Black Student Fund ties math literacy push to Benjamin Banneker legacy
Black Student Fund is launching a summer 2027 math class for high school students in Washington, D.C., focused on the math behind machine learning. The nonprofit is framing the program as part of a broader effort to prepare local students for an AI-driven workforce while honoring Benjamin Banneker on the anniversary of his death.
Why it matters: - Black Student Fund is trying to make math feel relevant to students entering an economy shaped by artificial intelligence and machine learning. - The nonprofit is positioning math literacy as a workforce skill, not just a school subject. - The program also connects that message to Benjamin Banneker, a historic Black mathematician and astronomer whose legacy BSF is using to anchor its education mission.
What happened: - Black Student Fund announced a four-week summer 2027 class called Math for Machine Learning for high school students. - The course will be taught in Washington, D.C., and will focus on the mathematics behind machine learning rather than coding. - BSF released the program around the anniversary of Benjamin Banneker’s death on October 9, 1806.
The details: - Week 1 covers linear algebra, including vectors and matrices, and how computers represent images, text and data as lists of numbers. - Week 2 focuses on calculus, including derivatives and gradients, and how a model learns by adjusting itself to reduce error. - Week 3 covers probability and statistics, including averages, variation and uncertainty, and how models make predictions from imperfect data. - Week 4 brings the ideas together through examples such as a line of best fit or a basic neural network. - BSF says more than 5,000 students across roughly 90 schools in the D.C., Maryland and Virginia area have taken part in its programs. - The nonprofit said the class builds on broader math offerings already underway. - This summer, the Conchita Poole Math Circle ran a free, six-week remote Math Summer Boost Program for middle schoolers from 19 regional schools. - Younger students used a prototype called the Tantalus BSF Math Arcade, a game-based platform created by BSF’s STEM director. - BSF also supports SAT math prep and has entered student teams in the MathCounts National Student Video Competition. - Benjamin Banneker was born free in Maryland in 1731, became one of the first prominent Black American scientists and helped survey the boundaries of the new federal territory that became Washington, D.C. - Banneker also published almanacs from 1792 to 1797 based on his own astronomical calculations.
Between the lines: - BSF is using Banneker’s story to frame math as a tradition of Black scientific achievement, not just an academic hurdle. - The focus on machine learning suggests the nonprofit wants students to see advanced math as directly tied to current technology jobs. - The emphasis on remote programs, game-based tools and competition prep points to a broader strategy of meeting students at different ages and skill levels. - Leroy Nesbitt, BSF’s executive director, said, “Math literacy is the lifeblood of machine learning, and machine learning is the future.”
What's next: - BSF will offer the machine learning class during summer 2027. - The nonprofit is inviting students into a longer pipeline of math support that includes enrichment, test prep and competition opportunities. - More information is available by contacting BSF at mail@blackstudentfund.org or (202) 387-1414. - BSF also directs readers to its social media presence at Instagram.
The bottom line: - BSF is betting that linking math to AI, and to a figure like Banneker, can make technical learning feel both urgent and culturally grounded.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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