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STS2320 Bruno André R. C. et al.
population has access to Internet, access to Internet functions as proxy of
upper socio-economic status.
Noisy data due to linguistic idiosyncrasies may inflate results upwards. We
find little evidence of linguistic idiosyncrasies in our sample that present a
challenge in terms of performing text mining. The main linguistic challenge
that we face is with regard to Future Skills. High use frequency of relevant
keywords in everyday discussions inflates our results for this field across all
countries. However, as our key metric is an index score that we interpret in
comparative terms (ranking), we expect this drawback to have little impact on
the validity of our findings.
The revolutionary times we are living in constitute a great opportunity for
visionary leaders – policymakers, business leaders, training providers and
individuals – to realize the benefits of the fields of knowledge that will shape
the society, economy, science and the education of tomorrow. However, the
road ahead is not an easy one. Visionary leaders will need to become experts
in strategic foresight, conduct visionary exercises, engage in experimentation
and prototyping and develop flexible monitoring tools for leading and
coordinating the process of future knowledge development. Luckily, the many
new technologies that are emerging at present can help us to develop
solutions that support leaders in carrying out these new tasks. Our monitoring
approach, based on big data collected through a single Digital Intelligent
Platform, is one example of such a solution, but there are many other
technological tools and products being developed by creative individuals,
start-ups and companies that may be leveraged. All we need to do is put our
future in focus, and be open and collaborative, to build collective new
knowledge and develop our learning to acquire new skills.
References
1. PriceWaterHouseCoopers(2016)
2. OECD (2017)
3. European Commission (February 2018)
4. European Commission (2017)
5. European Commission (2018)
6. Björneborn, L. & Ingwersen, P. Scientometrics (2001) 50: 65.
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