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Funding Opportunities


NSF Spectrum and Wireless Innovation enabled by Future Technologies (SWIFT)

Deadline: Friday, April 3, 2020
Link: https://bit.ly/2tdI1ii
Limited Submission: No

Description

A key aspect of this new solicitation is its focus on effective spectrum utilization and/or coexistence techniques, especially with passive uses, which have received less attention from researchers.  Breakthrough innovations are sought on both the wireless communication hardware and the algorithmic/protocol fronts through synergistic teamwork. The goal of these research projects may be the creation of new technology or significant enhancements to existing wireless infrastructure, with an aim to benefit society by improving spectrum utilization, beyond mere spectrum efficiency. The SWIFT program seeks to fund collaborative team research that transcends the traditional boundaries of individual disciplines. 

Deadline:  April 3


NSF Principles and Practice of Scalable Systems (PPoSS)

Deadline: Monday, March 30, 2020
Link: https://bit.ly/35QpcPw
Limited Submission: No

Description

The aim of the PPoSS program is to support a community of researchers who will work symbiotically across the multiple disciplines above to perform basic research on scalability of modern applications, systems, and toolchains. The intent is that these efforts will foster the development of principles that lead to rigorous and reproducible artifacts for the design and implementation of large-scale systems and applications across the full hardware/software stack. These principles and methodologies should simultaneously provide guarantees on correctness and accuracy, robustness, and security and privacy of systems, applications, and toolchains. Importantly, PPoSS specifically seeks to fund projects that span the entire hardware/software stack and will lay the groundwork for sustainable approaches for engineering highly performant, scalable, and robust computing applications. 

Deadline:  March 30 – Planning grants


NSF Next Generation Software for Data-driven Models of Space Weather with Quantified Uncertainties

Deadline: Friday, March 20, 2020
Link: https://www.nsf.gov/pubs/2020/nsf20519/nsf20519.htm
Limited Submission: No

Description

The goal of this pilot program is to transform development of predictive modeling of the coupled evolution of the magnetized solar atmosphere and the solar wind, and their interaction with the Earth's magnetosphere and upper atmosphere. This requires advancing our understanding of the necessary and sufficient requirements of model complexity, computational performance, and observational inputs. The pilot program is also expected to directly contribute to the long-term goal of creating space weather models with quantifiable predictive capability. 


NSF Algorithms for Threat Detection

Deadline: Wednesday, March 18, 2020
Link: https://www.nsf.gov/pubs/2020/nsf20531/nsf20531.htm
Limited Submission: No

Description

The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA). 

Deadline:  March 18


NIH 4DN Centers for Data Integration, Modeling and Visualization (UM1)

Deadline: Tuesday, March 17, 2020
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-RM-20-004.html
Limited Submission: No

Description

The purpose of this FOA is to solicit applications for research projects to generate reference datasets and to create navigable maps for the study of the spatial and temporal organization of the nucleus, using genomic and imaging data as well as newly developed visualization and integrative analysis tools.  


NSF Semiconductor Synthetic Biology for Information Storage and Retrieval (SemiSynBio-II)

Deadline: Monday, March 16, 2020
Link: https://www.nsf.gov/pubs/2020/nsf20518/nsf20518.htm?WT.mc_id=USNSF_179
Limited Submission: No

Description

This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts and enabling technologies that will address the fundamental scientific issues and technological challenges associated with the underpinnings of synthetic biology integrated with semiconductor technology. This research will foster interactions among various disciplines including biology, physics, chemistry, materials science, computer science and engineering that will enable in heretofore unanticipated breakthroughs.  

Deadline:  March 16


NSF Earth Cube

Deadline: Thursday, March 12, 2020
Link: https://www.nsf.gov/pubs/2020/nsf20520/nsf20520.htm
Limited Submission: No

Description

EarthCube aims to create a well-connected and facile environment to share data and knowledge in an open, transparent, and inclusive manner, thus accelerating our ability to understand and predict the Earth system. Achieving EarthCube will requirea long-term dialog between NSF and the interested scientific communities to develop cyberinfrastructure that is thoughtfully and systematically built to meet the current and future requirements of geoscientists. New avenues will be supported to gather community requirements and priorities for the elements of EarthCube, and to capture the best technologies to meet these current and future needs.  


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.  


NEH Institutes for Advanced Topics in the Digital Humanities

Deadline: Thursday, March 5, 2020
Link: https://www.neh.gov/grants/odh/institutes-advanced-topics-in-the-digital-humanities
Limited Submission: No

Description

The purpose of this program is to support national or regional (multistate) training programs for scholars, humanities professionals, and advanced graduate students to broaden and extend their knowledge of digital humanities. Through this program NEH seeks to increase the number of humanities scholars and practitioners using digital technology in their research and to broadly disseminate knowledge about advanced technology tools and methodologies relevant to the humanities.  


NIH Laboratories to Optimize Digital Health (R01)

Deadline: Monday, March 2, 2020
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-20-510.html
Limited Submission: No

Description

NIMH seeks applications for innovative research projects to test strategies to increase the reach, efficiency, effectiveness, and quality of digital mental health interventions which may impact mental health outcomes, including suicide behaviors and serious mental illness. This FOA is intended to support the development of digital health test beds that leverage well-established digital mental health platforms and infrastructure to rapidly refine and optimize existing evidence-based digital health interventions and to conduct clinical trials testing digital mental health interventions that are statistically powered to provide a definitive answer regarding the intervention's effectiveness.  


NSF EHR Core Research (ECR): Building Capacity in STEM Education Research

Deadline: Friday, February 28, 2020
Link: https://www.nsf.gov/pubs/2020/nsf20521/nsf20521.htm
Limited Submission: No

Description

ECR: BCSER supports activities that enable early and mid-career researchers to acquire the requisite expertise and skills to conduct rigorous fundamental research in STEM education. ECR: BCSER seeks to fund research career development activities on topics that are relevant to qualitative and quantitative research methods and design, including the collection and analysis of new qualitative or quantitative data, secondary analyses using extant datasets, or meta-analyses.


NSF National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRI-2.0)

Deadline: Wednesday, February 26, 2020
Link: https://bit.ly/33VUtPU
Limited Submission: No

Description

The NRI-2.0 program builds upon the original National Robotics Initiative (NRI) program to support fundamental research in the United States that will accelerate the development and use of collaborative robots (co-robots). A co-robot is a robot whose main purpose is to work with people or other robots to accomplish a goal. The program supports four main research themes that are envisioned to advance the goal of ubiquitous co-robots: scalability, customizability, lowering barriers to entry, and societal impact, including human safety.  


NIH Secondary Analysis of Existing Datasets in Heart, Lung, and Blood Diseases and Sleep Disorders (R21)

Deadline: Wednesday, February 26, 2020
Link: https://grants.nih.gov/grants/guide/pa-files/PAR-20-078.html
Limited Submission: No

Description

The goal of this funding opportunity is to stimulate the use of existing human datasets for well-focused secondary analyses to investigate novel scientific ideas or new models, systems, tools, methods, or technologies that have the potential for significant impact on biomedical or biobehavioral research in areas relevant to the NHLBI mission. This FOA actively supports the use of existing database resources to conduct additional analyses secondary to a project's originally-intended primary purpose. Applications may be related to, but must be distinct from, the specific aims of the original data collection. It will not support the collection of new data.  

Deadline:  February 26


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.


DOD National Defense Education Program (NDEP) for Science, Technology, Engineering, and Mathematics (STEM) Education, Outreach, and Workforce Initiative Programs, Fiscal Year 2020

Deadline: Monday, February 24, 2020
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=323091
Limited Submission: No

Description

The DoD seeks innovative applications on mechanisms to implement Science, Technology, Engineering, and Mathematics (STEM) education, outreach, and/or workforce initiative programs.  Each individual award will be up to a maximum of $3,000,000, for a period of up to three (3) years. Applications for larger amounts may be considered on a case-by-case basis. The goal of any proposed effort must provide solutions that will establish and maintain a STEM talent pool with an aptitude for innovation, diversity of thought, and the technical agility to sustain the Department’s competitive edge. 

Deadline:  February 24


Trask Innovation Fund

Deadline: Friday, February 21, 2020
Link: https://bit.ly/30eyqUz
Limited Submission: No

Description

Purdue University inventors who are prepared to move their innovations to market have until Feb. 21 to apply for funding through the Trask Innovation Fund.

The fund is designed to advance the commercial potential of Purdue intellectual property through short-term research projects.

There are three Trask Innovation Fund tracks:

  1. Innovation Sparks for Life Science and Medical Devices: Eligible innovations are applicable to life sciences and medical devices. Technology must not be under any option/license.
  2. Innovation Sparks for Physical Sciences: Eligible innovations are applicable to engineering, chemistry, computer sciences and other fields outside of life sciences. Technology must not be under any option/license.
  3. Commercialization Partner Spark: Technologies in any technology domain for which (a) OTC has either signed an option agreement with a potential licensee or (b) the applicant is engaged with Purdue Research Foundation to establish a commercialization partnership and will sign an option for technology before receiving Trask funding.

DOE Earth System Model Development and Analysis

Deadline: Friday, February 14, 2020
Link: https://science.osti.gov/-/media/grants/pdf/foas/2020/SC_FOA_0002230.pdf
Limited Submission: No

Description

The $7 million funding opportunity announcement  is for “Earth System Model Development and Analysis” aimed at improving the predictive power of Earth system modeling.  The research efforts is focused in three main areas: general improvements to model software especially for DOE’s Energy Exascale Earth System Model (E3SM), better representation of cloud and aerosol interactions within the models, and improved approaches to model initialization.  Applicants are highly encouraged to use machine learning techniques. Applications are open to universities and nonprofit research institutions.  Non-DOE government labs and other federal agencies can be collaborators. 

Pre-applications deadline: February 14, 2020

Application deadline: March 31, 2020


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 Addressing Suicide Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01)

Deadline: Monday, February 10, 2020
Link: https://grants.nih.gov/grants/guide/rfa-files/rfa-mh-20-307.html
Limited Submission: No

Description

This FOA seeks to leverage data from existing basic, clinical, and intervention research on suicide risk and behaviors as well as social media and healthcare records data, by encouraging the integration of existing data sets for novel secondary analyses aimed at identifying potential biological, experiential, and other predictors, moderators, and mitigators of suicide risk. 


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


DOE Computational Tool Development for Integrative Systems Biology Data Analysis

Deadline: Friday, January 31, 2020
Link: https://science.osti.gov/-/media/grants/pdf/foas/2020/SC_FOA_0002217.pdf
Limited Submission: No

Description

The DOE SC program in Biological and Environmental Research (BER), hereby announces its interest in receiving applications for research in developing computational approaches that can integrate large, disparate data types from multiple and heterogeneous sources, such as those used in the Genomic Science program (GSP) (http://genomicscience.energy.gov). Research supported by awards resulting from this FOA will promote human understanding of the natural world through analysis of high-throughput biological systems data. BER has an ongoing mission of improving translation from the molecular to cellular realm within scientific disciplines supported by DOE.

 

Pre-application deadline: January 31, 2020 (5:00 p.m. Eastern)

Application due date: April 9, 2020 (11:59 p.m. Eastern)


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


DOD-AMC Quantum Characterization of Intermediate Scale Systems (QCISS)

Deadline: Tuesday, January 28, 2020
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=323083
Limited Submission: No

Description

The goal of the BAA is to develop efficient and practical protocols and techniques that allow Quantum Characterization, Verification, and Validation (QCVV) of larger systems with direct relevance to Fault Tolerant Quantum Computing (FTQC), and to demonstrate these protocols on intermediate-scale systems. In this BAA, intermediate-scale refers to systems of size 10-20 qubits and larger systems greater than 20 qubits. Proposals are sought to develop reliable, efficient, and scalable protocols for evaluating intermediate-scale quantum systems and selectively characterizing only the subset of information relevant to FTQC. These new methods are sought as the next advances that will empower the quantum computing community to reliably interpret and evaluate emerging larger-scale quantum systems, and not merely a continuation of work applicable to one or two-qubit QCVV. The program success criterion is to identify the subset of information needed to characterize, verify, and validate a system’s behavior relevant for FTQC and create a suite of procedures for measuring that information.  

Deadlines:  January 28 – White paper; March 17 - Proposal


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

 


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 Nation’s 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.


NSF Frequently Asked Questions (FAQs) about the National Artificial Intelligence (AI) Research Institutes: Accelerating Research, Transforming Society, and Growing the American Workforce

Link: https://www.nsf.gov/pubs/2020/nsf20021/nsf20021.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

 


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

 

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