WIMSIG Resources

Harvard Implicit Association Test

This website presents a method that demonstrates unconscious bias much more convincingly than has been possible with previous methods. This new method is called the Implicit Association Test (or IAT for short). It is used, in particular, by the UK Royal Society to help identify unconscious bias as part of its efforts to ensure fairness in all its ranking/selection procedures, including election of new fellows.

The test includes a 'gender' component, which takes around 10 minutes to complete. After some initial questions, the test involves quickly answering questions by single key strokes. Your results are returned to you, and then information is provided on how your responses compare to the average responses of others taking that test.

WIMSIG Articles and Submissions

• WIMSIG Annual Report 2017 (PDF, 163KB)
• WIMSIG Annual Report 2016 (PDF, 1.1MB)
• WIMSIG Annual Report 2015 (PDF, 209KB)
• WIMSIG Two Years On: 2013-2015, Report by the inaugural Chair of WIMSIG, Asha Rao - Sept 2015
• WIMSIG's submission to the AMSI Workshop Program Review
  - April 2015
• WIMSIG Annual Report 2014 (PDF, 96KB)
• WIMSIG Annual Report 2012-2013 (PDF, 80KB)
• WIMSIG's submission for the Decadal Plan for the Mathematical Sciences - April 2013

Women in Mathematics Posters

• https://www.maa.org/sites/default/files/pdf/pubs/posterW.pdf
  • This "Women of Mathematics" poster, produced by the Mathematical Association of America, shows 32 distinguished women mathematicians (including Hanna Neumann), from historical and modern times. It works well to display it near the well-known "Men of Modern Mathematics" poster produced by IBM.
• http://www.ams.org/women-mathematicians
  • This poster, produced by the American Mathematical Society, shows nine distinguished women mathematicians.
• https://cms.math.ca/Women/women.pdf
  • This poster shows six women who have won the Canadian Mathematical Society’s Krieger-Nelson Prize.

Articles, Webpages and Videos of Interest

• A Tribute to Maryam Mirzakhani - American Mathematical Society
• Remembering Maryam Mirzakhani, AMS Blogs - July 24, 2017
• Women limited by interruptions in Australian Senate estimates hearings: researcher, ABC Online - Nov 24, 2016
• Australia’s STEM Workforce – Full report (Office of the Chief Scientist), Krisztian Baranyai, Jennifer Bowles, Samira Hassan, Roslyn Prinsley, Phillippa Smith, Chris Walter - March 2016
• Girls from progressive societies do better at math, study finds, EurekAlert! - May 13, 2016
• The Odds That a Panel Would 'Randomly' Be All Men Are Astronomical, The Atlantic - Oct 20, 2015
• Emilie du Chatelet: the woman science forgot, Robyn Arianrhod, Cosmos - Oct 5, 2015
• What it’s like to be a woman working in science, and how to make it better, The Conversation - Sept 16, 2015
• Half of Australian universities sign up to SAGE gender-equity program, The Sydney Morning Herald - Sept 16, 2015
• What it's like to be a woman working in science, and how to make it better, The Conversation - Sept 16, 2015
• Statistics gathered by European Women in Mathematics
• Who said girls aren't interested in maths?, Lily Serna, ABC Science - April 2015
• Young Australian maths whizzes battle for chance to take on world's smartest, Bill Birtles, ABC News Online - April 2015
• Talk by Dr Lynne Walling (Reader and Head of Pure Mathematics at University of Bristol): Women and Men: Ambition in an ambivalent society - March 18, 2015
• Open letter to all European, and in particular French female mathematicians, Ilka Agricola (Philipps-Universität Marburg) - March 4, 2015
• Why are women leaving the tech industry in droves?, LA Times - Feb 2015
• How Nations Fare in PhDs by Sex, Scientific American
  Sept 16, 2014
• Women in science and maths denounce stereotyping in Libra tampon ad, The Australian - August 27, 2014
• Attending conferences with small children, Matilde Lalin,
  Guest post on Terry Tao's What's New blog - August 20, 2014
• A Tenacious Explorer of Abstract Surfaces - an article about the first woman Fields Medallist, Maryam Mirzakhani (August 2014)
• AMSI Media Release: Dealing with Australia's mathematical deficit - June 2014
• Social Engagement Shapes a Mathematical Career
  Manil Suri, SIAM News - March 2014
• Innovative toys for girls by GoldieBlox
• European Women in Mathematics videos (August 2009): http://www.youtube.com/user/ewmath2009/videos
• Useful book: Why So Slow? The Advancement of Women, by Virgina Valian: http://mitpress.mit.edu/books/why-so-slow
• Useful and amusing book: Ms Mentor's Impeccable Guide for Women in Academia, by Emily Toth: http://www.upenn.edu/pennpress/book/14536.html
• LMS Women in Maths Committee's Good Practice Scheme: http://www.lms.ac.uk/women/good-practice-scheme
• Grandma Got STEM: http://ggstem.wordpress.com/

Articles on Gender Bias/Equity in the Sciences

• If There’s Only One Woman in Your Candidate Pool, There’s Statistically No Chance She’ll Be Hired, Stefanie K. Johnson, David R. Hekman, Elsa T. Chan, Harvard Business Review - April 26, 2016
• If we really want an ideas boom, we need more women at the top tiers of science, Tanya Monro, Emma Johnston, Nalini Joshi, The Conversation - April 1, 2016
• Gender Bias at Work Turns Up in Feedback: Research suggests women are assessed differently, affecting their advancement, The Wall Street Journal - Sept 30, 2015
• Women Working in Statistics - What Has Changed Over the Last Decade?, Dalene Stangl, AMSTATNEWS - Sept 1, 2015
• Teachers' gender bias in maths affects girls later, Sue Wilson, The Conversation - Feb 25, 2015
• Addressing the underrepresentation of women in mathematics conferences, Greg Martin, Feb 2015
• An annotated bibliography of work related to gender in science, Greg Martin, Feb 2015
• Rate my professor’s gender?, Alison Bartlett, The Conversation - Feb 10, 2015
• Engaging more women and girls in mathematics and STEM fields: The international evidence, Kelly Roberts, Report for AMSI -
  May 2014
• Study: Women heavily discriminated against in math hiring
  gnomes national news service (Chicago, Illinois), 2014
• Why is the government cutting back gender reporting rules?
  Melinda Oliver, Women's Agenda - February 2014
• 'Women’s issues’ skew the science careers debate
  The Conversation - August 2013
• Women’s contribution to science goes unheard
  The Conversation - June 2013
• STEM: Country comparisons, S. Marginson, R. Tytler, B. Freeman, and K. Roberts, Report for the Australian Council of Learned Academies (ACOLA) - May 2013
• AAS: New guidelines for gender equity in science - March 2013
• Maths & Science Combinations NSW HSC 2001–2011
  J. Mack, B. Walsh, February 2013
• Not Lack of Ability but More Choice Individual and Gender Differences in Choice of Careers in Science, Technology, Engineering, and Mathematics - M.-T. Wang, J. S. Eccles,
  S. Kenny, Psychological Science 24 (2013), 770-775
• Science faculty's subtle gender bias favors male students
  C.A. Moss-Racusin et al., Proceedings of the National Academy of Sciences of the USA, 2012
• WiSEsummit info (PDF, 485 KB) - April 2011
• Outcomes of the WiSEsummit (PDF, 3.0 MB) - 2011
• Gender equity in the professoriate: A cohort study of new women professors in Australia - C.M. Diezmann, S.J. Grieshaber, 33rd HERDSA Annual International Conference, July 6-9, 2010
• Gender Equity Strategy 2010-2015 at Monash University
• AAUW Report: Why So Few? Women in Science, Technology, Engineering, and Mathematics - February 2010
• FASTS report on Women in Science in Australia
  Sharon Bell, October 2009
• Double-blind peer review and gender publication bias
  L. Engqvist and J. Frommen, Animal Behaviour 76 (2008), e1-e2
• Mathematics & Statistics: Critical Skills for Australia's Future December 2006
• Exposure to Scientific Theories Affects Women's Math Performance
  I. Dar-Nimrod and S.J. Heine, Science 314 (2006), p.435
• Report on BIRS Workshop on Women in Mathematics
  September 24-28, 2006
• For some girls, the problem with math is that they’re good at it - C. Dean, AustMS Gazette, March 2005, 22-23
• Gender bias in the refereeing process? - T. Tregenza, Trends in Ecology & Evolution 17 (2002), 349-350
• Stereotype Susceptibility: Identity Salience and Shifts in Quantitative Performance - M. Shih, T.L. Pittinsky, N. Ambady, Psychological Science 10 (1999), 80-83