Analyze. Protect. Train.

NSF SECURE Analytics is the data collection, analysis and reporting hub for the Safeguarding the Entire Community of the U.S. Research Ecosystem (SECURE) Program, established by the U.S. National Science Foundation (NSF), to train and enhance the research community's ability to mitigate and prevent foreign interference in research.

About NSF SECURE Analytics

NSF SECURE Analytics provides the research community with data-driven insights, analytical products, and an enhanced risk-informed due-diligence platform that will help safeguard the security of the research enterprise.

We serve institutions of higher education, other non-profit research performing organizations, and small and medium-sized businesses.

NSF SECURE Analytics is led by Texas A&M University in partnership with the Hoover Institution at Stanford University.

Mission and Vision

The mission of NSF SECURE Analytics is to identify and analyze patterns of foreign interference in research, share information on research security risks, and enhance the community’s understanding of whom they are collaborating with; whom their collaborators are collaborating with; who is funding those collaborations; whether a foreign government nexus exists; the research security risks those collaborations entails; and how those risks can be mitigated.

Proactive Risk Mitigation

Move beyond reactive measures to anticipate and mitigate potential threats.

Data-Driven Decision Making

Provide evidence-based insights to support informed decisions about research security.

Enhanced Collaboration

Foster cooperation between government agencies and the research community.

Protection of Research Integrity

Protect and safeguard the integrity of U.S. research and intellectual property.

Products and Services

NSF SECURE Analytics delivers tools and resources to stakeholders across the research community to enhance their ability to make risk-based decisions.

Large datasets

Large qualitative and quantitative datasets on publications, patents, investments, government policies, and other relevant information.

AI-driven tools

AI-driven tools that transform these datasets into actionable insights for the research community.

Argus platform

The flagship data collection, analysis and reporting platform for NSF SECURE Analytics to empower the research community to mitigate foreign interference in research. See more here.

Stakeholder training

Stakeholder training on risk identification, assessment, and mitigation.

Reports and advisories

Empirical reports and advisories on research security risks. See more here.

People

The NSF SECURE Analytics team is internationally recognized for building robust academic research security programs and pioneering empirical methods for research on research security.

Kevin Gamache

director
texas A&M University

Glenn Tiffert

DEPUTY director
Hoover institution

Contact us

We appreciate your interest in the NSF SECURE Analytics. If you are interested in getting involved, have a data analytics tool or expertise in a key area as it relates to research security, please reach out to us!