Skip to main content

Funding Opportunities


DOD US Army Combat Capabilities Development Command Broad Agency Announcement

Deadline: Friday, February 28, 2025
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=327285
Limited Submission: No

Description

This Broad Agency Announcement (BAA) is intended to fulfill requirements for scientific study and experimentation directed toward advancing state-of-the-art technologies and/or increasing knowledge and understanding as a means of eliminating current technology barriers. 

Deadline: On-going through February 28, 2025


DOD FY21 Office of Naval Research (ONR) Science, Technology, Engineering and Mathematics (STEM) Program

Deadline: Wednesday, March 30, 2022
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=332500
Limited Submission: No

Description

The Office of Naval Research (ONR) seeks a broad range of applications for augmenting existing and/or developing innovative solutions that directly maintain and/or cultivate a diverse, world-class Science, Technology, Engineering and Mathematics (STEM) workforce to maintain the U.S. Navy and Marine Corps technological superiority. The goal of proposed efforts must provide solutions that establish, build, and/or maintain STEM educational pathways and workforce opportunities for diverse U.S. citizens directly relevant to ONR science and technology areas. This FOA is specifically seeking STEM education and outreach projects that address scientific and technical areas identified in the following thrust areas:  STEM cybersecurity education and cyber awareness focused on 6th to 12th grade students; STEM interests supporting warfighter performance; ONR Global STEM interests; and Naval Accelerator STEM interests include a broad range of STEM educational and training opportunities for career and workforce development.

 Deadline: On-going through March 30, 2022


NASA-ROSES Planetary Data Archiving, Restoration, and Tools

Deadline: Tuesday, March 29, 2022
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7bAFE1AED6-884C-DF05-B0F2-A84105803FB9%7d&path=&method=init
Limited Submission: No

Description

The Planetary Data Archiving, Restoration, and Tools (PDART) program solicits proposals to: generate higher-order data products; archive and restore data sets or products; create or consolidate reference databases; generate new reference information, such as laboratory measurements; digitize data; and develop or validate software tools. 

Deadline: On-going through March 29


NEH Digital Humanities Advancement Grants

Deadline: Friday, January 14, 2022
Link: https://www.neh.gov/grants/odh/digital-humanities-advancement-grants
Limited Submission: No

Description

This program supports innovative, experimental, and/or computationally challenging digital projects, leading to work that can scale to enhance scholarly research, teaching, and public programming in the humanities. The program also supports research that examines the history, criticism, ethics, and philosophy of digital culture or technology and its impact on society. 


NIH Notice of Special Interest (NOSI): The Application of Big Data Analytics to Drug Abuse Research

Deadline: Saturday, January 8, 2022
Link: https://grants.nih.gov/grants/guide/notice-files/NOT-DA-19-041.html
Limited Submission: No

Description

The purpose of this Notice is to inform potential applications to the National Institute on Drug Abuse (NIDA) to encourage grant applications that will use big data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance use and addiction by developing more powerful analytical methods and visualization tools that can help capture the richness of different data types and across scales of analysis; including molecular, clinical, and electronic health records. Applications should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research.

Submission deadlines vary.

This notice applies to due dates on or after October 5, 2019 and subsequent receipt dates through January 8, 2022.


NIH American Women: Assessing Risk Epidemiologically (AWARE) (R01)

Deadline: Thursday, December 9, 2021
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-AI-21-058.html
Limited Submission: No

Description

This FOA will support research that combines epidemiologic methods, digital technology, and data science approaches to better understand HIV prevention, transmission, and early care-cascade points for women living in the US. Applications must:  1) determine the best ways to identify, enroll, and retain cohorts of women living in the US who are behaviorally vulnerable to HIV; and 2) knowledgebase comprised of cohort data from women augmented with other data sources including big data sources. Findings should not only lead to a better understanding of how women remain vulnerable to HIV but also inform future pilot interventions aimed at decreasing the incidence of HIV and other sexually transmitted infections (STIs) among cisgender, transgender, and gender non-conforming women.


NASA-ROSES Planetary Major Equipment and Facilities

Deadline: Friday, December 3, 2021
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7bE01FBA77-15A6-8662-8207-90623D37CA2A%7d&path=&method=init
Limited Submission: No

Description

The Planetary Major Equipment and Facilities (PMEF) program element allows proposals for the purchase or development of new or upgraded non-flight analytical, computational, telescopic, and other instrumentation to be used in investigations in Planetary Science Division (PSD) research programs. 

Deadlines: December 3 – Step 1; February 3 – Step 2


NASA-ROSES Lunar Data Analysis

Deadline: Wednesday, December 1, 2021
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7bC3A39264-C41F-EEB8-9FAD-9EB6DB045987%7d&path=&method=init
Limited Submission: No

Description

The overall objectives of LDAP are to: enhance the scientific return of lunar missions; broaden scientific participation in the analysis of lunar mission data sets; and fund high-priority areas of research that support planning for future lunar missions. 

Deadlines: December 1 – Step 1; February 24 – Step 2


NSF EHR Core Research - Resource Coordination Hub

Deadline: Wednesday, December 1, 2021
Link: https://beta.nsf.gov/funding/opportunities/ehr-core-research-resource-coordination-hub-ecr-hub
Limited Submission: No

Description

NSF seeks proposals to create an EHR Core Research (ECR) Resource Coordination Hub (ECR Hub) that will be an intellectual partner to the ECR:Core and the ECR Building Capacity in STEM Education Research (ECR:BCSER) grantee communities and the NSF to enhance the overall influence and reach of ECR science, technology, engineering, and mathematics (STEM) education research investments. The ECR Hub will be expected to work collaboratively with NSF and the ECR:Core and ECR:BCSER communities to design, implement, and execute its activities and ensure the inclusion of diverse researchers representing the full range of our nation’s talent pool, of eligible institutions and organizations and of STEM education research and disciplines funded by ECR. 


NIH Impact of Technology and Digital Media (TDM) Exposure/Usage on Child and Adolescent Development (P01)

Deadline: Monday, November 29, 2021
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-HD-22-009.html
Limited Submission: No

Description

This FOA invites submission of Program Project (P01) applications to support integrated, multi-project research programs examining the pathways by which technology and digital media (TDM) exposure and usage impact developmental trajectories and health outcomes in early childhood (ages birth-8) and adolescence (ages 9-17).


NSF Research Experiences for Teachers (RET) in Engineering and Computer Science

Deadline: Tuesday, November 16, 2021
Link: https://www.nsf.gov/pubs/2021/nsf21606/nsf21606.htm
Limited Submission: No

Description

The Research Experiences for Teachers (RET) in Engineering and Computer Science program supports authentic summer research experiences for K-14 educators to foster long-term collaborations between universities, community colleges, school districts, and industry partners. With this solicitation, the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE) focus on a reciprocal exchange of expertise between K-14 educators and research faculty and (when applicable) industry mentors. Projects can be for RET Sites or RET Supplements. 


NIH BRAIN Initiative Cell Atlas Network (BICAN): Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE) (U24)

Deadline: Tuesday, November 9, 2021
Link: http://grants.nih.gov/grants/guide/rfa-files/RFA-MH-21-237.html
Limited Submission: No

Description

This FOA intends to support a Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE) that will be composed of four components to establish respectively (1) a common sequencing data processing pipeline, (2) a common imaging data processing pipeline, (3) a comprehensive brain cell knowledge base, and (4) an engaging and outreach component to coordinate the research within and beyond BICAN. 


NASA-ROSES Heliophysics Supporting Research

Deadline: Wednesday, November 3, 2021
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7b0C45316A-C6E9-9A2F-83FD-D2A80EC1E93A%7d&path=&method=init
Limited Submission: No

Description

Heliophysics Supporting Research (SR) awards are research investigations of significant magnitude that employ a combination of scientific techniques. These must include an element of (a) theory, numerical simulation, or modeling, and an element of (b) data analysis and interpretation of NASA-spacecraft observations. 

Deadlines: November 3 – Step 1; January 12 – Step 2


NIH Translational and Basic Science Research in Early Lesions (TBEL) Coordinating and Data Management Center (U24)

Deadline: Tuesday, November 2, 2021
Link: http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-21-055.html
Limited Submission: No

Description

The TBEL program aims to integrate basic and translational cancer research concepts to examine the direct causal relationships and interactions of an early lesion, its microenvironment, and host-systemic factors as co-organizers of tumor initiation (or suppression) and malignant progression. The ultimate goals of the TBEL program are to further understand the biological and pathophysiological mechanisms driving or restraining precancers and early cancers and facilitate biology-backed precision prevention approaches. 


NIH Computational Approaches for Validating Dimensional Constructs of Relevance to Psychopathology (R01)

Deadline: Monday, November 1, 2021
Link: https://grants.nih.gov/grants/guide/pa-files/PAR-21-263.html
Limited Submission: No

Description

This FOA solicits applications for research projects that will use computational approaches to test the validity of dimensional constructs in the NIMH Research Domain Criteria (RDoC) matrix (or similar constructs based on comparable criteria). Proposed research projects will test integrative models of functioning and identify dysregulation in psychopathology-related mechanisms that may cut across traditional diagnostic categories and may change over time. 


NIH Computationally-Defined Behaviors in Psychiatry (R21)

Deadline: Monday, November 1, 2021
Link: http://grants.nih.gov/grants/guide/pa-files/PAR-21-264.html
Limited Submission: No

Description

This FOA solicits proposals for research projects that will apply computational approaches to develop parametrically detailed behavioral assays across mental-health relevant domains of function. These projects should focus on behavior in humans and test computational models in healthy subjects. 


U01 Data Analysis and Validation Centers NIH Molecular Phenotypes of Null Alleles in Cells (MorPhiC) Phase I

Deadline: Monday, November 1, 2021
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-HG-21-030.html
Limited Submission: No

Description

The long-term goal of MorPhiC is to develop a consistent catalog of molecular and cellular phenotypes for null alleles for every human gene, using in vitro multicellular systems. The catalog will be made available for broad use by the biomedical community.


U24 Data Resource and Administrative Coordinating Centers NIH Molecular Phenotypes of Null Alleles in Cells (MorPhiC) Phase I

Deadline: Monday, November 1, 2021
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-HG-21-031.html
Limited Submission: No

Description

The long-term goal of MorPhiC is to develop a consistent catalog of molecular and cellular phenotypes for null alleles for every human gene, using in vitro multicellular systems. The catalog will be made available for broad use by the biomedical community. 


UM1 Data Production Research and Development Centers NIH Molecular Phenotypes of Null Alleles in Cells (MorPhiC) Phase I

Deadline: Monday, November 1, 2021
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-HG-21-029.html
Limited Submission: No

Description

The long-term goal of MorPhiC is to develop a consistent catalog of molecular and cellular phenotypes for null alleles for every human gene, using in vitro multicellular systems. The catalog will be made available for broad use by the biomedical community. 


NIH Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33)

Deadline: Thursday, October 28, 2021
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-AG-22-022.html
Limited Submission: No

Description

This FOA will use the NIH Phased Innovation Award mechanism (R21/R33) to develop novel transformative artificial intelligence/machine learning (AI/ML) strategies and computer automation to integrate, extract, and interpret multi-omic (i.e., genome, epigenome, transcriptome, proteome, metabolome, microbiome, phenome) data sets from human exceptional longevity (EL) cohorts and multiple non-human species that display wide variation in life span and decipher the relationships between DNA, RNA, proteins, metabolites, and other cell variables, as well as links to disease risks and exceptionally healthy aging. The investigative team(s) for this FOA is/are expected to be multi-disciplinary, encompassing expertise in AI/ML, aging biology, comparative biology, and bio/chemo informatics. 


NIH Leveraging Existing Data Resources for Computational Model and Tool Development to Discover Novel Candidate Mechanisms and Biomarkers for ADRD (R01)

Deadline: Tuesday, October 26, 2021
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-NS-22-006.html
Limited Submission: No

Description

The purpose of this funding opportunity announcement is to expand the use of existing ADRD data resources to drive, via computational model development and dissemination, new discoveries that can lead to better understanding of mechanisms, clinical risk assessment and outcomes, and to identify novel candidate biomarkers for ADRD. 


Showalter Trust

Deadline: Monday, October 25, 2021
Link: https://www.purdue.edu/data-science/events/index.php?view=3802
Limited Submission: No

Description

Pre-proposals are now being solicited for the 2022 Showalter Trust awards. The Trust specifies that the following areas of research have priority for funding: 1. Environmental research, including air and water pollution research; 2. Research in the field of biochemistry and molecular biology; 3. Research in the area of human disease prevention, diagnosis, progression, treatment and control; 4. Research in the area of new technologies for food production, preservation, distribution and safety; and 5. Research in medical and biophysical instrumentation, including the analysis of large datasets. awards are limited to those at the rank of assistant professor (tenure-track or research) at the time of application. Priority is given to projects that have a high potential to compete for or leverage federal funding and to create programs with a life span longer than the Showalter award. Interdisciplinary proposals that establish new research relationships and/or new research thrusts are welcome, but it is not necessary to submit a collaborative project or involve an established investigator. 

Pre-proposals must be submitted to the Office of the EVPRP by an Associate Dean for Research or comparable college-level official by 5:00 PM Monday, October 25, 2021, via e-mail to showalter@purdue.edu.


Kinley Trust

Deadline: Tuesday, October 19, 2021
Link: https://www.purdue.edu/data-science/events/index.php?view=3803
Limited Submission: No

Description

The Clifford B. Kinley Trust was established in 1978 to fund research that uses a social science perspective to explore methods for improving the human condition. Successful proposals for Kinley Trust grants will describe projects that have a clear impact on improving the human condition, with a strong rationale and fully-described methodology. The process and parameters have changed this year and we will no longer require nomination of pre-proposals by the colleges.

We ask that faculty submit their pre-proposals, due by October 19, directly to the InfoReady link provided here: https://purdue.infoready4.com/#competitionDetail/1850378

Deadlines: October 19 – Pre-proposal; January 31 – Full proposal by invite


NIH Investigator Initiated Research in Computational Genomics and Data Science (R21)

Deadline: Saturday, October 16, 2021
Link: https://grants.nih.gov/grants/guide/pa-files/par-21-255.html
Limited Submission: No

Description

The purpose of this FOA is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports fundamental genomics research that develops innovative analytical methodologies and approaches, early-stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community.


USDA-NIFA Farm of the Future

Deadline: Friday, October 15, 2021
Link: https://nifa.usda.gov/funding-opportunity/farm-future
Limited Submission: No

Description

Farm of the Future is a competitive grant program that will be implemented by USDA NIFA to establish an agricultural test bed and demonstration site. It seeks to launch this rural test bed for precision agriculture, smart automation, data connectivity and transfer, and to demonstrate best practices in climate-smart agriculture, forestry, and animal production systems that enhance sustainability and farm profitability. The test bed will evaluate digital and smart technologies to provide accessible, data-driven solutions that support resilient agricultural and value-added practices. 


NIH Notice of Special Interest: Advanced Computational Approaches to Elucidate Disease Pathology and Identify Novel Therapeutics for Addiction

Deadline: Tuesday, October 5, 2021
Link: https://grants.nih.gov/grants/guide/notice-files/NOT-DA-21-004.html
Limited Submission: No

Description

The purpose of this Notice is to inform potential applicants of NIDA's interest in grant applications that will develop or utilize advanced computational approaches to describe complex drug-disease relationships in ways that will rapidly advance the development of new treatments, allow for targeted funding of substance use disorder (SUD) drug discovery and improve health care. NIDA has a particular interest in applications that include approaches in one or more of the following categories: 1) artificial intelligence, including machine learning and deep learning, 2) supercomputing/parallel computing, and/or 3) quantum computing.  


NIH Notice of Special Interest: Advanced Computational Approaches to Elucidate Disease Pathology and Identify Novel Therapeutics for Addiction

Deadline: Tuesday, October 5, 2021
Link: https://grants.nih.gov/grants/guide/notice-files/NOT-DA-21-004.html
Limited Submission: No

Description

The purpose of this Notice is to inform potential applicants to the National Institute on Drug Abuse (NIDA) of NIDA's interest in grant applications that will develop or utilize advanced computational approaches to describe complex drug-disease relationships in ways that will rapidly advance the development of new treatments, allow for targeted funding of substance use disorder (SUD) drug discovery and improve health care.. NIDA has a particular interest in applications that include approaches in one or more of the following categories: 1) artificial intelligence, including machine learning and deep learning, 2) supercomputing/parallel computing, and/or 3) quantum computing. 


NIH Notice of Special Interest (NOSI): New Information Technology-Enabled Care Delivery Models to Improve Depression Care in Cancer

Deadline: Tuesday, October 5, 2021
Link: https://grants.nih.gov/grants/guide/notice-files/NOT-CA-21-085.html
Limited Submission: No

Description

This Notice of Special Interest (NOSI) highlights interest of the National Cancer Institute (NCI)’s Division of Cancer Control and Population Sciences in receiving investigator-initiated applications for conducting research on the design and implementation of new information technology (IT)-enabled care delivery models to improve depression-related care in cancer.


NIH Notice of Special Interest (NOSI): Advancing HIV/AIDS Research through Computational Neuroscience

Deadline: Tuesday, October 5, 2021
Link: https://grants.nih.gov/grants/guide/notice-files/NOT-DA-21-030.html
Limited Submission: No

Description

This Notice of Special Interest [NOSI] is to support computational HIV/AIDS research as it relates to NIDA’s mission through collaborative research between investigators with experimental expertise related to HIV/AIDS and those with computational proficiency, including scientists from statistics, physics, mathematics, engineering, and computer science. The NOSI will support meritorious and innovative research built on well-established computational strategies (theory, models, and methods) to investigate HIV-related neurocognitive deficits and neuropathogenesis in the context of substance use or substance use disorder (SUD). Investigators are expected to have complementary and integrated expertise in their field(s), but an ongoing collaboration or record of co-authorship is not required. 


NIH Investigator Initiated Research in Computational Genomics and Data Science (R01)

Deadline: Tuesday, October 5, 2021
Link: https://grants.nih.gov/grants/guide/pa-files/PAR-21-254.html
Limited Submission: No

Description

The purpose of this FOA is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports fundamental genomics research that develops innovative analytical methodologies and approaches, early-stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community.


NSF Predictive Intelligence for Pandemic Prevention Phase I: Development Grants (PIPP Phase I)

Deadline: Friday, October 1, 2021
Link: https://www.nsf.gov/pubs/2021/nsf21590/nsf21590.htm
Limited Submission: No

Description

This solicitation is for Development Grants as part of NSF’s new Predictive Intelligence for Pandemic Prevention (PIPP) initiative. This initiative focuses on fundamental research and capabilities needed to tackle grand challenges in infectious disease pandemics through prediction and prevention. The PIPP Phase I initiative intends to support planning activities encompassing (1) articulation of a grand challenge centered around a critical and broad question in pandemic predictive intelligence; (2) proposals of novel conceptual research and technology developments that aim to advance state-of-the-art forecasting, real-time monitoring, mitigation, and prevention of the spread of pathogens; and (3) multidisciplinary team formation. Successful Phase I proposals must identify an innovative interdisciplinary grand challenge that engages integrated computational, biological, engineering, and social/behavioral approaches to formulate and solve critical problems relating to predictive intelligence for pandemic prevention. PIs of Phase I Development Grants are strongly encouraged to develop research and technical approaches that start to address critical aspects of the identified grand challenge. 


DOC-NOAA Collaborative Science, Technology, and Applied Research (CSTAR) Program

Deadline: Thursday, September 30, 2021
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=335585
Limited Submission: No

Description

The CSTAR Program represents an NWS effort to create a cost-effective transition from basic and applied research to operations and services through collaborative research between operational forecasters and academic institutions which have expertise in the environmental, social and behavioral sciences. These activities will engage university researchers and students in applied research of interest to the operational meteorological community. The focus of this announcement is on research and development topics related to the improvement of weather, water, and climate services to historically underserved and socially vulnerable communities. 

Deadlines: September 30 – LOI; November 19 – Full proposal


NASA-ROSES Mars Data Analysis

Deadline: Friday, September 24, 2021
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7b11400D12-C897-EEE8-67B5-480FEE1355F4%7d&path=&method=init
Limited Submission: No

Description

The objective of the Mars Data Analysis Program (MDAP) is to enhance the scientific return from missions to Mars conducted by NASA and other space agencies. 

Deadlines: September 24 – Step 1; November 18 – Step 2


DOD-AFOSR FY21 DEFENSE ESTABLISHED PROGRAM TO STIMULATE COMPETITIVE RESEARCH (DEPSCoR) – RESEARCH COLLABORATION (RC)

Deadline: Monday, September 20, 2021
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=333421
Limited Submission: No

Description

This funding opportunity aims to create basic research collaborations between a pair of researchers, namely 1) Applicant/Principal Investigator (PI, a full-time faculty member who has never served as a PI on a prior DoD directly funded research Prime award and 2) Collaborator/co-Principal Investigator (co-PI), an investigator who will provide mentorship to the Applicant and has served as a PI on a DoD directly funded research Prime award actively between 1 October 2014 and 30 September 2021. This structure is aimed at introducing potential applicants to the DoD’s unique research challenges and its supportive research ecosystem. The FY21 competition seeks proposals addressing the following topic areas: physics of sensing, space propulsion and power, complex networks, atomic and molecular physics, modeling of complex systems, biomathematics, solid mechanics, environmental chemistry, electronic sensing, nanoscale computing devices and systems, marine mammals and biology, additive manufacturing, social networks and computational social science, hypersonic aerothermodynamic. 

A virtual DEPSCoR Day is planned for June 23. 

Deadlines: September 20 – White paper; February 21 – Full proposal by invite


NSF Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII)

Deadline: Monday, September 20, 2021
Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504952&org=NSF&sel_org=NSF&from=fund
Limited Submission: No

Description

CISE seeks to award grants intended to support research independence among early-career academicians who specifically lack access to adequate organizational or other resources. It is expected that funds obtained through this program will be used to support untenured faculty or research scientists (or equivalent) in their first three years in a primary academic position after the PhD, but not more than six years after completion of their PhD for proposals submitted in 2021, and not more than five years after completion of their PhD for proposals submitted after 2021. Applicants for this program may not yet have received any other grants or contracts in the PI role from any department, agency, or institution of the federal government, including from the CAREER program or any other program, post-PhD, regardless of the size of the grant or contract, with certain exceptions as noted below. Serving as co-PI, Senior Personnel, Postdoctoral Fellow, or other Fellow does not count against this eligibility rule. 


NSF Dear Colleague Letter: Provisioning Advanced Cyberinfrastructure to Further Research on the Coronavirus Disease 2019 (COVID-19)

Link: https://www.nsf.gov/pubs/2020/nsf20055/nsf20055.jsp?WT.mc_id=USNSF_80
Limited Submission: No

Description

Through this DCL, the Office of Advanced Cyberinfrastructure (OAC) within the Directorate for Computer and Information Science and Engineering is inviting RAPID proposals and supplemental funding requests to existing awards that address COVID-19 challenges through data and/or software infrastructure development activities. Before submitting a RAPID proposal or supplemental funding request in response to this DCL, investigators must first contact one of the cognizant OAC program officers in order to determine whether the proposed activities meet NSF guidelines for these types of submissions. Deadline: On-going


Indiana CTSI COVID-19 Pilot Research

Link: https://redcap.uits.iu.edu/surveys/?s=YRMTHXRAYC
Limited Submission: No

Description

The Indiana Clinical and Translational Sciences Institute (CTSI) is offering pilot funding ($10-15,000) in support of select COVID-19 related research projects. Please submit your proposal via this application link and a staff member will respond to you quickly with the next steps.

 


NIH Research Supplements to Promote Diversity in Health-Related Research

Link: https://grants.nih.gov/grants/guide/pa-files/PA-20-166.html
Limited Submission: No

Description

Funds are available for administrative supplements to enhance the diversity of the research workforce by recruiting and supporting students, postdoctorates, and eligible investigators from underrepresented backgrounds, including those from groups that have been shown to be nationally underrepresented in health-related research. This supplement opportunity is also available to PD(s)/PI(s) of research grants who are or become disabled and need additional support to accommodate their disability in order to continue to work on the research project.  Administrative supplements must support work within the scope of the original project.  

Deadline:  Depends on IC


NSF Dear Colleague Letter: Conferences for Building Computational Literacy in Biological Sciences

Link: https://www.nsf.gov/pubs/2020/nsf20074/nsf20074.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

With this Dear Colleague Letter (DCL), BIO encourages proposals to conduct conferences, workshops or other training events that will provide short term training opportunities to students, researchers, or teachers in order to promote computational thinking in biological research. The activities should prioritize providing hands on and interactive learning opportunities. Activities should bring ideas from computational modeling, big data and artificial intelligence, computer science, algorithm development and/or related topics that involve computational thinking and apply them to biological contexts. 

Deadline:  On-going


NSF Dear Colleague Letter: Research Experiences for Undergraduates Supplemental Funding in Computer and Information Science and Engineering

Link: https://www.nsf.gov/pubs/2020/nsf20075/nsf20075.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

Updated guidance on REU CISE Supplements:  While much of the prior guidance in NSF 20-016 continues to apply with respect to CISE opportunities for REU supplements, this DCL makes two exceptions: (i) CISE will accept REU supplemental funding requests to active CISE awards through July 1, 2020; and (ii) CISE will also consider requests for an additional number of students per active project beyond the limitations specified in NSF 20-016, at a funding level of $8,000 per REU student. For example, for single-investigator projects, CISE will consider requests in excess of two students per project for this summer. Proposers who received REU supplements earlier this year are also eligible to apply for additional supplements if they are able to identify opportunities to mentor additional REU students. 


NSF Infrastructure Capacity for Biological Research (Capacity) Program

Link: https://www.nsf.gov/pubs/2021/nsf21501/nsf21501.htm
Limited Submission: No

Description

The Infrastructure Capacity for Biological Research (Capacity) Program supports the implementation of, scaling of, or major improvements to research tools, products, and services that advance contemporary biology in any research area supported by the Directorate for Biological Sciences at NSF. The Capacity Program focuses on building capacity in research infrastructure that is broadly applicable to a wide range of researchers in three programmatic areas: Cyberinfrastructure, Biological Collections, and Biological Field Stations and Marine Laboratories. This program will also accept proposals for planning activities or workshops to facilitate coordination that may be necessary in building capacity in infrastructure that meets the needs of a research community. 

Deadline: On-going


NSF Division of Environmental Biology (DEB)

Link: https://nsf.gov/funding/pgm_summ.jsp?pims_id=503634&org=NSF&sel_org=NSF&from=fund
Limited Submission: No

Description

The DEB Core supports research and training on evolutionary and ecological processes acting at the level of populations, species, communities, and ecosystems. DEB encourages research that elucidates fundamental principles that identify and explain the unity and diversity of life and its interactions with the environment over space and time. Research may incorporate field, laboratory, or collection-based approaches; observational or manipulative studies; synthesis activities; phylogenetic discovery projects; or theoretical approaches involving analytical, statistical, or computational modeling. 

Deadline: On-going


NSF Dear Colleague Letter: Research on Integrated Photonics Utilizing AIM Photonics Capabilities

Link: https://www.nsf.gov/pubs/2021/nsf21015/nsf21015.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

With this DCL, the Division of Electrical, Communications and Cyber Systems (ECCS) and the Division of Industrial Innovation and Partnerships (IIP) within the Engineering Directorate of the National Science Foundation continue to encourage innovative exploratory and translational research by academic researchers and small businesses in all aspects of integrated photonics that utilize the current silicon photonics capabilities resident in AIM Photonics. 

Deadline: On-going


NSF Sustained Availability of Biological Infrastructure (SABI) Core Program

Link: https://www.nsf.gov/pubs/2019/nsf19569/nsf19569.htm?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

The Sustained Availability of Biological Infrastructure program (SABI) supports the continued operation of extant infrastructure that will advance basic biological research. Infrastructure supported under this program may include cyberinfrastructure, instrumentation, experimental or observational facilities, biological living stocks which have ongoing costs of operation and maintenance that exceed the reasonable capacity of the host institution. Proposals must make a compelling case that sustained availability of the proposed infrastructure will advance or transform research in biological sciences as supported by the National Science Foundation.  

Deadline:  On-going


DOD-ONR Science & Technology for Advanced Manufacturing Projects (STAMP)

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=329699
Limited Submission: No

Description

The focus of this BAA is primarily on projects that continue to advance the systems engineering approach needed for the design, fabrication, and manufacture of structural components to address challenges in system weight, performance, affordability, and/or survivability. The foundation of this approach should include the integration of materials information, captured in computational tools, with engineering product performance analysis and manufacturing-process simulation termed commonly as Integrated Computational Materials Engineering (ICME). From this foundation it is expected the integration of manufacturing process information and product performance information utilizing the full range of engineering and analytical tools, processes, and principles to improve efficiency and effectiveness of their integrated approach. 

Deadline: On-going


NSF Dear Colleague Letter: Research Coordination and Planning Opportunities for the Directorate for Geosciences (GEO) in Artificial Intelligence (AI)

Link: https://www.nsf.gov/pubs/2021/nsf21022/nsf21022.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

NSF Directorate for Geosciences (GEO) encourages the submission of proposals for workshops, Research Coordination Networks (RCN), and other planning activities, including Early-concept Grants for Exploratory Research (EAGER) proposals, in Geosciences-themed research in Artificial Intelligence (AI). GEO envisions funding a cohort of geoscientists and computer scientists to form and coordinate teams to address forefront and grand challenge research topics in geo-themed AI. Specifically, through this DCL, GEO encourages proposal submissions for conferences and RCNs that address challenges in the Geosciences that also include and leverage research in AI. Conference and RCN proposals in response to this DCL should aim to develop collaborations between AI and the geosciences and within one or more geosciences domains. 

Deadline: On-going


NSF Dear Colleague Letter: Supporting Data and Sample Reuse in Polar Research

Link: https://www.nsf.gov/pubs/2021/nsf21041/nsf21041.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

OPP encourages submission of proposals that leverage existing data, physical samples, and non-physical samples (e.g., films, recordings, etc.), as well as those that facilitate the reuse of existing data. Proposals that align with this DCL can be submitted to the current Antarctic and Arctic solicitations. Principal Investigators are encouraged to contact the relevant Program Officer(s) to discuss the scope and size of proposals. 

Deadline: On-going


NSF Research Coordination Networks (RCN)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=11691
Limited Submission: No

Description

The goal of the RCN program is to advance a field or create new directions in research or education by supporting groups of investigators to communicate and coordinate their research, training and educational activities across disciplinary, organizational, geographic and international boundaries.  The RCN program provides opportunities to foster new collaborations, including international partnerships, and address interdisciplinary topics.  Innovative ideas for implementing novel networking strategies, collaborative technologies, training, broadening participation, and development of community standards for data and meta-data are especially encouraged.  

Deadline:  On-going


NSF Dear Colleague Letter: Supplemental Funding Opportunity to Support Student Design Projects Directly Related to NSF Research

Link: https://www.nsf.gov/pubs/2019/nsf19078/nsf19078.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

A supplemental funding opportunity is being made available starting in FY 2019 to provide support for mentored, student-led design projects that are directly related to currently funded NSF awards from the Engineering Directorate  NSF will consider supplemental funding requests to support student design projects connected to active NSF grants. The goals of these supplements are the following:  1) To connect student design projects to innovative, NSF-supported research and the latest advances in engineering science;  2) To expose students to the discovery process of research while preparing them for their roles in the engineering workforce; and 3) To provide a team of students with the funds necessary to pursue the design process, from need finding, industry and customer discovery, through prototyping and validation.  

Deadline:  On-going


NSF Dear Colleague Letter: Supporting Use of Existing Data and Samples in Atmospheric Sciences Research and Education

Link: https://www.nsf.gov/pubs/2021/nsf21064/nsf21064.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

With this DCL, the atmospheric science and education programs are highlighting interest in and encourage the submission of proposals that leverage existing data and physical samples in alignment with the goals of our programs. Categories of research in response to this DCL include: Analysis of existing field or laboratory data, or physical samples; Data curation and rescue; Data integration and synthesis; Development of new research avenues and methodologies for analyzing existing data and physical samples; and Development of educational curriculum that uses data sets obtained through field campaigns, laboratory experiments, physical samples, or other unique data sets. 

Deadline: On-going


NSF Dear Colleague Letter: MPS/DMS-EPSRC Lead Agency Opportunity in Mathematical Sciences

Link: https://www.nsf.gov/pubs/2019/nsf19082/nsf19082.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

The US National Science Foundation (NSF) and UK Research and Innovation (UKRI) have signed a Memorandum of Understanding (MOU) on Research Cooperation. The MOU provides an overarching framework to encourage collaboration between US and UK research communities and sets out the principles by which jointly supported activities might be developed. The MOU allows for a lead agency opportunity whereby a single international collaborative proposal may be submitted to either NSF or UKRI. Proposals will be accepted for collaborative research in areas at the intersection of the MPS/DMS and EPSRC missions. Proposers will be expected to review the relevant NSF-MPS/DMS Program Descriptions and the EPSRC website for information on which areas of research are eligible for support through this collaboration.  

Deadline:  Based on program submission dates


DOD-ARO LPS Qubit Collaboratory (LQC)

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=332894
Limited Submission: No

Description

The mission of the LQC can be captured in three broad goals: 1) pursue disruptive fundamental research and enabling technologies with a focus on qubit development for quantum computing and other applications (such as sensing); 2) grow deep, collaborative partnerships to tackle the most difficult and relevant long-term problems in quantum information science and technology; and 3) build a quantum workforce of tomorrow through research experiences in government at LPS and at LQC partners. The LQC will offer a mechanism for collaborative research between LPS and academia, industry, FFRDCs, and Government Laboratories to advance foundational and transformative research on challenging problems that have hindered progress in quantum information processing and associated technologies. 

Deadline: On-going


Dear Colleague Letter: Advancing Discovery with AI-Powered Tools (ADAPT) in the Mathematical and Physical Sciences

Link: https://www.nsf.gov/pubs/2021/nsf21080/nsf21080.jsp
Limited Submission: No

Description

This Dear Colleague Letter (DCL) welcomes proposals for the development or new application of AI-inspired tools and techniques, with opportunities in, but not limited to, four focus areas: (i) modeling and simulation, (ii) data and model analytics, (iii) concept discovery, and (iv) physical systems/experimentation. Successful proposals will advance MPS science goals and at least one of the focus areas.

The Directorate for Mathematical and Physical Sciences welcomes proposals for large and small projects addressing complex problems at the frontiers of AI, that align with current divisional interests. Projects that establish new collaborations between academia and industry, broaden participation, train an AI-aware workforce, or promote interdisciplinary activities are especially encouraged. Proposals that promote collaboration among MPS domain sciences and researchers with AI expertise will be prioritized.

For further information on this DCL, please contact one of the following cognizant Program Directors:


NASA-ROSES Heliophysics Innovation in Technology and Science

Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7b1964FA9E-5648-A6F2-B0BE-35BF0DEF580D%7d&path=&method=init
Limited Submission: No

Description

This Heliophysics Innovation in Technology and Science (HITS) Program element solicits proposals that advance the goals and objectives of NASA Heliophysics by conducting outstanding, innovative or expeditious research that can be accomplished in one year. 

Deadline: On-going


NSF Computational and Data-Enabled Science and Engineering (CDS&E)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505920
Limited Submission: No

Description

The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any area of research supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. 

Deadline: varies by program


DOE Notice of Intent to Issue a Funding Opportunity for the High Performance Computing for Energy Innovation Program

Link: https://www.fbo.gov/spg/DOE/LLNL/LL/FBO450-20/listing.html
Limited Submission: No

Description

 


NSF Cyberinfratstructure Centers for Excellence (CI CoE)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505744&WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

The Nations advanced research cyberinfrastructure (CI) ecosystem catalyzes discovery and innovation across all areas of science and engineering (S&E) research and education. The increasingly complex and rapidly evolving S&E landscape requires an agile, integrated, robust, trustworthy, and sustainable CI ecosystem that will drive new thinking and transformative discoveries in all areas of research and education.

The success of this vision depends on the ability of the research community to be able to easily and effectively access and use state-of-the-art research CI resources and services in a timely way. This, in turn, drives a set of requirements on the development, operation, and evolution of the CI ecosystem. First, research CI resources and services must be designed to leverage and drive innovations, and they must be user-centric and interoperable to enable the efficient, flexible end-to-end discovery pathways that are increasingly essential for the conduct of research. Second, the information, expertise, and services needed to maximally utilize the CI ecosystem must be disseminated broadly and concertedly to the research community.

The NSF Cyberinfrastructure Centers of Excellence (CI CoE) Program aims to realize the above vision by supporting hubs of expertise and innovation targeting specific areas, aspects, or stakeholder communities of the research CI ecosystem. Supported CI CoEs provide expertise and services related to CI technologies and solutions; gather, develop, and communicate community best practices; and serve as readily-available resources for both the research community and the CI community. A key objective of this program is to support CI CoEs that drive advancements in and positively impact the CI ecosystem through structured but strongly community-engaging and community-serving approaches. Overall, CI CoEs are a means of concentrating resources on a specific area of identified need in support of the broader goal of advancing capabilities and performance of the national CI ecosystem [1].

Activities. Successful CI CoE projects will perform a range of functions such as:

  • Exploring emerging technologies, disruptions, opportunities, and community needs, and developing proactive design and adoption strategies, practices, and other approaches in response;
  • Nurturing communities of stakeholders and experts in their area(s) of focus (foci) with the overall goal of achieving self-sustaining communities of practice; and
  • Providing services, training, and outreach to target communities.

Topics and Pathways. NSF anticipates creating such CI CoEs in response to specific needs and gaps. NSF anticipates issuing Dear Colleague Letters to indicate interest in pilot CI CoE proposals on particular focus areas. NSF may initially invest in two-year pilot CI CoE projects which aim to develop concepts and plans and demonstrate feasibility through pilot activities as preparatory precursors to eventual proposals for establishing full-scale CI CoEs. The level of support for pilot CI CoE projects is expected to vary, based on the topic and range of activities proposed.

Lifecycle and expected endpoint. CI CoEs are typically expected to operate for five years and may be renewed, subject to the outcome of performance reviews, NSF prioritization, continuing demonstrated need for the CI CoE, and availability of funds, consistent with NSF merit review principles.

Guidance to proposers. Individuals interested in submitting a proposal for a CI CoE project must first discuss their project idea with the cognizant CI CoE Program Director(s) in the relevant areas prior to submission and indicate the occurrence of such a discussion as a Supplementary Document in the eventual proposal. Proposals submitted without such documented prior discussion will be returned without review.


DOD-NIWC Pacific C4ISR, Information Operations, Cyberspace Operations and Information Technology System Research, Cryogenics & Quantum

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=334026
Limited Submission: No

Description

Submissions in response to this announcement shall be for areas relating to the advancement of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) capabilities, enabling technologies for Information Operations and Cyberspace Operations, and Information Technology systems. Proposed research should investigate unique and innovative approaches for defining and developing next generation integratable C4ISR capabilities and command suites. 

Deadline: On-going


DOD-DARPA Defense Sciences Office Office-wide

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=334133
Limited Submission: No

Description

The DSO Office-wide BAA invites proposers to submit innovative basic or applied research concepts or studies and analysis proposals that address one or more of the following technical thrust areas: (1) Frontiers in Math, Computation and Design, (2) Limits of Sensing and Sensors, (3) Complex Social Systems, and (4) Anticipating Surprise. Each of these thrust areas is described below and includes a list of example research topics that highlight several (but not all) potential areas of interest. Proposals must investigate innovative approaches that enable revolutionary advances. 

Deadline: On-going


NSF Dear Colleague Letter: Data Science Activities for the Civil, Mechanical and Manufacturing Innovation Communities

Link: https://www.nsf.gov/pubs/2020/nsf20027/nsf20027.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

CMMI invites current grantees to request supplemental funds to expand the breadth of their current activities through exploration and implementation of Data Science approaches. This may include the addition of a new collaborator, student, or postdoctoral researcher; expansion of the activities of currently funded awards to include new data-driven approaches to address the current award scope; additional training of participants in Data Science methods; community-building activities to enhance current research programs; or other approaches and activities that expand the impact of current CMMI awards through Data Science approaches and techniques. 

Deadline:  On-going


NSF Dear Colleague Letter: Research Opportunities for the Directorate for Engineering in Artificial Intelligence

Link: https://www.nsf.gov/pubs/2020/nsf20029/nsf20029.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


NSF Foundational Research in Robotics (Robotics)

Link: https://nsf.gov/funding/pgm_summ.jsp?pims_id=505784
Limited Submission: No

Description

The focus of the Robotics program is on foundational advances in robotics. Robotics is a deeply interdisciplinary field, and proposals are encouraged that explore the full range of fundamental engineering and computer science research challenges arising in robotics. However, all proposals must convincingly explain how a successful outcome will enable transformative new robot functionality or substantially enhance existing robot functionality. The proposal should clearly articulate how the intellectual contribution of the proposed work addresses fundamental gaps in robotics.  

 

Deadline:  Anytime after August 1, 2020

Dear Colleague Letter


NSF Cyberinfrastructure for Emerging Science and Engineering Research (CESER)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505385
Limited Submission: No

Description

The CESER program aims to catalyze new science and engineering discovery pathways through early-stage collaborative activities between disciplinary scientists and engineers as well as developers/implementers of innovative cyberinfrastructure (CI) capabilities, services, and approaches.  A central feature of successful CESER projects is a strong, mutually-dependent collaborative team comprising expertise in the target science/engineering discipline(s) and expertise in CI development and implementation. 

 

Deadline:  On-going

Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, (765) 494-4600

© 2021 Purdue University | An equal access/equal opportunity university | Copyright Complaints

Trouble with this page? Disability-related accessibility issue? Please contact us at datascience@purdue.edu.