The Generalitat Valenciana recognises the excellence of seven UJI research groups with Prometeo grants



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## The Generalitat Valenciana recognises the excellence of seven UJI research groups with Prometeo grants

03/10/2024 |
SCP

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The Universitat Jaume I of Castelló has raised more than four million euros in the call for excellence research groups of the Programme for the promotion of scientific research, technological development and innovation in the Valencian Community (Prometeo 2024). This figure, which makes it the third public university in the region in terms of resources, strengthens its relevant role in the Valencian university and research system.

The Generalitat Valenciana recognises the excellence of seven research groups from Castelló with the award of these grants in areas such as physics, mathematics, social sciences, materials science and technology, chemical science and technology, industrial production, civil engineering and engineering for society and psychology, with an almost balanced presence of women and men in coordination and leadership roles.

The aim of the Prometeo programme is to award grants to identify and support R&D&I groups of excellence in the Valencian Community, to promote their international projection and knowledge transfer. The grants provide stability to the activity of the research teams by providing between half a million and six hundred thousand euros for the next four years.

**AIM OF THE PROJECTS**

The projects presented by the research groups from Castelló seek to solve problems and face challenges in different areas. In social sciences, they analyse disinformation and fake news during electoral campaigns with the aim of minimising their effects, or they study our brain, specifically the atypical lateralisation of language or the mechanisms of left-handedness and some neurodevelopmental disorders.

In the field of the environment, the aim is to advance knowledge of the environmental and public health problems associated with the presence of organic micropollutants through mass spectrometry or to create tools that enable an integral and economically viable solution for generating, storing and transporting green hydrogen.

Advanced technologies (robotics and optics) are addressed with the introduction of robotic underwater intervention in the inspection, control and repair of aquaculture nets or the response to optical challenges including fields such as modern computational imaging, optoacoustic engineering or complex light modulation.

Another project will focus on machine learning (neuroimaging, artificial vision, etc.) using bio-archetype analysis (biAA), a new unsupervised statistical learning technique.

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