Reminder: Switch Early to the New Secure Two-Factor Authentication Required to Access eRA Modules

Users of eRA Commons, ASSIST, Internet Assisted Review (IAR) and Commons Mobile are encouraged to begin their switchover to the new two-factor authentication (2FA) login method (via required to access eRA modules before the mandatory deadline of September 15, 2021 for all users. The authentication will help ensure the security of your personal and confidential information in these systems.


For more information, please visit the NIH page.

Limited Submission Opportunity – Department of Energy CHEMICAL UPCYCLING OF POLYMERS

Internal Notification of Interest Deadline to the Office of Research Administration: Friday, Februdary 26, 2021, 5:00 pm.

DOE Preproposal Submission Deadline: March 10, 2021

Full Proposal Submission Deadline: May 12, 2021

Summary of the Program:

The DOE SC program in Basic Energy Sciences (BES) announces its interest in receiving
applications on behalf of single investigators and teams of investigators, which may involve
multiple institutions, to support fundamental experimental and theoretical efforts that advance chemical upcycling of polymers and circular design of next-generation plastics. The term “plastic” describes a wide array of polymeric materials with diverse compositions and properties. Finished plastic products may include multiple polymeric components and often contain additives to obtain desirable physical, chemical, or mechanical properties. Understanding of chemical approaches that make use of end-of-life plastic products as feedstocks to regenerate the same product, or otherwise upcycle them to new, more valuable products, is limited. BES seeks innovative fundamental research that creates the scientific foundations for new technology solutions to reduce plastic waste, lower the energy impacts of plastic production through chemical upcycling, and create energy- and carbon-efficient feedstocks for valuable products
through chemical upcycling of polymers.

This FOA emphasizes cross-cutting, fundamental research in the following areas:

  • Discovery and design of new chemical pathways to deconstruct synthetic polymeric
    materials efficiently and selectively into useful chemical intermediates or to functionalize
    existing polymers to provide new, materials with improved properties.
  • Detailed molecular-level mechanistic understanding of macromolecular conversions of
    polymers to materials or chemical intermediates for upcycled products from plastics, such
    as deconstruction and reassembly of polymers, controlled functionalization of single
    polymers feeds or selective reaction of single polymer classes in mixed plastic streams,
    compatibilization of mixed polymers, and similar chemical transformations leading to
    upcycled products.
  • Co-design of materials and chemical processes, coupling aspects of plastics construction,
    use, disassembly, and reassembly to maximize energy efficiency. This includes design
    and synthesis of new polymers for materials with similar or improved properties relative
    to current plastics that can be upcycled either in closed loops (recreating the starting
    material) or in cascades of processes producing series of different products that
    significantly extend the useful lifetime of the carbon building blocks of polymers.
  • Novel approaches for efficiently delivering the energy required to drive specific chemical
    transformations and enable both energy- and carbon-efficient plastics upcycling. This
    may include strategies that use electro-, photo-, and photo(electro)chemical approaches,
    or that couple these inputs to thermal processes.
  • Development of next-generation tools to probe macromolecular transformations and/or to
    understand polymer-catalyst interactions and behavior that drive conversion and
    selectivity during upcycling processes. This includes experimental, computational, and
    data science approaches, and their integration, to gain insights into mechanisms of
    materials and macromolecular transformations.

Limit on the Number of Proposals per Organization:

Applicant institutions are limited to no more than 2 pre-applications and applications. There is no limit on the number of pre-applications on which an institution may appear as a partner (not the lead institution).
An individual is limited to be named as the Lead PI on no more than 1 submission.
• Pre-applications in excess of the limited number of submissions will be discouraged.
• Applications in excess of the limited number of submissions will be declined without review

For full details on this program, please visit the page.

For additional details regarding The University of Akron’s limited submission process, visit the ORA Limited Submission webpage.

If you are interested in submitting a DOE proposal, please visit the ORA Limited Submission webpage and complete step 1: Notification of Interest, by the deadline above.

  • Individuals interested in applying to a limited submission program must submit a Notification of Interest no later than 5pm on the internal deadline. To submit this notification applicants must email (cc’ing with the subject line of the email formatted as follows: “Last name, First name; Limited Submission Notification of Interest”. Notifications will be emailed, and applicants will either be approved to apply or will be prompted to provide a white paper.
  • If ORA receives internal notices of interest in excess of the NSF limit on the number of proposals per organization, an internal competition will be necessary and additional information will be sent to those who submitted a notice of interest.

FY 2021 Fiscal Policies for Grant Awards: Funding Levels, Salary Limits, and Stipend Levels

NIH issued guidance for NIH Fiscal Operations for FY 2021 including the following policies:

  • FY 2021 Funding Levels: Non-competing continuation awards made in FY 2021 will generally be issued at the commitment level indicated on the Notice of Award.
  • Ruth L. Kirschstein National Research Service Awards (NRSA): NIH will increase NRSA stipends by approximately two percent for predocs and two percent for postdocs.
  • Next Generation Researchers Initiative Policy: NIH will prioritize meritorious R01-equivalent applications from Early Stage Investor (ESI) PD/PIs.
  • Salary Limits: Salary limit is set at $199,300.

For additional guidance and details, see NOT-OD-21-058.

Defense Health Program: Department of Defense Orthotics and Prosthetics Outcomes Research ProgramAnticipated Funding Opportunities for Fiscal Year 2021 (FY21)

Although the Fiscal Year 2021 (FY21) Defense Appropriations Bill has been signed into law, the FY21 appropriation for the Department of Defense Orthotics and Prosthetics Outcomes Research Program (OPORP) is contingent upon the outcome of a pending rescissions request. The OPORP is providing the information in this pre-announcement to allow investigators time to plan and develop ideas for submission to the anticipated FY21 funding opportunities. This pre-announcement should not be construed as an obligation by the Government.

The FY21 Defense Appropriations Act is anticipated to provide funding to the Department of Defense OPORP to support supports research that evaluates orthoses and/or prostheses using patient-centric outcomes relevant to Service Members and military beneficiaries, Veterans, and other individuals with limb loss and/or limb impairment. As directed by the Office of the Assistant Secretary of Defense for Health Affairs, the Defense Health Agency J9, Research and Development Directorate manages the Defense Health Program (DHP) Research, Development, Test, and Evaluation (RDT&E) appropriation. The managing agent for the anticipated Program Announcements/Funding Opportunities is the Congressionally Directed Medical Research Programs (CDMRP) at the U.S. Army Medical Research and Development Command (USAMRDC). 

Subject to the FY21 Congressional appropriation for OPORP funding, FY21 OPORP Program Announcements and General Application Instructions for the following award mechanisms will be posted on the website. Pre-application and application deadlines will be available when the Program Announcements are released. 

The vision of the OPORP is to ensure the highest possible quality of life for our injured Service members, Veterans, and beneficiaries through the advancement of knowledge in orthotics- and prosthetics-related practice. The OPORP supports research on outcomes-based best practices through analysis of prosthetic and/or orthotic device options that are currently available, and not on the development of new devices or the improvement of an existing technology. Projects involving spinal orthoses, pediatric populations, or analysis of short-term use devices will not be considered for the FY21 OPORP.

Applications submitted to the FY21 OPORP must address one or more of the following focus areas: 

  • Orthoses or Prostheses Form: Optimize patient outcomes through the analysis and characterization of variables related to the form of currently available clinical options such as device size, shape, material, and/or configurations. 
  • Orthoses or Prostheses Fit: Optimize patient outcomes related to the human-device interface through the analysis of variables in currently available clinical options that facilitate fit-related metrics such as comfort, limb health, and/or usability.
  • Orthoses or Prostheses Control: Optimize patient outcomes through the analysis of variables related to currently available device mechanisms such as device control, sensors, and passive or active response.
  • Orthoses or Prostheses Function: Optimize patient outcomes by analyzing device-inclusive care protocols and interventions to inform best practices such as evaluation and prescription, timing of interventions, community functioning, and multidisciplinary approaches to clinical care in order to understand short- and long-term outcomes with respect to activities of daily living and other real-world activities.

A pre-application is required and must be submitted through the electronic Biomedical Research Application Portal (eBRAP) at prior to the pre-application deadline. All applications must conform to the final Program Announcements and General Application Instructions that will be available for electronic downloading from the website. The application package containing the required forms for each award mechanism will also be found on A listing of all CDMRP and other USAMRDC extramural funding opportunities can be obtained on the website by performing a basic search using CFDA Number 12.420. 

Submission deadlines are not available until the Program Announcements are released. For email notification when Program Announcements are released, subscribe to program-specific news and updates under “Email Subscriptions” on the eBRAP homepage at For more information about the OPORP or other CDMRP-administered programs, please visit the CDMRP website (

For more information, please visit the Department of Defense page.

Dreyfus Program for Machine Learning in the Chemical Sciences & Engineering

     The Camille and Henry Dreyfus Foundation announces the Thursday, April 8, deadline for the 2021 Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering. The program provides funding for innovative projects in any area of Machine Learning (ML) consistent with the Foundation’s broad objective to advance the chemical sciences and engineering. The Foundation anticipates these projects will contribute fundamental chemical insight and innovation in the field.

     The Foundation encourages proposals to significantly stimulate and accelerate the development of the use of ML and other related aspects of data science to the chemical sciences and engineering. Below are some examples of areas this program may support:

  • molecular synthesis, including mechanisms, techniques, and applications
  • theory, computation, physical properties of molecules or materials
  • rates and mechanisms of new chemical processes
  • new or improved materials and materials applications
  • postdoctoral support for collaborations that combine chemical science research with ML expertise
  • collaborative sabbaticals, extended visits, and meetings
  • education, e.g., new courses, seminar series, MOOCs, …
  • public libraries of chemistry and chemical engineering data for use in ML

     Note that proposals are not restricted to the areas described above. Additional details are available at the Foundation website