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BEGIN:VEVENT
DTSTAMP:20260429T090827Z
DTSTART;VALUE=DATE-TIME:20250606T133000
DTEND;VALUE=DATE-TIME:20250606T144500
SUMMARY:Remembering Older Women on Screen with AI - Research Seminar with
  Jo Garde-Hansen and Tanaya Guha
TZID:Europe/London
UID:20250606-8ac672c49730a975019731137845028c@warwick.ac.uk
CREATED:20250602T143729Z
DESCRIPTION:6 June 13:30-14:45 FAB 1.01 Recuperating\, remembering and re
 porting on older women on screen at scale with an inclusive and interdis
 ciplinary methodology requires significant integration of human-centred 
 histories and memories of film and TV with machine learning. Ten years a
 go\, researchers at USC Viterbi School of Engineering led a project with
  USC Annenberg (Communication Sciences)\, Google LA and the Geena Davis 
 Institute on Gender in Media and SeeJane. They were coding film characte
 rs and developing an automated machine learning approach to gender and t
 ime on screen. Tanaya Guha brought that research to ÌÇÐÄTV and with Joa
 nne Garde-Hansen explored more deeply gender and age on screen. Guha (no
 w at Glasgow) and Garde-Hansen (now at Leeds) joined with Sanjay Sharma 
 (ÌÇÐÄTV)\, secured Leverhulme funding for the Women\, Ageing and Machin
 e Learning on Screen project (2024-2027). Close readings of women and ag
 e in media texts are a defining feature of the field of study (Dolan 201
 2\, Gorton and Garde-Hansen 2013\, Richardson 2018). Critical approaches
  to media archive technologies (Parikka 2013)\, data justice and feminis
 m (see D’Ignazio and Klein) and machine learning for social and cultural
  memory (Merrill 2023) all intersect in this research in ways we will di
 scuss. In this seminar\, we present the underlying basis and questions o
 f our research from an arts\, social sciences and computing collaboratio
 n that seeks to analyse media texts at scale and report back to audience
 s and industry. Gender and ageing on screen\, film and TV archetypes\, g
 enres and face recognition models drawn from ready-made training data wi
 ll be explored\, in terms of HOW we have approached the problem in this 
 first year of the research programme. Why is such a ‘way of seeing’ wome
 n’s age on screen useful? What does screen ageing look like for film and
  TV scholars and what does it look like to machine learning? How does th
 is research afford ‘ways of speaking’ to the film and TV industry by unl
 ocking new ways of generating data\, and what does it say about remember
 ing older women on screen through the ‘calculation’ alongside the ‘cultu
 re’ of ageing?
LOCATION:FAB 1.01
URL:
ATTACH:
CATEGORIES:Research Centre (Social Theory Centre)
LAST-MODIFIED:20250602T143729Z
ORGANIZER;CN=Joanne Elliott:
END:VEVENT
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