Our McLuhanesque Community Contribution
First Principles (circa 2017-Q1-&-2)
Re-thinking the fundamental nature, value, and worth of newly-generated (wild/raw) data as labour for finance, accounting, and tax purposes. To create a new analysis of the relationship between data and finance for accounting purposes, and the metrology implications of this.
[Read First]: The ‘Six Phase State’ data framework calculation culminates in basic arithmetic [ (w + x) – y = z ]. [Read Second]: The ‘Tax Credits’ framework calculation similarly culminates in a simple calculation.
The question we all ask ourselves every day
Which has the most benefit – personally, for my family, my friends and neighbours, my community, and the greater good of society?
The aim of the method here is to use this question to reward volunteers with net benefit (net profit, tax credit incentive, etc.) for providing (valuable, high cost, hard-to-obtain) volunteer-gathered information – generated by their volunteered labour activities – to charities, non-profits and agencies. And as private sector donations.
We do not do this right now. But when we do it, we create far-reaching economic benefits and spin-offs — network effects and network-of-network growth effects — that touch every member of society.
Re-thinking the relationship between Data & Finance
The fundamental root process by which data gets created makes data what it is; and how we can account for it. We can measure this to extract value, including energy cost, for accounting purposes.
This grew from the observation that, for Tax and Accounting Purposes, Data is much like solar power. It must be created and captured to have utility. It is ephemeral; a renewable resource; and it is this transitory nature that lets us develop efficient budgeting, tax, data generation & management methods. We can use this transitory nature to:
– split data-generating into Expense and Real Property; and
– produce $incentives that every IoT user can desire; and
– drive creation of most-efficient, sustainable energy supply.