the role of natural resources in the economy in order to develop more sustainable methods of managing those resources to ensure their availability for future generations. Resource economists study interactions between economic and natural systems, with the goal of developing a sustainable and efficient economy.” ( wikipedia )

Natural resource economics

(or otherwise noted as TBL or 3BL) is an accounting framework with three parts: social, environmental (or ecological) and financial. Some organizations have adopted the TBL framework to evaluate their performance in a broader perspective to create greater business value” (wikipedia)

The triple bottom line