Analyze. Protect. Train.

NSF SECURE Analytics provides the U.S. research community with data-driven insights, practical tools, and a due diligence platform to identify and manage research security risks.

About NSF SECURE Program

The NSF SECURE Program (Safeguarding the Entire Community in the U.S. Research Ecosystem) is the U.S. National Science Foundation’s flagship initiative to strengthen research security across the U.S. research enterprise while preserving the openness and international collaboration that are essential to scientific discovery. NSF SECURE Program duties are directed in the CHIPS and Science Act of 2022, Pub. L. No. 117-167, § 10338(b), 136 Stat. 1554–55 (2022). NSF SECURE Program Overview (PDF)

NSF SECURE Analytics is led by Texas A&M University in partnership with the Hoover Institution at Stanford, Finch AI, and the University of Pittsburgh. Funded by the U.S. National Science Foundation, Award ID: 2403953.

Who We Serve

Academic institutions of all sizes · Non-profit research organizations and national laboratories · Small and medium-sized businesses · Research administrators, faculty, and research security professionals


Deliverables

AI-Driven Research Security Platform (ARGUS)

ARGUS, the flagship data collection, analysis, and reporting platform for NSF SECURE Analytics, integrates research intelligence, natural language processing, and machine learning to deliver actionable insights that will help safeguard the U.S. research ecosystem.

Reports and Advisories

Rigorous and empirical advisories that empower the research community to identify and mitigate potential research security risks through timely, actionable information on critical areas of science and technology development with implications for international research collaboration.

Due Diligence Training for ARGUS Risk Assessments

NSF SECURE Analytics due diligence training provides ARGUS users with specific instruction on how to identify, interpret, and respond to bibliometric data reports and other research security risk indicators generated through the platform.

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

Allen DiPalma

deputy director
university of pittsburgh

Glenn Tiffert

DEPUTY director
Hoover institution

Ivett Leyva

CO-PI
Texas A&M university

Will Norris

CO-PI
Texas A&M university

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!