About NSF SECURE Analytics
The NSF SECURE Analytics cooperative agreement is part of the larger NSF SECURE Program, a $67 million initiative funded by NSF and authorized by the CHIPS and Science Act of 2022, consisting of two components:
The National NSF SECURE Center, led by the University of Washington, focuses on developing and sharing best practices for research security, providing training, and facilitating communication between the research community and government agencies; and
NSF SECURE Analytics, led by Texas A&M University in partnership with the Hoover Institution at Stanford University and Parallax Advanced Research, is specifically dedicated to developing data-driven tools and analytics to identify and assess risks to research security.
Mission and Vision
The mission of NSF SECURE Analytics is to leverage the power of data and analytics to strengthen the security and integrity of the U.S. research ecosystem.
NSF SECURE Analytics intends to achieve this mission by developing a comprehensive data platform; creating analytical tools and models; enhancing risk assessment; and improving comprehension of research security threats.
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.
Deliverables
NSF SECURE Analytics intends to deliver tools and resources to stakeholders across the research community to enhance their ability to make risk-based decisions.
Open-source datasets, methodologies and tools
Our team will develop materials to identify and analyze patterns of research security risk, threat types, and malign actors.
Engagement and collaboration
Working hand-in-hand with stakeholders to meet their needs, address their concerns, and enhance their research security capacity.
Community-facing query platform
Accredited users empowered to query the research priorities, collaboration networks, and professional associations of potential international research partners.
Proprietary data analysis
Leveraging our back-end granularity and functionality to conduct data analysis supporting enhanced incident and landscape analyses and timely research security risk reports.
Reference library of policies, leading practices and reports
A resource intended to raise situational awareness for stakeholders of global research security risk.
Training coordinated with National SECURE Center
Capacity building training on research security risk detection, assessment, and mitigation in coordination with the SECURE Center.
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. Stanford University Professor Elisabeth Paté-Cornell will provide expertise on risk modeling.
Kevin Gamache
PI and director
texas A&M University
Glenn Tiffert
Co-pi
Hoover institution
LJ Eads
Parallax advanced research
News and Events
NSF SECURE Program leaders to engage research community
Dec. 20, 2024 – Participants at the 2025 ASCE Seminar will hear from the NSF SECURE Program leadership, who hope to utilize the annual gathering to communicate and receive valuable input from the research community.
National Science Foundation turns to Texas A&M to protect sensitive research
July 24, 2024 – The U.S. National Science Foundation picked Texas A&M University today to be part of a comprehensive national project to keep sensitive American research out of the hands of foreign entities.
NSF-backed SECURE Center will support research security, international collaboration
July 24, 2024 – Today, the U.S. National Science Foundation announced a five-year $67 million investment establishing the Safeguarding the Entire Community of the U.S. Research Ecosystem (SECURE) ($50 million to University of Washington and $17 million to 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!