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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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Matthew Kilcoyne
Matthew Kilcoyne

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

October 16, 2025|Events

How To Address Counterfeits From Chinese Online Marketplaces

Please join ITIF for an expert panel discussion on the role of Chinese e-commerce platforms in facilitating counterfeiting, what this means for U.S. competitiveness, consumer trust, and global trade, and the steps policymakers should take to safeguard American innovators and consumers.

September 25, 2025|Blogs

China, Not the US, Is the EU’s Strategic Rival in Tech

The European Commission’s 2025 Strategic Foresight Report misframes the U.S. as a rival on par with China, risking transatlantic unity and protectionist policies that weaken Europe while leaving China free to dominate critical technologies.

September 19, 2025|Blogs

European Consumers Are Right to Complain About the DMA

European consumers report a decline in online experiences since the Digital Markets Act took effect, as regulatory restrictions on platform integration and data use have reduced functionality, slowed searches, and fragmented services across maps, travel, jobs, and more.

September 11, 2025|Blogs

How Some States Are Resisting Unnecessary AI Regulations

Lawmakers in Montana, New Hampshire, and Idaho are advancing “right to compute” laws to protect individuals and businesses from limits on their ability to use computational tools and AI systems.

September 4, 2025|Blogs

AI Sovereignty Makes Everyone Weaker—America Can Lead Differently

The idea that nations can invoke “AI sovereignty” to draw on U.S. technology when convenient, while walling off their markets, is not a bargain U.S. policymakers should entertain.

August 28, 2025|Blogs

The Growing Risks of Fragmented State AI Laws

Without federal preemption on AI regulations, states are rushing to impose audits, transparency mandates, and sector-specific obligations—often with overlapping or conflicting rules that extend beyond state borders.

August 22, 2025|Blogs

Why the Airbus Model Won’t Work for European Digital Policy

Europe’s pursuit of digital sovereignty rests on a flawed premise: that competing with the United States, rather than China, should be the central priority. To advance this goal, Brussels has embraced the so-called “Airbus model”—the belief that the government-led coordination that created an aerospace champion can be replicated to achieve dominance in semiconductors, cloud computing, and artificial intelligence (AI). The idea is seductive and gaining traction, but the analogy is unproven and misguided.

August 15, 2025|Blogs

The Hard Part Won’t Be Exporting US AI—It’ll Be Making It Stick

The United States plans to win the AI race by “exporting its full AI technology stack—hardware, models, software, applications, and standards—to all countries willing to join America’s AI alliance.” To succeed, it will need to pursue the right partners, make offers that meet their ambitions, and resist the urge to lead with virtue over value.

August 8, 2025|Blogs

History Shows Why Creators Should Embrace AI, Not Fear It

As artificial intelligence upends the creative landscape, history offers a clear lesson: fighting change only delays progress, but those who adapt to it thrive. Creators must do the same with AI.

August 7, 2025|Blogs

The EU’s DMA Fine Against Meta: GDPR in Disguise?

The European Commission’s DMA action against Meta reveals a strategy of using data protection law principles to stretch competition rules beyond their intended scope—ultimately setting a compliance bar no gatekeeper can meet, infantilizing users, and selectively targeting successful integrated American platforms.

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