Latest action: Referred to the House Committee on Education and Workforce.
Referred to one or more standing committees for review, hearings, and possible markup.
Specific committees not parsed from action data.
The committee may hold hearings, amend the bill, or let it die without action.
Next: Reported
Full chamber floor — Speaker / Majority Leader controls scheduling
Bill aims to improve data science and literacy education in American schools.
The problem
Students lack skills in data science and data literacy needed for modern jobs and informed citizenship.
The proposal
Establish programs and funding to teach data science and literacy skills to K-12 students nationwide.
The impact
Students, teachers, and schools benefit from new data education programs. Employers gain workers with data skills.
Data science skills are increasingly needed in many careers. Better training helps students get good jobs and earn higher wages. This benefits the economy long-term.
Learning to understand data helps citizens make smarter choices about health, finances, and voting. This strengthens democracy and public understanding.
Students from low-income families often have fewer chances to learn tech skills. This bill helps level the playing field for all students.
Countries worldwide are training data-literate workers. This helps America keep up globally in technology and innovation.
New education programs require money. It's unclear how much this costs and where funding comes from. Schools already face budget challenges.
Most current teachers weren't trained to teach data science. Schools need to hire new teachers or spend money training existing ones. This takes time and resources.
Without specific details, it's hard to know what students will actually learn. Different schools might teach very different things.
Schools struggle with basic funding for reading, math, and infrastructure. Adding new subjects may pull resources from equally important areas.
Generated by AI from the bill text. Not a prediction and not legal or policy advice. The percentage is the model's own rating of each item — self-reported, and not a measure of how accurate it is.
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Individual contributions, grouped by employer · FEC
Where their individual donors work · 2026 cycle
Money from people who work there, not from the company. Not tied to this bill.
Itemized individual contributions via FEC, grouped by the employer each contributor self-reported. Companies and unions cannot contribute to federal candidates from their treasuries, so these totals are money from people who work at an employer — never from the organization itself. They are campaign contributions covering a full election cycle and are not connected to this bill.
Senate LDA lobbying disclosures
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