university of nottingham winset debate
DESCRIPTION
University of Nottingham WinSET Debate. 3 July 2013. HE career progression at UK HE institutions by gender, Maths 2007/08. Data source: HESA (2008). Pipeline: Progression in physics by gender, 2007/08. Data source: HESA (2008). Why does this happen? - PowerPoint PPT PresentationTRANSCRIPT
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University of Nottingham
WinSET Debate3 July 2013
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HE career progression at UK HE institutions by gender, Maths 2007/08
Data source: HESA (2008)
0
20
40
60
80
100
50.340.6 39.2
29.522.4 26.8
20.4
4.5
49.759.4 60.8
70.577.6 73.2
79.6
96.5
WomenMen
%
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Pipeline: Progression in physics by gender, 2007/08
Data source: HESA (2008)
0
20
40
60
80
100
44.2
22.221.5789995167
23425.6992785105
49 17.320553267964
19.843967268055811.1910986035
7745.38451861453688
55.8
79.878.4210004832
76974.300721489451
82.679446732034580.1560327319
432
88.8089013964208
94.6154813854628
WomenMen%
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• 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.
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Recruitment(into the subject)
Retention(in the
profession)
and
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Pipeline: Progression in physics by gender, 2007/08
Data source: HESA (2008)
0
20
40
60
80
100
44.2
22.221.5789995167
23425.6992785105
49 17.320553267964
19.843967268055811.1910986035
7745.38451861453688
55.8
79.878.4210004832
76974.300721489451
82.679446732034580.1560327319
432
88.8089013964208
94.6154813854628
WomenMen%
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Pipeline: progression in biology by gender 2007/08
Data source: HESA (2008)
0
20
40
60
80
100
47.1 57.3
63.6420521770454
64.60299477121
52.3231172544081
50.747923657215
35.859040481572
18.0811798211218
52.942.7
36.357947822954435.3970052287
9
47.676882745592
49.2520763427844
64.1409595184274
81.9188201788779
WomenMen%
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HE career progression at UK HE institutions by gender, Maths 2007/08
Data source: HESA (2008)
0
20
40
60
80
100
50.340.6 39.2
29.522.4 26.8
20.4
4.5
49.759.4 60.8
70.577.6 73.2
79.6
96.5
WomenMen
%
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Pipeline: progression in chemistry by gender, 2007/08
Data source: HESA (2008)
0
20
40
60
80
100
45.248.4
43.738.5
30 26
146
54.8 51.656.3
61.570 74
8694
WomenMen%
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Pipeline: progression in clinical medicine by gender 2010/11
Data source: HESA (2008)
0
20
40
60
80
100
45.2
48.4
56.1 54.460.7
43.821
54.8
51.6
43.9 45.639.3
56.2
79
WomenMen
%
Chemistry data used for GCSE and A Level
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Pipeline: progression in psychology by gender, 2011/12
Data source: HESA (2008)
Undergrad Postgrad Researchers Senior Lecturers Professor0
20
40
60
80
100
79.3
74.467.6
61
28.920.7
25.632.4
39
71.1
Women%
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• 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
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Proportion permanent academic staff who are professors by age (all cost centres)
Data source: HESA (2012)
3.6%
19.4%
28.0%
1.0%
6.4%
11.1%
0%
5%
10%
15%
20%
25%
30%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (physics)
Data source: HESA (2012)
7.6%
47.6%
62.4%
4.9%
22.8%
36.2%
0%
10%
20%
30%
40%
50%
60%
70%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (chemistry)
Data source: HESA (2012)
8.6%
35.8%
48.8%
2.6%
13.1%
25.8%
0%
10%
20%
30%
40%
50%
60%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (mathematics)
Data source: HESA (2010)
6.8%
35.0%
49.6%
2.9%
12.0% 11.6%
0%
10%
20%
30%
40%
50%
60%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (mathematics: without teaching-only staff)
Data source: HESA (2012)
8.0%
39.5%
60.2%
4.5%
17.1%
27.0%
0%
10%
20%
30%
40%
50%
60%
70%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (biosciences)
Data source: HESA (2012)
4.6%
26.7%
44.1%
0.1%
9.7%
22.0%
0%5%10%15%20%25%30%35%40%45%50%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (psychology)
Data source: HESA (2012)
5.9%
17.9%
35.1%
1.4%
6.0%
14.6%
0%
5%
10%
15%
20%
25%
30%
35%
40%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (Nursing & Paramedical Studies)
Data source: HESA (2012)
2.1%
6.1%
7.9%
0.5%
2.6%
4.7%
0%1%2%3%4%5%6%7%8%9%
31-40 41-50 51-60
Age
Male Female
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Proportion permanent academic staff who are professors by age (chemical engineering)
Data source: HESA (2012)
6.4%
30.0%
55.2%
10.0%
20.1%
65.8%
0%
10%
20%
30%
40%
50%
60%
70%
31-40 41-50 51-60
Age
Male Female
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• 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