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University of Nottingham WinSET Debate

University of Nottingham WinSET Debate

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University of Nottingham WinSET Debate

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  1. University of NottinghamWinSET Debate 3 July 2013

  2. HE career progression at UK HE institutions by gender, Maths 2007/08 Data source: HESA (2008)

  3. Pipeline: Progression in physics by gender, 2007/08 Data source: HESA (2008)

  4. Why does this happen? • If girls don’t want to do A level Physics then it’s not the fault of universities. • If women don’t like engineering then why worry about it? Surely it’s better to focus our efforts on those who are committed to engineering.

  5. and Recruitment (into the subject) Retention (in the profession)

  6. Pipeline: Progression in physics by gender, 2007/08 Data source: HESA (2008)

  7. Pipeline: progression in biology by gender 2007/08 Data source: HESA (2008)

  8. HE career progression at UK HE institutions by gender, Maths 2007/08 Data source: HESA (2008)

  9. Pipeline: progression in chemistry by gender, 2007/08 Data source: HESA (2008)

  10. Pipeline: progression in clinical medicine by gender 2010/11 Chemistry data used for GCSE and A Level Data source: HESA (2008)

  11. Pipeline: progression in psychology by gender, 2011/12 Data source: HESA (2008)

  12. Perhaps the so-called “leaky pipeline” is just a reflection of times when smaller proportion of women read science • Perhaps women just choose to leave academia

  13. Proportion permanent academic staff who are professors by age (all cost centres) Data source: HESA (2012)

  14. Proportion permanent academic staff who are professors by age (physics) Data source: HESA (2012)

  15. Proportion permanent academic staff who are professors by age (chemistry) Data source: HESA (2012)

  16. Proportion permanent academic staff who are professors by age (mathematics) Data source: HESA (2010)

  17. Proportion permanent academic staff who are professors by age (mathematics: without teaching-only staff) Data source: HESA (2012)

  18. Proportion permanent academic staff who are professors by age (biosciences) Data source: HESA (2012)

  19. Proportion permanent academic staff who are professors by age (psychology) Data source: HESA (2012)

  20. Proportion permanent academic staff who are professors by age (Nursing & Paramedical Studies) Data source: HESA (2012)

  21. Proportion permanent academic staff who are professors by age (chemical engineering) Data source: HESA (2012)

  22. In every subject bar one, men are more likely to be professors than women, often significantly so • The biggest disparities are in materials, physics and mathematics • If you are male and want to be a professor, study physics • If you are female and want to be a professor, study chemical engineering

  23. Thank you Sean McWhinnie Tel: 01235 439188 Email: sean.mcwhinnie@oxfordresearchandpolicy.co.uk