VYSOKA SKOLA EKONOMICKA V PRAZE

Their core work

VSE (Prague University of Economics and Business) is one of the largest economics-focused universities in Central Europe, with a strong applied research tradition in quantitative methods, data analysis, and public sector economics. In H2020, they contributed analytical and data science capabilities to two distinctly different projects — first in public financial transparency, then in medical data analytics — suggesting a data-agnostic applied statistics competency that travels across domains. Their HEARTBIT_4.0 participation, despite being an economics institution, points to a faculty or research group specialised in biostatistics, data mining, and machine learning applied to structured databases. For consortium builders, VSE brings rigorous quantitative analysis and the ability to work across disciplinary boundaries.

What they specialise in

How they've shifted over time

In their first H2020 project (2015-2017), VSE contributed to public sector financial transparency — a natural fit for an economics university. By 2020-2022, their focus had shifted markedly toward medical data science, applying big data and machine learning techniques to heart disease datasets, with no apparent connection to economics. This shift suggests a data science faculty group within VSE that is capable of repositioning its quantitative methods across entirely different application domains, rather than deepening any single domain.

VSE appears to be moving away from its economics core toward data science as a standalone research identity, making them a potential partner for any project requiring applied statistics, data mining, or machine learning — regardless of sector.

How they like to work

VSE has participated exclusively as a consortium partner across both projects and has never taken a coordinating role in H2020, suggesting they prefer specialist contribution over project leadership. With 12 unique partners across only 2 projects, they work in reasonably sized consortia (averaging 6 partners per project) and show no signs of a closed network. Their willingness to join both a governance/transparency project and a health data project with different consortia indicates they are open to new partnerships.

VSE has collaborated with 12 unique partners across 7 countries in just two projects, suggesting diverse and non-overlapping consortium connections. No single partner country dominates, pointing to a genuinely European-spread network rather than a bilateral preference.

What sets them apart

VSE is unusual among economics universities in that it has demonstrated capacity to contribute to health and medical data projects, not just economics or governance work. This cross-domain analytical flexibility — grounded in biostatistics and machine learning — makes them relevant to health-tech consortia that need a quantitative academic partner without a clinical profile. For a Czech consortium, they also bring one of the country's largest economics faculties and a Central European academic network.

Highlights from their portfolio

• HEARTBIT_4.0
  Remarkable for an economics university — VSE applied data mining and machine learning to cardiac medical databases, demonstrating a cross-disciplinary data science capability rarely seen in business schools.
• OpenBudgets.eu
  Largest funded project (EUR 295,755) and an Innovation Action on fiscal transparency, aligning directly with VSE's core economics identity and public sector research tradition.