Learn how to promote equality in your organization
.svg)
Analytics for
Equitable Leadership
Learn how to analyze equity in your org and design interventions. Led by Professors Ray Reagans and Chris Rider, joined by a cohort of experienced leaders.
5 x 2 hr sessions (+ recordings of each live session)
4pm PST; May 16, 18, 23, 25, 31
Early Bird Price: $600 (expense through L&D)
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
This course is designed for
HR & DEI Specialists
and leaders responsible for growing diverse teams
In this course you will learn how to analyze and promote equality for employees, customers and suppliers:
.png){kind=small}
Use simple-but-powerful frameworks to distinguish “differential treatment” and “disparate impact” as root causes of inequities among stakeholders.
Develop data visualizations that help communicate the need for gap-closing interventions.
Design interventions to reduce documented inequities.
Recommended by
Leading Industry Experts
.png)
Cyrus Mehri
Co-Founder, Principal
@ Working IDEAL
“Ray and Chris are on the cutting edge of Equity Analytics. The teachings and tools they provide are more essential as ever as the nation struggles to achieve its high minded goals of equal opportunity and upward mobility. Economic inclusion and a strong democracy are tied together. Sign up to make a difference.“
.png)
Melissa Thomas-Hunt
Head of Global Diversity and Belonging
@ Airbnb (Former)
“Organizations committed to fostering equitable workplaces, platforms, and supply chains need leaders in management, HR, and DEI who appreciate and can leverage analytics in achieving that goal. Ray and Chris have created an engaging, accessible and informative course that will provide participants at all organizational levels with analytical intuition AND capabilities- all delivered in a digestible and parsimonious format. This will be an excellent course.”
.png)
Jennifer Kurkoski
Director of People Analytics
@ Google
Ray and Chris provide exceptional clarity -- without watering down nuanced issues. Their engaging examples and clear explanations bring analytics to life. You'll leave this course with the tools you need to identify root causes and drive meaningful progress on DEI.
You’ll hear from industry leading
Guest Speakers
What you get out of
This Cohort
Applicable frameworks & case studies
You will learn frameworks for effectively documenting and promoting equality within your organization. Together, we will use these frameworks to review case studies from companies like Airbnb & the NFL and evaluate their real world outcomes.
.png){kind=icon}
Learn live from leading industry experts
You will have the opportunity to ask questions and share your experiences with leading experts in the field of Diversity, Equity, and Inclusion.
Join a lifelong professional network
This course gives you access to a rich community of like-minded HR & DEI professionals from some of the best businesses in the world. Even after after the course ends, you will continue to learn an build with each other.
Meet Your
Instructors
Chris Rider
Chris Rider is the Thomas C. Kinnear Professor at the University of Michigan's Ross School of Business. He studies racial disparity in sports as well as the relationship between entrepreneurship and societal inequality. His research is covered in many media outlets (including NYT, WSJ & WaPo) and was featured by Mina Kimes of ESPN. He co-authored a case study on Cyrus Mehri and the NFL’s Rooney Rule.
At Michigan, Rider designed and launched a novel Equity Analytics course that prepares students to analyze and address disparities in business opportunities and outcomes. Current research projects investigate racial disparity in the career progression of athletes competing in Olympic sports and the relationship between organizational diversity and performance. He is Associate Editor of Administrative Science Quarterly.
.png)
.png)
Chris Rider
.png)
.png)
Ray Reagans
Guest Speaker (joining every session)
Ray Reagans is the Alfred P. Sloan Professor of Management, a Professor of Organization Studies, and the Associate Dean for Diversity, Equity, and Inclusion at the MIT Sloan School of Management. He studies how demographic characteristics such as age, gender and race affect the development of networks connections. He also considers the performance implications of these connections with respect to knowledge transfer, learning and team performance.
Current research projects consider how an organization’s diversity climate affects the performance of women and racial minorities. Along with Chris Rider, he is investigating racial disparity in the career progression of athletes competing in Olympic sports.
Ray Reagans is the Alfred P. Sloan Professor of Management, a Professor of Organization Studies, and the Associate Dean for Diversity, Equity, and Inclusion at the MIT Sloan School of Management. He studies how demographic characteristics such as age, gender and race affect the development of networks connections. He also considers the performance implications of these connections with respect to knowledge transfer, learning and team performance.
Current research projects consider how an organization’s diversity climate affects the performance of women and racial minorities. Along with Chris Rider, he is investigating racial disparity in the career progression of athletes competing in Olympic sports.
About's Chris
Live Cohort
Greater sensitivity to societal inequality, combined with an increasingly diverse workforce, has led many managers to ask if their business practices create disparities in opportunity and/or outcomes for employees, customers, suppliers, and other stakeholders. Yet, many managers lack the analytical skills to answer such questions. This course addresses that need. Students learn analytical frameworks for identifying “differential treatment” and “disparate impact”, enabling them to analyze equity using real-world data from various contexts (e.g., Airbnb, the National Football League, hiring data). By the end of the course, students will be able to:
Analyze inequity in organizations, markets, and industries
Infer plausible determinants of such inequities
Design interventions to reduce documented inequities
.png)
Session 1 - Foundations
Monday, May 16th
4-6pm (PST)
In this session we will define “equity” and establish its role in Diversity Equity & Inclusion initiatives, especially in achieving equal opportunity. We will also gain familiarity with “differential treatment” and “disparate impact” as frameworks for identifying potential causes of inequity. Key concepts include:
Aspiring to equity: Raise awareness of equity concerns, establish empirical facts & identify root causes.
Addressing inequity: Document disparities in data, elaborate the data generating process & structure ideal comparisons.
Case Study: How algorithms can exhibit predictive validity but exacerbate disparities (an application to personnel decisions).
Session 2 - Merit & Cumulative Advantage
Wednesday, May 18th
4-6pm (PST)
In this session we will consider how equity analytics is implicitly informed by our beliefs about merit and fairness. We recognize that observed disparities can be produced equitably or inequitably. We will also emphasize that a focus on outcomes must be complemented by a focus on process. Key concepts include:
How noise and bias influence merit evaluations, resources, allocations, and rewards.
How different data generating processes can produce similar cross-sectional inequality.
Case studies: Nobel Prizes (late career) & John Bates Clark Medals (early career).
.png)
.png)
Session 3 - Documenting disparity
Monday, May 23rd
4-6pm (PST)
In this session we use analytical frameworks to structure statistical comparisons informed by known disparity-generating mechanisms. To do this, we will identify assumptions necessary to treat empirical facts as correlations versus causes. Key concepts include:
How to establish disparity as an empirical fact
Foundational calculations (e.g., conditional means, probabilities, t-tests)
Partial correlations (e.g., structuring & interpreting multivariate regression)
Case studies: Intra-organizational pay inequity analysis, resume audit study
Session 4 - Disparity-generating processes
Wednesday, May 25th
4-6pm (PST)
In this session we understand the process by which data is generated prior to analysis. Based on this understanding, we practice descriptive analytical techniques for probing allocative and valuative mechanisms that generate disparities in the outcomes of different groups of people. Key concepts include:
Differential treatment and disparate impact in the allocation of people to jobs and in evaluations of their job performance.
Intervening in organizational allocation and valuation processes to address inequity.
Case studies: Airbnb renters, NFL coaches, The Rooney Rule.
.png)
.png)
Session 5 - Interventions & correctives
Tuesday, May 31st
4-6pm (PST)
In this session we consider how equity analytics can inform interventions to reduce or eliminate disparities. With this understanding we then evaluate the relative merits of options based on root-cause inferences. Ultimately, we design analytical plans for evaluating the effectiveness of disparity-reducing interventions. Key concepts include:
Guidance on “When and how?” to intervene (Plan A vs. Plan A/B?).
Randomized controlled trials & alternative intervention evaluation tools.
Case studies: Airbnb Oregon experiment, Georgia State chatbot.
Case studies: Intra-organizational pay inequity analysis, resume audit study
.svg)
.svg)