Issue: ORN-2026-42
NJIT Research Newsletter includes recent awards, and announcements of research related seminars, webinars, national and federal research news related to research funding, and Grant Opportunity Alerts (with links to sections). The Newsletter is posted on the NJIT Research Website https://research.njit.edu/funding-opportunities.
United States Government (USG) Policy for Stopping High-Risk Life Sciences Research
The U.S. Government Policy for Stopping High-Risk Life Sciences Research, issued in July 2026, fundamentally shifts federal oversight of biological research from risk mitigation to outright prohibition of designated high-risk activities, expanding the scope from previous policies to include even computational research. Under this new policy, federally funded institutions must identify, review, and, where necessary, halt proposed and ongoing research that meets broad definitions for Dangerous Gain-of-Function Research (DGOFR), potential DGOFR, or International Research of Concern (IROC). Federal funding is categorically prohibited for DGOFR and certain IROC, and potential DGOFR is subject to stringent third-party review. Institutions and principal investigators now bear primary responsibility for compliance, and are required to implement new internal review mechanisms, annual reporting, and certification processes, with noncompliance resulting in severe penalties, including funding revocation and multi-year federal ineligibility, all on an accelerated implementation timeline culminating in full compliance by January 2027, with a retroactive lookback to July 2026.
Federal funding agencies (NSF, NIH, etc.) must release their operational and compliance guidance by November 17, 2026. Specific implementation details will not be available until after the guidance is made public.
NIH Notice: NOT-OD-26-101: USG Policy for Stopping High-Risk Life Sciences Research
The Federal Government is issuing a new United States Government (USG) Policy for Stopping High-Risk Life Sciences Research pursuant to Section 4 of Executive Order 14292. NIH is working with the Administration and its Interagency partners to fully implement this new USG Policy, which includes an explicit prohibition on dangerous gain-of-function research. All research activities identified as potential dangerous gain-of-function research per NOT-OD-25-127 and NOT-OD-25-112 remain paused until NIH specific implementation requirements are established.
The USG Policy for Stopping High-Risk Life Sciences Research defines areas of life sciences research posing the greatest risk to our Nation's security, implements federal funding prohibitions, and establishes a robust framework for mitigating risk and ensuring compliance. Two broad categories of life sciences posing the highest risk are identified:
Dangerous gain-of-function (DGOF) research. Research with a biological agent that seeks, achieves, or has a substantial risk of achieving one or more of the outcomes listed in the Policy and could result in significant negative societal consequences.
International research of concern (IROC). Research conducted in a country of concern or outside of the United States by individuals or institutions of concern; or research that could reasonably pose a threat to public health, public safety, and economic or national security conducted in a country with inadequate oversight.
The new Policy explicitly prohibits any federal support for DGOF research, as defined therein, as well as research conducted in or involving countries or entities of concern. It also establishes a comprehensive, risk-based oversight framework for all other life sciences research, including new restrictions on international research conducted in countries lacking adequate oversight. Actions required of investigators, research institutions, and federal funding agencies are backed by strong enforcement, accountability, and transparency measures.
NSF: NSF Graduate Research Fellowship Program (GRFP); Expeditions in Computing (Expeditions); Emerging Frontiers in Research and Innovation (EFRI)
NIH ADVANCED RESEARCH PROJECTS AGENCY FOR HEALTH (ARPA-H): Simulation-augmented, Real-time Platform Adaptive Seamless Trials (SURPASS)
Department of War/US Army/DARPA/ONR: Young Faculty Award (YFA) 2027; The Science, Mathematics and Research for Transformation (SMART) Scholarship for Service Program Cooperative Agreement; Fiscal Year (FY) 2027 Department of War Multidisciplinary Research Program of the University Research Initiative (MURI)
NIH: NextTech: Translational Development of Next-Generation Diagnostic and Therapeutic Devices (R18); Collaborative Program Grant for Interdisciplinary Teams (RM1)
Department of Energy: Genesis Mission Graduate Fellowship Pilot
NASA: Space Technology Research Institutes
USPTO looks to AI agents to ease examiner workloads: Although agentic artificial intelligence systems are poised to help the U.S. Patent and Trademark Office significantly reduce the time it takes to review applications by streamlining rote tasks, a top official with the agency said the capabilities also have another added benefit — empowering skilled examiners to rely more on human-to-human interactions rather than the typical stream of impersonal correspondence. Barry Schindler, USPTO’s acting commissioner for patents, said the agency currently has a diverse staff of patent reviewers, including PhD biochemists who review relevant patent applications. Rather than bogging these personnel down with tedious tasks during the three-step pre-exam, examination and post-exam patent lifecycle process, Schindler said USPTO has turned, in part, to a new agentic tool — called Compass — to help. Examiners reviewing man-made or altered DNA sequences, for instance, first have to see if the submitted sequences are correct before determining whether or not they can be patented. More information is posted on the NextGov website.
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Tech bills of the week: Preventing AI model theft; Regulating AI-generated political content; and more: A proposal from Reps. Pat Harrigan, R-N.C., and George Whitesides, D-Calif., looks to prevent distillation attacks against U.S.-made AI models by directing the National Institute for Standards and Technology to develop voluntary industry standards and best practices in partnership with private-sector model developers. The bill would also create an AI Cybersecurity Roundtable to help foster partnerships between critical infrastructure operators and tech firms to develop additional approaches for enhancing the cyberdefenses of the AI capabilities. The proposal names Russia, China, Iran and North Korea — as well as “entities” tied to them — as actors of particular concern behind distillation attacks, which seek to copy AI models by overwhelming them with millions of prompts to create a knockoff version.
Rep. Shontel Brown, D-Ohio, introduced a bill on Monday that seeks to promote transparency around the use of artificial intelligence-generated content in political ads and curtail uses of AI to affect Americans’ voting rights.
Reps. Ashley Hinson, R-Iowa, and Hillary Scholten, D-Mich., rolled out legislation on Wednesday that seeks to enhance early cancer detection by making screening recommendations easier to understand for Americans. More information is posted on the NextGov website.
National Science Foundation
ARPA-H
DARPA
Department of War
National Institutes of Health
NASA
The NJIT Proposal Submission Guidelines and Policy provides the expected institutional timeline for proposal submission. Streamlyne User Manuals are posted on https://research.njit.edu/streamlyne. For contact information on proposal submission, pre-award services and post-award grant management, please visit research website https://research.njit.edu/researchers and https://research.njit.edu/contact.