• Basic Sciences (Physics, Chemistry, Mathematics)
• Biology and Biomedicine
• Information and Communication Technologies
• Ecology and Conservation Biology
• Climate Change
• Economics, Finance and Management
• Humanities
• Music and Opera

• Domain-specific software for analyzing, visualizing, and otherwise working with the specific data types that arise in biomedical science (e.g., genomic sequences, microscopy images, molecular structures). Software will be considered out of scope if it primarily serves domains outside biomedical science (e.g., physics, astronomy, earth sciences).
• Foundational tools and infrastructure that enable a wide variety of downstream software across several domains of science and computational research (e.g., numerical computation, data structures, workflows, reproducibility). While foundational tools will be considered in scope for this program, they must have demonstrated impact on some area(s) of biomedical research.

1. Complete CV, including name, email address, PhD program, and a list of all publications
2. Research Statement (specific for the internal review process) that briefly addresses: (1) Rationale for the disciplinary pivot from your graduate work, (2) Plan for pursuing postdoctoral study in a different field, and (3) How the Schmidt Fellowship fits your long-term plans; maximum 2 pages. 
3. Letter of Recommendation from your thesis advisor 

Interested applicants should send their materials as a single PDF. The letter of support may be included in the PDF or sent separately. All materials must be submitted to hils@fas.harvard.edu by August 17, 2020 at noon. 

Questions regarding the internal application process should be directed to hils@fas.harvard.edu. 

1. Nomination Letter (two-page limit): Written and signed by the nominator on letterhead, explaining the distinctive scientific contributions of the nominee, focusing on scientific accomplishments of the past five years and including discussion of a few important papers. Co-signed letters are acceptable within the page limit and nominator(s) need not be from Harvard.
2. Nominee's CV: The nominee's curriculum vitae, including Ph.D. year, institution, advisor, postdoctoral institutions and advisors, positions held subsequent to award of doctorate, a list of graduate students and postdoctoral fellows mentored by the nominee and the nominee's up-to-date publication list.

1. The Postdoctoral Fellowship in Chemical Sciences will allow chemists to pursue advanced research within the core areas of fundamental chemistry, such as chemical physics, chemical engineering, and chemistry of materials research. 
2. The Postdoctoral Fellowship in Chemical Instrumentation will allow researchers in chemistry to conceptualize, develop and build instrumentation suitable to advanced research in chemistry, chemical physics, chemical engineering, and chemistry of materials science. Instrumentation projects must be suitable for the two-year fellowship timeframe, be driven by a need in the chemical sciences listed above, be innovative in method, speed or process or represent a wholly new instrument for technical advancement in chemistry, and may potentially be used for future research in the broader scientific community.

• Psychological insights: mechanisms, development, context-dependence, individual differences, cultural variation, evolution
• Modeling of individual or group choice behavior: valuation, social preferences, impulsivity, strategy, network models
• Neurobiological mechanisms: human neuroscience, model organisms, behavioral neuroscience, genetic approaches, comparative approaches
• Clinical approaches: pharmacology, psychiatric disorders, neuropsychological conditions
• Development of interventions to improve individual and/or group decision-making outcomes
• Broad applications: artificial intelligence, courts/law, education, finance, health/medicine, government/public policy, intelligence, labor, technology

• Clinical innovation
• Injury prevention
• Basic science
• U.S. Military Priorities

• Applications from scholars, artists, and practitioners proposing innovative work that confronts pressing social and policy issues and seeking to engage audiences beyond academia.
• Proposals relevant to the Institute's focus areas, which include law, education, and justice; youth leadership and civic engagement; and legacies of slavery.
• Reflecting Radcliffe's unique history, each year some projects focus on women, gender, and society or draw on the Schlesinger Library's rich collections.

• explore the viability of early-stage research ideas in any discipline or multiple disciplines
• invite the perspectives of diverse participants and stakeholders to the discussion
• integrate senior and junior scholars from institutions in the greater Boston area, across the United States, or around the world
• demonstrate risk taking and creativity

• Research studies that develop artificial intelligence/machine learning methods, tools and/or apps to use patient data on, for example, infusions, bleeds, laboratory factors and lifestyle to assist clinicians in treatment selection
• a focus on emerging potential one-time treatments such as genetic medicine/gene transfer is strongly preferred
• Research studies that develop AI/ML methods and tools to increase the ability to predict disease risk; identify disease severity and progression due to morbidity from joint disease or recurrent bleeding; and/or improve disease management for persons with hemophilia (PWH) including optimizing treatment for patients with high bleeding risk (e.g., severe hemophilia)
• Research projects that develop AI/ML methods and tools to enhance patient engagement with the local hemophilia treatment center and maximize follow-up after potential one-time treatments such as gene therapy, including for patients living in remote or geographically distant areas
• Research projects that develop intelligent educational tools and platforms, leveraging AI/ML to deliver innovative educational and training programs for patients, caregivers, clinicians, healthcare providers, researchers, regulatory agencies and policy makers to increase knowledge sharing, awareness and advocacy for hemophilia
• a focus on emerging potential one-time treatments such as genetic medicine/gene transfer is strongly preferred
• Research studies that leverage AI/ML to enhance data surveillance and increase collaboration among data partners and the ability to collect PWH-related data in real time and to link useful real world data from diverse sources (e.g., claims, EHR, registry, patient-reported outcomes, patient-level channels such as wearable devices, mobile apps, sensors) to advance the understanding of hemophilia disease progression, treatment outcomes, factors influencing prognosis and quality of life, evidence on resource utilization, etc.
• Develop a recommendation system leveraging AI-NLP approach and published literature and scientific evidence to offer more personalized guidelines and algorithms to monitor adherence and outcomes

• Drug discovery: Research grants for proposals that have the potential to advance the field of drug discovery within Oncology and Autoimmune Diseases. Proposals will be considered that help to identify and characterize the next game-changing molecule or technology to help cure cancer or autoimmune disease, innovative research on molecular targets or pathophysiological pathways with untapped potential to be the next big therapeutic breakthrough, new breakthrough enabling technologies for drug discovery, and methods that improve translation from and predictivity of preclinical models to the clinical situation.
• Bioreactor design for cultured meat: Proposals will be considered that help to develop the next generation, scalable bioreactors that can support industrial scale meat and seafood manufacturing. 
• Next generation machine learning: Project proposals will be considered that seek to overcome current limitations in AI by a new generation of algorithms, inspired by today's neurosciences and by advances in brain research.
• Pandemic preparedness/fighting new emerging viral infectious disease: Project proposals will be considered that leverage modern technologies to create new breakthrough solutions to be more prepared for pandemic outbreaks or work towards existing solutions that could help to fight emerging viral infections.

• Data security in next generation data centers
• Data management and security in hybrid clouds
• Data center and enterprise networking
• Novel data systems, including NoSQL databases, big data systems, and data streaming systems
• IoT and real time analytics

• Eye injury or visual dysfunction as related to a military-relevant traumatic event. Examples of military-relevant trauma may include, but are not limited to:
• Blast, penetrating, blunt, thermal, or chemical trauma
• Trauma caused by directed energy weapons such as laser, high-power microwaves, and particle beams
• Diagnosis, stabilization, and treatment of eye injuries in austere environments and prolonged field care settings
• Restoration of visual function after trauma-related vision loss or severe visual impairment

• Investigator-Initiated Research Awards (IIRA) - Funding Level 1 supports exploratory, innovative, high-risk/high-reward research that is in the earliest stages of idea development. The anticipated direct costs budgeted for the entire period of performance for an FY20 VRP IIRA Funding Level 1 will not exceed $260,000 for a maximum project period of 2 years. Funding Level 2 supports the advancement of more mature research toward clinical translation. The anticipated direct costs budgeted for the entire period of performance for an FY20 VRP IIRA Funding Level 2 will not exceed $750,000 for a maximum project period of 3 years.
• Translational Research Awards (TRA) - Successful applications to the FY20 VRP TRA should establish a clear path to transform a discovery into new drugs, devices, or clinical practice guidelines that are ready for definitive testing in clinical trials. The anticipated direct costs budgeted for the entire period of performance for an FY20 VRP TRA will not exceed $1M. The maximum period of performance is 3 years.
• Focused Translational Team Science Award (FTTSA) - The FY20 VRP FTTSA is intended to support a highly collaborative and translational team initiative. Applications shall include at least three but no more than five distinct research projects that together form a concerted and synergistic effort to address the overarching challenge. The overall effort will be led by a Principal Investigator (PI) at or above the level of Associate Professor (or equivalent) and with demonstrated success in leading large collaborative research project(s). The overall lead PI is required to devote a minimum of 20% effort to this award. The anticipated direct costs budgeted for the entire period of performance for an FY20 VRP FTTSA will not exceed $5M. The maximum period of performance is 4 years.

1. System Design;
2. Experimental Performance Validation; and
3. Operational Architecture Definition. 

1. Advanced pointing, tracking, and stabilization approaches for mobile troposcatter communications antennas;
2. Robust uni- or bi- directional beyond line-of-sight communications using HF/VHF across a collocated and/or geographically distributed set of antennas;
3. Novel approaches and technologies for low probability of detect/intercept communications against advanced electronic threats;
4. Innovative techniques, layered for flexible and modular SW/HW implementation, to mitigate 5G standard/protocol exploits in tactical environment operations;
5. Dynamic scheduling, routing and control mechanisms in wireless networks to efficiently and reliably deliver traffic with varying level of service requirements (e.g., latency, loss rate, priority), while resilient to uncertainty in network state awareness and imperfect coordination amongst distributed controllers; and
6. Computationally efficient, low-overhead traffic engineering and load balancing in networked wireless communications links with wide (up to 4 orders of magnitude) throughput differences.

1. Technical Area 1 (TA1): Microbial Targeting. Develop and demonstrate innovative methods to screen and identify new threat-binding ligands against microbial targets.
2. Technical Area 2 (TA2): Host Machinery Engagement. Develop and demonstrate new strategies to engage cellular processes to degrade or deactivate targets.
3. Technical Area 3 (TA3): Platform Integration. Develop the tools to integrate threat and host binding ligands to rapidly construct, optimize, and deliver safe and effective countermeasures against new microbial threats.

• Applied Mathematics and Computational Science
• Networks and Artificial Intelligence
• Cognitive Neuroscience
• Fundamentals of Bioengineering
• Quantum Information Science
• Electronics, Photonics and Quantum Materials
• Engineered Materials and Structures
• Other Fields of Research

• Topic 1: Molecular Qubits for Synthetic Electronics
• Topic 2: A Brain-based Compositional Framework for Robust Computer Vision
• Topic 3: Littoral Ocean Dynamics off Rocky Coasts and Shorelines
• Topic 4: Fog and Turbulence
• Topic 5: Dynamic Tuning of Thermal Transport
• Topic 6: Chemically and Thermally Insensitive Super/Ultra-Hard Materials
• Topic 7: Narrative, Moral and Social Foundations of Social Cyber-Attack in Social Media
• Topic 8: A Dynamics and Control Theory of Safe, Cognitive and Learning Systems
• Topic 9: Understanding Turbulence-Chemistry Interactions in Non-Equilibrium, High-Speed Flows
• Topic 10: Predicting Organic Molecular Decomposition 

• Topic 11: Anomalous Dipole Textures in Engineered Ferroelectric Materials
• Topic 12: Cyber Autonomy through Robust Learning and Effective Human/Bot Teaming
• Topic 13: Highly Heterogeneous Meta-macrostructures Created via Fine-particle Interactions
• Topic 14: Non-Silica Inorganic Material Phases Synthesized from Genetically Modified Diatoms
• Topic 15: Novel Mechanisms of Neuro-Glio Bio-Computation and Reinforcement Learning
• Topic 16: Quantum Network Science
• Topic 17: The Same is Different: Integrating Multiple Phenomena in Single Materials
• Topic 18: Tunable Dilute Anion III-Nitride Nanostructures for Stable Photocatalysis

• Topic 19: Mechanisms of Novel Reactivity in Aqueous Microdroplets
• Topic 20: Topological Plasma Electromagnetics
• Topic 21: Interfacial Engineering of Superconductors
• Topic 22: Targeted Optical Stimulation of Individual Retinal Photoreceptors
• Topic 23: Quantum Random Access Memory
• Topic 24: Metasurface Edge Sensing, Processing and Computing
• Topic 25: Non-Hermitian Programmable Materials at Exceptional Points
• Topic 26: Mathematical Foundations for Enabling Robust Optimal Design of Hypersonic Systems

• Topic 27: Advanced Modeling of Evolutionary Cyber Eco-Systems with Autonomous Intelligence

• Identify the utility of deeper, more meaningful relationships with existing allies, partners, and establish new relationships with non-traditional partners as a mechanism to compete against key strategic competitors;
• Understand the implications of key strategic competitors' emerging capabilities on the United States' ability to maintain operational advantage and project power;
• Identify emerging WMD-related threats of concern for the future battlespace;
• Consider the role and application of WMD risk reduction tools and approaches (e.g. arms control) in an era of Great Power competition; and/or
• Explore the utility and applicability of applying a Counter Threat Network (CTN) approach to better characterize and address cross-domain threats posed by priority threat actors.

• Thrust Area 1: Competition with Revisionist Powers
• Thrust Area 2: Emerging Threats
• Thrust Area 3: Counter Threat Networks (CTN)
• Thrust Area 4: Strategic Security and Risk Reduction

• Thrust Area 5: Allies, partners, and non-traditional partners
• Thrust Area 6: Key strategic competitors

• Thrust Area 7: Competition with Revisionist Powers (with a focus on WMD-related issues)
  

• Developing high-throughput multiplex technologies to characterize virus-host interactions, determine phage resistance mechanisms in nature, identify the degree of specificity for each bacterial resistance mechanisms across diverse phage types, and understand the coevolution of hosts and their phages, which can ultimately be used to design better phage therapeutic treatments and tools for precision microbiome engineering;
• Improved modeling for understanding natural viral populations and persistence in the environment, as well as predictive modeling for viral stability and evolution in changing environmental conditions;
• Understanding virus-microbiome community composition, function, and evolution;
• Synthetic biology of key target viral proteins to rapidly develop improved vaccines or therapeutics; and
• Synthetic biology to construct viral genome variants and test viral stability, persistence, and resilience in the environment.

• High-Power Electric Propulsion Ground Testing and Modeling
• Extensible to In-Space Operation and Revolutionary Advancements in Multidisciplinary Modeling and Simulation of Entry Systems

• Earth Right Now - Your Planet is Changing, We're on It
• Humans in Space
• Moon to Mars
• Solar System and Beyond - We're Out There
• Aeronautics: NASA is With You When You Fly
• Technology Drives Exploration

Space Technology - Research, Development, Demonstration, and Infusion 2020 (SpaceTech-REDDI-2020): Lunar Surface Technology Research (LuSTR) Opportunities Appendix *

• Topic 1 - Advanced Technologies for the Extraction and Processing of Water from Regolith
• Topic 2 - Determining the Spatial Distribution and Geotechnical Properties of Water-Bearing Regolith
• Topic 3 - Flexible Power Distribution for Difficult-to-Reach and Mobile Applications
• Topic 4 - Advanced, Radiation-Tolerant Power Electronics
• Topic 5 - Low-Temperature Batteries
• Topic 6 - Advanced Power System Control for Interoperability

1. Review the current versions of the NASA Strategic Plan and documents from the specific directorate, office, or program for which the proposal is intended to determine if the work planned is sufficiently relevant to current goals to warrant a formal submission.
2. Potential proposers must review current opportunities to determine if any solicitation already exists to which the potential project could be proposed. 
3. Potential proposers should review current awards (e.g., by doing key word searches at Research.gov, or at the NASA Shared Services Center (NSSC) grant status page, and the NASA Life and Physical Sciences Task Book) to learn what, if any, related work is already funded by NASA. Such preparation reduces the risk of redundancy, improves implementation, and sometimes results in collaboration.

• 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.

• Enable investigators to apply earlier in their independent research careers, allowing them to secure grant funding that will launch and sustain successful research careers.
• Enhance investigators' ability to move into research areas that are distinct from those of their postdoctoral mentors, which could lead to new scientific discoveries.
• Increase the stability of funding for NIGMS-supported investigators, which could enhance their ability to take on ambitious scientific projects and approach problems more creatively.
• Increase flexibility for investigators to follow important new research directions as opportunities arise, rather than being bound to specific aims proposed in advance of the studies.
• More widely distribute funding among the nation's highly talented and promising investigators to increase overall scientific productivity and the chances for important breakthroughs.
• Reduce the time spent by researchers writing and reviewing grant applications, allowing them to spend more time conducting research.
• Enable investigators to devote more time and energy to mentoring trainees in a more stable research environment.

• Research that enables the development of technologies for mitigation, remediation, and/or treatment of PFAS in the environment;
• Research that elucidates the underlying limitations of PFAS transformation reactions that could lead to potentially transformative, feasible technologies for PFAS remediation; and
• Research that identifies biological, chemical, and/or physical reaction mechanisms for the treatment of fluorotelomer-based fluorosurfactants in AFFFs and other products.

 

• designing, synthesizing and characterizing new molecules, catalysts, surfaces, and nanostructures - especially those with a focus on sustainability;
• increasing our fundamental understanding of chemical specie, their structures, and their chemical transformations, kinetics, and thermodynamics;
• developing new tools and novel instrumentation for chemical discovery, including those in sensing, communication, and data discovery science where increasing volumes and varieties of data are harnessed to advance innovation;
• determining structure-function relationships in biological systems and contributing to our understanding of the fundamental rules of life;
• observing, manipulating, and controlling the behavior of matter and energy in nanometer dimensions such as the quantum regime;
• understanding chemical processes in the environment;
• expanding chemical understanding through data sharing, mining, and repurposing; and expanding state-of-the-art data analytics tools in service of artificial intelligence and robotics for molecular and materials synthesis and characterization; 
• solving complex chemical problems by the development of new theories, computations, models, and tools, including the synergistic combination of multiple types of instruments.; and
• contributing to industries of the future as applied to the chemical sciences: quantum information systems, biotechnology, advanced manufacturing, artificial intelligence, and 5G.

• Chemical Catalysis (CAT); Chemical Structure, Dynamics and Mechanisms-A (CSDM-A); Chemical Structure, Dynamics and Mechanisms-B (CSDM-B); Chemical Theory, Models and Computational Methods (CTMC); and Chemical Synthesis (SYN): September 01, 2020 - September 30, 2020
• Chemical Measurement and Imaging (CMI); Chemistry of Life Processes (CLP); Environmental Chemical Sciences (ECS); and Macromolecular, Supramolecular and Nanochemistry (MSN): October 01, 2020 - November 02, 2020

 

• Encourage the nations' university-based research communities to pursue resilience-relevant research across the spectrum from fundamental to applied, in support of NEHRP and NWIRP;
• Enable agency staff (as well as the reviewing community) to better understand the range of research ideas and capabilities across the nation, across the fundamental to applied spectrum. Improved understanding will enable more effective policy design and coordination across agencies going forward;
• Convene all the awardees in a jointly designed annual PI meeting, that will (a) enable investigators to share research approaches and results; (b) ensure that findings are shared with Federal scientists and engineers with responsibility to improve resilience policies and standards; and (c) encourage discussion of potential new collaborations, including translational opportunities.