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学生对 University of Toronto 提供的 Gender Analytics for Innovation 的评价和反馈

4.8
321 个评分

课程概述

Gender Analytics is a way to analyze your products, services, processes and policies with a gender lens to uncover hidden opportunities for innovation and effectiveness. We'll answer questions such as: Why are women 47% more likely than men to be injured when they get in a car accident? Why do financial products fail to meet women’s needs across their life cycles? Why will automation and AI be more likely to impact women than men? Why are gender-neutral policies are not necessarily gender-equal? This is the introductory course in the 5-course Gender Analytics Specialization offered by the Institute for Gender and the Economy (GATE) at the University of Toronto's Rotman School of Management. In this course, you will build the foundations for conducting Gender Analytics. You will get comfortable with the concepts and terms associated with Gender Analytics, including sex, gender, gender identity, sexual orientation and intersectionality. You will examine how policies, products, services and processes may have unintentionally gendered outcomes that miss out on opportunities or create needless risks. You will learn to uncover assumptions underlying these policies, products, services and processes, and to break social, cultural, and or organizational norms that perpetuate exclusion and inequality. You will see how Gender Analytics can lead to transformational innovations. You will also evaluate your own competencies and start your Self Development Plan and begin your journey to build a workplan for your own Gender Analytics project....

热门审阅

HC

Aug 15, 2021

Fascinating case studies and interviews! I truly loved this course and I'm excited to continue with the specialization.

PV

Feb 26, 2025

Great overview of the basics for gender analytics and concepts

筛选依据:

76 - Gender Analytics for Innovation 的 79 个评论(共 79 个)

创建者 Hanmanthe S

Mar 25, 2025

It was great

创建者 Abhirami n r

Jun 16, 2021

good course, I expected some explanation of statistical analysis

创建者 Sonia G

Mar 23, 2023

Relevant but not enough content.

创建者 Poonam M

Jul 3, 2023

Good and Informative