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2026 DATA SUMMIT
LOCATION: Convene Hamilton Square, 600 14th Street Northwest, Washington, DC 20005
DATE: Thursday, June 4, 2026
TIME: 9:00 AM - 5:00 PM ET
Symposium on Public Data as Strategic Infrastructure
The Data Foundation Symposium on Public Data as Strategic Infrastructure will feature interactive demonstrations and formal presentations from Data Foundation Senior Fellows and other invited guest speakers. Public data collected and managed by government agencies informs decisions, markets, and forecasts, while providing the basis for insights that underlie the mechanics of daily life in the United States. Symposium presenters will demonstrate the value of public data as strategic infrastructure across sectors. Topics covered in the morning’s symposium will include the use of these data sources for training artificial intelligence applications, responding to emerging public health threats, and enabling technological solutions to detect and prevent fraud.
Government data has long been an accessible and trusted source of information for researchers, industries, journalists, policymakers, and the public. The future modernization of our data and evidence infrastructure, powered by artificial intelligence and guided by budget constraints, will require thoughtful conversations about how to improve the data we collect and maximize the impact of our data investments across American society. As needs, resources, and tools to leverage data evolve, symposium presenters will invite our audience to consider:
Public data is strategic infrastructure. How do we ensure decision-makers, researchers, and the public have the information they need for today’s questions and the future’s needs? Join the Data Foundation for a full-day event, featuring a morning symposium and afternoon event that will feature dynamic tools, frank discussion, and collaborative efforts that push us to answering our four core questions. The morning’s focus on data as strategic infrastructure will precede afternoon programming focused specifically on the value of better data for guiding organizations’ investment decisions and managing exposure to climate and environmental risks.
The agenda will be added shortly.
2026 RegTech Data Summit: Managing Environmental Risk Through Better Data
As local communities, investors, insurers, industries, and states integrate climate, environmental, and natural disaster data into their operations and risk assessments, they face a fundamental data challenge: the information they rely on is often incomplete, inconsistent, or incompatible across sources and for differing uses. The Data Foundation’s RegTech Data Summit 2026: Managing Environmental Risk Through Better Data, hosted in Washington, D.C. on June 4, will address the questions, what is the better future we are working towards, and why; what are the data needs; who needs the data; and how are they getting that data?
Poor data quality, conflicting definitions, and fragmented systems create significant risk exposure and result in not only operational inefficiency but genuine uncertainty about whether organizations truly understand their climate-related exposures.
And yet, there are signs of collaborative and innovative efforts leading to solutions.
At the core of the AI revolution is data. Data train machine learning models and shape the outputs of AI systems in ways that directly impact human lives. To build safe and effective AI systems, the data that feed AI must be high-quality and reliable. Considering AI through a data policy lens offers an opportunity to develop a comprehensive approach to safe, secure, and trustworthy AI use in government.
AI capabilities present tremendous opportunities for driving innovation, spur economic growth, and developing solutions to support social challenges. AI technologies also present complex challenges and questions for policymakers to address to ensure AI tools are responsible and trustworthy.
The agenda and speakers will be added shortly.
