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The Future of Data Integration: Digital Twins and Whole-System Thinking

Until you can see the whole picture, ie, see the forest instead of the trees, the so-called expert opinions are at best disjointed, siloed, and tunnel-visionary based. This is nobody’s fault. This is just how we were and are trained. There are not many experts out there who can see the whole, mostly in parts, including from the so-called Big Five Consulting firms and the United Nations.

I think digital twins can help to a certain extent of course, as we still need to gather all these analytical and predictive mathematics, formulae, algorithms, and models which in themselves could be incomplete and not whole-system in character. This mathematics, formula, etc., could be based on old worldviews, thinking, and unproven science, continuously embracing the ill and non-standardized definitions and maxims such as sustainable development, net-zero, EIA, and continuously worshipping the classical economic theories and capitalism-based growth. But at least all the necessary data can now be gathered whole-systemically and rather more efficiently and, better still, real-time. Digital twin technology, if employed correctly, can help close the data gaps and elevate our appreciation of why the whole-system approach is the only way forward if we want to get things done right, accurate knowledge, data, and information-based. Hopefully, we can now choose the kind of prosperity and growth we want. With data generated and provided by digital twinning, we can now bring to the fore life-cycle assessment, trade-off analysis, and putting true price on Nature as we continue our economic growth journey.

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