The Digital Trade and Data Governance Hub

A Primer on the Continuum of AI: From Closed to Open Source

On September 11th, the Digital Trade and Data Governance Hub hosted a briefing with Congressional staff on one of the most important debates in AI policy: open and closed-source AI.

Webinar 52: AI as Governance

Wednesday, September 17 at 10:00AM EST

Taking the Wrong Lesson from China’s AI Strategy

The United States is mimicking China’s approach to centralized data, risking privacy, security and democratic accountability in the name of AI leadership.

 

Podcast Overview: Trump’s "One Big Beautiful Dataset"

The Hub has created a podcast-style summary revisiting the Trump Administration’s efforts to centralize federal data on Americans—and the possible role of Palantir in that vision.

This content was developed with assistance from Google’s NotebookLM. This overview was AI-generated and human-reviewed and edited by the Hub.

‘Semiconductors, AI & Space: New frontiers of dominance’

Dr. Susan Ariel Aaronson speaking at the ‘Semiconductors, AI & Space: New frontiers of dominance’ Webinar hosted by The Democracy Forum.

The Impact of Tariffs on AI and AI Development

Dr. Susan Ariel Aaronson on the impact tariffs would have on AI and AI Development

TrailsCon 2025: "AI at Work: Building and Evaluating Trust

Monday, February 3, and Tuesday, February 4 at 9:00am EST

Digital Sovereignty in the BRICS Countries

Friday, January 31, 10:00 – 11:00 AM EST

AI Snake Oil with Sayash Kapoor

Monday, November 19, 10:00 – 11:00 AM EST

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 Michael Moreno and Dr. Susan Aaronson

Trump’s Data Cuts Could Leave Nonprofits ‘Flying Blind’

By Eden Stiffman, published in The Chronicle of Philanthropy (October 17, 2025)

At least 27 states turned over sensitive data about food stamp recipients to USDA

By Jude Joffe-Block, published in NPR (October 16, 2025)

How the Shutdown Has Cut Off Key Data Guiding the Fed’s Decisions

By Jarrell Dillard and Michael Sasso, published in Bloomberg (October 16, 2025)

Higher ed groups blast Trump plan to expand applicant data collection

By Laura Spitalniak, published in Higher Ed Dive (October 16, 2025)

 

Shutdown Leaves Fed in Dark on Data as It Weighs Next Rate Move

By Nick Timiraos, published in WSJ (October 16, 2025)

Data darkness in US spreads a global shadow

By Leika Kihara and Howard Schneider (October 15, 2025)

Lack of weather data due to budget cuts impacted forecast for deadly Alaska storm

By Andrew Freedman, published in CNN (October 14, 2025)

US government shutdown: How it affects key economic data publishing

By Reuters (October 13, 2025)

 

Local Governments Could Be Flying Blind as Federal Data Disappears

By Alex Fitzpatrick, published in Axios (October 1, 2025)

A lawsuit tries to block the Trump administration’s efforts to merge personal data

By Jude Joffe-Block, published in NPR (September 30, 2025)

US government shutdown would halt September jobs report, other data

By Lucia Mutikani, published in Reuters (September 29, 2025)

A Trump Administration Playbook: No Data, No Problem 

By Maxine Joselow, published in NYT (September 18, 2025) 

Local Governments Could Be Flying Blind as Federal Data Disappears

By Carl Smith, published in Governing (August 21, 2025)

Trump Officials Demanded Confidential Data About Transgender Children Seeking Care

By Chris Cameron, published in NYT (August 20, 2025)

Trump’s war on statistics risks leaving us all in the dark

By Michael Steele, published in MSNBC (August 21, 2025)

Inaccurate, impossible: Experts knock new Trump plan to collect college admissions data

By Jill Barshay in The Hechinger Report (July 11, 2025)

Big Business and Wall Street Need to Stand Up for Honest Data

By John Cassidy, published in The New Yorker (August 18, 2025)

Appeals Court Allows DOGE Access to Sensitive Data at Several Agencies

By Zach Montague, published in NYT (August 12, 2025)

Far more environmental data is being deleted in Trump’s second term than before

By Jeff Brady, published in NPR (August 8, 2025)

How Trump is reshaping government data

By Shannon Pettypiece published in NBC News (July 11, 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

China-U.S. Rivalry Will Split the World into Competing AI Camps

The U.S. and China both put forward plans for artificial intelligence last month. The two have long sought to lead on AI, and their competition has led to technological breakthroughs, lower costs, and wider use of the technology. But as their new plans illustrate,...

Taking the Wrong Lesson from China’s AI Strategy

Taking the Wrong Lesson from China’s AI Strategy The United States is mimicking China’s approach to centralized data, risking privacy, security and democratic accountability in the name of AI leadership. Chinese leaders early on recognized the importance of data for...

Regrets of the Tech Bros: In a land ruled by the law of the jungle

On his Inauguration Day, Donald Trump sent a message. The founders and CEOs of Apple,Amazon, Google, Meta, Open AI, and Uber, among other giant high-tech companies, sat in the front rows near the Trump family and cabinet nominees. Trump and his staff wanted to use...

The Dangers of AI Nationalism and Beggar-Thy-Neighbour Policies

As they attempt to nurture and govern AI, some nations are acting in ways that – with or without direct intent – discriminate among foreign market actors. For example, some governments are excluding foreign firms from access to incentives for high-speed computing, or...

Talking to a Brick Wall: The US Government’s Response to Public Comments on AI

April 28, 2025 Building trust in artificial intelligence (AI) is an elusive goal, especially if AI models are closed or partially open, making it difficult for users to determine if these models are reliable, fair or trustworthy. For this reason, the Biden...

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 Associate, AI and Data Governance