Obiettivo Human mate preferences can provide important insight into human social and sexual relationships; however, to date research on human mate preferences are typically based on sexual selection models derived from studies of non-human species to identify candidate characteristics that may influence preferences, and then studies only assess one or two of these characteristics at a time. This is problematic as this does not reflect the multivariate nature of human mate choice in reality. To address these limitations, I propose a research project that uses data-driven approaches to identify characteristics important to human mate preferences that entirely avoids the problem of selecting candidate characteristics based on inappropriate theoretical models. I also propose using powerful new computational methods to develop the first multivariate model of human mate preferences. First, I will use state-of-the-art statistical techniques developed in evolutionary biology to identify facial, body, and personality characteristics important for human mate preferences. Once these characteristics have been identified, they will be used as input into a large, iterative, online study using a technique that simulates the effects of Darwinian evolution on preferences. This project directly addresses difficulties in the field and will develop the first multivariate model of human mate preferences that will drive future research in the field. Campo scientifico engineering and technologymaterials engineeringcolorsnatural sciencesbiological sciencesevolutionary biologynatural sciencescomputer and information sciencescomputational sciencesocial sciencespsychologysocial psychologynatural sciencesmathematicsapplied mathematicsstatistics and probability Programma(i) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Argomento(i) MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Invito a presentare proposte H2020-MSCA-IF-2015 Vedi altri progetti per questo bando Meccanismo di finanziamento MSCA-IF-EF-ST - Standard EF Coordinatore UNIVERSITY OF GLASGOW Contribution nette de l'UE € 183 454,80 Indirizzo UNIVERSITY AVENUE G12 8QQ Glasgow Regno Unito Mostra sulla mappa Regione Scotland West Central Scotland Glasgow City Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 183 454,80
