
Algarve (PT15)
Regional Innovation Performance (2019) Moderate
Total population (2019) 438864
Population per km² (2017) 89
Proportion population older 65 year % 21,64%
Background
The Algarve is the southernmost region of continental Portugal, with a population of 451,000. It incorporates sixteen different municipalities. The strategic vision for the region is to "Transform the Algarve in 2020 to a dynamic, inclusive and sustainable region, capable of generating more and better jobs, produce goods and services with high added value, using innovation and scientific knowledge…."
The region will focus on, amongst others, S3 priorities in the emerging sectors of health and life sciences, with a focus on addressing social needs, such as care for older people from abroad, and rehabilitation.
Is the region looking for international/European/interregional collaboration opportunities? Yes
Membership status
Member ICPerMed? no
Mountain ? Non-mountain
Member Euregha? no
Adriatic-Ionian MacroRegion? no
InnoStars Region? no
Northern Sparsely Populated Area (NSPA)? no
PM region according EC? no
Baltic Sea MacroRegion? no
S3MedTech region? no
Danube MacroRegion? no
S3P4PM region? no
Alpine MacroRegion? no
Regions4PM region? no
S3ClusSport member? no
Central Europe? no
MedTech4Europe? no
Council of European BioRegions (CEBR)? no
1M+Genome initiative? country level member
European Regions Research & Innovation Network (ERRIN)? no
Vanguard Initiative? no
ERAPerMed? no
Policy documents
Topics covered by policies : Population genomics initiative (cfr 1 million genomes participation); Medical research and innovation (-omics, biomarkers, diagnostics, etc.); Specific disease related research; Education, training and skill development; Electronic and mobile health solutions; Value based healthcare; Public awareness, patient participation with respect to Personalised Medicine/Personalised Health
NACE Personalised Medicine/Personalised Health related to Research and Innovation objectives: J.62 - Computer programming, consultancy and related activities; O.84 - Public administration and defence; compulsory social security; Q.86 - Human health activities; Q.88 - Social work activities without accommodation; M.72 - Scientific research and development; M.74 - Other professional, scientific and technical activities
Scientific domain NABS Personalised Medicine/Personalised Health related to Research and Innovation: NABS07 - Health;NABS09 - Education; NABS121 - R&D related to Natural Sciences - financed from GUF; NABS122 - R&D related to Engineering Sciences - financed from GUF; NABS124 - R&D related to Agricultural Sciences - financed from GUF; NABS125 - R&D related to Social Sciences - financed from GUF; NABS131 - R&D related to Natural Sciences - financed from other sources than GUF; NABS132 - R&D related to Engineering Sciences - financed from other sources than GUF; NABS133 - R&D related to Medical Sciences - financed from other sources than GUF; NABS135 - R&D related to Social Sciences - financed from other sources than GUF
Policy objective Personalised Medicine/Personalised Health related related to Research and Innovation objectives: D.27 - e-Health (e.g. healthy ageing); D.28 - e-Inclusion (e.g. e-Skills, e-Learning); D.31 - Internet of Things (e.g. connected devices, sensors and actuators networks); G.46 - Ageing societies; G.49 - Public health & well-being; G.50 - Public safety & pandemics; H.52 - New or improved service processes; H.53 - New or improved service products (commodities or public services); I.57 - Social innovation with regard to education, skills & training; I.59 - Social innovation with regard to health, well-being & elder care
Major initiatives
Urban sports promotion for social inclusion, healthy and active living
Digital Innovation Hub :
Is the region represented in: Horizon2020; Regional Smart Specialisation Strategy Platforms/Partnerships (RIS3); EIT Health/InnoStars/Regional Innovation Scheme (RIS); other?
Region represented in Horizon2020;EUREKA/Eurostars/COSME
Self evaluation
General perception of the implementation level of PM in the region - Medium
Rate of the need for developing and implementing PM in the region -High
Rate of the need for increasing support/funding for PM activities in the region - High
Rate of the need for increasing the capacity of PM skills in the region - Very High
Rate of the genomics literacy of the citizens in the region - Medium
Rate of the need for increasing interregional collaboration in PM - High
Image attribution
By Rei-artur - Own work, CC BY 2.5,