SciTransfer
Organization

FUNDACION UNIVERSIDAD DE SAN ANDRES

Argentine university contributing Latin American social science and neurolinguistic expertise to European research consortia.

University research groupsocietyARNo active H2020 projectsThin data (2/5)
H2020 projects
3
As coordinator
0
Total EC funding
€41K
Unique partners
29
What they do

Their core work

Universidad de San Andrés (UDESA) is a private Argentine university engaged in interdisciplinary social science and neuroscience research with strong international ties. Their H2020 involvement spans digital media studies, social enterprise migration research, and multilingual neurodegenerative disease detection. They contribute regional expertise from Latin America — particularly on transnational memory, cognition, and Spanish-language clinical data — to European-led research consortia. Their role is typically that of a non-EU associated partner bringing complementary geographic and linguistic perspectives.

Core expertise

What they specialise in

Neurolinguistic markers of neurodegenerationemerging
1 project

MULTI-LAND (2021-2024) focuses on multicentric language markers for early detection of neurodegenerative diseases using neuroimaging and machine learning.

Digital media and collective memorysecondary
1 project

DigitalMemories (2016-2021) examined how digital media shapes transnational memories around forced disappearance, their only directly funded project.

Social enterprise and migrationsecondary
1 project

FAB-MOVE (2016-2018) studied social enterprises supporting migrant integration across multiple countries.

Evolution & trajectory

How they've shifted over time

Early focus
Social sciences and digital media
Recent focus
Neurolinguistic disease detection

UDESA's early H2020 engagement (2016-2018) centred on social sciences — social enterprise models and digital media's role in transnational collective memory. By 2021, their focus shifted decisively toward computational neuroscience, joining the MULTI-LAND consortium on language-based biomarkers for neurodegeneration using machine learning and neuroimaging. This represents a significant pivot from qualitative social research toward data-driven clinical science.

UDESA is moving toward computational neuroscience and clinical AI, likely positioning its Spanish-language datasets as a valuable asset for multilingual health research consortia.

Collaboration profile

How they like to work

Role: third_party_expertReach: Global17 countries collaborated

UDESA has never coordinated an H2020 project, participating exclusively as a partner or third party — a typical profile for a non-EU institution contributing specialized regional expertise. Despite only three projects, they have connected with 29 unique partners across 17 countries, indicating they join large, geographically diverse consortia rather than small focused teams. This suggests they are sought out for their Latin American perspective and data access rather than driving project design.

With 29 consortium partners spread across 17 countries from just 3 projects, UDESA operates within large international networks. Their reach is genuinely global, bridging Latin American research capacity with European consortia.

Why partner with them

What sets them apart

As one of few Argentine universities in H2020, UDESA offers something most European partners cannot: direct access to Latin American populations, Spanish-language clinical and social datasets, and a Southern Hemisphere research perspective. For neurolinguistic research specifically, their ability to provide Spanish-language cognitive data from non-European populations is a distinct asset for projects requiring multicentric, cross-cultural validation.

Notable projects

Highlights from their portfolio

  • MULTI-LAND
    Combines neuroscience, linguistics, and machine learning for early detection of neurodegeneration — represents UDESA's pivot toward computational health research.
  • DigitalMemories
    UDESA's only directly funded H2020 project (EUR 40,975 via MSCA-IF), studying digital media's role in shaping transnational memory around forced disappearances in Latin America.
Cross-sector capabilities
health — neurodegenerative disease detection and cognitive assessmentdigital — machine learning applied to clinical language analysissociety — migration, collective memory, and social enterprise research
Analysis note: Profile based on only 3 projects with minimal direct funding (EUR 40,975). Two of three projects list no keywords, limiting keyword evolution analysis. The apparent pivot from social sciences to neuroscience may reflect individual researcher mobility (MSCA fellowships) rather than an institutional strategic shift. Treat expertise claims as tentative.