The Center for Data Innovation conducts independent research and formulates public policies to enable data-driven innovation in the public and private sector.
Joined October 2011
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975 Photos and videos
Nearly 90% of state tech offices have launched AI pilots, but too many remain isolated experiments.
States should adopt centralized AI sandboxes to turn testing into measurable improvements in public services.
More on moving AI pilots to deployment👇
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Many cybersecurity graduates still lack training in adversarial machine learning, model poisoning, and AI-assisted threat detection.
Updating CyberCorps SFS can help close this growing skills gap.
Read more in our analysis:
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Data innovation is helping farmers address labor shortages w/ AI at the edge. đźšś
In 5Qs, Rossen Kolev of Smart Farm Robotix explains how robots use computer vision to identify & remove weeds in real time w/o constant Internet access.👇
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Center for Data Innovation retweeted
Senator @MarshaBlackburn is reportedly negotiating with the White House to preempt state AI laws in exchange for advancing bills like KOSA, ASSA, & the NO FAKES Act.
ITIF's @ashljnsn warns that linking these issues could stall progress on all of them...🧵
ALT A statement addressing concerns about preemption in Congress and its impact on innovation. A person is visible on the right side.
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Center for Data Innovation retweeted
Jun 11
OpenAI reports that it has discovered PRC-linked accounts amplifying anti-data center messages.
This revelation is significant because there is a genuine risk that the data center backlash hurts U.S. efforts to remain the global leader in AI.
No infrastructure, no deployment.
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Center for Data Innovation retweeted
The EU unveiled its Tech Sovereignty Package to reduce reliance on U.S. technology & boost “digital autonomy.”
But restricting access to leading global tech risks slowing digital adoption, weakening productivity growth, & deepening Europe’s tech lag...🧵
ALT A commentary image featuring a young woman alongside text arguing against the EU's tech sovereignty package. The mood is professional and analytical.
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CNN is suing Perplexity for allegedly reproducing its journalism through AI search products. But this isn't the same legal question as whether AI can train on public content.
Policymakers shouldn't treat all AI copyright cases alike.
Our analysis👇
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.@MIT research found that generative AI can improve the performance of highly skilled workers by nearly 40% when used effectively.
Policymakers should focus on enabling AI adoption—not slowing deployment.
Our analysis on AI increasing productivity:
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Data innovation is turning carbon accounting into a real-time management tool.
In our 5Qs, Mike CYK of @StarfetchX explains how AI links business data with emissions databases to identify carbon hotspots & support faster operational decisions.
Read the interview:
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Center for Data Innovation retweeted
Jun 9
The AI buildout is creating enormous demand for skilled trades, and the workforce pipeline needs to keep pace. This is a smart response: free training, industry-recognized credentials, and direct pathways to jobs supporting America's growing digital infrastructure.
Today we're announcing America's Workforce Academy (AWA), the largest private-sector commitment to the skilled trades in American history, beginning with a $115 million commitment in the first year alone.
This cost-free program supports all participants while they learn and then guarantees a job for all graduates in high-demand fields such as electrical work, mechanical systems and plumbing. Every graduate will be guaranteed a job on a Meta construction site.
Learn more: meta.com/AmericasWorkforceAc…
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Center for Data Innovation retweeted
The AI policy debate has swung too far toward mitigating potential risks. We need more focus on the potential benefits.
@Castrotech explained what’s at stake for drug discovery, energy, manufacturing, and more on Al Jazeera’s UpFront with @RediTlhabi.
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. @CNN is suing @perplexity_ai over its use of news content, but this case raises different legal and policy questions than many AI copyright lawsuits.
The key issue isn't just AI training—it's how AI search products use and deliver publisher content...🧵
ALT A commentary discussing the implications of a lawsuit involving CNN and Perplexity, focusing on AI copyright issues.
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2/ Unlike training-data cases, CNN alleges Perplexity reproduced its journalism in near-verbatim form through retrieval-augmented generation (RAG).
If true, existing copyright, trademark, and consumer protection laws may already address the alleged harm.
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3/ As @techpolicymaven explains in her latest, policymakers should pursue targeted enforcement—not broad AI restrictions.
The goal: support voluntary licensing, local journalism, and continued innovation.
Read the blog:
datainnovation.org/2026/06/t…
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Frontier AI models can now identify vulnerabilities and generate exploit chains in minutes.
Congress should modernize CyberCorps SFS to ensure cybersecurity talent can defend against AI-driven threats.
Read more in our analysis:
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AI critics warn the technology will destroy jobs & weaken the economy—but evidence points in the opposite direction.
Policymakers should accelerate AI adoption to boost productivity, innovation, & long-term growth.
Read more👇
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Our free weekly newsletter breaks down the biggest developments at the intersection of data, tech, and public policy—plus expert analysis, interviews, and standout datasets and visualizations.
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Center for Data Innovation retweeted
The Great American AI Act seeks good governance but must get the details right for both people and country. It's a step forward. Check out my statement on what else is needed.
The Great American AI Act discussion draft is a step toward a coherent national AI framework.
But Congress must get the details right—strengthening independent reviews, adopting dynamic compute thresholds, refining protections of people & preemption provisions, & expanding transparency requirements.
ALT A statement about the Great American AI Act emphasizing the importance of AI development and governance, featuring Michelle Lopes Maldonado. The mood is professional and optimistic.
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The Great American AI Act discussion draft is a step toward a coherent national AI framework.
But Congress must get the details right—strengthening independent reviews, adopting dynamic compute thresholds, refining protections of people & preemption provisions, & expanding transparency requirements.
ALT A statement about the Great American AI Act emphasizing the importance of AI development and governance, featuring Michelle Lopes Maldonado. The mood is professional and optimistic.
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2/ Read our full statement from Associate Director of AI Policy @techpolicymaven:
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