UChicago Student Sought College Credit for DOGE Work at HUD
FOIA documents reveal an undergraduate affiliate of the Department of Government Efficiency sought academic credit for building AI tools to flag federal regulations.
An undergraduate student from the University of Chicago requested that his work as an affiliate for the Department of Government Efficiency (DOGE) count toward his college degree. The request, which involves work performed at the Department of Housing and Urban Development (HUD), was revealed through documents obtained via a Freedom of Information Act (FOIA) request.
According to the documents, the student, identified as Christopher Sweet, was tasked with developing an AI tool designed to crawl HUD's rules and regulations. The software was built to flag specific regulations for rescission as part of a broader effort to reduce federal bureaucracy. Sweet sought to have this professional contribution recognized as academic credit by his university.
The Role of DOGE
The Department of Government Efficiency is an external advisory body led by Elon Musk and Vivek Ramaswamy. The organization is tasked with identifying waste and restructuring operations across the federal government to reduce spending. To achieve this, DOGE has embedded affiliates within various federal agencies. These individuals often operate outside traditional civil service hiring processes, functioning as external consultants with direct access to agency operations.
Blurring Professional and Academic Lines
This request highlights a growing tension between political activism, external consulting, and formal academic accreditation. By seeking degree credit for work performed within a political initiative, the case underscores the unconventional integration of non-government affiliates into the administration of federal agencies. It raises questions regarding how academic institutions validate experiential learning when that learning occurs within highly politicized, non-traditional roles.
Implications for Federal Governance
The presence of external affiliates within agencies like HUD suggests a shift in how the current administration views government efficiency and oversight. Critics and observers note that this blurring of lines between private political initiatives and federal administration could lead to potential conflicts of interest. The use of AI to automate the flagging of regulations for removal further signals a move toward algorithmic governance in the effort to shrink the federal state.
What Remains Unclear
It is not yet confirmed whether the University of Chicago granted the requested credits or how the institution views the nature of the work performed. While reporting from Wired describes the initiative as a "takeover" of HUD functions, the exact wording used by the student in his formal request for credit remains a point of scrutiny. Observers will be watching to see if other DOGE affiliates seek similar academic or professional certifications for their roles in the federal restructuring.