Bayesian statistics and nonparametric methodsprimary
1 project
The ERC-funded NBEB-SSP project focuses on Bayesian nonparametrics, empirical Bayes, and species sampling problems with applications to reinforcement learning and differential privacy.
Organization
FONDAZIONE COLLEGIO CARLO ALBERTO
Turin-based research foundation combining Bayesian statistical methods with applied social policy on migrant integration and community wellbeing in smaller European cities.
Research institutesocietyITThin data (2/5)
H2020 projects
3
As coordinator
1
Total EC funding
€1.1M
Unique partners
35
What they do
Their core work
Collegio Carlo Alberto is a Turin-based research foundation focused on advanced statistical methods and social science research. Their work spans two distinct domains: rigorous Bayesian statistical theory (nonparametric methods, uncertainty quantification, differential privacy) and applied social policy research on immigrant integration and community cohesion in smaller European cities. They bridge mathematical foundations with real-world policy questions, particularly around inclusion and wellbeing in underserved communities.
Core expertise
What they specialise in
Immigrant integration and community cohesionprimary
1 project
Whole-COMM, which CCA coordinated, studies post-2014 migrant integration in small and medium-sized towns through multilevel governance and policy co-creation.
Inclusive health and wellbeing in smaller citiessecondary
1 project
IN-HABIT project addresses health and wellbeing in disadvantaged neighborhoods of small and medium-sized cities, where CCA contributed as a third party.
Policy learning and multilevel governanceemerging
2 projects
Both Whole-COMM and IN-HABIT involve governance and policy dimensions applied to smaller urban settings, suggesting a growing specialization in place-based policy research.
Evolution & trajectory
How they've shifted over time
Early focus
Bayesian statistical theory
Recent focus
Migrant integration and social policy
CCA's H2020 trajectory shows a striking pivot from pure mathematical research to applied social policy. Their earliest project (NBEB-SSP, 2019) is deeply technical — Bayesian nonparametrics, uncertainty quantification, and differential privacy. By 2020-2021, their focus shifted entirely to social inclusion, immigrant integration, and community wellbeing in small and medium-sized towns. This suggests the foundation is increasingly applying its quantitative expertise to pressing European social challenges.
CCA is moving toward applied social science research on inclusion and governance in smaller European communities, likely seeking to combine their statistical rigor with policy-relevant fieldwork.
Collaboration profile
How they like to work
Role: specialist_contributorReach: European14 countries collaborated
CCA operates flexibly across all consortium roles — they have coordinated one project (Whole-COMM), participated in another, and contributed as a third party in a third. With 35 unique partners across 14 countries from just 3 projects, they work in relatively large, internationally diverse consortia. This spread suggests they are well-networked and comfortable in both leadership and specialist support roles.
Despite only 3 H2020 projects, CCA has built a broad network of 35 partners across 14 countries, indicating they join large international consortia rather than tight bilateral collaborations. Their geographic reach is distinctly pan-European.
Why partner with them
What sets them apart
CCA combines deep mathematical expertise (Bayesian statistics, differential privacy) with hands-on social policy research — a rare combination in European research foundations. Their specific focus on small and medium-sized towns, rather than major urban centers, fills a gap that most migration and integration research overlooks. For consortium builders, they offer both quantitative methodological rigor and grounded understanding of place-based social dynamics.
Notable projects
Highlights from their portfolio
- NBEB-SSPERC Consolidator Grant in advanced Bayesian statistics — signals individually recognized research excellence and brings credibility to the foundation's quantitative methods.
- Whole-COMMCCA's only coordinated project (EUR 644K), studying migrant integration in small towns — represents their strategic pivot toward applied social policy leadership.
Cross-sector capabilities
Health and wellbeing policyData science and statistical methodologyDigital privacy and differential privacyUrban planning and community development
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