A Year in Review: A look back at 2018
Check out what we were up to in 2018, and join us in changing the conversation on gender equality.
Five solutions offered for achieving gender equality in medicine and science.
In a review published in a special issue of The Lancet, Sonia Kang and Sarah Kaplan identify five myths that continue to perpetuate gender bias and offer five strategies for improvement.
This is how science can fix its glaring gender inequality problem
Research by Sarah Kaplan and Sonia Kang for achieving gender equality in medicine and science is featured by WIRED.
Equal pay eludes female professionals, even after education upgrades
Sarah Kaplan speaks to The Globe and Mail about the recent study showing that U.S. women who acquire an MBA earn a 63-per-cent salary “bump” with their degree but fail to close the pay gap with men after graduation.
Full-Time and Morning/Evening MBAs make an impact with Designing for Equality class
Two of GATE's MBA Student Fellows, as well as Vanessa Iarocci, speak to Rotman News about the Designing for Equality course.
For much of the world, retirement’s golden rule of ‘pay yourself first’ doesn’t apply
GATE-funded researcher Avni Shah shows how family dynamics shape retirement investing for The Globe and Mail.
Gillette’s socially conscious message likely to get warm reception in Canada
Sarah Kaplan comments on the latest Gillette commercial and the prevalence of socially-conscious advertising for CTV News. (This piece was also picked up by the Toronto Sun and Ottawa Citizen.)
Why Are Business Schools Still Struggling to Recruit Women?
Sarah Kaplan and two GATE MBA Student Fellows are quoted in a VICE piece on the gender gap in MBA programs.
Women Are Asking To Be Paid What They’re Worth — So Why Aren’t They Getting It?
GATE is mentioned in a piece by Bustle on the gender wage gap, and why it's more complicated than "women need to ask for more money."
Canada has fifth biggest AI workforce, but still lacks diversity: study
Sarah Kaplan comments about the lack of diversity in Canada's artificial intelligence workforce and its dangerous implications for discrimination.