Opportunity Information: Apply for 23 608
The National Science Foundation (NSF) opportunity called Predictive Intelligence for Pandemic Prevention (PIPP) Phase II is a major center-scale funding program aimed at improving the worlds ability to anticipate, detect, and respond to emerging infectious disease threats before they become full-scale pandemics. NSF is framing the problem as both a scientific and national security challenge: new and re-emerging pathogens can disrupt human health, animal health, ecosystems, and economic stability, and current approaches often fall short because the work is too fragmented across disciplines and institutions. The program is designed to push beyond isolated projects by building sustained, coordinated, global-scale research efforts that integrate advances across biology, computation, engineering, mathematics, and the social sciences, and then translate that knowledge into practical tools and strategies.
At the heart of PIPP Phase II is the creation of a network of Centers, meaning large, interdisciplinary teams organized around ambitious research and development agendas. This Phase II Centers Program is described as the flagship effort that builds on earlier PIPP Phase I development grants, which helped teams refine ideas and partnerships. The Phase II goal is transformative capability: improving society's capacity to forecast the likelihood of pandemic-scale events, spot outbreaks earlier, and respond more efficiently when signals of emergence appear. In other words, the program is not only about understanding pathogens in the lab, but about building predictive intelligence that works across the full arc of a pandemic threat, from pre-emergence conditions through detection, mitigation, and response.
NSF is inviting Center proposals that primarily align with one of four multidisciplinary themes. Theme 1, Pre-emergence, focuses on predicting and detecting rare events in complex, dynamical systems, which reflects the reality that spillover and emergence can be low-probability but high-impact events influenced by changing ecological and biological conditions. Theme 2, Data, AI/ML and Design, targets computing, manufacturing, and technology innovation for pandemics, emphasizing data-driven methods, artificial intelligence and machine learning, and engineered systems that can speed up analysis, decision-making, and countermeasure development. Theme 3, The Host as the Universe, centers on identifying host-pathogen tipping points that determine whether an infection is controlled or spreads, highlighting critical transitions in immune response, pathogen adaptation, and within-host dynamics that can shape transmission and severity. Theme 4, Human Systems, addresses how human behavior, activities, and environments affect disease emergence, transmission, and the effectiveness of response or mitigation, recognizing that pandemics are shaped as much by social systems and incentives as by biology.
The program is explicitly cross-directorate at NSF, with joint collaboration among Biological Sciences (BIO), Computer and Information Science and Engineering (CISE), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE), and Mathematics and Physical Sciences (MPS). That structure signals what NSF expects from applicants: teams that genuinely bridge disciplines rather than placing them side-by-side. NSF also encourages involvement from additional research communities, including use-inspired research efforts, which implies interest in partnerships and pathways that move foundational advances into real-world practice, tools, or decision support systems.
From an administrative standpoint, this is a discretionary grant opportunity run by NSF under Funding Opportunity Number 23-608, categorized under science and technology research and development. The listed CFDA numbers are 47.041, 47.049, 47.070, 47.074, and 47.075, reflecting the multi-directorate nature of the program. The opportunity anticipated around 7 awards, with an award ceiling of up to $18,000,000, which reinforces that these are intended to be large, center-like investments rather than typical single-investigator grants. The original closing date was December 8, 2023, and the eligible applicants field points to additional eligibility details in the full solicitation text.
Overall, PIPP Phase II is positioned as an effort to build durable scientific infrastructure and coordinated expertise for pandemic prevention, combining foundational research with scalable technologies and socially grounded approaches. The underlying message is that preventing or limiting the next pandemic requires predictive capacity across biological emergence, data and computation, host-pathogen dynamics, and human systems, all working together through sustained, team-based center programs rather than short-term, disconnected projects.Apply for 23 608
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Predictive Intelligence for Pandemic Prevention Phase II" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041, 47.049, 47.070, 47.074, 47.075.
- This funding opportunity was created on Jul 22, 2023.
- Applicants must submit their applications by Dec 08, 2023. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $18,000,000.00 in funding.
- The number of recipients for this funding is limited to 7 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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Predictive Intelligence for Pandemic Prevention (PIPP) Phase II (NSF) - FAQs
What is the NSF Predictive Intelligence for Pandemic Prevention (PIPP) Phase II opportunity?
PIPP Phase II is a major, center-scale National Science Foundation (NSF) funding opportunity aimed at improving the world's ability to anticipate, detect, and respond to emerging infectious disease threats before they become full-scale pandemics. It is designed to move beyond fragmented, isolated efforts by supporting sustained, coordinated, global-scale research and development.
What problem is NSF trying to solve through PIPP Phase II?
NSF is addressing the challenge that new and re-emerging pathogens can disrupt human health, animal health, ecosystems, and economic stability, and that existing approaches often fall short because work is too fragmented across disciplines and institutions. PIPP Phase II is intended to build integrated predictive intelligence that spans the full arc of a pandemic threat, from pre-emergence through detection, mitigation, and response.
What does "Phase II" mean in this program?
PIPP Phase II is described as the flagship Centers Program that builds on earlier PIPP Phase I development grants. Phase I supported teams in refining ideas and partnerships, while Phase II focuses on establishing large interdisciplinary Centers with ambitious research and development agendas aimed at transformative capability.
What is the main goal of PIPP Phase II?
The main goal is transformative capability for pandemic prevention: improving society's capacity to forecast the likelihood of pandemic-scale events, detect outbreaks earlier, and respond more efficiently when early signals of emergence appear.
What kind of projects does NSF want funded under PIPP Phase II?
NSF is inviting proposals for Centers: large, interdisciplinary teams organized around ambitious, coordinated research and development agendas. The program emphasizes integration across biology, computation, engineering, mathematics, and the social sciences, with translation of knowledge into practical tools and strategies.
Does PIPP Phase II focus only on lab-based pathogen research?
No. While understanding pathogens is part of the landscape, NSF emphasizes building predictive intelligence that works across pre-emergence conditions, detection, mitigation, and response. The program explicitly calls for integrating multiple disciplines and translating advances into practical tools, strategies, and decision support.
How is NSF organizing the scientific focus of the program?
NSF indicates that Center proposals should primarily align with one of four multidisciplinary themes: Pre-emergence; Data, AI/ML and Design; The Host as the Universe; and Human Systems.
What is Theme 1 (Pre-emergence) about?
Theme 1 focuses on predicting and detecting rare events in complex, dynamical systems. It reflects the reality that spillover and emergence can be low-probability but high-impact events shaped by changing ecological and biological conditions.
What is Theme 2 (Data, AI/ML and Design) about?
Theme 2 targets computing, manufacturing, and technology innovation for pandemics, with an emphasis on data-driven methods, artificial intelligence and machine learning, and engineered systems that can speed analysis, decision-making, and countermeasure development.
What is Theme 3 (The Host as the Universe) about?
Theme 3 centers on identifying host-pathogen tipping points that determine whether an infection is controlled or spreads. It highlights critical transitions in immune response, pathogen adaptation, and within-host dynamics that can shape transmission and severity.
What is Theme 4 (Human Systems) about?
Theme 4 addresses how human behavior, activities, and environments affect disease emergence and transmission, as well as the effectiveness of response or mitigation. It recognizes that pandemics are shaped by social systems and incentives as much as by biology.
Is PIPP Phase II a cross-disciplinary or single-discipline program?
It is explicitly cross-directorate at NSF, involving joint collaboration among multiple NSF directorates. NSF signals that it expects teams to genuinely bridge disciplines rather than placing them side-by-side.
Which NSF directorates are involved in PIPP Phase II?
The opportunity is cross-directorate, with joint collaboration among Biological Sciences (BIO), Computer and Information Science and Engineering (CISE), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE), and Mathematics and Physical Sciences (MPS).
Does NSF encourage partnerships or pathways to real-world use?
Yes. NSF encourages involvement from additional research communities, including use-inspired research efforts, and emphasizes translating knowledge into practical tools and strategies that can be used for pandemic prevention and response.
What type of funding opportunity is PIPP Phase II?
It is a discretionary NSF grant opportunity categorized under science and technology research and development.
What is the Funding Opportunity Number for PIPP Phase II?
The Funding Opportunity Number is 23-608.
What CFDA numbers are associated with this opportunity?
The listed CFDA numbers are 47.041, 47.049, 47.070, 47.074, and 47.075, reflecting the multi-directorate nature of the program.
How many awards does NSF anticipate making under PIPP Phase II?
NSF anticipated around 7 awards.
What is the maximum award size mentioned for PIPP Phase II?
The award ceiling is up to $18,000,000, reinforcing that these are intended to be large, center-like investments rather than typical single-investigator grants.
When was the original closing date for PIPP Phase II?
The original closing date was December 8, 2023.
Who is eligible to apply?
The eligibility field points to additional eligibility details in the full solicitation text. No specific applicant types are listed in the information provided here.
What distinguishes PIPP Phase II Centers from smaller research grants?
PIPP Phase II is structured around a network of Centers with sustained, coordinated efforts and large interdisciplinary teams, supported by a high award ceiling. The program is intended to build durable scientific infrastructure and coordinated expertise rather than short-term, disconnected projects.
What outcomes is NSF aiming for with PIPP Phase II?
The program is positioned to build durable scientific infrastructure and coordinated expertise for pandemic prevention by combining foundational research with scalable technologies and socially grounded approaches. The emphasis is on improved forecasting, earlier detection, and more efficient response capabilities.
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