UNIVERSITAT DE VALENCIA

Their core work

The University of Valencia is a broad-spectrum Spanish research university with deep strength in advanced materials science, Earth observation, and computational data analysis. Their research groups synthesize functional materials (metal-organic frameworks, 2D semiconductors, molecular spin qubits), develop machine learning methods for satellite and environmental data, and study virus evolution and food safety. They bridge fundamental physics and chemistry with applied domains like agriculture monitoring, climate modelling, and public health — making them a versatile partner for consortia that need both theoretical depth and real-world application.

What they specialise in

How they've shifted over time

In the early H2020 period (2015–2018), Valencia concentrated on fundamental physics and materials — quantum plasmonics, spintronics, 2D materials, complex systems modelling, and molecular chemistry. From 2019 onward, there is a pronounced pivot toward data-driven and societal-impact research: deep learning, machine learning, climate change, virology, microbiome science, and social innovation now dominate their keyword profile. The university is clearly layering computational and AI capabilities on top of its traditional experimental strengths.

Valencia is rapidly building machine learning capacity and applying it to environmental monitoring, virology, and social challenges — expect future proposals to combine AI methods with domain science.

How they like to work

With 43 coordinated projects out of 112 (38%), Valencia frequently leads consortia rather than just participating — unusual for a university of this size. Their network of 858 unique partners across 60 countries indicates they are a genuine hub, not a repeat-partner organization. This makes them an accessible and experienced coordinator choice, comfortable managing large international teams and familiar with EU administrative requirements.

An exceptionally well-connected institution with 858 distinct consortium partners spanning 60 countries, placing it among the most networked Spanish universities in H2020. Their reach extends well beyond the EU into Latin America (EU-LAC-MUSEUMS) and global physics collaborations (KM3NeT).

What sets them apart

Valencia combines rare breadth — from quantum physics to social innovation — with a high coordination rate that most universities cannot match. Their distinctive edge is the convergence of experimental materials science with computational AI methods, allowing them to offer both the lab work and the data analysis in a single partnership. For consortium builders, they bring proven project management, a massive partner network, and the ability to contribute across multiple work packages rather than a single niche.

Highlights from their portfolio

• Vis-a-Vis
  Their largest coordinated project (EUR 1.97M) studying virus social evolution — an unusual intersection of virology and evolutionary biology with systems biology methods.
• SEDAL
  EUR 1.72M ERC-level project applying statistical learning to Earth observation data, representing their push into AI for environmental science.
• chem-fs-MOF
  EUR 1.53M coordinated project on chemically stable metal-organic frameworks — bridges fundamental chemistry with photocatalysis applications, showcasing their materials-to-applications pipeline.