# The Auto News Foundation - **Website:** - **Primary alias:** `autonewsfoundation.org` ## Description The Auto News Foundation is a U.S. 501(c)(3) nonprofit dedicated to supporting the future of the automotive industry through education and opportunity. Created in collaboration by automotive industry veteran Bill McCallum and EdTech professional Christopher Chung, the foundation is affiliated with Global Auto News, described as the longest-running automotive publication in America. Drawing on experience in both automotive and educational technology, it aims to address challenges and barriers facing the industry. The foundation’s mission is to connect a passion for automobiles with technological advancement and help build a vibrant, innovative automotive sector. It offers scholarship programs and educational resources for students, apprentices, and young professionals pursuing automotive careers. Support can help recipients access technical training and academic studies as they develop their skills and enter the field. The organization also invites individuals to contribute toward its scholarship and education programs. It states that donations are tax-deductible under U.S. law and that all proceeds go toward supporting these programs. ## Industries - 🧪 Science and Education - 🧪 Grants Scholarships and Financial Aid _(under Science and Education)_ - 🎗 Community and Society - 🎗 Philanthropy _(under Community and Society)_ ## Links - [facebook](https://facebook.com/autonewsfoundation) - [twitter](https://twitter.com/autonews501c3) ## Logos & icons - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idLCkg3MeX/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1792943723140) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Picton Blue | #4aabe8 | accent | | Sangria | #93020e | dark | | Akaroa | #d8c6ac | light | ## Fonts - sans-serif — asset _(custom)_ - sans-serif — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._