Research grants for Individuals

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Increased understanding of European policy makers, research community, biotech companies, and relevant security practitioners of the threat of bioterrorism and of synthetic biology, including a thorough lawful analysis of what needs to be monitored in this context, what needs to be regulated and how; Awareness raised within the related scientific community how research in synthetic biology can be used for malicious purposes. Scope: The rising threat of bioterrorism is driven by recent scientific advancements, notably by growing accessibility of synthetic biology, genetic engineering, related commercial services and public databases, which in turn enhance their obtainability to non-state actors and individuals with malicious intentions. The proliferation of do-it-yourself biohacking and community laboratories, including gene editing and sequencing technology, dropping costs of equipment and increased simplicity of use may inadvertently facilitate knowledge and skills dissemination about biological threats and open new pathways for bioterrorism. Challenges in detection,…

Society’s most important advances have stemmed from those willing to think differently about what might be possible. ARIA is an R&D funding agency built to unlock scientific and technological breakthroughs that benefit everyone. Created by an Act of Parliament, and sponsored by the Department for Science, Innovation, and Technology, ARIA funds breakthrough R&D in under explored areas to catalyse new paths to prosperity for the UK and the world.

Apply for funding to pursue an adventurous, ambitious, curiosity-driven project in environmental research. You must be: • based at a UK research organisation eligible for Natural Environment Research Council (NERC) funding • in a role that meets the individual eligibility requirements There is no limit on the value of the grant, the value specified within the summary page is an example.

The U.S. Army Research Office (ARO) in partnership with NSA’s Laboratory for Physical Science (LPS) is soliciting Incubator, Collaboration, and Fellowship research proposals for participation in the LPS Qubit Collaboratory (LQC). The mission of the LQC can be captured in three broad goals: 1) pursue disruptive fundamental research and enabling technologies with a focus on qubit development for quantum computing and other applications (such as sensing); 2) grow deep, collaborative partnerships to tackle the most difficult and relevant long-term problems in quantum information science and technology; and 3) build a quantum workforce of tomorrow through research experiences in government at LPS and at LQC partners. The LQC will offer a mechanism for collaborative research between LPS and academia, industry, FFRDCs, and Government Laboratories to advance foundational and transformative research on challenging problems that have hindered progress in quantum information processing and associated technologies. The goal of this BAA is to seek proposals that bring together expertise from the public and private sectors and their respective research infrastructures to advance solutions that may be best approached as a collaborative team. A Collaboratory is “a center without walls, in which the nation’s researchers can perform their research without regard to physical location, interacting with colleagues, accessing instrumentation, sharing data and computational resources, [and] accessing information in digital libraries. This BAA introduces LQC Research Thrusts ( A.1.1 ) which are the technical areas of interest—which will be updated periodically—where partners of the LQC will pursue joint research with LPS through Incubator ( A.1.2 ) and Collaboration ( A.1.3 ) collaborative agreements. The LQC BAA also fulfills the Government’s overarching interest--through the proposed research and on-site research experiences--in creating and training a workforce in quantum science and technology, generating pathways of solutions that feed technology development, establishing partnerships, and creating transition opportunities. In further support of training through research, Section A.1.4 calls for Quantum Computing Research (QuaCR) Graduate and Postdoctoral Fellowships for US citizens working in areas of interest. Substantial progress on solving the most difficult and long-term Quantum Information Science & Technology (QIST) research problems that unleash further rapid progress in the field will constitute LQC success. Examples of such research problems include (but are not limited to): limits of performance due to device design, material selection, and/or control, the exploration of alternative qubit physics (e.g., different approaches to qubit encoding or types of gates) and lowering of barriers to such approaches, advances in materials that improve qubit gate fidelity, reducing the overhead of classical components in quantum information technology and optimizing classical performance, and the exploration of applications of quantum technologies to new domains. Three categories of proposals are sought for this BAA: 1.Incubator opportunities seek partnership proposals from single investigators and small research groups, including teaching colleges, who may have unique skillsets to contribute toward the pursuit of the research thrusts presented in A.1.1. Incubator proposals may also be the development of concepts into a detailed technical research approach to advance solution of problems of high interest to quantum information science research. Incubator proposals would avail themselves of the collaboration opportunities with LPS research staff and infrastructure made available at the Laboratory for Physical Sciences (LPS) to lay the groundwork for concepts that may be suitable for a Collaboratory proposal or responses to other DoD quantum information science research opportunities. 2.Collaboratory proposals seek research proposals that bring together a strong significant collaboration--researchers from academia, industry, FFRDCs, and/or Government Laboratories--to pursue long-term projects focused on fundamental problems of interest to qubit development and/or associated science and technology. These collaborative groups will propose to work together in a focused manner for a period of time expected to be one to three years in order to demonstrate a proof-of-concept experiment and/or theory exploration to determine the feasibility of their creative idea. 3.QuaCR Research Fellowship proposals seek to support talented U.S. citizen graduate students and postdoctoral researchers in the field of quantum information processing (primary interest) and quantum sensing (secondary interest). Applicants with a background from either within or outside QIS are encouraged. The proposed research areas are described in this BAA and must enhance active Quantum Information Science research efforts being supported by the Army Research Office and/or LPS. Research fellows are encouraged to complete an LPS Internship during their graduate career or visit during their postdoctoral fellowship. Funding Opportunity Title: LPS Qubit Collaboratory Special Research Topics Announcement: W911NF21S0009-SPECIALNOTICE-1 The U.S. Army Combat Capabilities Development Command (DEVCOM), Army Research Laboratory (ARL)-Army Research Office (ARO) is looking for proposed research and development solutions under the Broad Agency Announcement (BAA) W911NF21S0009-2 for Basic and Applied Scientific Research in Quantum Computing. The title for this Special Notice is “LPS Qubit Collaboratory Special Topics.” Upon receipt, compliant proposals will be reviewed through a technical and programmatic process in accordance with the evaluation criteria referenced in the W911NF21S0009-2 LQC BAA to determine which proposal may be awarded Grant, Cooperative Agreement, or Procurement Contract under this topic.

The Biosensing program is part of the Engineering Biology and Health cluster, which also includes 1) the Biophotonics program; 2) the Cellular and Biochemical Engineering program; 3) the Disability and Rehabilitation Engineering program; and 4) the Engineering of Biomedical Systems program. The Biosensing program supports fundamental engineering research in the monitoring, identification and/or quantification of biological analytes and phenomena using innovations that exist at the intersection of engineering, life sciences, and information technology. Projects submitted to the program must advance both engineering and life sciences. The Biosensing program encourages proposals that, in addition to advancing biosensing technology, address critical sensor needs in biomedical research, public health, food safety, agriculture, forensics, environmental protection, and homeland security. Proposals are especially encouraged in areas of critical need: sensing technologies that can enable monitoring and surveillance of the environment and/or individuals for novel infectious agents; platform technologies that can readily be modified as soon as new agents are detected, sequenced, and/or otherwise characterized to enable rapid deployment of sensors in clinics and the environment; and adaptive and/or multiplex sensing technologies that can help the nation prevent the spread of the next global pandemic. Major areas of interest for the program include: Novel signal transduction principles and mechanisms that enable sensitive and specific biosensors, suitable for measurements in multiple areas; Design of novel biorecognition elements and appropriately designed transducing systems to enable adaptable and/or reconfigurable operating parameters in response to environmental changes or application needs at levels of device, system, or data analysis; Development of adaptive and/or evolvable biosensing systems for detection of novel target analytes or analytes under novel conditions; Novel synthetic biology approaches for the development of cell-free and cell-based biosensors; and Combining biosensors with artificial intelligence (AI) methods to improve sensor specificity and response time. Innovative ideas outside of the above specific interest areas may be considered. However, prior to submission, it is recommended that the PI contact the program director to avoid the possibility of the proposal being returned without review. The Biosensors program does not encourage proposals addressing circuit design for signal processing and amplification, computational modeling, and microfluidics for sample separation and filtration. Medical imaging-based measurements are outside of the scope of the program interests. Proposals that rely heavily on descriptive approaches are given lower priority. Proposals for optimizing and/or utilizing established methods for specific applications should be directed to programs focused on the application of sensor technology. NOTE: Projects related to water and/or soil quality may be jointly supported with the Environmental Engineering program (CBET 1440). Photonic devices with medical imaging and/or optogenetics should be submitted to the Biophotonics program (CBET 7236). Applications of devices for tissue engineering or organ-on-chip systems should be submitted to the Engineering of Biomedical Systems program (CBET 5345). Basic chemical/biochemical sensing mechanisms should be submitted to the Chemical Measurement and Imaging program (CMI 6880) in the Division of Chemistry. Proposals for dynamic biosensing systems, including circuit design for signal/data processing and amplification, and sensing systems through communication and machine learning should be submitted to the Communications, Circuits, and Sensing-Systems program (CCSS 7564) in the Division of Electrical, Communications, and Cyber Systems. INFORMATION COMMON TO MOST CBET PROGRAMS Proposals should address the novelty and/or potentially transformative nature of the proposed work compared to previous work in the field.Also, it is important to address why the proposed work is important in terms of engineering science, as well as to also project the potential impact on society and/or industry of success in the research.The novelty or potentially transformative nature of the research should be included, as a minimum, in the Project Summary of each proposal. The duration of unsolicited proposal awards in CBET is generally up to three years. Single-investigator award budgets typically include support for one graduate student (or equivalent) and up to one month of PI time per year(awards for multiple investigator projects are typically larger). Proposal budgets that are much larger than typical should be discussed with the program director prior to submission. Proposers can view budget amounts and other information from recent awards made by this program via the ?What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)? link towards the bottom of this page. Faculty Early Career Development(CAREER)program proposals are strongly encouraged.Award duration is five years.The submission deadline for Engineering CAREER proposals is in July every year. Learn more in the CAREER program description . Proposals for Conferences, Workshops, and Supplements: PIs are strongly encouraged to discuss their requests with the program director before submission of the proposal. Grants forRapid Response Research(RAPID)andEArly-concept Grants for Exploratory Research(EAGER)are also considered when appropriate. Please note that proposals of these types must be discussed with the program director before submission. Grant Opportunities for Academic Liaison with Industry (GOALI)proposals that integrate fundamental research with translational results and are consistent with the application areas of interest to each program are also encouraged. Please note that RAPID, EAGER, and GOALI proposals can be submitted anytime during the year. Details about RAPID, EAGER, and GOALI are available in the Proposal & Award Policies & Procedures Guide(PAPPG), Part 1, Chapter II, Section E: Types of Proposals. Compliance: Proposals that are not compliant with the Proposal & Award Policies & Procedures Guide (PAPPG) will be returned without review.

Many of the most pressing challenges in research and innovation require collaboration across national and disciplinary boundaries to achieve important advances. A growing number of topics are best addressed on a multilateral basis, building partnerships that leverage diverse expertise, data, infrastructure, and perspectives to advance understanding on critical topics of regional or global importance. At the same time, funders, research organizations, and researchers alike typically have limited experience with multilateral partnerships. The Office of International Science and Engineering’s MultiPLEx program seeks to support visionary, and ambitious international multilateral research partnerships that are required to hasten progress in addressing grand challenges by leveraging research excellence in the U.S. and around the globe. The program also seeks to advance understanding of effective multilateral collaboration. MultiPLEx welcomes proposals that Address urgent research and/or societal challenge of global importance (including but not limited to critical and emerging technology research) and require an inherently international multilateral approach to achieve impactful research results, partnering with at least two countries other than the U.S. Proposals that engage partners across distinct geographic regions are an area of interest. Make clear how the proposed international collaboration will enable research advances and broader impacts that go beyond what can be accomplished by a narrower team. Include a diverse group of U.S. institutions and/or individuals, leveraging the full range of talent that society has to offer MultiPLEx funds support the U.S. research team. Research partners should seek funding from their own national funding agencies or from other sources. A typical MultiPLEx award will be up to three years in duration. The MultiPLEX program is not intended to replace existing OISE or directorate programs. Proposals submitted to MultiPLEX must fall outside the scope of existing OISE or directorate programs. Any proposal submitted to MultiPLEx that is not responsive to this Program Description may be transferred to another OISE program or returned without review. OISE may periodically issue a Dear Colleague Letter inviting MultiPLEx proposals in specific priority areas. PIs interested in submitting proposals that do not respond to a DCL are strongly encouraged to consult a MultiPLEx program director prior to submission to confirm appropriateness. Unless specified in a DCL, MultiPLEx proposals may be submitted any time.

Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting. The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, proposals submitted to the CDS&E meta-program must have a significant component of computational or data science that goes well beyond what would typically be included in these programs.Any proposal submitted to the CDS&E program that is not responsive to this Program Description may be transferred to or reviewed within the context of an individual program. A proposal requesting consideration within the context of CDS&E should begin the title with the identifying acronym "CDS&E:". Supplement requests to existing awards may also be considered. A CDS&E proposal should include substantive science, engineering, or computing research. Algorithm and pilot software development supporting science and engineering may also be appropriate, depending on the program. Proposers who seek to implement proven, existing methods into robust cyberinfrastructure are referred instead to the program on Cyberinfrastructure for Sustained Scientific Innovation (CSSI). A CDS&E proposal should be submitted to one of the "Related Programs" or Divisions by the associated submission window, deadline, or target date listed in the table below. In picking the most relevant program, PIs are advised to read program descriptions and solicitations carefully and consult with cognizant Program Officers before proposal preparation. Proposal submissions outside the receiving program's scientific scope may be transferred to a different program or returned without review. Due Dates Directorate Division and Program Submission Window or Target Date ENG Division of Chemical, Bioengineering, Environmental, and Transport Systems September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter ENG Division of Civil, Mechanical and Manufacturing Innovation September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter MPS Division of Chemistry - Chemical Catalysis (CAT), Chemical Mechanism, Function, and Properties (CMFP), Chemical Synthesis (SYN) September 01, 2024 - September 30, 2024 September 01 - September 30, Annually Thereafter MPS Division of Materials Research October 15, 2024 October 15, Annually Thereafter MPS Division of Astronomical Sciences - Advanced Technologies and Instrumentation October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter MPS Division of Chemistry - Chemical Measurement and Imaging (CMI), Environmental Chemical Sciences (ECS), and Macromolecular, Supramolecular and Nanochemistry (MSN) October 01, 2024 - October 31, 2024 October 1 - October 31, Annually Thereafter MPS Division of Mathematical Sciences October 15, 2024 - October 31, 2024 October 15 - October 31, Annually Thereafter MPS Division of Astronomical Sciences - Astronomy and Astrophysics Research Grants October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter MPS Division of Physics: Investigator-Initiated Research Projects – Plasma Physics program November 20, 2024, Third Monday in November, Annually Thereafter MPS Division of Chemistry - Chemistry of Life Processes (CLP), Chemical Structure and Dynamics (CSD), Chemical Theory, Models and Computational Methods (CTMC) Full proposals accepted anytime

Infrastructure systems comprise complex connections between physical components, organizational structures and operational methods that support the needs of people and communities at the local, regional, national, and global scales. Such systems form the backbone of society, providing essential services as well as ensuring public health and welfare, economic prosperity and national security, and are expected to function under all operational conditions. Meanwhile, infrastructure systems are capital intensive and vulnerable to disruptions from extreme events, including natural disasters, social crises, and malicious attacks. Disruptions in one system can have cascading impacts on others in space and over time. Moreover, short- versus long-term trade-offs, unintended consequences, and maladaptation are not often accounted for. How systems function at the “extreme,” which can be due to disruptors from the introduction of innovation, the convergence of technologies, sudden changes to their utilization and access, dramatic changes in operating environments, and changes to demand during crises are of particular interest. To ensure the efficiency, sustainability, resilience, and fair use of infrastructure systems, it is important to continuously improve and optimize their design, operations, system monitoring and performance assessment in dynamic, uncertain and sometime unknown environments. While functioning at extremes is of interest, the program also supports infrastructure systems research under the full range of operating conditions, across a variety of hazards, and in urban, suburban, and rural communities. The program particularly encourages interdisciplinary and multidisciplinary exploration that will open new research frontiers and significantly expand and transform relevant research communities. The program welcomes research that addresses novel system integration, user-inspired system and service design, data analytics, and socio-technical studies focused on engineering and system innovation during normal and extreme conditions. The program also values innovative research efforts focused on collecting, standardizing, and sharing large-scale databases of real-world infrastructure systems and people-infrastructure interactions during normal and extreme operating conditions, which can be instrumental in providing benchmarks for model verification and validation and for advancing future research innovation in ISP. The ISP program supports research on lifeline systems and communities that contributes to the National Science Foundation’s role in the National Earthquake Hazards Reduction Program (NEHRP) and the National Windstorm Impact Reduction Program (NWIRP). Principal Investigators are encouraged to leverage NSF’s investments in the Natural Hazards Engineering Research Infrastructure (NHERI) experimental, computational modeling and simulation, and data resources (https://www.designsafe-ci.org/) in their research to accelerate advances needed for reducing the impacts of natural hazards on infrastructures and people. While physics-based subject-matter knowledge may be crucial in many research efforts, the program does not support research whose primary methodological contribution focuses on individual infrastructure components without a systems research perspective whose primary methodological focus is on geotechnical and structural engineering, material sciences, architectural engineering, wireless communication and sensor technology, human factors, and/or hydrologic or environmental engineering. Proposers are actively encouraged to email a one-page project summary to the ISP Program Officers before submitting a full proposal for guidance on whether the proposed research topic falls within the scope of the ISP program; this guidance should especially be requested for multi-disciplinary research proposals, and proposals for which research and/or development on the subject infrastructure(s) are also supported by other federal and/or state agencies.