Data Innovation

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.

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.

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.

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.

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.

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.

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

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.

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.

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.