News Release

UC3M unveils new neuroscience knowledge map

R&D to foster innovation in this area

Business Announcement

Universidad Carlos III de Madrid

Designed as a tool to showcase UC3M’s research potential in this critical area for the future, the map was developed by the University's Entrepreneurship and Innovation Support Service (SEI). “It not only enhances our understanding of how the human brain works but also fuels progress in health, artificial intelligence, and emerging technologies with transformative impact on society,” SEI representatives explained.

The document includes 16 detailed fact sheets outlining the research lines, projects, expertise, and capabilities of R&D groups across diverse disciplines, including law, economics, humanities, and engineering.

Engineering represents the largest section, featuring research groups in bioengineering, computer science, thermal and fluid systems, control systems and automation, continuum mechanics and structural theory, electronic technology, and signal theory and communications. Reflecting the multidisciplinary nature of the initiative, the map also includes groups specializing in economics, statistics, law, and humanities—such as philosophy, language, and literature—as well as a laboratory focused on biomechanics and multifunctional structures.

“The accumulated knowledge, our track record of industry collaboration, in-house laboratory infrastructure, and above all, the multidisciplinary approach that defines UC3M, position us as a strategic partner for driving innovation in institutions, large corporations, and SMEs,” SEI noted.

UC3M’s R&D maps are designed to communicate the University’s scientific capabilities for innovation across various market sectors and to support societal challenges. They also serve as a resource for researchers and businesses looking to build synergies with the University. The data presented in the maps is sourced from regularly updated internal databases.

This map was developed as part of the Innovation Liaison Entities project (Ref.: OI2022-UC3M), co-funded by the Community of Madrid and the European Regional Development Fund (ERDF).

More information:

UC3M R&D&I Maps
https://www.uc3m.es/innovation/innovation/rdi-maps 
 


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