Tune in March 24 at 2PM EDT

Protecting the U.S. research enterprise requires more than trust—it requires verification. Federal agencies and research institutions continue to rely primarily on self-reporting to disclose conflicts of interest. However, this good faith model fails against bad faith actors who actively conceal participation in Malign Foreign Talent Recruitment Programs (MFTRPs). These programs strategically target the most productive and prestigious researchers, creating an outsized risk to U.S. scientific leadership and economic security. When reliance on disclosure fails, how can funding agencies prevent U.S. taxpayer-funded innovation from being exported to foreign adversaries?

Join Dr. Shirley Han, Head of Research Analytics at Digital Science, to learn how to shift your stance from reactive damage control to proactive risk identification. Attend this webinar to learn how to:

• Move beyond reliance on self-reporting: Understand why traditional web searches and self-disclosure forms cannot keep pace with sophisticated efforts to exploit the U.S. research enterprise.
• Proactively identify malign influence before a grant is awarded: Leverage global research data—from publication and patent acknowledgments to clinical trials—to uncover undisclosed conflicts of interest early in the cycle.
• Operationalize automated vetting: Integrate data-driven screening into your existing workflows to ensure rigorous compliance without stalling the speed of innovation.