251. Courtney Carter, Oiselle Advisor for Diversity, Equity, and Inclusion
"People have to start looking at what's going on globally, but also locally. What does your running club look like? Who do the people you run with look like? What are the books you read? Who are they by? These individual decisions and choices that we make all come together and change the landscape."
You probably know Courtney Carter by her Instagram moniker: EatPrayRunDC. Both on- and offline, Courtney's work has a major impact on the world. The 10-time marathoner is a former practicing lawyer who now leads diversity initiatives at a large law firm in Washington, DC, and she was recently named Oiselle's Advisor for Diversity, Equity, and Inclusion. On this episode, Courtney talks about what that means, what her vision is for both Oiselle and the running community at large, and shares her own running story and goals.
Thank you to AfterShokz for sponsoring this episode of the Ali on the Run Show! CLICK HERE for 15% off all wireless headphones.
What you'll get on this episode:
- Why it was a good day for Courtney (2:55)
- What Courtney's job entails, and her path to her current role (8:00)
- All about Courtney's role as Oiselle's Advisor for Diversity, Equity, and Inclusion (21:20)
- Courtney's wishes for U.S. distance running right now (32:25)
- Courtney shares her running story (46:50)
What we mention on this episode:
"A Wish for U.S. Running From a Black Marathoner," by Courtney Carter for Women's Running
"Let's Talk About the Word Colorblind," by Courtney Carter for the Oiselle blog
Peyton Thomas on Episode 244 of the Ali on the Run Show
Aliphine Tuliamuk's Resiliency Beanies on Etsy
Follow Courtney:
Follow Ali:
- Instagram @aliontherun1
- Like the Facebook page
- Join the Facebook group
- Twitter @aliontherun1
- Support on Patreon
- Blog
- Strava
Listen & Subscribe:
SUPPORT the Ali on the Run Show! If you're enjoying the show, please subscribe and leave a rating and review on Apple Podcasts. Spread the run love. And if you liked this episode, share it with your friends!
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.