The Digital Trade and Data Governance Hub

Literature Guide to Trump-Era Policies and DOGE's Impact on Personal and Public Data

The Digital Trade and Data Governance Hub curates the latest literature on the challenges posed to personal and public data by the Trump Administration and the Department of Government Efficiency (DOGE). The Hub tracks the evolving government policies on data access and regulation that directly influence innovation and market competition in the AI space. By consolidating the latest news, research, and policy analyses, we provide our audience with a timely resource to understand how these shifts are reshaping the digital ecosystem. 

Led by Dr. Susan Aaronson and Michael Moreno

Judge Says One DOGE Member Can Access Sensitive Treasury Dept. Data

By Hurubie Meko, published in NYT (April 11, 2025)

A whistleblower’s disclosure details how DOGE may have taken sensitive labor data

By Jenna McLaughlin, published in NPR (April 15, 2025)

How DOGE may have improperly used Social Security data to push voter fraud narratives

By Stephen Fowler and Jude Joffe-Block, published in NPR (April 11, 2025)

Understanding DOGE and Your Data

By Harvard Ash Center (March 31, 2025)

DOGE gained access to sensitive data of migrant children, including reports of abuse

By Nick Robbins-Early, published in The Guardian (April 3, 2025)

OPM nominee tells DOGE-concerned Democrats he’ll protect workers’ data

By Matt Bracken, published in the FedScoop (April 3, 2025)

Top oversight Dem files resolution to demand answers from DOGE on AI use

By Edward Graham, published in Government Executive (April 3, 2025)

Federal Workers Can Dispute DOGE’s Data Access, Judge Rules (2)

By Courtney Rozen, published in Bloomberg Law (April 3, 2025)

US economic data at risk from Elon Musk’s Doge cuts

By Claire Jones, published in the FT (March 27, 2025)

DOGE comes for the data wonks

By The Economist, published in The Economist (March 30, 2025)

DOGE staffer who shared Treasury data now has more access to government systems

By Stephen Fowler and Jenna McLaughlin, published in NPR (March 31, 2025)

Data privacy experts call DOGE actions ‘alarming’

By Paige Gross, published in Nebraska Examiner (March 19, 2025)

Trump pens executive order pushing agencies to share data

By Natalie Alms in NextGovFCW (March 21, 2025)

Trump Administration, DOGE Activities Risk SSA Operations and Security of Personal Data

By Jacob Leibenluft, Devin O’Connor, and Kathleen Romig, published in Center on Budget and Policy Priorities (March 25, 2025)

Judge says Treasury, Education, OPM can’t share personal information with DOGE

By Matt Bracken, published in FedScoop (March 24, 2025)

CDT and The Leadership Conference Release New Analysis of DOGE, Government Data, and Privacy Trends

By Elizabeth Laird, Kristin Woelfel, and Quinn Anex-Ries, published in CDT (March 19, 2025)

What do we do

The Digital Trade & Data Governance Hub provide resources, training, events, and evidence-based research to help stakeholders understand data governance and digital trade.

research

Evidence based Research

Training

seminars

Recent Publications

US Import Tariffs Will Hurt Americans, Too

February 12, 2025 A tractor is parked beside a greenhouse in Kingsville, Ontario, Canada, February 4, 2025. A 25 percent US tariff on farm imports from Canada would be devastating for the agricultural sector (Carlos Osorio/REUTERS) US President Donald Trump views...

Trump 2.0: Clash of the tech bros

December 11, 2024 The tech giants courting Trump administration officials have conflicting interests. Getty Images In 2016, tariff man couldn’t care less about tech. Newly elected U.S. President Donald J. Trump knew that the people who created and ran America’s tech...

The Age of AI Nationalism and Its Effects

September 30, 2024 Policy makers in many countries are determined to develop artificial intelligence (AI) within their borders because they view AI as essential to both national security and economic growth. Some countries have proposed adopting AI sovereignty, where...

AI could become the ‘new steel’ as overcapacity risk goes unnoticed

July 24, 2024 Policymakers in the U.S., Saudi Arabia, Japan, the U.K., and the EU have announced huge public investments in artificial intelligence, which follow large private sector investments. Hu Guan – Xinhua – Getty Images In the 19th century,...

Data Disquiet: Concerns about the Governance of Data for Generative AI

The growing popularity of large language models (LLMs) has raised concerns about their accuracy. These chatbots can be used to provide information, but it may be tainted by errors or made-up or false information (hallucinations) caused by problematic data sets or incorrect assumptions made by the model. The questionable results produced by chatbots has led to growing disquiet among users, developers and policy makers. The author argues that policy makers need to develop a systemic approach to address these concerns. The current piecemeal approach does not reflect the complexity of LLMs or the magnitude of the data upon which they are based, therefore, the author recommends incentivizing greater transparency and accountability around data-set development.

How should we think about data?

We have little information about what data firms collect, how these firms use or sell our data, or how they mix various data types. If we want these markets to operate more equitably and efficiently, policymakers must focus on the governance of data.

Personal Data

e.g. birthdates

 

Proprietary or Confidential Business Data

e.g. payrolls

Public Data

Data in the public domain, census data, scientific data, etc

Metadata

Supposedly anonymized personal data

Machine to Machine Communication

Satellite Data

Wondering who we are?

We are a team with a diverse background in international trade, international affairs, economics, public policy, and communication.

Susan Aaronson

Founder & Director

Michael D. Moreno

Research Director, AI and Data Governance