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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.

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Industry-University Partnerships to Create AI Universities: A Model to Spur US Innovation and Competitiveness in AI

Industry-University Partnerships to Create AI Universities: A Model to Spur US Innovation and Competitiveness in AI

A collaboration between the University of Florida and NVIDIA provides five lessons for effective industry-university partnerships.

More Publications and Events

January 19, 2023|Events

How Can Policymakers Deter Fake Online Reviews?

Join ITIF's Center for Data Innovation for a panel discussion about the prevalence of fake online reviews, their impact on companies and consumers alike, and steps policymakers can take to stop their spread.

January 17, 2023|Events

Where Should US AI Policy Be Headed Next?

Join ITIF's Center for Data Innovation for a panel discussion on the impact and efficacy of AI policy to date. Experts will debate on how policymakers can best nurture the capabilities and activities of the U.S. AI ecosystem moving forward.

December 7, 2022|Events

How Does the Data Divide Impact Global Policy Challenges?

Join the Center for Data Innovation for a panel discussion about the impact of the data divide on critical global policy challenges and the ways reducing these disparities might help drive global data-driven innovation and prosperity.

November 25, 2022|Op-Eds & Commentary

Better Data Collection Can Fight Inequality

Data has become invaluable in today’s economy. The extent to which individuals and communities can collect and put it to productive use helps determine everything from health outcomes to public safety and economic growth.

November 22, 2022|Events

How Should the EU Approach the Metaverse?

Watch the discussion presented by ITIF's Center for Data Innovation on what policy issues EU policymakers should focus on in a possible metaverse initiative.

November 14, 2022|Events

The Costs and Benefits of Security-by-Design in the Cyber Resilience Act

Watch the webinar where ITIF's Center for Data Innovation lead a discussion on the Cyber Resilience Act, the basics of security-by-design, and whether a security-by-design approach will effectively tackle future cybersecurity risks.

November 9, 2022|Presentations

4th Annual European Data Economy Conference Introductions

Kir Nuthi introduces this year's data economy conference by ForumEurope with keynotes from the Czech Presidency and critical MEPs

November 9, 2022|Presentations

Unleashing the Untapped Potential of Data: Is the Policy Framework For Data Sharing Fit For Purpose?

Kir Nuthi moderates a discussion about whether Europe's proposed regulatory framework is enough to develop a culture of data-driven innovation for the 4th Annual European Data Economy Conference by ForumEurope.

November 9, 2022|Testimonies & Filings

Comments to the Census Bureau on 2030 Census Preliminary Research

In preparation for the 2030 Census, the Center for Data Innovation would encourage the Census Bureau to consider its role in closing the data divide. The data divide refers to the social and economic inequalities that result from a lack of data collection and use of data by certain individuals and communities. In a world where opportunities and services are intricately linked to data, the way people are reflected in datasets and their ability to use datasets about themselves significantly impacts their ability to participate in the data economy.

November 8, 2022|Events

Book Talk on “The Equality Machine” With Orly Lobel

Watch the conversation with Lobel, whose vivid examples—from labor markets to dating markets—provide powerful evidence for how we can harness technology for good.

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