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Good practice Imported

Oslo Science City — university-hospital-industry innovation district

Norway · Oslo · See the Norway profile · See the Oslo profile

Evidence: Descriptive / self-reported Top 76% 57/100 · Ask Evidence Copilot about this practice

Norway's first innovation district links the University of Oslo, its largest hospital and national research institutes around a shared knowledge-transfer platform — currently 7,500-8,000 researchers, up to 40,000 students and 300 startups, expanding through 2030.

7,500-8,000 researchers
Researchers in Oslo Science City (2026)
30,000-40,000 students
Students in Oslo Science City (2026)
300 companies
Startup companies in the district (2026)
more than two-thirds
Share of Norway's medical research carried out by members
100,000 m²
New life-science building floor area (due 2026)
150,000 people
Projected researchers, business developers, entrepreneurs and community members at full build-out (projection)
Oslo Science City — university-hospital-industry innovation district

Details

Maturity
Scaling
Promoter
Oslo Science City (University of Oslo, Oslo University Hospital, City of Oslo, SINTEF, Oslo Cancer Cluster)
Period
2019-present
Region (NUTS)
NO01
Keywords
Innovation district, university-industry knowledge transfer, life sciences, health tech

Context

Oslo Science City is Norway's first formally organised innovation district, launched in 2019 to knit together the country's largest concentration of research and clinical capacity: the University of Oslo, Oslo University Hospital (the largest hospital in the Nordic region), the applied-research institute SINTEF, Oslo Cancer Cluster and the City of Oslo. The district spans several campuses from Majorstuen and Blindern to Gaustad and Ullevål, and is organised around four thematic pillars — health and life sciences, climate and environment, digitalisation, and democracy and inclusion.

Activities

The initiative works as a shared platform rather than a single building: it convenes researchers, hospital staff, startups, established industry and public-sector partners through working groups, joint events and industrial partnerships, and coordinates major shared infrastructure such as a new 100,000 m² life-science building (due 2026) and expanded Oslo University Hospital facilities (due 2030).

Results

As of 2026, the district counts around 7,500-8,000 researchers, 30,000-40,000 students and roughly 300 startup companies, according to Oslo Science City's own figures and independent reporting from Nordic Life Science. The organisers project the fully built district will eventually host some 150,000 researchers, business developers, entrepreneurs and community members. More than two-thirds of Norway's medical research is carried out by Oslo Science City members.

Conclusions

Oslo Science City is a good example of a city co-designing a knowledge-transfer district around existing anchor institutions rather than building one from scratch, and of aligning capital infrastructure (new buildings) with a soft-coordination mandate (working groups, shared branding). The main caveat for other cities is evidential: most published figures are self-reported association counts rather than audited before/after impact data, and the district's flagship infrastructure is still under construction through 2030, so its knowledge-transfer results remain largely prospective.

Implementation

Indicative cost
Very high (> €5M)
Time to results
Long (> 3 years)
Staffing & skills
University of Oslo, Oslo University Hospital, SINTEF, Oslo Cancer Cluster and the City of Oslo coordinate as partner organisations through working groups., Shared branding and joint events convene researchers, hospital staff, startups, industry and public-sector partners.

Conditions for success

  • Existing large-scale anchor institutions (Norway's largest hospital, a leading university, an applied-research institute) providing critical mass.
  • Capital infrastructure investment (new life-science building, hospital expansion) aligned with a soft-coordination mandate.
  • Thematic organisation around clear pillars (health and life sciences, climate and environment, digitalisation, democracy and inclusion).

Common failure modes

  • Reliance on self-reported association/participation counts rather than audited before/after impact data (jobs, spin-off revenue, patents).
  • Flagship infrastructure not complete until 2030, so knowledge-transfer results remain largely prospective rather than demonstrated.

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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