Page 416 - Special Topic Session (STS) - Volume 4

STS2320 Bruno André R. C. et al.
To create these indices, we aggregated the raw data vertically (across
knowledge dimensions), as shown in the illustration above. We calculated
these indices separately for each of the 20 countries. Similarly, we aggregated
the data horizontally, across all four technologies for the future, in order to
create an index for each of the five knowledge dimensions (Education, RDI and
Science, Technology, Economy and Enabling Environment). In addition, in
order to portray the overall performance of each country across the four
technology readiness dimensions, we constructed the Global Technology
Readiness Index (GTRI).
For the calculation of each index, we first aggregated the raw data
(mentions and engagement) in the level of aggregation defined by the index,
and then built the index.

Future Field Readiness Indices
To construct each of the five Future Field Readiness Indices i, the score for
country j is based on the aggregation of the raw data across the five
substitutable knowledge dimensions of equal importance (k= {Education, RDI
and Science, Technology, Economy and Enabling Environment}) and
determines the performance of the country within each of the five indices.

, = ∑ ,,

Each composite Index is the result of a linear combination of two types of
social media metrics: the number of mentions and the level of engagement.

Global Technology Readiness Index
The Global Technology Readiness Index is a composite index that refers to
the four Technology Readiness Indices that are conceptually different to the
Future Skills Readiness Index. We derived the ranking of each country j by
aggregating the raw data and computing a score for all four technologies (i=
{AI, Blockchain, Biotechnology and Cybersecurity}). This form of ranking shows
that we treat the components of the GTRI as substitutable and of equal
importance. This means that, for instance, a deficit in AI can be compensated
by a surplus in Blockchain.

= ∑ ℎ ,

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