Inclusive Analytic Techniques
Many policies, products, services or processes that we think of as gender-neutral actually have gendered outcomes. Everything from snow plowing to car safety to investment advising to infrastructure investment has impacts that differ by gender. These outcomes can be even more biased if we look at important intersections with race, indigeneity, differences in ability, ethnicity, sexual orientation, and other identities. The question is, what can you do to change this?
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- Duration 8 hours
- Course by University of Toronto
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Offered by
About
Many policies, products, services or processes that we think of as gender-neutral actually have gendered outcomes. Everything from snow plowing to car safety to investment advising to infrastructure investment has impacts that differ by gender. These outcomes can be even more biased if we look at important intersections with race, indigeneity, differences in ability, ethnicity, sexual orientation, and other identities. The question is, what can you do to change this? And, how can you avoid the risks of bias or create innovative new offerings using gender-based insights? Inclusive Analytics Techniques will provide you with the tools and analytical techniques to uncover these intersectional insights. The course covers both quantitative and qualitative data collection and analysis, including basic statistical techniques and practical instructions for working with customers, beneficiaries and other stakeholders. You will learn to incorporate multiple sources of rich evidence in order to develop innovative insights into how policies, products, services and processes can be made more equitable or serve unique communities. This is the second course of the Gender Analytics Specialization offered by the Institute for Gender and the Economy (GATE) at the University of Toronto's Rotman School of Management. It's great on its own, and you will get even more out of it if you take it as part of the Specialization.Modules
Welcome
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1
Videos
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2
Readings
1
Videos
- Introduction to Inclusive Analytic Techniques
2
Readings
- Land Acknowledgement
- Faculty biographies
Ethical and legal considerations
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5
Videos
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2
Readings
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2
Discussion
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1
Assignment
1
Assignment
- Assessment 1
2
Discussions
- Benefits of collecting diversity data
- Barriers to data collection
5
Videos
- Why should we collect information about diverse communities?
- Why should someone provide you with information?
- Addressing legal requirements in a global context
- Anchoring your research in the lived experience of informants
- Ethics planning in community-based research
2
Readings
- Case example: IBM’s Self ID Program
- First Nations Principles of Ownership, Control, Access, and Possession of Data (OCAP)
Basic probability
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3
Videos
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3
Readings
3
Videos
- Introduction to probability
- What we need to know about probability
- Statistical inference
3
Readings
- Probability distributions
- [Optional] Confidence intervals – is Brian’s coin a “fair coin”?
- [Exercise] Calculate a probability
Hypothesis testing
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5
Videos
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1
Assignment
1
Assignment
- Assessment 2
5
Videos
- Testing a hypothesis – Intuition
- Formulating hypotheses
- Testing a hypothesis – calculation using Excel
- Analyzing subsets within your data
- Analyzing multiple subsets at once
Where and how to get data
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3
Videos
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1
Assignment
1
Assignment
- Evaluate quantitative data-collection plans
3
Videos
- Data collection and the data generation process
- Where to find data
- Are the data reasonable?
Analyzing relationships and interpreting results
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4
Videos
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1
Assignment
1
Assignment
- Assessment 3
4
Videos
- Interpreting results
- Analyzing relationships: correlation
- Analyzing relationships: regression
- Taking evidence-based action
Understanding community-based research methods
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5
Videos
5
Videos
- What is qualitative community-based research
- Community engagement principles
- Participatory data collection methods
- Valuing lived experience
- Empathy
Purposeful planning of community engagement
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4
Videos
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1
Readings
4
Videos
- Community engagement steps 1-2
- Community engagement steps 3-5
- Inclusive participatory practices
- Engaging new groups
1
Readings
- IAP2 Spectrum of Public Participation
Qualitative data analysis
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1
Videos
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1
Assignment
1
Assignment
- Assessment 4
1
Videos
- Analyzing qualitative data
Course summary
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2
Videos
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2
Readings
2
Videos
- Application Spotlight: Application to your project workplan
- Course recap: Inclusive analytic techniques
2
Readings
- [Worksheet] Research plan for your Gender Analytics project
- Congratulations!
Auto Summary
Unlock the power of inclusive analytics with the "Inclusive Analytic Techniques" course, designed for professionals in the business and management domain. Guided by expert instructors from the University of Toronto's Rotman School of Management, this course focuses on identifying and addressing gendered and intersectional biases in various policies, products, services, and processes. Throughout this foundational course, you will explore both quantitative and qualitative data collection and analysis methods, learning basic statistical techniques and practical approaches to engaging with diverse stakeholders. By incorporating multiple sources of evidence, you'll gain the skills to develop innovative and equitable solutions tailored to unique communities. This 480-minute course is part of the Gender Analytics Specialization offered by the Institute for Gender and the Economy (GATE) but can also be taken independently for valuable insights. Available through Coursera with a Starter subscription, this course is ideal for individuals eager to advance their understanding of gender-based insights and create impactful, bias-free offerings in their professional endeavors.
Sarah Kaplan
Brian Silverman
Chanel Grenaway
Karen Sihra, PhD