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Funding Opportunities


NIH Explainable Artificial Intelligence for Decoding and Modulating Neural Circuit Activity Linked to Behavior (R01)

Deadline: Tuesday, March 10, 2020
Link: http://grants.nih.gov/grants/guide/pa-files/PAR-19-344.html
Limited Submission: No

Description

EXplainable Artificial Intelligence (XAI) aims to provide strong predictive value along with mechanistic understanding by combining machine learning techniques with effective explanatory techniques. This Funding Opportunity Announcement (FOA) solicits applications in the area of XAI applied to neuroscientific questions of encoding, decoding, and modulation of neural circuits linked to behavior. This FOA encourages collaborations between computationally and experimentally-focused investigators. This FOA seeks machine learning algorithms able to mechanistically explain how experimental manipulations can improve cognitive, affective, or social processing in humans or animals.  


NSF Human Networks and Data Science - Infrastructure (HNDS-I)

Deadline: Monday, February 24, 2020
Link: https://www.nsf.gov/pubs/2019/nsf19608/nsf19608.htm
Limited Submission: No

Description

The Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. Successful proposals will, within the financial resources provided by the award, construct such databases and/or relevant analytic techniques and produce a finished product that will enable new types of data-intensive research. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by enabling new types of data-intensive research in the SBE sciences.

Human Networks and Data Science (HNDS) is a two-track program. It supports research and infrastructure that uses data science to advance understanding of a full range of human networks. HNDS research will identify ways in which dynamic, distributed, and heterogeneous data can provide novel answers to fundamental questions about individual and group behavior. HNDS is especially interested in proposals that leverage data-rich insights about human networks to support improved health, prosperity, and security.

HNDS has two components:

  1. Human Networks and Data Science – Infrastructure (HNDS-I). Development of data resources and relevant analytic techniques that support fundamental SBE research in the context of human networks. For FY 2020, this research is funded through this solicitation, which replaces the previous Resource Implementations for Data Intensive Research in the Social, Behavioral and Economic Sciences (RIDIR) solicitation.
  2. Human Networks and Data Science – Core Research (HNDS-R). Core research proposals use data science to generate novel understandings of human networks – particularly understandings that can improve the outcomes of significant societal opportunities and challenges. HNDS encourages core research proposals that make innovative use of HNDS infrastructure (formerly RIDIR).

The HNDS - Infrastructure solicitation is currently accepting proposals. A subsequent funding announcement for HNDS Core Research will be released in 2020, pending availability of funding.


NIH Explainable Artificial Intelligence for Decoding and Modulating Neural Circuit Activity Linked to Behavior (R01 Clinical Trial Optional)

Deadline: Monday, February 10, 2020
Link: https://grants.nih.gov/grants/guide/pa-files/PAR-19-344.html
Limited Submission: No

Description

Explainable Artificial Intelligence (XAI) aims to provide strong predictive value along with mechanistic understanding of AI by combining machine learning techniques with effective explanatory techniques. This Funding Opportunity Announcement (FOA) solicits applications in the area of XAI applied to neuroscientific questions of encoding, decoding, and modulation of neural circuits linked to behavior. This FOA encourages collaborations between computationally and experimentally-focused investigators. This FOA seeks the development of machine learning algorithms that are able to mechanistically explain how experimental manipulations affect cognitive, affective, or social processing in humans or animals. Proof-of-concept applications aimed at improving the current state of the technology that uses XAI to provide unbiased, hierarchical explanations of causal relationships between complex neural and behavioral data are also appropriate 

LOI deadline: February 10, 2020

Proposal deadline: March 10, 2020


NIH NCI Notice of Special Interest (NOSI): Geospatial Approaches in Cancer Control and Population Sciences

Deadline: Wednesday, February 5, 2020
Link: https://grants.nih.gov/grants/guide/notice-files/NOT-CA-20-004.html
Limited Submission: No

Description

NCI is interested in multilevel research that promotes geospatial approaches to advance cancer control and prevention research. Geospatial approaches include the use of location-based technologies such as geographic information systems (GIS), global positioning systems (GPS), other location-based technologies or may involve improved mapping techniques and applied spatial methodology. Multilevel research involves addressing two or more of the following levels: individual factors (e.g., environmental exposures, lifestyle behaviors); family, school, workplace, and community structure; natural, built, and social environments; and biology (e.g., biomarkers of effect, early damage, etc.). At least one of the levels must be spatially derived.  

Deadline:  Depends on target FOA starting February 5


Simons Foundation Collaborations for Mathematicians

Deadline: Thursday, January 30, 2020
Link: https://www.simonsfoundation.org/grant/collaboration-grants-for-mathematicians/
Limited Submission: No

Description

The goal of the program is to substantially increase collaborative contacts between accomplished, active mathematicians in the United States, who do not otherwise have access to funding that allows support for travel and visitors.  Each collaboration grant provides $8,400 per year for up to five years: $6,000 per year for collaboration, travel and research funds for the awardee; $1,000 per year in discretionary funds for the awardee’s department to enhance the research atmosphere of the department; and 20 percent ($1,400) per year in indirect costs.  To be eligible, the individual must have a Ph.D. degree and hold a tenure-track or tenured position with a full-time appointment in a mathematics department with a Ph.D. degree granting program, have a current record of research and publication in high-quality journals, and not currently hold any other external grants as PI or co-PI with an end date after September 1, 2020.  

Deadline:  January 30


NSF/USDA/DHS/DOT/VA National Artificial Intelligence (AI) Research Institutes

Deadline: Tuesday, January 28, 2020
Link: https://www.nsf.gov/pubs/2020/nsf20503/nsf20503.htm
Limited Submission: No

Description

This program, a joint effort of the National Science Foundation (NSF), U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA), U.S. Department of Homeland Security (DHS) Science & Technology Directorate (S&T), U.S. Department of Transportation (DOT) Federal Highway Administration (FHWA), and U.S. Department of Veterans Affairs (VA), seeks to enable such research through AI Research Institutes. This program solicitation describes two tracks: Planning and Institute tracks. Submissions to the Planning track are encouraged in any areas of foundational and use-inspired research appropriate to NSF and its partner organizations. Proposals for the Institute track must have a principal focus in one or more of the following themes, detailed in the Program Description under "Institute Track":  Trustworthy AI; Foundations of Machine Learning; AI-Driven Innovation in Agriculture and the Food System; AI-Augmented Learning; AI for Accelerating Molecular Synthesis and Manufacturing; and AI for Discovery in Physics. 

Deadline:  January 28– Institute track proposal; January 30 – Planning proposal


NSF Formal Methods in the Field (FMitF)

Deadline: Wednesday, January 22, 2020
Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505518
Limited Submission: No

Description

The Formal Methods in the Field (FMitF) program aims to bring together researchers in formal methods with researchers in other areas of computer and information science and engineering to jointly develop rigorous and reproducible methodologies for designing and implementing correct-by-construction systems and applications with provable guarantees. FMitF encourages close collaboration between two groups of researchers. The first group consists of researchers in the area of formal methods, which, for the purposes of this solicitation, is broadly defined as principled approaches based on mathematics and logic, including modeling, specification, design, program analysis, verification, synthesis, and programming language-based approaches. The second group consists of researchers in the “field,” which, for the purposes of this solicitation, is defined as a subset of areas within computer and information science and engineering that currently do not benefit from having established communities already developing and applying formal methods in their research. This solicitation limits the field to the following areas that stand to directly benefit from a grounding in formal methods: computer networks, cyber-human systems, distributed /operating systems, embedded systems, and machine learning. Other field(s) may emerge as priority areas for the program in future years, subject to the availability of funds.

The FMitF program solicits two classes of proposals:

  • Track I: Research proposals: Each proposal must have at least one Principal Investigator (PI) or co-PI with expertise in formal methods and at least one with expertise in one or more of these fields: computer networks, cyber-human systems, distributed/operating systems, embedded systems, and machine learning. Proposals are expected to address the fundamental contributions to both formal methods and the respective field(s) and should include a proof of concept in the field along with a detailed evaluation plan that discusses intended scope of applicability, trade-offs, and limitations. All proposals are expected to contain a detailed collaboration plan that clearly highlights and justifies the complementary expertise of the PIs/co-PIs in the designated areas and describes the mechanisms for continuous bi-directional interaction. Projects are limited to $750,000 in total budget, with durations of up to four years.
  • Track II: Transition to Practice (TTP) proposals: The objective of this track is to support the ongoing development of extensible and robust formal methods research prototypes/tools to facilitate usability and accessibility to a larger and more diverse community of users. These proposals are expected to support the development, implementation, and deployment of later-stage successful formal methods research and tools into operational environments in order to bridge the gap between research and practice. A TTP proposal must include a project plan that addresses major tasks and system development milestones as well as an evaluation plan for the working system. Proposals are expected to identify a target user community or organization that will serve as an early adopter of the technology. Collaborations with industry are strongly encouraged. Projects are limited to $100,000 in total budget, with durations of up to 18 months.

The Project Description can be up to 15 pages for Track I proposals, and up to 7 pages for the Track II proposals.


NSF Campus Cyberinfrastructure (CC)

Deadline: Tuesday, January 21, 2020
Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504748
Limited Submission: No

Description

The Campus Cyberinfrastructure (CC) program invests in coordinated campus-level networking and cyberinfrastructure improvements, innovation, integration, and engineering for science applications and distributed research projects. Learning and workforce development (LWD) in cyberinfrastructure is explicitly addressed in the program. Science-driven requirements are the primary motivation for any proposed activity.  Deadline:  January 21


NSF: The Science of Learning and Augmented Intelligence Program (SL)

Deadline: Wednesday, January 15, 2020
Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505731
Limited Submission: No

Description

The Science of Learning and Augmented Intelligence Program (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence - how human cognitive function can be augmented through interactions with others, contextual variations, and technological advances.


Dear Colleague Letter: Request for Information on Data-Focused Cyberinfrastructure Needed to Support Future Data-Intensive Science and Engineering Research

Deadline: Monday, December 16, 2019
Link: https://www.nsf.gov/pubs/2020/nsf20015/nsf20015.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


National Science Foundation Research Traineeship (NRT)

Deadline: Thursday, December 5, 2019
Link: https://www.nsf.gov/pubs/2019/nsf19522/nsf19522.htm
Limited Submission: Yes

Description

The NSF Research Traineeship (NRT) program is designed to encourage the development and implementation of bold, new, and potentially transformative models for science, technology, engineering and mathematics (STEM) graduate education training. The NRT program seeks proposals that explore ways for graduate students in research-based master's and doctoral degree programs to develop the skills, knowledge, and competencies needed to pursue a range of STEM careers.

The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas, through the use of a comprehensive traineeship model that is innovative, evidence-based, and aligned with changing workforce and research needs. Proposals are requested in any interdisciplinary or convergent research theme of national priority, with special emphasis on the research areas in NSF's 10 Big Ideas. The NSF research Big Ideas are Harnessing the Data Revolution (HDR), The Future of Work at the Human-Technology Frontier (FW-HTF), Navigating the New Arctic (NNA), Windows on the Universe: The Era of Multi-Messenger Astrophysics (WoU), The Quantum Leap: Leading the Next Quantum Revolution (QL), and Understanding the Rules of Life: Predicting Phenotype (URoL).

The NRT program addresses workforce development, emphasizing broad participation, and institutional capacity building needs in graduate education. Strategic collaborations with the private sector, non-governmental organizations (NGOs), government agencies, national laboratories, field stations, teaching and learning centers, informal science centers, and academic partners are encouraged. NRT especially welcomes proposals that will pair well with the efforts of NSF Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (INCLUDES) to develop STEM talent from all sectors and groups in our society (https://www.nsf.gov/news/special_reports/nsfincludes/index.jsp). Collaborations are encouraged between NRT proposals and existing NSF INCLUDES projects, provided the collaboration strengthens both projects.

 

LOI: November 25 - December 5, 2019

Proposals: February 6, 2020


NSF Ecology and Evolution of Infectious Diseases (EEID)

Deadline: Wednesday, November 20, 2019
Link: https://nsf.gov/funding/pgm_summ.jsp?pims_id=5269&org=NSF&sel_org=NSF&from=fund
Limited Submission: No

Description

The multi-agency Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and social drivers that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be the quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. 


NIH Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R01 - Clinical Trials Not Allowed)

Deadline: Thursday, November 14, 2019
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-20-008.html
Limited Submission: No

Description

The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology.  


NIH Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R21 - Clinical Trials Not Allowed)

Deadline: Thursday, November 14, 2019
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-20-009.html
Limited Submission: No

Description

The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology.  


NSF Information and Intelligent Systems (IIS): Core Programs

Deadline: Thursday, November 14, 2019
Link: https://www.nsf.gov/pubs/2018/nsf18570/nsf18570.htm
Limited Submission: No

Description

The Division of Information and Intelligent Systems (IIS) studies the inter-related roles of people, computers, and information. IIS supports research and education activities that 1) develop new knowledge about the role of people in the design and use of information technology; 2) increase our capability to create, manage, and understand data and information in circumstances ranging from personal remote devices to globally-distributed systems; and 3) advance our understanding of how computational systems can exhibit the hallmarks of intelligence.

Medium projects September 9-16, Large Projects September 18-25, Small Projects Oct 31-Nov 14


NSF Computer and Information Science and Engineering (CISE): Core Programs

Deadline: Thursday, November 14, 2019
Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505667&WT.mc_id=USNSF_39&WT.mc_ev=click
Limited Submission: No

Description

The NSF CISE Directorate supports research and education projects that develop new knowledge in all aspects of computing, communications, and information science and engineering, as well as advanced cyberinfrastructure, through the following core programs:

Office of Advanced Cyberinfrastructure (OAC):

  • OAC Core Research (OAC Core) program;

Division of Computing and Communication Foundations (CCF):

  • Algorithmic Foundations (AF) program;
  • Communications and Information Foundations (CIF) program;
  • Foundations of Emerging Technologies (FET) program; and
  • Software and Hardware Foundations (SHF) program;

Division of Computer and Network Systems (CNS):

  • CNS Core (CNS Core) program;

Division of Information and Intelligent Systems (IIS):

  • Cyber-Human Systems (CHS) program;
  • Information Integration and Informatics (III) program; and
  • Robust Intelligence (RI) program.

Proposers are invited to submit proposals in several project classes, which are defined as follows:

  • Small Projects -- up to $500,000 total budget with durations up to three years: projects in this class may be submitted to OAC, CCF, CNS, and IIS;
  • Medium Projects -- $500,001 to $1,200,000 total budget with durations up to four years: projects in this class may be submitted to CCF, CNS, and IIS only; and
  • Large Projects -- $1,200,001 to $3,000,000 total budget with durations up to five years: projects in this class may be submitted to CNS only.

A more complete description of these project classes can be found in Section II. Program Description of this document.


Dear Colleague Letter: Data-Driven Discovery Science in Chemistry (D3SC)

Link: https://www.nsf.gov/pubs/2018/nsf18075/nsf18075.pdf
Limited Submission: No

Description

In 2016, NSF unveiled a set of "Big Ideas" -- 10 bold, long-term research ideas that identify areas for future investment at the frontiers of science and engineering. Among them, the "Harnessing the Data Revolution" idea aims to promote engagement of NSF's research community in the pursuit of fundamental research in data science and engineering, the development of a cohesive, federated, national-scale approach to research data infrastructure, and the development of a 21st-century data-capable workforce. Within this context, the Division of Chemistry (CHE) through this Dear Colleague Letter (DCL) invites submission of research proposals that seek to capitalize on the data revolution and promote data-driven discoveries to advance fundamental understanding of complex chemical systems. 

Deadline continuous


NSF Quantum Leap Challenge Institutes (QLCI)

Link: https://www.nsf.gov/pubs/2019/nsf19559/nsf19559.htm
Limited Submission: No

Description

Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects that aim to advance the frontiers of quantum information science and engineering. Research at these Institutes will span the focus areas of quantum computation, quantum communication, quantum simulation and/or quantum sensing. The institutes are expected to foster multidisciplinary approaches to specific scientific, technological, educational workforce development goals in these fields. Two types of awards will be supported under this program: (i) 12-month Conceptualization Grants (CGs) to support teams envisioning subsequent Institute proposals and (ii) 5-year Challenge Institute (CI) awards to establish and operate Quantum Leap Challenge Institutes.  

Deadline:  Depends on mechanism (see RFP)


Dear Colleague Letter: Transitioning the NSF Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA) Program

Link: https://www.nsf.gov/pubs/2019/nsf19039/nsf19039.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


Dear Colleague Letter: Revisions to the Cyber-Physical Systems and Smart and Connected Communities Program Deadlines

Link: https://www.nsf.gov/pubs/2019/nsf19040/nsf19040.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


Dear Colleague Letter: Supporting Research at the Intersection of Agricultural Science, Big Data, Informatics, and Smart Communities, a joint effort between the National Science Foundation (NSF) and the U.S. Department of Agriculture's National Institute

Link: https://www.nsf.gov/pubs/2019/nsf19051/nsf19051.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


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


NSF Dear Colleague Letter: Supporting Research at the Intersection of Agricultural Science, Big Data, Informatics, and Smart Communities, a joint effort between the National Science Foundation (NSF) and the U.S. Department of Agriculture's National Instit

Link: https://www.nsf.gov/pubs/2019/nsf19051/nsf19051.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

Motivated by the increasing volumes of data, faster computation, and algorithmic advances, there is an opportunity to apply transformative, data-driven research methods to the agriculture sector that are responsive to and will yield meaningful insights for farmers, other stakeholders, and society at large. Of interest for this DCL are applications focused on economically important plants, animals, and their environments—in particular food, fuel, feed, and health—and where research outcomes in a particular application area may be transferable to, or informative for, other agricultural application areas. Relevant stakeholders can be integrated into the proposed research activities, including as partners in the project, if appropriate for the project.  Proposals may be submitted to one of the programs:  Cyber-physical systems (CPS); Information and Intelligent System (IIS): Core Programs; or Smart and Connected Communities (S&CC). 

Deadline:  Depends on program


Dear Colleague Letter: UKRI/BBSRC- NSF/BIO Lead Agency Opportunity in Bioinformatics, Microbiome, Quantum Biology and Synthetic Biology/Synthetic Cell

Link: https://www.nsf.gov/pubs/2019/nsf19058/nsf19058.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

The lead agency opportunity allows US and UK researchers to submit a single proposal describing a project involving US and UK researchers, that will undergo a single review process by the lead agency, on behalf of both NSF/BIO and UKRI/BBSRC. In 2019 proposals will be accepted for US-UK collaborative projects in the areas of intersection between NSF/BIO and UKRI/BBSRC as set out in the notice of intentions. Proposals must address the priorities of both UKRI/BBSRC and participating NSF/BIO Divisions. Proposers must provide a clear rationale for the need for a US-UK collaboration, including the unique expertise and synergy that the collaborating groups will bring to the project. Proposers should note that the lead agency opportunity does not represent a new source of funding. Proposals will be assessed in competition with all others submitted to normal solicitations/responsive mode round, and outcomes will be subject to both success in merit review and the availability of funds from both UKRI/BBSRC and NSF/BIO

 

Deadline: Based on deadline of the target program; an LOI must be submitted in advance and an invitation to submit must be received


NSF Frequently Asked Questions (FAQs) about the Quantum Leap Challenge Institutes (QLCI) Program

Link: https://www.nsf.gov/pubs/2019/nsf19061/nsf19061.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


NIH NLM Career Development Award in Biomedical Informatics and Data Science (K01)

Link: https://grants.nih.gov/grants/guide/pa-files/PAR-16-204.html
Limited Submission: No

Description

The purpose of the NLM Career Development Award (K01) in Biomedical Informatics and Data Science is to provide support and "protected time" (up to three years) for an intensive career development experience in biomedical informatics and data science leading to research independence. NLM invites K01 applications from junior investigators, who have either a health professional or research doctorate and who are in the first three years of their initial faculty positions. Candidates who received their training at one of NLM's university-based biomedical informatics training programs are encouraged to apply.   


Dear Colleague Letter: Effective Practices for Data

Link: https://www.nsf.gov/pubs/2019/nsf19069/nsf19069.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

The purpose of this Dear Colleague Letter (DCL) is to describe — and encourage — effective practices for managing research data, including the use of persistent identifiers (IDs) for data and machine-readable data management plans (DMPs).

 


Notice of Data Sharing Policy for the National Institute of Mental Health

Link: https://grants.nih.gov/grants/guide/notice-files/NOT-MH-19-033.html
Limited Submission: No

Description

Widespread data sharing by research communities adds significant value to research and accelerates the pace of discovery. The National Institute of Mental Health (NIMH) has established an informatics infrastructure to enable the responsible sharing and use of data collected from and about human subjects by the entire research community. Consistent with authorities under the 21st Century Cures Act, researchers who are funded by NIMH are required to deposit all raw and analyzed data (including, but not limited to, clinical, genomic, imaging, and phenotypic data) from experiments involving human subjects into this infrastructure.


DOD-DARPA DSO Office-wide Broad Agency Announcement

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=316971
Limited Submission: No

Description

The DSO Office-wide BAA invites proposers to submit innovative basic or applied research concepts that address one or more of the following technical domains: (1) Frontiers in Math, Computation and Design, (2) Limits of Sensing and Sensors, (3) Complex Social Systems, and (4) Anticipating Surprise. Each of these domains 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


Semiconductor Research Corporation (SRC) Solicitations

Link: https://www.src.org/funding-opportunities/Pages/Home.aspx
Limited Submission: No

Description

SRC is soliciting white papers in the areas of Computer-Aided Design and Test (CADT), Logic and Memory Devices (LMD), AI Hardware (AIHW), Packaging (PKG) and Packaging "CHIRP" (PKG CHIRP).  Please note white papers addressing the needs in the corresponding Research Needs documents are to be uploaded by the deadline noted in each solicitation timeline. Each researcher may be involved in no more than two submissions per call. A selected white paper will result in an invitation to submit a full proposal for further consideration for a research contract.  

Deadline:  Varies by topic


NSF Dear Colleague Letter: Revised Deadline for the Advanced Computing Systems & Services (ACSS): Adapting to the Rapid Evolution of Science and Engineering Research Program

Link: https://www.nsf.gov/pubs/2019/nsf19075/nsf19075.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


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

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.


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: 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


NSF Secure and Trustworthy Cyberspace (SaTC)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504709&org=NSF&sel_org=NSF&from=fund
Limited Submission: No

Description

The SaTC program takes an interdisciplinary, comprehensive and holistic approach to cybersecurity research, development, and education, and encourages the transition of promising research ideas into practice. The SaTC program welcomes proposals that address cybersecurity and privacy, and draw on expertise in one or more of these areas: computing, communication and information sciences; engineering; education; mathematics; statistics; and social, behavioral, and economic sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are each welcome.  Proposals can fall under one of the following designations:  CORE, Education (EDU), or Transition to Practice (TTP).  CORE and TTP proposals can either be small projects (up to $500k over three years) or medium projects ($500,001 to $1.2M over four years).  EDU proposals are limited to $400k over three years. 

Deadlines:  On-going


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

 

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