Visualize direct and indirect knowledge spillovers
Notes:
The HiGGlo tool allows you to trace the direct and indirect
knowledge spillovers from a set of initial innovations. To make
handling a potentially large number of innovations and associated
citations tractable, the tool allows to draw a sample from a larger
population as well as only displaying a random sample of the
associated citation edges. With this you can uncover
giants
- innovations that are heavily cited - and
hidden giants
- innovations that are not cited very much directly but have a
strong impact via indirect citation links.
Innovation Strategy Explorer
The Innovation Strategy Explorer is an interactive analytical tool designed to
measure and visualise innovation capabilities across technology types, countries, and UK regions.
Key Metrics
Revealed Technological Advantage (RTA)
– A symmetric measure ranging from 0–2, where values above 1 signal
comparative advantage in specific technology areas.
Average Spillovers
– Quantifies indirect and direct knowledge spillover value,
measured in millions of dollars.
Average Returns
– Estimates combined returns from R&D investments, encompassing both
private innovator returns and broader knowledge spillover benefits, expressed as percentages.
Marginal Returns
– Projects potential returns from incremental investment in specific
innovation domains, also in percentage terms.
Each technology label in the ISE Explorer maps to one or more CPC
codes. Two views below:
Defining CPC codes
— the codes that constitute the category's definition, as
configured in the classification source files in
classifications/
.
Co-tagged CPC subclasses
— the subclasses that the docdbs belonging to this category
happen to share via PATSTAT's CPC tagging, sized by the number of
patent families in each. Clicking a word opens Espacenet's CPC
browser; hover for the exact family count.
Defining CPC codes
Co-tagged CPC subclasses
Project Context
Built as part of the
PRINZ project
, this tool translates academic research on innovation economics into
accessible, decision-supporting visualisations for policymakers and analysts.