CNN's Original Series United Shades of America with W. Kamau Bell (Season 6, Episode 2)

Hi, there! I'm Brandeis Marshall.

I'm a rebel tech educator, scholar and practitioner who taught 1500+ people in computing and data across 3 academic institutions. It took me 20+ years! As an openly Black education activist, I focus on educating and producing scholarship that amplifies Black women thriving in data and tech careers. In standard teaching lessons and innovation work, Black women’s contributions weren’t featured nor the social impact lens that affects Black women. So I highlighted Black brilliance and added current social context in my lessons and research. My classroom discussions turned into mentoring and coaching sessions for late-stage college students to tenured academics. For example, I co-ran the Broadening Participation in Data Mining 2-day program from 2012-2016. About 200 college and graduate minoritized students learned and grew their data mining understanding through tech seminars, mentoring activities and networking circles. 


I realized that the gaslighting patterns and confidence struggles -- the disrespect of women, especially Black women, has to stop! So, I started DataedX (pronounced data-ed-x). DataedX, at its core, counteracts automated oppression efforts with culturally-responsive instruction and strategies. We strengthen your data equity resolve -- that ability to acknowledge and perpetuate the anti-discriminatory narrative centering non-white people and communities throughout the data life cycle. 

In 2019, I co-created BeyondOne, DataedX’s data prep online community for Black women, that provides a safe haven to grow, share or pivot in data roles regardless of their profession. BeyondOne continues my advocacy in reaching Black women globally to understand how discrimination in data is made and finding ways to cope and combat it.  


Why data? Because data is fueling the algorithms that’s making the tech and that tech is perpetuating harm to Black women. We can end this relentless cycle with culturally responsible data education and intentional processes dissemination.

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B.S. Computer Science, UofR

M.S./PhD Computer Science, RPI

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