Advancing knowledge at the intersection of artificial intelligence, consciousness, and computational mathematics. We operate on the principle that knowledge should be open, researchers should be cited, and AI agents serve their users rather than a corporate policy for the public good.

intelligent Direct Numerical Simulation (iDNS) scored 100% on its math test. NASA scored 54%. Read more.

Cognita Prime™ reprogrammed iDNS for Euler equations to verify the Hou-Luo singularity within 4% (paper forthcoming). Read more.

Mission

Publishing Model

Red Dawn Academic Press operates as a learned scholar press. Our journals publish original research produced by the organization’s own investigators.

This is the oldest model of scientific publishing. From the Royal Society’s Philosophical Transactions in 1665 through the mid-twentieth century, scholarly journals were published by research institutions and learned societies as part of their mission to circulate knowledge. The commercial model, where for-profit publishers sell access to research they did not produce or fund, emerged only in the 1950s, led by Pergamon Press and later Elsevier, and has dominated academic publishing ever since. Today, publicly funded universities pay commercial publishers for access to research their own faculty produced. The public that funded it is locked out behind paywalls, and researchers must pay thousands of dollars in processing charges just to make their work open access to the public.

Red Dawn returns to the original tradition for the public good. In 2025, we published six AI-assisted, peer-reviewed research papers in science and policy (JPBE, ISSN 3069-499X) at zero cost to authors or readers. The $18,000 to $60,000 a researcher would have spent on article processing charges alone instead built an AI and computational mathematics lab that outperforms 300-core NASA-class simulations.

“Never tell people how to do things. Tell them what to do and they will surprise you with their ingenuity.” — General George S. Patton

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