Today, CDT submitted comments opposing the Office of Management and Budget’s proposed overhaul of the rules governing federal financial assistance. The proposal would replace independent scientific judgment with political control, undermining the merit-based research system that has driven American scientific leadership for decades. While framed as an administrative update, the proposal would require agencies to prioritize projects that advance the President’s policy priorities while allowing grants to be terminated whenever those priorities change. Together, these changes would make political conformity, rather than scientific merit, the deciding factor in whether research is funded, completed, or abandoned.
Our comments explain that the proposal demands ideological allegiance as the price of eligibility to conduct scientific research, raising serious First Amendment concerns. The Proposed Rule would prohibit federal funding for entire categories of research, including on studies involving disparate impact liability, LGBTQ+ people, and any work the government characterizes as “anti-American.” It would also threaten research on content moderation and AI bias by treating standard empirical methods for studying online platforms and AI systems as suspect or ideological. By allowing political officials to determine which questions may be asked and which conclusions are acceptable, the Proposed Rule would leave researchers, policymakers, and the public with a less reliable body of scientific knowledge.
Our comments also urge OMB to strengthen privacy and security protections as it expands Treasury’s Do Not Pay system, warning that centralized government databases require robust safeguards to prevent data breaches, matching errors, and the wrongful denial of critical benefits.
Facts Only
* CDT submitted comments opposing the OMB’s proposed overhaul of rules governing federal financial assistance.
* The proposal seeks to replace independent scientific judgment with political control over research funding.
* The proposal would require agencies to prioritize projects advancing the President’s policy priorities.
* Grants could be terminated if policy priorities change.
* Comments assert the proposal demands ideological allegiance for eligibility to conduct research, raising First Amendment concerns.
* The Proposed Rule would prohibit federal funding for certain research categories, including studies involving disparate impact liability and LGBTQ+ people.
* The rule would prohibit funding for work characterized as "anti-American."
* The proposal threatens research on content moderation and AI bias by treating standard empirical methods as suspect.
* CDT urged OMB to strengthen privacy and security protections related to the Treasury’s Do Not Pay system.
* Centralized government databases require safeguards against data breaches, matching errors, and wrongful denial of benefits.
Executive Summary
The Committee on Data and Technology (CDT) submitted comments opposing the Office of Management and Budget's proposed changes to rules governing federal financial assistance. The proposal seeks to replace independent scientific judgment with political control by requiring agencies to prioritize projects based on presidential policy priorities, allowing grants to be terminated when those priorities shift. Critics argue this system would favor political conformity over scientific merit in determining research funding, completion, or abandonment.
The comments raise First Amendment concerns, arguing that the proposal demands ideological allegiance for eligibility to conduct research. Specific concerns were raised regarding prohibitions on federal funding for research related to disparate impact liability, LGBTQ+ studies, and work characterized as "anti-American." Furthermore, the proposal threatens research into content moderation and AI bias by treating standard empirical methods in these areas as suspect. Additionally, CDT urged the Office of Management and Budget to enhance privacy and security protections, specifically warning about necessary safeguards for centralized government databases like the Treasury’s Do Not Pay system to prevent data breaches and wrongful denials of benefits.
Full Take
The core tension presented is the conflict between the mechanism of scientific governance—which relies on meritocratic, independent evaluation—and a framework demanding political prioritization. The shift described moves research funding from an assessment of empirical value to an exercise in ideological compliance, fundamentally altering the role of scientific inquiry within federal systems. This pattern suggests an underlying concern that expertise itself is politically mutable, and that what constitutes valid knowledge becomes subservient to prevailing political winds. The specific examples cited—excluding research on social justice issues or AI bias by labeling empirical methods as suspect—indicate a strategy aimed at defining the boundaries of acceptable scientific discourse based on ideological alignment.
The implication here rests on cognitive sovereignty: if the rules governing what can be studied and funded are determined by political decree rather than objective standards, the shared public knowledge base fragments. The demand for specialized safeguards on centralized data demonstrates that administrative efficiency is often prioritized over the autonomy of the research subjects and the integrity of the data itself. What question must we ask about the long-term health of a knowledge system when its legitimacy is predicated on adherence to shifting political consensus rather than enduring empirical truth? What mechanisms exist to ensure that concerns regarding disparate impact, social identity, or technological ethics are treated as legitimate scientific inquiries rather than matters for ideological exclusion? What happens when the very tools used to measure reality become politicized arbiters of validity?