Friday | 23 Feb 2024

EMEA Advisory board member Harris Eyre provides keynote lecture at GeNeDis 2022, Greece

Harris Eyre MD PhD, Lead of the Brain Capital Alliance, Co-Lead of the OECD Neuroscience-inspired Policy Initiative and Senior Fellow for Brain Capital with the Meadows Mental Health Policy Institute was a keynote speaker at the 5th Worldwide GeNeDis Conference, focused on digital transformation in the field of neurodegenerative diseases, on 20 – 23 October in Zakynthos, Greece (

Dr Eyre’s presentation was titled “Brain capital: an instrument to boost brain performance across the Mediterranean”.

During his intervention, Dr Eyre introduced the brain capital concept, the Brain Capital Alliance and the Brain Capital Dashboard. The Brain Capital Dashboard has been developed by a team of global multidisciplinary experts and is based out of the Euro-Mediterranean Economists Association in Barcelona, Spain.

Dr Eyre covered a range of other brain capital activities in the Mediterranean including the Brain Capital Alliance Conference on Imaging and Creativity held at EMEA’s Headquarters on the 6th of July 2022, the recent NeuroSummit held at the Champalimaud Foundation in Lisbon, Portugal on the 4th and 5th of October, 2022. Eyre and colleagues will also be speaking at the United Nations Climate Change Conference COP 27 in Sharm El Sheihk, Egypt, in November of 2022.

The 5th Worldwide Conference on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2022) will be held in Zakynthos, Greece, from 20 to 23 of October 2022. For the fifth time three of the most modern and popular scientific areas are brought together in a conference, the 5th World Congress on Genetics, Geriatrics and Neurodegenerative Disease research with the title: “Digital Transformation in the field of Neurodegenerative Diseases”. Leading scientists and researchers from all over the world will discuss the recent developments in the above disciplines, ranging from research progress to their future uses. The conference was organized by the Bioinformatics and Human Electrophysiology Laboratory, (BiHELab), Department of Informatics, Ionian University, Greece