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MULTIPREF

A data-driven, multivariate approach to human mate preferences.

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

MULTIPREF project word cloud

Explore the words cloud of the MULTIPREF project. It provides you a very rough idea of what is the project "MULTIPREF" about.

nature entirely statistical limitations sexual biology darwinian once relationships preferences reflect social time avoids difficulties model uses selecting human online body influence mate theoretical multivariate simulates data evolutionary iterative date drive personality computational techniques technique models species inappropriate input facial candidate powerful first evolution

Project "MULTIPREF" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY OF GLASGOW Organization address address: UNIVERSITY AVENUE city: GLASGOW postcode: G12 8QQ website: www.gla.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	183˙454 €
EC max contribution	183˙454 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2015
Funding Scheme	MSCA-IF-EF-ST
Starting year	2017
Duration (year-month-day)	from 2017-01-01 to 2018-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY OF GLASGOW UNIVERSITY OF GLASGOW Organization address address: UNIVERSITY AVENUE city: GLASGOW postcode: G12 8QQ website: www.gla.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (GLASGOW)	coordinator	183˙454.00

Map

Project 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.

Publications

List of publications.
year	authors and title	journal	last update
2018	Anthony J. Lee, Lisa M. DeBruine, Benedict C. Jones Individual-specific mortality is associated with how individuals evaluate future discounting decisions published pages: 20180304, ISSN: 0962-8452, DOI: 10.1098/rspb.2018.0304	Proceedings of the Royal Society B: Biological Sciences 285/1880	2019-10-08
2017	Anthony J. Lee, Margaret J. Wright, Nicholas G. Martin, Matthew C. Keller, Brendan P. Zietsch Facial Trustworthiness is Associated with Heritable Aspects of Face Shape published pages: 351-364, ISSN: 2198-7335, DOI: 10.1007/s40750-017-0073-0	Adaptive Human Behavior and Physiology 3/4	2019-10-08
2017	Anthony J. Lee, Courtney Hibbs, Margaret J. Wright, Nicholas G. Martin, Matthew C. Keller, Brendan P. Zietsch Assessing the accuracy of perceptions of intelligence based on heritable facial features published pages: 1-8, ISSN: 0160-2896, DOI: 10.1016/j.intell.2017.06.002	Intelligence 64	2019-10-08
2019	Anthony J. Lee, Benedict C. Jones, Lisa M. DeBruine Investigating the association between mating-relevant self-concepts and mate preferences through a data-driven analysis of online personal descriptions published pages: , ISSN: 1090-5138, DOI: 10.1016/j.evolhumbehav.2019.01.005	Evolution and Human Behavior	2019-09-02

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The information about "MULTIPREF" are provided by the European Opendata Portal: CORDIS opendata.