Research

Submit Letter of Intent // Limit: 2 (lead organization) // Limit: 2 

Limiting Language
An eligible organization can submit a maximum of two Written Proposals per Topic Announcement for Phase 0 as a lead organization. Senior/Key Personnel may be listed on a maximum of one Written Proposal per Topic Announcement.

Topic Description 
Decades of progress in AI algorithms, robotics, sensing, and embedded computing, combined with accelerating industry investment, have positioned the U.S. to redefine how intelligent systems interact with the physical world. While digital AI has advanced rapidly, the next frontier requires developing intelligent, adaptive, and scalable systems capable of perceiving, acting and learning directly within complex physical environments with adaptive human-robot interaction.

Achieving this vision demands innovations in foundational platform technologies to support situational adaptability, continuous learning, and right-sized simulation-to-reality systems. 

Imagine heterogeneous autonomous swarms in military and disaster triage environments capable of high-stakes collective decision making in collaboration with human counterparts and the situational adaptability to perform complex locomotion, sensing, and targeted delivery tasks. Or bio-inspired robotics that operate with adaptive sensing for reflexive sensor input control, neuromorphic cognitive efficiency, and self-healing materials and behaviors. These advances demand significant, continual, and cross-disciplinary ecosystems to save lives, and catalyze U.S. technological and economic innovation. 

NSF X-Labs teams will target early-stage platform technologies that enable breakthroughs to accelerate entirely new forms of AI integration in physical systems including advanced sensors, robotics, embodied systems, human-robot interfaces, or cyber-physical systems. Examples of relevant Missions include, but are not limited to: technologies to enable new forms of distributed learning and swarming; adaptive behavior in the absence of connectivity; novel algorithms for sensor integration into digital twin or cyber-physical simulations; new capabilities in edge AI for physical systems; new modalities for AI control of emerging robotics such as bio-inspired or biohybrid components; platforms to support the next generation of robotic manufacturing based on mass-customizability and intuitive learning; and breakthroughs in the development of training data that, together with other advances, prepare physical AI systems for real-world variability including interactions with human counterparts. The resultant innovative platform technologies should benefit a broad range of application domains critical to U.S. competitiveness and security, which may include healthcare, national defense, emergency response, advanced manufacturing, and scientific discovery. 

An NSF X-Labs Mission in this Topic must be transformative, accelerating breakthrough R&D in physical AI towards creating or reshaping new lines of research and technologies. Successful teams will develop platform technologies, overcome technical barriers facing AI for physical systems, demonstrate measurable impact on the U.S. science and technology landscape, and position their technologies for widespread use and investment. Teams proposing to this Topic must justify that their proposed Mission will develop a technology not presently supported by existing R&D investments by the U.S. public or private sector. 

Examples of challenges not considered in scope for this Topic include computational or software solutions without practical integration into a physical system, integration of current technologies without significant advancement of the state-of-the-art, development of technologies where the impact is narrow and not widely deployable, fundamental research without potential for application in platform technologies, incremental advancement of the state-of-the-art, or advancement of technologies that are already appropriately developed to the point of full-scale commercialization.

Apply to Internal Competition // Limit: 2 // Tickets Available: 2

Limiting Language 
Submissions will be evaluated to ensure they align with our mission and funding criteria. A limit of two proposals may be submitted from the same institution, researcher, or foundation.

Program Overview
SebastianStrong Foundation is a 501c3 nonprofit organization dedicated to raising awareness of childhood cancer and accelerating the development of more targeted, less toxic treatments by funding bold, early-stage research. Since 2017, we have awarded over $4 million to cutting-edge, peer-reviewed pediatric cancer research. Through strategic partnerships, matched contributions, and follow-on funding secured by investigators, our overall impact now exceeds $6 million.
 

We exist because kids deserve better. Too many promising ideas in pediatric cancer research go unfunded due to limited institutional support, lack of commercial incentive, and minimal government investment, especially for rare and relapsed cancers. At SebastianStrong, we focus exclusively on childhood cancers, where small patient populations often mean traditional funders and pharmaceutical companies overlook research.

ABOUT THE DISCOVERY SCIENCE AWARD

The Discovery Science Award typically provides up to $500,000 in funding for groundbreaking research that aligns with our mission. In select cases, proposals demonstrating exceptional potential for impact and scalability may be considered for higher levels of support.

Our Scientific Advisory Board, composed of leading pediatric oncologists and researchers, conducts a two-stage review process. First, Letters of Intent (LOIs) are evaluated to identify projects that best align with our mission and funding priorities. Selected applicants are then invited to submit a full proposal, which is reviewed in detail to determine final award decisions. Funding recommendations are made by the Scientific Advisory Board and approved by the Foundation’s Board of Directors.

To be considered for funding, proposals must meet the following criteria:

1. Are focused on pediatric cancer
2. Will lead to less toxic, more targeted treatments
3. Are clearly communicated in lay terms (accessible to our Board and donor community)
4. Demonstrate strong potential to progress toward a clinical trial in 1-3 years

We welcome new, ongoing, and updated peer-reviewed research. However, we do not accept in-progress or ongoing clinical trials. Any author or researcher conflict of interest must be disclosed at the time of submission. All submissions are treated as CONFIDENTIAL and are accessible only to members of SebastianStrong’s Board of Directors and Scientific Advisory Board until the time of award. We are happy to execute NDAs upon request.

WHAT WE’RE LOOKING FOR

SebastianStrong funds one or more proposals each year that advance meaningful change in pediatric cancer treatment. We are especially interested in research that:

• Focuses on pediatric cancers with low survival rates or high relapse rates
• Has transitional potential within 36 months
• Pursues underfunded or unconventional approaches that could change the status quo

Request Ticket // Limit: 1* (additional application possible for cancer types specified below) // Tickets Available: 1

Limiting Language

• Each institution may submit one (1) LOI/application in each open St. Baldrick’s funding category. 
• ATTENTION:  St. Baldrick’s Foundation has identified the areas below as funding interests and has donors interested in supporting meritorious projects in these areas. To encourage submissions in these priority areas, institutions may submit one additional LOI beyond the standard limited submissions. Only one additional submission is permitted per institution for the entire cycle (Research, Scholar, International Scholar or Survivorship & Supportive Care Research Grant); this does not allow one additional submission in each program or funding category. 
  • Brain tumors – all types, including rare forms, especially atypical teratoid/rhabdoid tumor (AT/RT), diffuse intrinsic pontine glioma (DIPG)/diffuse midline glioma (DMG), and glioblastoma (GBM) 
  • Burkitt lymphoma – all types, especially sporadic 
  • Rhabdoid tumors - Extrarenal 
• Applications submitted in the above funding interest areas will be considered in a separate study section. 

Program Overview
These grants are for specific two-year research projects which are hypothesis driven and may be either laboratory, clinical, or epidemiological in nature. Please submit a realistic budget for the project. Grants will be $100,000/year or less, for two years.

No Applicants // Limit: 1 // Tickets Available: 1

Limiting Language
An organization may submit only one application as lead applicant and may apply for only one region. An organization may participate as a partner or subrecipient on applications for other regions, provided such participation does not create conflicts of interest or compromise the organization’s ability to fulfill its primary commitment.

Summary
Child welfare agencies continue to face challenges in recruiting and matching adoptive families for children awaiting permanency, due in part to outdated processes, limited data integration, and inconsistent access to effective tools. Most jurisdictions rely on static photo listing services, fragmented data systems, and manual caseworker knowledge to identify potential matches. While existing national recruitment resources provide important visibility for waiting children, there is a growing need for modern, technology-enabled approaches and tools that actively support caseworkers in timely, data-informed, and high-quality matching decisions. 

ACF will fund regional innovation hubs to design, implement, and evaluate human- centered technology-enabled solutions that improve adoptive family recruitment and matching. These solutions may include data-informed recruitment tools, AI-assisted matching, and predictive analytics to accelerate permanency for children in foster care. 

ACF expects to fund three regional innovation hubs—you must apply to the appropriate region: 

• Eastern Region. 
• Central Region. 
• Western Region. 

Innovation hubs will partner with pilot jurisdictions in their region to develop, deploy, and evaluate these tools; strengthen agency capacity; and support implementation through intensive technical assistance, training, and continuous quality improvement. Hubs will also disseminate tools, best practices, and lessons learned to jurisdictions across their region and collaborate nationally to promote shared learning.

For the purposes of this NOFO, pilot jurisdictions must be public child welfare agencies that administer Title IV-E foster care and adoption assistance programs at the state, territorial, tribal, or local level. 

If awarded, recipients will focus on the following activities: 

• Applied research, development, and testing of technology-enabled recruitment and matching solutions. 
• Training, coaching, and technical assistance to support implementation. 
• Advancement of interoperability and data standards. 
• Implementation of privacy, security, and safeguards. 
• Dissemination and knowledge sharing to support the broader field. 

To support effective implementation of all program activities, each innovation hub must establish and implement a robust performance measurement and continuous quality improvement (CQI) framework to assess progress, inform decision-making, and drive continuous improvement. 

Through these activities, the program aims to accelerate permanency, improve the quality and stability of adoptive placements, and strengthen the child welfare system’s ability to use data and technology to support children and families.

No Applicants // Limit: 1 // Tickets Available: 1 

Limiting Language
Only one application per institution (normally identified by having a unique UEI number or NIH IPF number) is allowed.

Purpose
In response to a longstanding congressional mandate (P.L. 98-619, Departments of Labor, Health and Human Services, and Education and Related Agencies Appropriation Act, 1985), NIMHD invites applications from eligible institutions to establish a national coordinating center (CC) for the Research Centers in Minority Institutions (RCMIs) initiative. The RCMI CC will coordinate activities across funded RCMI U54 Centers, prospectively evaluate the overall RCMI program, and serve as a national resource to help these centers achieve their primary goals. The RCMI CC will be responsive to requests generated by RCMI site key personnel, NIMHD, NIH, the scientific community, and the general public. 
 

No Applicants // Limit: 2 // Tickets Available: 2

Limiting Language 
Only two applications per institution (identified by Unique Entity Identifier (UEI) number or NIH IPF number) are allowed.

Program Description
Full sponsor guidelines are linked here.

The NIH Director's Early Independence Award helps talented new researchers begin their own independent research program soon after finishing their doctoral degree or clinical training, without first doing postdoctoral training.The award accepts applications on any topic fitting the NIH mission. It is part of the NIH Common Fund's High-Risk, High-Reward Research program.

Eligible Individuals (Program Director/Principal Investigator)
Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as the Program Director(s)/Principal Investigator(s) (PD(s)/PI(s)) is invited to work with their organization to develop an application for support. 

Requirements

• One PD/PI only: Applications can have only one PD/PI. Multiple PD/PIs are not allowed. Only the PD/PI may be listed as Senior/Key Personnel and submit a biosketch.
• Citizenship: U.S. citizenship is not required. If the PD/PI is not a U.S. citizen, the institution must ensure the visa permit allows them to do the proposed research in the U.S. for the full project period.
• Degree or clinical training dates: The PD/PI must complete their terminal doctoral degree or post-graduate clinical training between May 1, 2025, and September 30, 2027.
  • The date shown on the official transcript is considered the date the degree was completed.
  • Clinical training includes residency and fellowship.
  • At the time of award, either:
    • The PD/PI must have an eligible doctoral degree from an accredited U.S. or foreign institution, oR
    • An authorized official must confirm all degree requirements are complete and the degree will be awarded before September 30, 2027.
• Post-doctoral experience: The PD/PI must not have more than 12 months of postdoctoral training after an earlier, non-terminal doctoral degree. This applies only to individuals with multiple doctoral degrees.
• Effort required:
  • Years 1-2: At least 9.6 person-months per year (80% effort) on the award project
  • Years 3-5:  At least 9.6 person-months per year (80% effort) on independent research overall, including the award project and any other independent research led by the PD/PI.
• Non-independence required: At the time of application, the PD/PI must still be non-independent. All the following must apply:
  • Research direction requires mentor approval
  • Research is mainly supported through another investigator's funding (mentored fellowships, such as an NIH F31/F32 or NSF Graduate Research Fellowship, do not make an applicant ineligible)
  • No institutionally assigned research space
  • Cannot apply for an NIH R01 without a special institutional waiver or exception

The PD/PI may become independent before the award starts and still remain eligible.

• Independent position required: The PD/PI must have a guaranteed, pending independent research position and be able to begin independent research by the project start date.
  • The position does not have to be permanent or tenure-track.
  • The position may depend on receiving this award.
  • The institution must provide substantial support, as described in the application.
  • Moving to a new institution may be advantageous but is not required.
• Career awards: ThePD/PI may apply for both a K award and DP5 simultaneously, but the projects must not overlap scientifically. A PD/PI cannot hold both simultaneously; if awarded the DP5, the K award must be relinquished.
• Site visit: NIH will conduct a site visit near the end of the first year to assess progress and confirm institutional support and independence. If support is insufficient, NIH may take corrective action, including reducing or terminating funding.

Limit: 3 (one per Thrust Area) // Tickets Available: 0

Thrust Area 1: Y. Takashima (Optical Sciences)
Thrust Area 2: C. Fucetola (Astronomy & Steward Observatory)
Thrust Area 3: G. Cole (Wyant College of Optical Sciences)

Limiting Language
A proposing organization, identified by a unique CAGE Code, may submit no more than one Abstract per Thrust Area. Each Abstract submitted by the same organization must identify a different Principal Investigator, technical team, and represent a distinct technical approach. 

Eligibility 
Universities whose proposed Principal Investigator has not previously served as a Principal Investigator under a DARPA-funded award.

Thrust Areas
Thrust Area 1: A world beyond electronics 
The “a world beyond electronics” thrust seeks to develop non-electronic and hybrid physical approachesto advance sub-functions and unit operations to create future warfighting systems and capabilities. These sub-functions and unit operations include but are not limited to: 

• Sensing and communications beyond electronics. While we will continue to need sensing and communications, novel approaches can not only improve upon what modern radio-frequency systems deliver for the existing battlespace but also invent functions leading to new capability for the future battlespace. Examples of non-electronic developments could include optical, quantum, organic, and acoustic devices. The addressable physical stimuli (e.g., optical thermal, acoustic, chemical, etc.) and/or appropriate information buses (e.g., photonic, fluidic, or otherwise) for the proposed device should be provided in detail as well as performance estimates. 

Thrust Area 2: Foundations beyond components 
The “foundations beyond components” thrust explores technologies and methods that survive and even thrive in hostile and challenging environments. Production and use of these components can then be used in novel and previously unforeseen applications. 

• Extreme environments are both natural and man-made. The natural extreme environments of interest include space, undersea, and the arctic. Technologies and methods should lead to systems subjected to a wide range of environmental conditions and natural attacks such as corrosion. Man-made environmental impacts, including the actions of adversaries, add system effects such as shock and vibration. 
• Advanced capabilities will require increasing amounts of intelligence, automation, endurance and survivability. Assuming that humans are not present, a heterogeneous mix of distributed uncrewed systems may be warranted requiring advanced sensing, actuation, orientation, processing, communication, and power. Each of these has its own research challenges. 
• Making and sustaining these components and systems require unique approaches to leverage the local environment itself, use what is in place, and erase the line between equipment and environment. 

Thrust Area 3: Materials beyond nature and current synthetic practice 
The “materials beyond nature and current synthetic practice” thrust seeks the discovery and fabrication of new materials that exceed what can be found in nature or are currently produced. MXO believes that novel applications, research breakthroughs, and advanced capability development will benefit from new materials used in new ways. 

• Material properties realized after fabrication. Beyond phase change materials, how do we identify future programmable material and synthesize component properties? Examples include ad-hoc tunable electrical, magnetic, optical, and mechanical properties beyond the state of the art.
• Built-in autonomous property resiliency of materials/components. Imagine if we could maintain pre-determined material and component properties without humans in the loop. Examples include self-healing (recovery of material properties or improvement in their reliability), self-deformation (material as sensor and actuator), or self-protection (anti-break, anti-rust, anti-aging). 
• Artificially created new material properties. How do we identify previously unattainable material properties followed by the manufacturing and realization of this new material? Examples include room temperature superconductor and inorganic-like electrical characteristics in organic material systems

Limit: 2 // Tickets Available: 0

P. Carini (Environmental Sciences)
T.J. Su (Optical Sciences)

Limiting Language 
We welcome you to submit up to two nominations.

Eligibility Criteria
We ask that you only nominate exceptional candidates who satisfy the following criteria:

• Have achieved tenure or an equivalent status prior to the nomination deadline and within the past three calendar years (between January 1, 2023 and August 10, 2026),
• Have a remarkable record of accomplishment in mathematics, computer science, natural sciences, and/or engineering,
• Have a demonstrated history of pursuing and publishing results in more than one field,
• Have a desire and plan to expand their research portfolios by exploring a substantive disciplinary or methodological shift, but have not yet launched such shifts,
• Demonstrate a need for additional funding to enable new experiments, explorations, or shifts in research directions.

Funding Goals
The Schmidt Science Polymath Program seeks to empower intensely creative, mid-career researchers to take adventurous leaps into new research domains, experiment with new methodologies and ideas, and inspire impactful scientific breakthroughs.

The Schmidt Science Polymath Program (“the program”) recognizes extraordinary researchers with remarkable track records, promising futures, and a desire to expand their research portfolios by exploring a substantive disciplinary or methodological shift soon after achieving tenure.

The program will offer research support to professors who have achieved tenure or an equivalent status within the past three calendar years with remarkable track records and highly promising futures. Each professor will be awarded $500,000 per year, paid through their institution, for up to five years to help support a research group through talent, collaboration, equipment, and/or other resources. These grants are intended to make possible the exploration of new ideas across disciplines, using emerging technologies to test risky theories that may not otherwise receive funding or support. They are not intended to relieve the researcher of pursuing other grants to continue their mainstream work, nor to be large enough to fully support a modern lab.

Schmidt Sciences are especially interested in supporting highly creative, original, and risky research that is clearly distinct from past areas and directions.

Institutionally Coordinated - contact RDS if you are interested in this funding opportunity // Limit: 2 (lead organization) // Tickets Available: 1 

M. Zreda (Hydrology and Atmospheric Sciences)

Limiting Language 
An eligible organization can submit a maximum of two Written Proposals per Topic Announcement for Phase 0 as a lead organization. Senior/Key Personnel may be listed on a maximum of one Written Proposal per Topic Announcement.

Topic Description

Every revolution in science has been preceded by a revolution in what we can measure, from the telescope to modern Magnetic Resonance Imaging (MRI) machines. Today, the frontier is starved for radically new modalities for sensing and imaging. We cannot watch a non-crystalline enzyme work at atomic resolution, probe the full dynamics of a working synapse, or identify the most reactive surface defect structures on advanced catalytic materials.

NSF X-Labs in this Topic will target specific platform technologies in sensing, imaging and supporting technologies that will form the basis for revolutionary new capabilities in scientific discovery and technology sectors. Teams might, for example, draw on quantum sensing, artificial intelligence (AI)-driven computational imaging, adaptive AI-based sensing algorithms, and/or entirely new modalities to redefine what we consider knowable. 

Examples of relevant, currently unmet R&D challenges may include, but are not limited to: detection of molecular-scale single-reaction events across timescales of femtoseconds to seconds; MRI-free deep-tissue imaging; non-destructive biomolecule microscopy at exquisite resolution; high-sensitivity quantum sensors suitable for operation in a variety of environments; instruments intentionally engineered for next-generation AI training pipelines; and sensors to resolve whole-brain activity at cellular resolution across long timescales. 

An NSF X-Labs Mission in this Topic must be transformative, accelerating breakthrough R&D in scientific instrumentation towards creating or reshaping new lines of research and technologies. Successful teams will overcome technical barriers facing sensing and imaging, develop platform technologies, demonstrate measurable impact on the U.S. science and technology landscape, and position their technologies for widespread use and investment in research and/or other sectors. 

Examples of challenges not considered in scope for this Topic include computational or software solutions without practical integration into an instrumentation system, development of technologies where the impact is narrow and not widely deployable, fundamental research without potential for application in platform technologies, incremental advancement of the state of the art, or advancement of technologies that are already appropriately developed to the point of full-scale commercialization.

Full sponsor guidelines are linked here. 

Upcoming Webinars
Thursday, May 28, 1–2 p.m. Eastern Daylight Time (EDT) 
Introduction to NSF X-Labs Funding Opportunity – Scientific Instrumentation for Sensing and Imaging
Register for the May 28 webinar.

Tuesday June 23, 2:30–3:30 p.m. EDT
Q&A for NSF X-Labs – Scientific Instrumentation for Sensing and Imaging
Register for the June 23 Q&A session.