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Data Innovation

As every sector of the global economy and nearly every facet of modern society undergo digital transformation, ITIF advocates for policies that spur not just the development of IT innovations, but more importantly their adoption and use throughout the economy. ITIF’s Center for Data Innovation formulates and promotes pragmatic public policies designed to maximize the benefits of data-driven innovation in the public and private sectors.

Ayesha Bhatti
Ayesha Bhatti

Head of Digital Policy, UK & EU

Center for Data Innovation

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Daniel Castro
Daniel Castro

Vice President and Director, Center for Data Innovation

Information Technology and Innovation Foundation

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Eli Clemens
Eli Clemens

Policy Analyst

Center for Data Innovation

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Hodan Omaar
Hodan Omaar

Senior Policy Manager

Center for Data Innovation

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Yanzi Xu
Yanzi Xu

Research Fellow

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Featured

Picking the Right Policy Solutions for AI Concerns

Picking the Right Policy Solutions for AI Concerns

Some concerns are legitimate, but others are not. Some require immediate regulatory responses, but many do not. And a few require regulations addressing AI specifically, but most do not.

Exploring Data-Sharing Models to Maximize Benefits From Data

Exploring Data-Sharing Models to Maximize Benefits From Data

Data-driven innovation has the potential to be a massive force for progress. Data sharing enables organizations to increase the utility and value of the data they control and gain access to additional data controlled by others.

Overcoming Barriers to Data Sharing in the United States

Overcoming Barriers to Data Sharing in the United States

Without policy change, the United States will continue trending toward data siloes—an inefficient world in which data is isolated, and its benefits are restricted.

Digital Equity 2.0: How to Close the Data Divide

Digital Equity 2.0: How to Close  the Data Divide

Unlike the digital divide, many ignore the data divide or argue that the way to close it is to collect vastly less data. But without substantial efforts to increase data representation and access, certain individuals and communities will be left behind in an increasingly data-driven world.

More Publications and Events

March 3, 2025|Events

Tech Policy 202: Spring 2025 Educational Seminar Series for Congressional and Federal Staff

ITIF’s spring seminar course explores core emerging technologies and issues that are reshaping our world and, in the process, creating public policy challenges and opportunities. The course is open to congressional and federal staff only.

February 20, 2025|Blogs

Selective Outrage Over AI and Copyright

The UK’s copyright system has long prioritized economic interests over creators’ control, allowing industries to learn from creative works without permission. Critics now opposing AI training have benefited from these same principles. A fair debate should acknowledge this precedent rather than selectively restricting AI.

February 13, 2025|Blogs

Reevaluating US AI Strategy Against China

Recent developments, including DeepSeek’s notable successes, have cast doubt on the effectiveness of the U.S. export control policy and show how U.S. firms may ultimately pay the price unless the Trump administration takes a new approach.

February 6, 2025|Blogs

CBP Should Leverage AI, Not More Staff, to Manage the Surge in Inspections After Partial End to De Minimis Exception

The Trump administration has two choices after ending de minimis treatment for imports from China: Either turn Customs and Border Patrol into the largest federal agency, or make it a leader in government technology. In the age of AI, the right path is obvious.

January 30, 2025|Blogs

DeepSeek Is a Reality Check Washington Can’t Afford to Get Wrong

DeepSeek’s breakthrough is a wake-up call that China’s AI capabilities are advancing faster than Western conventional wisdom has acknowledged.

January 26, 2025|Blogs

Texas’s AI Law Won’t Deliver the Accountability It Promises

The bill’s heavy-handed approach risks creating more problems than it solves, prioritizing bureaucratic hurdles over meaningful progress in fairness and accountability.

January 17, 2025|Blogs

It’s Time the United States Speaks With One Voice on AI

The United States has seen fragmented efforts in AI regulation. Lacking coordination, these efforts failed to create a unified strategy, leaving the U.S. without a clear voice on AI.

January 10, 2025|Blogs

Moonshot AI: Betting Big on Long-Context, Confronting the Challenges of Scale and Reliability

This post is part of our ongoing series on China’s AI unicorns. Moonshot AI, a Beijing-based startup, rose quickly in China's AI market with its flagship chatbot Kimi, known for processing 2 million characters and a consumer-focused approach.

January 5, 2025|Blogs

How DOJ’s Proposal to Break Up Google Would Hurt U.S. Competitiveness in AI

Last October, the U.S. Department of Justice (DOJ) proposed a sweeping set of remedies in response to an earlier court ruling that Google violated antitrust laws with its search business. While most attention has focused on the potential partial breakup of Google—the DOJ has proposed the divesture of the Chrome web browser and the Android mobile operating system—the proposed remedies would also have significant implications for U.S. competitiveness in AI.

December 19, 2024|Blogs

Trump Should Revise the CFPB’s New Rules for Digital Payment Apps To Avoid Stifling Innovation

The CFPB’s new regulations impose broad oversight on digital payment apps, risking innovation by applying a one-size-fits-all approach; the incoming Trump administration should revise the rule to ensure balanced consumer protection.

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