Thuringia (DEG)

Regional Innovation Performance (2019) Strong

Total population (2019) 2,143,145

Population per km² (2017) 134

Proportion population older 65 year % 25,72%

Regional website

Thuringian ClusterManagement (ThCM)


Background


The Free State of Thuringia is a German federal state, bordered by Saxony, Saxony-Anhalt, Lower Saxony, Hesse and Bavaria. Thuringia was home to 2.16m inhabitants in 2018.

 

In the region, the RIS3 strategy highlights a number of fields of specialisation, one of which is healthy life and health industry. This Includes medical technology, pharmaceuticals, healthy ageing, nutrition industry, analytics, diagnostics and research on infections, biotechnology and biophotonics.

 

Other priorities are industrial production and systems; sustainable energy and resource use; sustainable and smart mobility and logistics; ICT and innovative services close to production, and wild cards which includes: adaptive signal analysis and neuroinformatics, textile technologies, fabLabs, internet of things and smart home.


Is the region looking for international/European/interregional collaboration opportunities? 

Yes - especially in the field of biophotonic, biobank, KI, assisted Living (ehealth), infection


Membership status


Member ICPerMed? no 

Mountain ? mix of mountain and non-mountain subregions

Member Euregha? no 

Adriatic-Ionian MacroRegion? no

InnoStars Region? no 

Northern Sparsely Populated Area (NSPA)? no

PM region according EC? yes 

Baltic Sea MacroRegion? no

S3MedTech region? yes Danube MacroRegion? no

S3P4PM region? no 

Alpine MacroRegion?

Regions4PM region? no

ERAPerMed? no 

Central Europe? yes

MedTech4Europe? no

Council of European BioRegions (CEBR)? no

1M+Genome initiative? country level member

European Regions Research & Innovation Network (ERRIN)?  yes

Vanguard Initiative?  no

S3ClusSport member?  no

Policy documents


  1. https://www.cluster-thueringen.de/en/about-us/downloads/

  2. Regional: Thuringian digital strategy  

  3. Regional: RIS3 Thuringia

  

Topics covered by policies : Medical research and innovation (-omics, biomarkers, diagnostics, etc.)

Databases and standards, linked to personalised medicine (incl. biobanks) Integrierte Biobank Jena:  https://www.uniklinikum-jena.de/ikcl/ibbj.html


NACE Personalised Medicine/Personalised Health related to Research and Innovation objectives: C.20 - Chemicals and chemical products; C.26 -   Computer, electronic and optical products; M.72 - Scientific research and  development


Scientific domain NABS Personalised  Medicine/Personalised Health related to Research and Innovation: NABS07 - Health


Policy objective Personalised   Medicine/Personalised Health related related to Research and Innovation  objectives: D.19 - Artificial intelligence, cognitive systems,   augmented and virtual reality, visualisation, simulation, gamification &   interaction technologies; D.27 - e-Health (e.g. healthy ageing); D.35 -   Robotics, autonomous and cyber physical systems (e.g. vehicles, embedded   systems); E.42 - Photonics; H.52 - New or improved service processes

Policy document (RIS3): Yes

Policy document PM@RIS3: No

Major initiatives


  1. InfectoGnostics Forschungscampus Jena e.V.  

  2. Institute for Bioprocessing and Analytical Measurement Techniques (iba)  

  3. Leibniz-Zentrum für Photonik in der Infektionsforschung (LPI)  

  4. Forschungscampus Jena e.V.  public private partnership  

  5. Zentralklinik Bad Berka  nuclear medicine

  6. Medtch4Europe 

  7. Digital Innovation Hubs:


Is the region represented in: Horizon2020; Regional Smart Specialisation Strategy Platforms/Partnerships (RIS3); EIT Health/InnoStars/Regional Innovation Scheme (RIS); other?


  1.  Using the S3 platform "European Photonic Alliance"

  2. Thuringia is also partner of the S3 platform "Medical Technology" 


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 - Very High

Rate of the need for increasing the capacity of PM skills in the region - 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

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This project has received funding from the European Union’s Horizon 

2020 research and innovation programme under grant agreement No 825046

The project is co-ordinated by Department Economy, Science and Innovation (EWI) of the Flemish Government.

Department Economy, Science and Innovation - Koning Albert II-laan 35 1030 Brussels, Belgium