The Science(s) of the Face is the 3rd webinar series autumn 2021 held by Marco Viola, University of Turin, FACETS Post-Doc Researcher.

20th Sept – 22nd Nov 2021:

· Sep 20 – Sebastian KORB (University of Essex) | https://bit.ly/3zm3vX2
Facial emotion recognition. Effects of proprioceptive feedback, invariant face features, and religious/cultural context

· Sep 27 – Isabella POGGI (RomaTre University) | https://bit.ly/3kqmtW3
The richness of gaze communication

· Oct 4 – Maria Ida GOBBINI (University of Bologna) | https://bit.ly/3DjGeqW
The importance of familiarity for investigating the neural mechanisms for face recognition

· Oct 11 – Katharina DOBS (University of Giessen) | https://bit.ly/3B8p3qE
A computational approach to understanding human face perception – NB! POSTPONED to 29 November

· Oct 18 – Benjamin BALAS (North Dakota State University) | https://bit.ly/38dwJLW
Natural and artificial faces perception

· Oct 25 – Fausto CARUANA (CNR Parma) | https://bit.ly/3DiIO0s
Two simulation systems in the human frontal cortex. Disentangling between motor simulation and emotional mirroring using laughter

· Nov 8 – Eilidh NOYES (University of Huddersfield) | https://bit.ly/3sKRjN2
Super-recognizers, forensic face examiners, and computer algorithms in face recognition

· Nov 15 – Bridget WALLER (Nottingham Trent University) | https://bit.ly/3ziObdF
Individual differences in facial expressivity

· Nov 22 – Antonio OLIVERA-LA ROSA (Universidad Católica Luis Amigó) | https://bit.ly/38emx5E
Face impressions in dating apps

· Nov 29 – Katharina DOBS (University of Giessen) | https://bit.ly/3B8p3qE
A computational approach to understanding human face perception

An interdisciplinary webinar series aimed at investigating the face. Attendance is free, no registration required.
Password: FACETS
For information, please write to marco.viola@unito.it
YouTube: http://www.youtube.com/c/FacetsERC – Website: http://www.facets-erc.eu

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 819649 – FACETS, PI Massimo LEONE)