Data science and medical analyticssecondary
1 project
HEARTBIT_4.0 applied big data, machine learning, and data mining to heart disease diagnostics using medical databases.
Organization
UNIWERSYTET EKONOMICZNY WE WROCLAWIU
Polish economics university contributing data science, socio-economic analysis, and policy research to health, energy, and circular economy consortia.
University research groupsocietyPLThin data (2/5)
H2020 projects
5
As coordinator
0
Total EC funding
€962K
Unique partners
63
What they do
Their core work
The Wrocław University of Economics and Business is a Polish university specializing in applied economics, data science, and social science research. In H2020, they contribute quantitative and qualitative research methods — from medical data analytics and machine learning to energy policy studies and circular economy assessments. Their work bridges economic analysis with technical domains, bringing statistical expertise and socio-economic evaluation to multidisciplinary consortia.
Core expertise
What they specialise in
Economic and financial data systemssecondary
1 project
EURHISFIRM focused on building high-quality historical company-level financial data infrastructure for Europe.
1 project
EC2 researches energy communities, energy citizenship, and policy recommendations through qualitative empirical and transdisciplinary methods.
1 project
CIRCULAR FOAM addresses chemical recycling, defossilisation, and alternative raw materials for end-of-life foam — their largest funded project at EUR 311K.
Science-society co-creationsecondary
1 project
SCALINGS studied how co-creation between society and science/innovation can be scaled up across different contexts.
Evolution & trajectory
How they've shifted over time
Early focus
Economic data and co-creation research
Recent focus
Applied data science and sustainability
Their early H2020 projects (2018) focused on economic data infrastructure (EURHISFIRM) and science-society integration (SCALINGS) — broadly social science and economics topics. From 2020 onward, they shifted toward applied data science in healthcare (HEARTBIT_4.0), energy policy research (EC2), and circular economy (CIRCULAR FOAM). The trajectory shows a clear move from foundational economic research toward applied, cross-disciplinary work where their quantitative and social science methods serve climate, health, and sustainability goals.
They are pivoting from pure economics toward interdisciplinary applied research in health data, energy transitions, and circular economy — expect future proposals in these areas.
Collaboration profile
How they like to work
Role: specialist_contributorReach: European14 countries collaborated
Exclusively a participant — they have never coordinated an H2020 project, always joining as a contributing partner. With 63 unique consortium partners across 14 countries, they work in large, diverse consortia rather than tight bilateral arrangements. This suggests they are a reliable, low-friction partner who delivers specialized analytical contributions without seeking project leadership overhead.
They have collaborated with 63 unique partners across 14 countries, indicating a well-distributed European network built through diverse thematic projects rather than repeat partnerships.
Why partner with them
What sets them apart
As an economics university contributing to technical and scientific consortia, they fill a specific niche: socio-economic analysis, data science methods, and policy evaluation that complement engineering and natural science partners. Their combination of quantitative skills (machine learning, big data, biostatistics) with qualitative social research (co-creation, energy citizenship, community engagement) is uncommon for a business school. For consortium builders, they offer the economic and social impact assessment component that many technical projects need but struggle to source.
Notable projects
Highlights from their portfolio
- CIRCULAR FOAMTheir largest H2020 contribution (EUR 311K), addressing plastics recycling and defossilisation — a significant step beyond their economics core into industrial sustainability.
- HEARTBIT_4.0Demonstrates their data science and machine learning capabilities applied to medical diagnostics, showing versatility beyond traditional economics.
- EC2Energy citizenship and community engagement research — positions them at the intersection of social science and the clean energy transition.
Cross-sector capabilities
healthenergyenvironmentdigital
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