University of Nottingham WinSET Debate
23
University of Nottingham WinSET Debate 3 July 2013
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 Presentation
Transcript of University of Nottingham WinSET Debate
University of Nottingham
WinSET Debate3 July 2013
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
%
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%
• 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.
Recruitment(into the subject)
Retention(in the
profession)
and
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%
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%
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
%
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%
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
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%
• 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
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
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
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
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
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
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
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
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
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
• 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
