Objective 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. Fields of science engineering and technologymaterials engineeringcolorsnatural sciencesbiological sciencesevolutionary biologynatural sciencescomputer and information sciencescomputational sciencesocial sciencespsychologysocial psychologynatural sciencesmathematicsapplied mathematicsstatistics and probability Programme(s) 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 Topic(s) MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Call for proposal H2020-MSCA-IF-2015 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator UNIVERSITY OF GLASGOW Net EU contribution € 183 454,80 Address UNIVERSITY AVENUE G12 8QQ Glasgow United Kingdom See on map Region Scotland West Central Scotland Glasgow City Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 183 454,80