• R&D cooperation between two companies or cooperation between a company and a university/research institution (one from the U.S. and one from Israel)
• Innovation in all areas of renewable energy and energy efficiency, such as solar and wind power, advanced vehicle technologies and alternative fuels, smart grid, storage, water-energy nexus, advanced manufacturing, etc.
• Innovation in natural gas and other associated technologies
• Significant commercial potential; the project outcome should lead to commercialization

1. Research Grants will be aligned with two priorities with at least one overlapping with an Incubation Award priority from the previous year. This year, the two priority areas are: Confronting Climate Change and Cultivating Well-being and Nutrition.
2. Research Platforms are adaptable and dynamic resources that can be accessed by multiple faculty to support projects in a variety of disciplines. The goal of these awards is to provide one-time support for the development of research platforms that can be funded in the future by external support mechanisms.
3. Public Health Pedagogy awards intend to produce scalable innovations that will improve the quality of teaching and learning at the Harvard Chan School. Special consideration will be given to applications that have the potential to be scaled up School-wide to benefit teaching and learning at all levels. The goal is to provide one-time support for the development of pedagogical innovations that can be integrated into educational programs or funded in the future by external support mechanisms.

1. substantially reduce noise levels detrimental to high fidelity gates in trapped ion systems and to improve the stability of these gates once achieved;
2. explore novel quantum information encoding schemes and/or entanglement generation schemes with trapped ion systems; and
3. development of critical supporting technology required for successful highly stable high fidelity trapped ion systems.

 

 

• Leading-edge techniques in data collection, management, visual analytics and decision-making
• Robust risk modeling techniques
• Performance metrics and methodologies
• Collaboration and cross-functional teams
• Model-Based Acquisition

 

• Topic 1: Peer/Near-peer Statecraft, Influence, and Regional Balance of Power
• Topic 2: Power, Deterrence, and Escalation Management
• Topic 3: Alliances and Burden Sharing
• Topic 4: Economic Interdependence and Security
• Topic 5: Economic Viability, Resilience, and Sustainability of Logistics Infrastructure
• Topic 6: Multi-Domain Behavioral Complexity and Computational Social Modeling
• Topic 7: Autonomy, Artificial Intelligence, Machine Ethics, and Social Interactions
• Topic 8: Models and Methods for Understanding Covert Online Influence
• Topic 9: Automated Cyber Vulnerability Analysis

1. Innovative dual use (software provisioned) LIDAR and FSO communications using shared hardware and common aperture with reduced size, weight and power;
2. Tactical enhancements to proposed 5G standards and implementations for improved resiliency and survivability in highly contested environments;
3. Novel approaches for low probability of detect/intercept communications against advanced electronic threats;
4. Dynamic scheduling, routing and control mechanisms to efficiently and reliably deliver traffic with varying level of service requirements (e.g., latency, loss rate, priority); and
5. Machine learning and other techniques/concepts for autonomous network management by translating Commander's Intent into network policies.

ARPA-E Design Intelligence Fostering Formidable Energy Reduction and Enabling Novel Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE)

1. Enhance the creativity of the hypothesis generation (i.e. conceptual design) process by helping engineers develop new concepts and by enabling the consideration of a larger and more diverse set of design options during the hypothesis generation phase
2. Enhance the efficiency of the high-fidelity evaluation (i.e. detailed design) process by accelerating the high-fidelity analysis and optimization of the hypothesized solution, and
3. To ultimately reduce (ideally eliminate) design iteration by developing the capability to execute "inverse design" processes in which the product design is effectively expressed as an explicit function of the problem statement.

Traineeship in Accelerator Science & Engineering

FAS/SEAS/OSP Deadline: May 23, 2019

Sponsor Deadline: May 31, 2019

Award Amount:  Up to $5M is available to provide funding to support tuition, stipend, and travel costs for students, and to provide modest support for curriculum development and program administration support. Award terms are expected to be up to five years, with awardees eligible to submit applications for a renewal and a second term.

This program will support innovative, university-led proposals for graduate level training that leverage DOE assets, capabilities, and strategic partnerships, and address emerging needs in graduate training to enable preparedness for STEM careers beyond academia in areas critical to DOE mission-driven workforce needs. Individual Universities may apply or a consortium of Universities may apply. The enrollment requirement is four to ten new students enrolled every year, with the DOE Traineeship providing support for up to two years per student. Students must be enrolled in a qualified graduate program in:

• accelerator science, or
• physics, with specialization in accelerator science, or
• applied physics, with specialization in accelerator science, or
• engineering, with a specialization in accelerator engineering.

Awards resulting from this FOA must be for education and training, which may be conducted through research.

• Topic 1 - Rotating Detonation Rocket Engine Concept Development
• Topic 2 - Chemical Heat Integrated Power Systems
• Topic 3 - Rocket Plume-Surface Interaction Prediction Advancements
• Topic 4 - Machine Learning/Deep Learning Tools for Protecting Astronauts from Solar Energetic Particle Hazards
• Topic 5 - Next Generation Durability and Damage Tolerance Methodologies
• Topic 6 - Integration of Cryogenic Fluid Two Phase Numerical Modeling Techniques

NASA Research Opportunities in Aeronautics-2018 (ROA-2018) Appendix B.5: System-Wide Safety Project (SWS) *

Sponsor Deadline for Notices of Intent (requested): June 3, 2019

FAS/SEAS/OSP Deadline: 5 business days prior to submission

Sponsor Deadline for Full Proposals: July 16, 2019

Award Amount: Varies by Subtopic Area. The System-Wide Safety Project anticipates investing a total of $1.5M per year in the solicited subtopics over the next three years. The maximum period of performance will be three years, with nominal budgets in the range of $250K-$500K per year. Approximately 6 new awards are anticipated. Please see the NASA Research Announcement (NRA) for further details.

 

The System-Wide Safety (SWS) Project uses new research tools, innovative technologies, and operational methods to safely enable the transformation of aviation to make flight more efficient and accessible, even as the global demand for air transportation services steadily increases. The primary research focus is to develop technologies to enable in-time, system-wide safety. The project also conducts research to create safety-related advances in methods used for the verification and validation of advanced, increasingly autonomous systems. The project has two primary goals. The first goal is to explore, discover and understand how safety could be affected by the growing complexity of advanced aviation systems designed to improve the efficiency of flight, and the increasing number and type of aircraft - piloted and otherwise - available to an ever-growing number and type of customers. The second goal is to develop and demonstrate the research tools, innovative technologies and operational methods that will proactively mitigate those potential risks in order to maintain the aviation industry's unparalleled safety record. SWS activities are directed toward building a system of expanded safety awareness that includes increased access to relevant data, integrated analysis capabilities, improved in-time detection and alerting of hazards, full decision support and automated safety mitigation strategies.

 

The primary research focus of this NRA call is to develop and demonstrate cost-efficient verification and validation methods that provide justifiable confidence in safety claims for designs of complex ATM/avionics systems, including increasingly autonomous, non-deterministic systems. This NRA is soliciting proposals in five subtopic areas:

• Subtopic 1: Assuring Increasing Autonomous Systems with Non-Traditional Human-Machine Roles
• Subtopic 2: Case Study Application of the Overarching Properties (OPs)
• Subtopic 3: Evaluation of V&V Tools on Industrial Case
• Subtopic 4: Interpretation of Structured Assurance Arguments
• Subtopic 5: Assessing Partial Automation of Safety Argument Reconstruction and Analysis

• A two-page research proposal. Subsequent pages for references and/or graphics may be included and do not count toward the page limit.
• A current CV
• A letter of support from the department chair or program director of the candidate's proposed host department/program at Harvard. The letter should describe the position details, the institutional resources to be committed, and the commitment of the host to the career development of the applicant

• For INTERN supplements related to CoPe, PIs should follow the instructions of DCL NSF 18-102, as well as articulating CoPe relevance in the two-page summary that describes the internship. PIs should email NSFcope@nsf.gov before submitting a supplement request. Upon submission of an INTERN supplement, PI should send an email to NSFcope@nsf.gov that includes the original award number, the supplement proposal number, and the name of the managing program director. 

• PIs interested in submitting RCN, EAGER, and Conference proposals in response to this DCL for FY19 should contact NSF at NSFcope@nsf.gov by May 31st, 2019 with a one-page summary of their plan to submit. This one-page summary should identify the type of opportunity (e.g. EAGER, RCN, Conference), the institutions involved and a brief summary of the CoPe effort to be proposed. NSF will respond to the inquiry with encouragement or discouragement of submission, as well as more details on how to submit a full proposal by the target date of June 28th, 2019. Inquiries about this DCL and questions about submission of RCN, EAGER, Conference proposals or INTERN supplements, in response to this DCL should be directed to NSFcope@nsf.gov.

Models for Uncovering Rules and Unexpected Phenomena in Biological Systems (MODULUS) *

OSP/FAS/SEAS Deadline: 5 business days prior to submission of full proposal

Sponsor Deadline: June 1, 2019 (for FY19 funding); April 1, 2020 (for FY20 funding)

Award Amount: no specified limit; budgets to be appropriate for the scope of the project proposed

The National Science Foundation (NSF) Division of Mathematical Sciences (DMS), in collaboration with the Division of Molecular and Cellular Biosciences (MCB), seeks to promote interdisciplinary research that enables novel mathematical and computational approaches that capture and explore the full range of mechanisms and biological variability needed to better understand biological systems behavior across multiple scales. Funding opportunities are available in fiscal years FY2019 and FY2020 to provide support for proposals from interdisciplinary teams comprised of mathematical, computational, and biological scientists to develop  MOD els for  U ncovering Ru l es and  U nexpected Phenomena in Biological  S ystems ( MODULUS ). This Dear Colleague Letter (DCL) is to encourage researchers involved in the biosciences and the mathematical sciences to collaborate formatively in biological investigations using novel mechanistic mathematical models to guide biological exploration and discovery of new rules in living systems.

 

Proposals funded through this DCL are anticipated to cultivate innovative modes of collaboration among researchers working at the interface of mathematics and molecular and cellular biology, with an emphasis on systems-scale integration. Each proposal submitted in response to this DCL should address a current state-of-the-research challenge and describe a strategy for formative integration of mathematical and biological understanding to address the challenge. In addition, the proposal should describe the unique interdisciplinary training opportunity for graduate students and postdoctoral researchers working on the project. Proposals in response to this DCL should be submitted to either DMS via the  Mathematical Biology Program Description   or the MCB solicitation,  NSF 18-585 , directed to the Systems and Synthetic Biology program (8011). The proposal title should be prefaced with "MODULUS:". The MCB solicitation accepts proposals to core programs or to a Rules of Life (RoL) track. Submission to either track is permissible given that the guidance as detailed in the solicitation ( NSF 18-585 ) for each is followed. For proposals submitted to MCB and targeted for the RoL track, a second program in another BIO Division must  also be identified.

• Cyber-Physical Systems (CPS) program;
• Information and Intelligent Systems (IIS): Core Programs: Information Integration and Informatics (III) program; and
• Smart and Connected Communities (S&CC) program.

Partnerships for Innovation (PFI) Program  

1. NSF-supported research results: The PI or a co-PI must have had an NSF award that ended no more than seven (7) years prior to the full proposal deadline date or be a current NSF award recipient. The proposed technology development project must be derived from the research results and/or discoveries from this underlying NSF award.

2. NSF-supported customer discovery results through the NSF I-Corps Teams  Program: The PI or a co-PI must have been a member of an award under the NSF I-Corps Teams Program (https://www.nsf.gov/news/special_reports/i-corps/teams.jsp). The PI or co-PI must have fully completed the training provided under the I-Corps Team award within the past four (4) years. The customer discovery activities performed under the NSF-funded I-Corps award must be based on the technology that is proposed to be translated within the PFI proposal.

• S&CC Integrative Research Grants (SCC-IRGs) Tracks 1 and 2. Awards in this category will support fundamental integrative research that addresses technological and social science dimensions of smart and connected communities and pilots solutions together with communities.

• S&CC Planning Grants (SCC-PGs). Awards in this category are for capacity building to prepare project teams to propose future well-developed SCC-IRG proposals.

1. REU Sites are based on independent proposals to initiate and conduct projects that engage a number of students in research. REU Sites may be based in a single discipline or academic department or may offer interdisciplinary or multi-department research opportunities with a coherent intellectual theme. Proposals with an international dimension are welcome.
2. REU Supplements may be included as a component of proposals for new or renewal NSF grants or cooperative agreements or may be requested for ongoing NSF-funded research projects.