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Laila Sprejer

Biographic Data

ID3075446
NAMELaila Sprejer
GIVEN NAMESLaila
FAMILY NAMESprejer
SIGNATURESPREJER L
AFFILIATIONSPublic Policy Programme, The Alan Turing Institute London UK
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS4
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Mind the gender gap

    Open Access•Erin Young, Erin S Young et al.•ARTICLE•New Technology Work and Employment•2023•Cited by: 4•References: 53

    The emergence of new prestigious professions in data science and artificial intelligence (AI) provide a rare opportunity to explore the gendered dynamics of technical careers as they are being formed. In this paper, we contribute to the literature on gender inequality in digital work by curating and analysing a unique cross‐country data set. We use innovative data science methodology to investigate the nature of work and skills in these under‐res…

  • Mind the gender gap

    Open Access•Erin Young, Erin S Young et al.•ARTICLE•New Technology Work and Employment•2023•Cited by: 4•References: 53

    The emergence of new prestigious professions in data science and artificial intelligence (AI) provide a rare opportunity to explore the gendered dynamics of technical careers as they are being formed. In this paper, we contribute to the literature on gender inequality in digital work by curating and analysing a unique cross‐country data set. We use innovative data science methodology to investigate the nature of work and skills in these under‐res…

  • Mind the gender gap

    Open Access•Erin Young, Erin S Young et al.•ARTICLE•New Technology Work and Employment•2023•Cited by: 4•References: 53

    The emergence of new prestigious professions in data science and artificial intelligence (AI) provide a rare opportunity to explore the gendered dynamics of technical careers as they are being formed. In this paper, we contribute to the literature on gender inequality in digital work by curating and analysing a unique cross‐country data set. We use innovative data science methodology to investigate the nature of work and skills in these under‐res…

Attrition (1 work) · Computer Science (1 work) · Data science (1 work) · Digital Games and Media (1 work) · Economics (1 work) · Elite (1 work) · Engineering (1 work) · Ethics and Social Impacts of AI (1 work) · Gender gap (1 work) · Gender inequality (1 work)

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