Shaping a resilient, secure, and globally competitive research ecosystem
| NSF SECURE Analytics Advisory Key Takeaways
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The government of China is overhauling its science and technology (S&T) ecosystem in ways that are sharpening geostrategic rivalry and impacting the risk portfolios managed by research security professionals. The June 2025 NSF SECURE Analytics Advisory outlines the geopolitical and security stakes for the United States.
Edited by Hoover Distinguished Research Fellow Glenn Tiffert and Texas A&M University System Associate Vice Chancellor Kevin Gamache, this advisory details the People’s Republic of China’s efforts to integrate basic science in priority fields with state-led mobilization of capital and S&T assets to enhance its global influence as an innovation hub; and advance policy goals such as self-reliance, economic and defense strength, and comprehensive national power.
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AOSE's Research Security Quarterly (RSQ)
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| Choose Europe for life sciences: A strategy to position the EU as the world’s most attractive place for life sciences by 2030
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Science and security in times of global political upheaval
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FY 2026 R&D Appropriations: The Presidential Budget Request
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Six signs North Korea has embedded agents in your company - and what to do about it
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CSIS issues espionage alert about suspect seeking sensitive information for Chinese intelligence
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Columbia University Hack Exposes Higher Ed Cyber Gaps
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The trade-offs of innovation in China in times of global technology rivalry
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| How Universities Would Overhaul Research Funding
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Australia urgently needs a national security strategy
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| The Enduring Impact of Science and Technology
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Turbulent research landscape imperils US brain gain - and ultimately American prosperity
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Energy Department Expands Commitment to Collaboration with Norway on Water Power Research and Development
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| Making Europe a global leader in life sciences
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How Artificial General Intelligence Could Affect the Rise and Fall of Nations
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The opinions expressed are those of the authors and do not necessarily reflect those of the RISC Institute or The Texas A&M University System. Some linked content may require a subscription for full access.
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