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FAMP NASTASEANU Ariana
CCASP SMART SPECIALIZATION STRATEGIES AND EMPOWERING CITIZENS

? Supporter, e.g. to support the development of partners (e.g. firms, universities, users), the

systematic collection and utilisation of user information and the knowledge and capability
development related to the smart specialization, to promote the empowerment of citizens and to
assist citizens in their innovation activities

? Developer, e.g. to utilise user-oriented development methods in the internal development work
public sector

? Marketer, e.g. to raise awareness of user-oriented innovation models and practices among
citizens, businesses and public sector

? Quality controller, e.g. to support the development of ‘quality checks’ or standards for smart
specialization type of activities and for other co-creation environments and to assess the quality
of activities by means of these standards.

If we extrapolate the example of the Co-location centres of the KICs, this one will become the enabler,
offering the physical place for meetings, facilitating debates, organizing events, etc. The local authorities
(ministries, managing authorities) should lead the dialogue between the representatives of the higher

education organizations and industry/business sectors in order to facilitate the identification of the offer PROCEEDINGS OF THE 11 TH ADMINISTRATION AND PUBLIC MANAGEMENT INTERNATIONAL CONFERENCE ”Strategic Management for Local Communities” 30 th – 31 st October 2015 Bucharest
and demand for the human capital. The latest represent the supporters and the end-users.

The focus on impact and more precisely the measurement of expected impact, re-adjustment of the policy

measures must increase the level of acceptance of the public policy (ies). In terms of economic impact,
beyond the growth the performance indicators should take into account the improved skills and the

entrepreneurial appetite for assuming risks.

Relative indices can be computed for scientific and economic specialisations. The former are often based
on publication numbers per science domain, while the latter can use a variety of data types, including

number of employees, number of newly established enterprises, Gross Domestic Product, and export
data per economic sector. Significant progress has been achieved through different tools available at
regional level, allowing internationally comparable economic data.

By comparing specialisation indicators over time, changes in scientific, technological or economic
specialisations can be analysed. Interesting insights can also result from studying relations between
scientific, technological and economic specialisations, which can be mapped using conversion tables (see

for example Callaert et al., 2014).

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