UNIVERSITE PARIS DAUPHINE

Their core work

Université Paris Dauphine is a French research university specializing in applied mathematics, statistics, economics, and decision sciences. In H2020, they contribute advanced mathematical modeling and statistical methods — particularly Bayesian nonparametrics and high-dimensional inference — to interdisciplinary projects spanning health economics, energy market design, and population studies. They are a key academic partner in the SHARE pan-European survey infrastructure studying ageing, health, and retirement across EU member states.

What they specialise in

How they've shifted over time

Dauphine's early H2020 engagement (2015-2016) centered on pure mathematics and participation in broad research infrastructure (SHARE-DEV3, EinsteinVRH, GEO-SAFE). From 2018 onward, their work became more applied and interdisciplinary — energy market design (OSMOSE), large-scale Bayesian theory (GTBB as coordinator), and COVID-19 impact research through the SHARE network. The shift suggests a deliberate move from foundational mathematics toward applying quantitative methods to societal challenges like energy transition and population health.

Dauphine is increasingly applying its quantitative strengths to policy-relevant domains — energy markets, pandemic impacts, and ageing — making them a strong partner for data-intensive societal research.

How they like to work

Dauphine operates primarily as a specialist academic partner (4 participant roles, 2 third-party contributions) rather than a consortium leader, though they do coordinate when the project aligns with their core mathematical expertise (GTBB, EinsteinVRH). With 91 unique partners across 19 countries, they integrate into large, diverse consortia — the SHARE network alone spans all EU member states. This makes them an accessible, well-networked partner comfortable in both large infrastructure projects and focused research teams.

Dauphine has collaborated with 91 unique partners across 19 countries, reflecting strong pan-European reach driven largely by the SHARE survey network. Their partnerships span academic institutions, health research bodies, and energy sector actors.

What sets them apart

Dauphine's distinctive value lies at the intersection of advanced mathematical statistics and real-world policy applications. Unlike typical engineering or natural science faculties, they bring rigorous quantitative methodology — Bayesian inference, decision theory, optimization — to domains like energy markets and population health. For consortium builders, this means a partner who can handle the heavy statistical modeling that many projects need but few partners can provide at this level.

Highlights from their portfolio

• GTBB
  ERC Advanced Grant (EUR 588,750) coordinated by Dauphine — their largest and most prestigious project, developing foundational Bayesian theory for complex models.
• SHARE-COVID19
  Rapid-response project studying non-intended health, economic, and social effects of COVID-19 decisions across Europe using the established SHARE survey infrastructure.
• OSMOSE
  Applied Dauphine's optimization expertise to a concrete energy transition challenge — designing flexibility solutions for European electricity systems (EUR 428,860).