Gross Relational Potential (GRP): Reimagining How We Measure Value
The modern concept of Gross Domestic Product (GDP) was only invented 90 years ago by an economist called Simon Kuznets in the US, who warned against it being adopted as a measure of economic wellbeing as it had several inherent limitations, including externalising the societal and environmental costs of human activities. And yet, it was adopted at Bretton Woods in 1944 as the official metric to measure the well-being of our people. And that is now 80 years old.
Now, look at intelligence that goes back 60,000 years or 100,000 years (or even 300,000 years when humanity first emerged) on this beautiful, beautiful planet of people living in a totally different way. We might have a different frame to look at what we measure and what we even consider as impact.
We're not here to challenge the world; we're willing to take some old frames and move to new frames. But what we've inherited in more recent times, in the last 80, 10, 500 years, are these colonial empires that have made us believe you are an individual, you have to look out for yourself, and you have to always look after your own back and well-being. In that, we've created this tendency to accumulate wealth, to offset things we do so long as it's all good in my backyard.
Now we have the opportunity to look at more holistic measures of how we might look at this thing called impact. How might we look at a systemic view? How might we look at things in movement instead of things that are stuck? And how might we look at movement over time captured in real-time, brought to life through stories that have numbers in them, that have really solid grounded impact numbers that take us on a journey from the old to the new, which is where we need to get to.
Enter the Gross Relational Product (GRP), a working methodology we’re inviting researchers and economists and practitioners and nation states to come develop and implement with us.
Here’s our current thinking in draft mode.
Cultural Indicator Species
We’re also working to tie our health back to the health of other species through the work on Cultural Indicator Species, indicative of the whole network health - humans and our more-than-human kin - in partnership with our key impact partner, the Indigenous Knowledge Systems Lab at Deakin University, Melbourne.
CIS is our re-imagining of the concept of ‘Keystone Species’ to incorporate Indigenous Systems Knowledge (ISK) and Traditional Ecological Knowledge (TEK). It involves mapping symbiotic, relational land systems with humans in custodial/biological niche, alongside species that impact flows between natural systems globally and informs all human activities, and can be fractalised to map on to certain activities by certain groups, and scaled out from there to the whole.
Our work on CIS goes beyond the ecological metaphors. It is a suite of metrics for relational health, mapping the presence and strength of human relationships with Country, culture, and kin. This help us measure transformation in systems not just through data, but through the living systems within which these data sets emerge.