IRBLleida participates in Research Night 2020 with a neurotrivia and speed dating with researchers

The Institute for Research in Biomedicine of Lleida (IRBLleida) is collaborating with the University of Lleida (UdL) on Research Night 2020. The centre's research staff have organized different activities to bring research and its protagonists closer to the public of all ages and to make research and innovation known in a fun way.

In an online edition, the IRBLleida offers activities such as 'speed dating' with researchers, in a typical 'speed dating' format. Participants have the opportunity to talk with scientists from various disciplines from the Institute for Research in Biomedicine of Lleida (IRBLleida). They will have 10 minutes to ask everyone they have ever wanted to know about biomedical research in fields such as nephrology, amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA).

For its part, the Evolutionary and Developmental Neurobiology research group at IRBLleida and the UdL has organised a Neurotrivial, to test knowledge about the brain, and different interactive online game activities to learn about the brain and neurosciences.

There will also be talks such as 'The low quality of sleep in Fibromyalgia: what can I do to sleep better', given by the researcher Carolina Climent Sanz from the GRECS group or 'How new technologies and artificial intelligence can help us to detect deterioration', also given by Carolina Climent Sanz and Helena Fernández Lago.

European Research Night is a public event dedicated to the dissemination of science that is held every year in more than 300 cities in 30 European countries at the same time. The main slogan is "Research for change", with the aim of showing how important research is for Catalan institutions in order to improve our daily lives. The GREiA research group at the University of Lleida coordinates all the activities that take place on the afternoon of 27 November.

You can consult all the activities at https://researchersnight.udl.cat/activitats/

This project receives funding from the European Union's Horizon 2020 research and innovation programmes under the EuNightCat project (954506).