Today’s Treatment ~ efficient data gathering has low value

Trading nations have recognized the value of services in trade treaties. But we continue to treat data – the lifeblood of services – as if the intrinsic value of data has no economic value. And we assign $0 dollar value to data produced through volunteering that is donated as labour.  Changing our thinking about this creates wide-reaching possibilities for earnings, employment, and trade:

What happens ~ when we shift what we conceive information to be?

Future of Work: Using IoT data loggers to finance volunteer costs, volunteered costs and billions of new micro-businesses. This flows from reorganizing newly-generated (wild/raw) data into six (6) phase states for accounting purposes.

Usable in every country: The method grows from a re-think about the deep root nature of information entered in an accounting ledger, not the specific laws of any nation.

Widely-useful: Universally employable by charities, societies, NGOs, governments, philanthropies, community partners, startups, going concerns; and private parties.

Nature of Work (Capital): Using IoT to gather data can work with tax law, to shift the value of Personal Capital from

(Mode A) Physical Labour (“capital”) = traded for earned Wages; and (Mode B) Service Labour (“capital”) = traded for earned Fees [many professionals (lawyers, doctors, clergy, home care-givers) use Mode B],

to include:

(Mode C) Data-Creating Labour (“capital”) = trading for earned Value, and (Mode D) Data-Creating Labour (“capital”) = trading for earned Net Tax Credit Value.

Specific Avenues

  • Adding $ billions of new services
  • Adding $ billions of trackable value to National Economic Accounts
  • Sparking the creation of entirely new markets for sensors, conservation (ecology, cultural treasures), IoT, Big Data, AI/machine-learning, finance, philanthropy, and charitable operations’ services
  • Creating earning opportunities from the data produced by individuals once Machine-Learning and Artificial Intelligence technologies fully affect the labour force (some entities forecast a 30% cut in “jobs available” to the workforce)
  • Competitive advantage by creating tax credits that reward data efficiency + energy- & value-efficient data generation
  • Competitive incentive to invest in and attract foreign investment in R&D to create efficient technologies for export
  • Competitive foreign aid and export of goods, services, and social values; including training techniques in emerging markets
  • First mover advantages:

for Networked Societies

for Profitable Energy Generation
also see: ‘Greenhouse Gas Emissions’ whitepaper [Link]

for Social Agencies & B-Corps

for Data Centres

for Metrology

for Uncertainties Design (UD)

for Capital Markets Reporting

for Whale Trader Tracking

the broadest ripples