A bit of a history lesson
Back when I started in this game there was data on:
- R&D by business, governments, universities and non-profits
- R&D personnel by same classification
- Patent data
- Publication data
....and then we would mine economic structure data to create information on trade patterns and clusters etc. This is what I have specialised in for 25 plus years. All of the data was supplied by official agencies.
But over the last three years the landscape, it seems to me, has changed dramatically. Back in the 1990s, if we looked at high technology industries (high R&D intensive activities) aerospace rolled out a new aircraft every decade or so and pharmaceuticals companies were and still are notoriously slow to move products from research to market.
IT/computers and mobile phones was thus the sexiest thing to watch - and the number of articles reflects this. Search Research Policy for these terms and any other phrase you care to think of and the results will not surprise you.
This is all very fine up until about 2008. The IPhone came out in 2007, Uber launched in 2009. The autonomous mining equipment in Australia, that I have already posted about elsewhere, really started to become a serious game changer in 2008.
Today, there is AI, block chain, big data, translation software etc etc.
I've compiled the following list.
The OECD has published this:
Source: OECD Science, Technology and Innovation Outlook 2016, OECD
What we are seeing is a revolution in technology that is changing the very structure of the economy. These are not always obvious changes. For example renewable energy is beginning to make a different and contribute to energy grids around the world. Consumers can become producers of energy in smart micro-energy based grids.
It seems that our national accounts based view of economic activity just cannot take account of what is happening.
So What do I suggest?
I think we need to focus data collection and analysis, at least for the near future, on three aspects of the thing formerly called the economy.
1. The tech itself
2. the companies
3. skills, employment and income
The tech
For decades now we have ignored the development of actual technologies, preferring instead to think of 'innovation'. The result is today while there is avalanche of stuff coming, or as Richard Florida tweeted in 2016 a series of 'nested transformations' - for the most part we are all at sea because we don't know what is going on.
So therefore, let us go back to basics and make things concrete again - let's analysis and compile technology statistics and work out how to compare them. So for example how fast are solar technology efficiency rates changing, how fast is new load capacity being added and what share of the total is this.
Autonomous cares - how fast are they being developed and as soon as they hit the road what is their share vs the installed base share - as we might call it.
etc.
The companies
I think it is clear now that the new mega technology companies are something out of science fiction - we need better data on these companies. But we also need better data on organisational platforms of the economy. I do not think this needs further justification, it is obvious.
People
The trouble we are seeing in the world with Brexit and Trump reminds us that people matter. We have been so focused on GDP and industries we have forgotten that humanity still craves a "good life". A sense of worth and value, a sense of contributing to the whole.
Take that away and there will again be mass conflict. We must return to being interested in the lives of real people.
Summary
Please stop talking about innovation and return again to focus on what changes are happening to whom and on what scale. Policy frameworks depend upon it.
No comments:
Post a Comment