Study the genetic and epigenetic component of autoimmune diseases through multi-omics approaches to identify the molecular mechanisms driving the development of these pathologies

We are a multidisciplinary research team that explores diverse fundamental questions around wildfires and their socioecological impacts. Our current research focuses on: - Advancing carbon emission estimations from wildfires applying artificial intelligence to 3D terrestrial point clouds. - Assessment, mitigation, and modelling of post-fire soil erosion and its impact on the carbon cycle. - How changes in landscape influence wildfire risk and the provision of ecosystem services.

The group investigates the most extreme and violent events in the universe through multi-wavelength astronomical observations. It has a long track of astrophysical research on active galactic nuclei, galactic compact objects and their environments and other highly energetic and transient sources at all spectral ranges from radio up to gamma-ray energies. The group is also specialist in software development, including AI techniques, for astronomical data analysis and archives.

Alzheimer¿s disease is a multifactorial neurodegenerative disorder and the most common form of dementia. This disorder was first reported by the German physician Alois Alzheimer in 1906 in a 51-year-old patient, named Auguste Deter, who had progressive cognitive and psychosocial impairment accompanied by aphasia, disorientation, hallucinations and delusions. At necropsy, Alois Alzheimer found that Auguste Deter’s brain presented cerebral atrophy, senile plaques, neurofibrillary degeneration and arteriosclerosis of the small cerebral vessels.

Our vision extends to understanding the evolution and management of Mediterranean agricultural and forest landscapes and devising tools for phenotypic characterization and the monitoring of the physiological status of plants.

The active geological processes that are addressed by the members of the group include phenomena of land subsidence, seismicity, landslides and rock falls, volcanism, as well as others related to hydrogeology such as droughts and overexploitation of aquifers. To study its impact, we develop and optimize mathematical tools such as: numerical models based on physical and/or chemical processes; spatiotemporal statistical models; artificial intelligence techniques, in particular machine learning algorithms.

The main objective of the group is to provide society with scientific information, methods, tools and solutions to mitigate the impact of geological hazards. Among the geological hazards that GI INGEORISK incorporates into its lines of research are the following: landslides, earthquakes, tsunamis, land subsidence, volcanic eruptions, floods and the interrelation between the different phenomena.