rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Sensing human behavior using online data
  name:
    name part: Moat, Suzy
    role:
      role term: on-screen presenter.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:50:19)) : sound, colour
  abstract: Associate Professor of Behavioral Science at Warwick Business School and a fellow of the Alan Turing Institute, Suzy Moat, PhD., discusses research how knowing what people search the internet for, what people upload as photographs, and what games people play online can help get quicker estimates of crowd size, of how people move around, of how healthy people feel, and even influences on their health.
  target audience: specialized
  note: Academic, Suzy Moat PhD.
  note: Closed-captions in English.
  subject:
    topic: Behavior modification
  subject:
    topic: Online data processing
  subject:
    topic: Online social networks
    topic: Research
  subject:
    topic: Online identities
  subject:
    topic: Modification du comportement
  subject:
    topic: Systèmes en ligne
  subject:
    topic: Réseaux sociaux (Internet)
    topic: Recherche
  subject:
    topic: Identité numérique
  subject:
    topic: Behavior modification
  subject:
    topic: Online data processing
  subject:
    topic: Online identities
  classification: BF637.B4 S46 2019
  classification: 153.85
  identifier: 9781526486943
  identifier: 1526486946
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190122
    record change date: 20241105203102.3
    record identifier: in00005515720
    language of cataloging:
      language term: eng