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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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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 6, 2025|Blogs

AI Is Key to Trump’s Education Overhaul

Education Secretary Linda McMahon proposed eliminating the Department of Education by cutting federal bureaucracy to empower state-led innovation, but true transformation in American education requires a national commitment to investing in AI-driven personalized learning.

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 28, 2025|Blogs

Protectionism Will Hold Back Europe’s Innovation

If the European Commission truly wants innovation-led growth, it should abandon the idea that protection equals prosperity.

February 25, 2025|Testimonies & Filings

Comments to the UK Government on Proposed Changes to the Copyright, Design, and Patents Act 1988

The Center for Data Innovation submitted these comments to the UK government’s Intellectual Property Office, Department for Science, Innovation and Technology, and Department for Culture, Media and Sport on its consultation on proposed changes to the UK’s copyright regime, the Copyright, Design, and Patents Act (CDPA) 1988.

February 21, 2025|Testimonies & Filings

Comments to the California Privacy Protection Agency’s Proposed AI Regulations

The California Privacy Protection Agency (CPPA) has proposed regulations that would impose new requirements on businesses using automated decision-making technology.

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.

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