Emogan is an interdisciplinary research lead by the academics – Camilo Melis from the School of Auditing and the Center for Neuroeconomics, Faculty of Economics and Business – Martín Gutiérrez, from the School of Informatics and Telecommunications, Faculty of Engineering and Sciences – and Juan Montiel from the Center for Biomedical Research, Faculty of Medicine.
Emogan will complement our research experience in Marketing, Artificial Intelligence, and Neuroscience to construct an antagonistic generative neural network for the preference categorization of State Services and Institutions through the Affective / Emotional evaluation of its visual brand representation. Emogan seeks to position citizens’ affective/emotional perception as a central aspect in their relationship with State Services and Institutions.
