This monthly newsletter has been created to assist FAS researchers across all domains who are looking for funding opportunities related to "Big Data". In response to the need for new conceptual and computational approaches for big data processing and storage, as well as the need for educational opportunities in this area for up and coming researchers, sponsors like NSF, DOD, DOE, NIH and private foundations are offering a growing number of funding opportunities for Big Data research and training programs.

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Funding Opportunities for BIG DATA  
 
Social Science
 (Computer-) Science and Engineering
 
 
Biomedical Science
 
 
Education and Training
 

* Indicates a funding announcement that was updated or added to the newsletter this month.
 
  SOCIAL SCIENCE  
CIMAAnalytics
Chartered Institute of Management Accountants (CIMA) 
Analytics Research Grants
Sponsor Deadline: August 31, 2016 
OSP Deadline: August 24, 2016
Award Information: Grants are typically between 5,000 and 40,000 depending on the scope of the project and its outputs

Tools and approaches enabling effective analytics in the field of management accounting include statistical analysis, data mining, predictive modelling and multivariate testing which assist in control decisions tied to the management of cash, stock, pricing, employee resource allocation, as well as broader operational, marketing, financial and risk management decisions. CIMA invites applications from around the world for research projects that adopt methods and methodologies which are appropriate to address these issues and relevant research questions. The complexity and scope of this topic mean that all methodologies are potentially relevant, similarly there are no restrictions on the theoretical frameworks that might be fruitfully drawn upon.

CIMA welcomes proposals that address a number of questions in this area, including: 

'Big Data' needs will evolve as enterprises engage in more advanced analytics to tease out insights on emerging trends - how will this change management accountants' roles in those enterprises?

Additional information:
DOJCollectingDigEvidence
US Department of Justice (DOJ) 
National Institute of Justice (NIJ)
Developing Improved Means to Collect Digital Evidence
Sponsor Deadline: April 14, 2016 
OSP Deadline: April 7, 2016
Award Information: NIJ anticipates that up to a total of $1,500,000 may become available for several awards under this solicitation in FY 2016. From the total amount, NIJ anticipates that it will make one to three awards. Applicants should base their federal funding request and period of performance on the requirements of the research, and not necessarily on the funding anticipated being available in FY 2016.

The purpose of the NIJ Research, Evaluation, and Development Project Grants program is to encourage and support research, development, and evaluation to improve criminal justice policy and practice in the United States. With this solicitation, NIJ seeks proposals for funding to conduct research and technology development leading to the introduction into practice of new and innovative tools in several areas, including: 

* Processing large-scale computer networks for digital evidence in a forensically sound manner that preserves the probative value of the evidence that the computer network may contain.

Applicants are encouraged to consider the benefit of partnering with criminal justice agencies to provide a fuller understanding of these challenges and the operational context within which these tools would be employed. 

Additional information:
NSFCyberlearning
National Science Foundation (NSF) 
Directorate for Computer & Information Science & Engineering (CISE)
Cyberlearning and Future Learning Technologies
Sponsor Deadline for Letters of Intent (required): May 9, 2016 for Integration Projects (INT) 
Sponsor Deadline for Full INT Proposals: July 11, 2016  
OSP Deadline: 5 business days prior to submission
Award Information: INT awards are $2,500,000 over 4-5 years

The purpose of the Cyberlearning and Future Learning Technologies program is to integrate opportunities offered by emerging technologies with advances in what is known about how people learn to advance three interconnected thrusts: Innovation; Advancing understanding of how people learn in technology-rich learning environments; and Promoting broad use and transferability of new genres. Proposals are expected to address all three of the program's thrusts. 

Applications in the following area are encouraged:

What new technology and socio-technical models are needed so that the big data generated by scientists and engineers can be made available and accessible to learners at all levels in ways that will engage them and help them learn? Under what conditions do these approaches work and why? What can be learned about learning processes and influences on learning by examining the effects with and of these new technologies? 

Awards will be made in several research categories, each focusing on a different stage of research and development, including Integration (INT). The program will also continue to participate in NSF's Foundation-Wide programs: EAGER, RAPID, INSPIRE, and CAREER.

Additional information:
NSFINSPIRE
National Science Foundation (NSF) 
Dear Colleague Letter: Integrated NSF Support Promoting Interdisciplinary Research and Education (INSPIRE)
Sponsor Deadline for Full Applications: Applications may be submitted in FY16 anytime after October 15, 2015
OSP Deadline: 5 business days prior to submission
Award Information: Up to $1 million for up to 5 years

The Integrated NSF Support Promoting Interdisciplinary Research and Education (INSPIRE) pilot continues to support bold interdisciplinary projects in all NSF-supported areas of science, engineering, and education research in FY16. INSPIRE has no targeted themes and serves as a funding mechanism for proposals that are required both to be interdisciplinary and to exhibit potentially transformative research (IDR and PTR, respectively). Complementing existing NSF efforts, INSPIRE was created to handle proposals whose:
  • Scientific advances lie outside the scope of a single program or discipline, such that substantial funding support from more than one program or discipline is necessary.
  • Lines of research promise transformational advances.
  • Prospective discoveries reside at the interfaces of disciplinary boundaries that may not be recognized through traditional review or co-review.
Prospective PIs must receive approval to submit a proposal from at least two NSF Program Officers, in intellectually distinct programs, whose expertise is most germane to the proposal topics. Consultations with POs prior to submission are required in order to aid in determining the appropriateness of the work for consideration under the INSPIRE mechanism. Only after approval is provided by at least two NSF POs in distinctly different research areas may a proposal be submitted.

Additional information:
NSFORFFinanceInformatiics
National Science Foundation (NSF) 
Directorate for Computer and Information Science and Engineering (CISE) and
US Department of Treasury 
Office of Financial Research (OFR)
Dear Colleague Letter: OFR-NSF Partnership in Support of Research Collaborations in Finance Informatics
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission


The Directorate for Computer and Information Science and Engineering (CISE) of the National Science Foundation (NSF) and the Office of Financial Research (OFR) of the Department of Treasury share an interest in advancing basic and applied research centered on Computational and Information Processing Approaches to and Infrastructure in support of, Financial Research and Analysis and Management (CIFRAM). NSF and OFR have established a collaboration (hereafter referred to as CIFRAM) to identify and fund a small number of exploratory but potentially transformative CIFRAM research proposals. The collaboration enables OFR to support a broad range of financial research related to OFR's mission, including research on potential threats to financial stability. It also assists OFR with the goal of promoting and encouraging collaboration between the government, the private sector, and academic institutions interested in furthering financial research and analysis. The collaboration enables the NSF to nurture fundamental CISE research on a variety of topics including algorithms, informatics, knowledge representation, and data analytics needed to advance the current state of the art in financial research and analysis. Proposals that involve collaborations between Computer Scientists, Mathematicians, Statisticians, and experts in Financial Risk Analysis and Management are especially welcome.

Principal Investigators (PIs) interested in seeking research support through the program should submit 2-page white papers to sspengle@nsf.gov and OFR_Grants@ofr.treasury.gov (please use these addresses; the one listed in the DCL is out of date)If OFR and NSF agree that the research idea falls within the scope of CIFRAM, the PI will be invited to submit an EAGER proposal. 

Additional information:
S2
National Science Foundation (NSF) 
Directorates for Social, Behavioral, and Economic Sciences (SBE) and Computer and Information Science and Engineering (CISE)
Dear Colleague Letter: Research on Privacy in Today's Networked World
Sponsor Deadline: Program-dependent, contact program officer Dr. Heng Xu at hxu@nsf.gov
OSP Deadline: 5 business days prior to submission


The directorates for Social, Behavioral, and Economic Sciences (SBE) and Computer and Information Science and Engineering (CISE) invite investigators to submit proposals that address the need to develop new and deeper understandings of privacy in today's networked world. NSF's interest spans both disciplinary and interdisciplinary research in an array of SBE sciences. Proposals for workshops to explore novel and interdisciplinary SBE and SBE/CISE approaches to privacy are also welcome. This is not a special competition or new program. Proposals in response to this Dear Colleague Letter must meet the requirements and deadlines of the program to which they are submitted. Interested investigators are encouraged to contact Program Officer Dr. Heng Xu (hxu@nsf.gov) with up to a two-page statement explaining the core idea of their projects. Dr. Xu will assist investigators in identifying the most appropriate program(s) to which to submit their proposals.

Additional information:
T-APDiggingData
Trans-Atlantic Partnership
Digging into Data Challenge
Sponsor Deadline: June 29, 2016
OSP Deadline: June 22, 2016
Award Information: Up to USD 175,000 if one US institution; up to USD 200,000 if 2 or more US institutions are working together. This is inclusive of indirect costs. A total of up to USD 750,000 is anticipated to be awarded via the 3 participating US agencies. Each project will have a duration ranging between 24 and 36 months.

The T-AP Digging into Data Challenge is open to any project that addresses research questions in the humanities and/or social sciences by using techniques of large-scale digital data analysis and shows how these new techniques can lead to new theoretical insights. It is specifically aiming to advance multidisciplinary collaborative projects in digital scholarship that seek new perspectives and insights. Proposals may address any research question in the humanities and/or social sciences, utilising any data source to do so.

Applicants must apply as a transnational research project partnership. Each project must consist of at least three eligible research teams based in at least three of the participating T-AP Digging into Data countries (see guidelines for a full list of countries) and must include teams from both sides of the Atlantic.

US teams will be funded via one of the participating federal agencies: NEH, NSF or IMLS. Please note that each national/regional Funding Organisation has produced an RFP Addendum with information specific to its respective rules, requirements, funding mandates, policies, eligible costs and procedures. Please consult the appropriate Addenda prior to applying.

Additional information:
 (COMPUTER-) SCIENCE AND ENGINEERING
DARPABTO
Defense Advanced Research Projects Agency (DARPA)
Biological Technologies Office (BTO)
Biological Technologies
Sponsor Deadline for Abstracts (strongly recommended) and Full Proposals: Rolling through April 28, 2016
OSP Deadline: 5 business days prior to submission
Award Information: Awards will be commensurate with project needs and the availability of funds
 
The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals of interest to the Biological Technologies Office (BTO). Proposed research should investigate leading edge approaches that enable revolutionary advances in science, technologies, or systems at the intersection of biology with engineering and the physical and computer sciences. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of the art. BTO seeks unconventional approaches that are outside the mainstream, challenge assumptions, and have the potential to radically change established practice, lead to extraordinary outcomes, and create entirely new fields.

BTO is interested in receiving applications in the following area: Leveraging new computational techniques from computer science, big data, and biology to enable investigation and generation of knowledge from biological data at scale. 
 
Additional information:
DARPAI2O
Defense Advanced Research Projects Agency (DARPA)
Information Innovation Office (I20)
Information Innovation Office (I2O) Office-wide
Sponsor Deadline for Abstracts (strongly encouraged): Rolling through June 10, 2016
Sponsor Deadline for Full Proposals: Rolling through August 2, 2016
OSP Deadline: 5 business days prior to submission
Award Information: Awards will be commensurate with project needs and the availability of funds
 
I2O develops high-payoff information science and technology to provide a decisive information advantage for the U.S. and its allies. I2O invites research proposals in its thrust areas: 1) Empower the human within the information ecosystem; and 2) Guarantee trustworthy computing and information. I2O may also consider submissions outside these areas if the proposal involves the development of novel software-based capabilities having promise to provide decisive information advantage for the U.S. and its allies.

I2O seeks unconventional approaches that are outside the mainstream, challenge accepted assumptions, and have the potential to radically change established practice. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of the art. 
 
Additional information:
CS1
United States Department of Commerce (DOC)
National Institute of Standards and Technology (NIST)
Measurement Science and Engineering (MSE) Research Grant Program for the Information Technology Laboratory (ITL) 
Sponsor Deadline: Rolling (for consideration in FY16, applications must be submitted by June 13, 2016)
OSP Deadline: 5 business days prior to submission
Award Information: $10,000 - $500,000, with project periods of up to 5 years. In FY 2015, the ITL Grant Program funded 38 new awards totaling $6,980,364.
 
 
Additional information:
Fusion
United States Department of Defense (DOD)
Air Force Office of Scientific Research (AFOSR)
Broad Agency Announcement: Research Interests of the Air Force Office of Scientific Research - Science of Information, Computation and Fusion 
Sponsor Deadline: Rolling (current BAA is active until superseded)
OSP Deadline: 5 business days prior to submission 

AROcs
United States Department of Defense (DOD)
Army Research Office (ARO)
Broad Agency Announcement for Basic and Applied Scientific Research for Fiscal Years 2012 through 2017 - Computing Science 
Sponsor Deadline: Rolling (current BAA is active until March 31, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission 

Math
United States Department of Defense (DOD)
Army Research Office (ARO)
Broad Agency Announcement for Basic and Applied Scientific Research for Fiscal Years 2012 through 2017 - Mathematical Sciences 
Sponsor Deadline: Rolling (current BAA is active until March 31, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission 

Proposals are expected to be for cutting-edge innovative research that could produce discoveries that would have a significant impact on enabling new and improved Army operational capabilities and related technologies. One of ARO's priority research areas is mathematical science, with a particular emphasis on: Probability and Statistics (Statistical Theory and Techniques for Real Time Analysis of Data Stream, and Statistical Analysis of Very Large and Very Small Data Sets); Biomathematics (Multiscale Modeling/Inverse Problems); and Computational Mathematics. 
 
Additional information:  
CS5
United States Department of Defense (DOD)
U.S. Army Engineer Research and Development Center (ERDC)
Broad Agency Announcement - Geospatial Research Laboratory - Big Spatial Data
Sponsor Deadline: Rolling (current BAA is active until January 31, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission 
 
 
Additional information:
CS6
United States Department of Defense (DOD)
U.S. Army Engineer Research and Development Center (ERDC)
Broad Agency Announcement - Geospatial Research Laboratory - On Demand Complex Spatio-Temporal Information Delivery
Sponsor Deadline: Rolling (current BAA is active until January 31, 2017 or until superseded) 
OSP Deadline: 5 business days prior to submission
 
The GEOSPATIAL RESEARCH LABORATORY's (GRL) mission is to provide the Warfighter with a superior knowledge of the battlefield. GRL's Information Generation and Management Branch invites proposals related to on demand complex spatio-temporal information delivery. With extensive amounts of information available, some spatial, some temporal, some spatial-temporal, some neither, decision makers are surrounded by an unprecedented amount of data inputs when making decisions. When applied to the domain of Humanitarian Assistance/Disaster Relief, information feeds shift even more rapidly. The object of this program is to conduct research and development in the areas of foundational information pre-event, necessary information for decision making during and shortly after an event, and long-term information requirements. Of particular interest is the ability to exploit different decision making paradigms, the relationship of the actors, the physical, social, natural environments, and the event. Additional work to create new spatial-temporal statistics that enhance decision making of social phenomena can be explored. Research is needed in topic areas related to a) spatial-temporal statistics and b) information retrieval for near real-time to real-time decision making; and c) visualization of static and dynamic 3/4/Nth dimension information.

Additional Information:
DODNGAGeoInt
United States Department of Defense (DOD) 
National Geospatial Intelligence Agency (NGA)
National Geospatial-Intelligence Agency Academic Research Program
Sponsor Deadline for White Papers (strongly encouraged): Rolling through August 31, 2017 
Sponsor Deadline for Full Proposals: Rolling through September 30, 2017 
OSP Deadline: 5 business days prior to submission
Award Information: NGA University Research Initiatives (NURI) awards are expected to have a 24-month base period with a value of up to $300,000, with up to three one-year options valued at up to $150,000 per option year. NGA New Investigator Program (NIP) award grants are expected to have a 24-month base period valued up to $200,000, with up to one-year option valued at $100,000.

NGA welcomes all innovative ideas for path-breaking research that may advance the GEOINT mission. The NGA mission is to provide timely, relevant, and accurate geospatial intelligence (GEOINT) in support of national security objectives. GEOINT is the exploitation and analysis of imagery and geospatial information to describe, assess, and visually depict physical features and geographically referenced activities on the Earth. The NGA Academic Research Program (NARP) is focused on innovative, far-reaching basic and applied research in science, technology, engineering and mathematics having the potential to advance the GEOINT mission. The objective of the NARP is to support innovative, highpayoff research that provides the basis for revolutionary progress in areas of science and technology affecting the needs and mission of NGA. This research also supports the National System for Geospatial Intelligence (NSG), which is the combination of technology, systems and organizations that gather, produce, distribute and consume geospatial data and information. This research is aimed at advancing GEOINT capabilities by improving analytical methods, enhancing and expanding systems capabilities, and leveraging resources for common NSG goals. NGA welcomes innovative research ideas in a number of areas, one of which is massive data.

NGA offers several award mechanisms, including NGA University Research Initiatives (NURI) awards and NGA New Investigator Program (NIP) Grants. 

Additional Information:
NRLBAA
United States Department of Defense (DOD) 
Naval Research Laboratory (NRL)
NRL Broad Agency Announcement
Sponsor Deadline: Rolling 
OSP Deadline: 5 business days prior to submission (current BAA is active until superseded)

The Naval Research Laboratory (NRL) is the Navy's corporate laboratory. NRL conducts basic and applied research for the Navy in a variety of scientific and technical disciplines. The basic research program is driven by perceptions about future requirements of the Navy. NRL is organized into three research directorates and one center: Systems Directorate; Materials Science and Component Technology Directorate; Ocean and Atmospheric Science and Technology Directorate; and Naval Center for Space Technology.

NRL invites proposals which range from theoretical studies to proof-of-concept to include fabrication and delivery of a prototype. NRL is interested in receiving proposals for the research efforts described under this BAA, including the following which relate to Big Data: 
  • Information Management and Decision Architectures
  • Federated, Distributed Computing/Network Infrastructure 
  • Basic and Applied Research in High Temperature Plasmas
  • Airborne, Shipboard, and Overhead Data Acquisition and Analysis
Additional Information:
ONR
United States Department of Defense (DOD)
Office of Naval Research (ONR)
Broad Agency Announcement for Navy and Marine Corps Science and Technology - Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance 
Sponsor Deadline: Rolling (current BAA is active until September 30, 2016 or until superseded)
OSP Deadline: 5 business days prior to submission 

The Office of Naval Research (ONR) is interested in receiving proposals for Long-Range Science and Technology (S&T) Projects which offer potential for advancement and improvement of Navy and Marine Corps operations. ONR's Division of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance invests in areas of science and their applications such as data science, mathematical and computational science, computer and information sciences, quantum information sciences, cyber security, electronics, command and control and combat systems, communications, cyber operations, electronic warfare, sensing and surveillance, and precision timing and navigation. One of this Division's specific thrusts and focused research areas is: Mathematics, Computers and Information Sciences, which sponsors basic and applied research, and advanced technology development efforts in mathematics, computer and information sciences that address Navy and Department of Defense needs in computation, information processing, information operation, information assurance and cybersecurity, decision tools, and command and control with specific focus on enabling rapid, accurate decision making. Specific scientific and technical areas include: a) Applied and computational analysis; b) Command and control; c) Computational methods for decisionmaking; d) Cyber security and complex software systems; e) Machine learning, reasoning, and intelligence; f) Mathematical data science; g) Mathematical optimization and operations research; h) Quantum information sciences.
 
Additional information:  
DOEASCR
United States Department of Energy (DOE)
Office of Science
FY 2016 Continuation of Solicitation for the Office of Science Financial Assistance Program - Advanced Scientific Computing Research (ASCR) 
Sponsor Deadline: Rolling (current solicitation is active until September 30, 2016 or until superseded)
OSP Deadline: 5 business days prior to submission 

The Advanced Scientific Computing Research (ASCR) program's mission is to advance applied mathematics and computer science; deliver, in partnership with disciplinary science, the most advanced computational scientific applications; advance computing and networking capabilities; and develop, in partnership with the research community, including U.S. industry, future generations of computing hardware and tools for science. The strategy to accomplish this has two thrusts: developing and maintaining world-class computing and network facilities for science; and advancing research in applied mathematics, computer science and advanced networking.

The priority areas for ASCR include the following:
  1. Develop mathematical models, methods and algorithms to accurately describe and predict the behavior of complex systems involving processes that span vastly different time and/or length scales.
  2. Advance key areas of computer science that enable the design and development of extreme scale computing systems and their effective use in the path to scientific discoveries; and transform extreme scale data from experiments and simulations into scientific insight.
  3. Advance key areas of computational science and discovery that support the missions of the Office of Science through mutually beneficial partnerships.
  4. Develop and deliver forefront computational, networking and collaboration tools and facilities that enable scientists worldwide to work together to extend the frontiers of science.
DOEBER
United States Department of Energy (DOE)
Office of Science
FY 2016 Continuation of Solicitation for the Office of Science Financial Assistance Program - Biological and Environmental Research (BER)  
Sponsor Deadline: Rolling (current solicitation is active until September 30, 2016 or until superseded)
OSP Deadline: 5 business days prior to submission 

IARPAOAS
Intelligence Advanced Research Projects Activity (IARPA) 
Office for Anticipating Surprise (OAS)
Office-Wide Broad Agency Announcement (BAA) 
Sponsor Deadline: Rolling (current solicitation is active until May 10, 2016 or until superseded)
OSP Deadline: 5 business days prior to submission 
Award Information: Budgets should be commensurate with the scope of the project. Periods of performance generally will not exceed 12 months.

MicrosoftDataScience
Microsoft Research
Data Science Award  
Sponsor Deadline: April 15, 2016; June 15, 2016; August 15, 2016
OSP Deadline: 5 business days prior to submission 
Award Information: Winning proposals will be awarded allocations of Microsoft Azure storage and compute resources for a period of one year

NSFABI
National Science Foundation (NSF) 
Directorate for Biological Sciences (BIO)
Advances in Biological Informatics (ABI)
Sponsor Deadline: September 9, 2016
OSP Deadline: September 2, 2016
Award Information: Approximately $12-15 million is available for 20-30 new awards depending on prior commitments and availability of funds
 
The Advances in Biological Informatics (ABI) program seeks to encourage new approaches to the analysis and dissemination of biological knowledge for the benefit of both the scientific community and the broader public. The ABI program is especially interested in the development of informatics tools and resources that have the potential to advance- or transform- research in biology supported by the Directorate for Biological Sciences at the National Science Foundation.  

The ABI program accepts three major types of proposals: Innovation awards that seek to pioneer new approaches to the application of informatics to biological problems, Development awards that seek to provide robust cyberinfrastructure that will enable transformative biological research, and Sustaining awards that seek to support ongoing operations and maintenance of existing cyberinfrastructure that is critical for continued advancement of priority biological research.      

Additional information
:
CS7
National Science Foundation (NSF) 
Directorate for Geosciences (GEO)
Climate and Large-Scale Dynamics (CLD)
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission
 
The goals of the Program are to: (i) advance knowledge about the processes that force and regulate the atmosphere's synoptic and planetary circulation, weather and climate, and (ii) sustain the pool of human resources required for excellence in synoptic and global atmospheric dynamics and climate research. Research topics include theoretical, observational and modeling studies of the general circulation of the stratosphere and troposphere; synoptic scale weather phenomena; processes that govern climate; the causes of climate variability and change; methods to predict climate variations; extended weather and climate predictability; development and testing of parameterization of physical processes; numerical methods for use in large-scale weather and climate models; the assembly and analysis of instrumental and/or modeled weather and climate data; data assimilation studies; development and use of climate models to diagnose and simulate climate and its variations and change.


Additional information
:
NSFCPS
National Science Foundation (NSF) 
Directorate for Computer & Information Science & Engineering (CISE)
Cyber-Physical Systems (CPS)
Sponsor Submission Window: May 24-June 7, 2016
OSP Deadline: 5 business days prior to submission
Award Information: Funding for Breakthrough projects may be requested for a total of up to $500,000 for a period of up to 3 years. Funding for Synergy projects may be requested for a total of $500,001 to $1,000,000 for a period of 3 to 4 years. Funding for Frontier projects may be requested for a total of $1,000,001 to $7,000,000 for a period of 4 to 5 years.
 
The goal of the CPS program is to develop the core system science needed to engineer complex cyber-physical systems that people can use or interact with and depend upon. Some of these may require high-confidence or provable behaviors. The program aims to foster a research community committed to advancing research and education in CPS and to transitioning CPS science and technology into engineering practice. By abstracting from the particulars of specific systems and application domains, the CPS program seeks to reveal cross-cutting fundamental scientific and engineering principles that underpin the integration of cyber and physical elements across all application sectors. To expedite and accelerate the realization of cyber-physical systems in a wide range of applications, the CPS program also supports the development of methods, tools, and hardware and software components based upon these cross-cutting principles, along with validation of the principles via prototypes and testbeds. 

In 2016, NSF is working closely with multiple agencies of the federal government, including the U.S. Department of Homeland Security (DHS); the U.S. Department of Transportation (DOT); the National Aeronautics and Space Administration (NASA); several National Institutes of Health (NIH) institutes and centers; and the U.S. Department of Agriculture-National Institute of Food and Agriculture (USDA-NIFA). Key goals are to identify basic CPS research directions that are common across multiple application domains, along with opportunities for accelerated transition to practice.

Three classes of research and education projects - differing in scope and goals - will be considered through this solicitation:
  • Breakthrough projects must offer a significant advance in fundamental CPS science, engineering and/or technology that has the potential to change the field. This category focuses on new approaches to bridge computing, communication, and control.
  • Synergy projects must demonstrate innovation at the intersection of multiple disciplines, to accomplish a clear goal that requires an integrated perspective spanning the disciplines.
  • Frontier projects must address clearly identified critical CPS challenges that cannot be achieved by a set of smaller projects. Funding may be requested for a total of $1,000,001 to $7,000,000 for a period of 4 to 5 years.
Additional information:
NSFDIBB
National Science Foundation (NSF) 
Directorate for Computer & Information Science & Engineering (CISE)
Data Infrastructure Building Blocks (DIBB)
Sponsor Deadline: April 4, 2016
OSP Deadline: March 28, 2016
Award Information: The award size for Early Implementation Awards is anticipated to be up to $4,000,000 total per award for up to 5 years. The award size for Pilot Demonstration Awards is anticipated to be up to $500,000 total per award for up to 3 years.
 
The DIBBs program encourages development of robust and shared data-centric cyberinfrastructure capabilities, to accelerate interdisciplinary and collaborative research in areas of inquiry stimulated by data. DIBBs investments enable new data-focused services, capabilities, and resources to advance scientific discoveries, collaborations, and innovations. The investments are expected to build upon, integrate with, and contribute to existing community cyberinfrastructure, serving as evaluative resources while developments in national-scale access, policy, interoperability and sustainability continue to evolve. Effective solutions will bring together cyberinfrastructure expertise and domain researchers, to ensure that the resulting cyberinfrastructure address researchers' data needs. The activities should address the data challenges arising in a disciplinary or cross-disciplinary context. The projects should stimulate data-driven scientific discoveries and innovations, and address broad community needs.

This solicitation includes two classes of science data pilot awards:
  1. Early Implementations are large "at scale" evaluations, building upon cyberinfrastructure capabilities of existing research communities or recognized community data collections, and extending those data-focused cyberinfrastructure capabilities to additional research communities and domains with broad community engagement.
  2. Pilot Demonstrations address advanced cyberinfrastructure challenges across emerging research communities, building upon recognized community data collections and disciplinary research interests, to address specific challenges in science and engineering research.
Additional information:
NSFExpeditions
National Science Foundation (NSF) 
Directorate for Computer & Information Science & Engineering (CISE)
Expeditions in Computing
Sponsor Deadline for Preliminary Proposals (required): May 2, 2016
Sponsor Deadline for Full Proposals: January 18, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Up to $2,000,000 per year for five years

The Directorate for Computer and Information Science and Engineering (CISE) has created the Expeditions in Computing (Expeditions) program to provide the CISE research and education community with the opportunity to pursue ambitious, fundamental research agendas that promise to define the future of computing and information.

In planning Expeditions projects, investigators are encouraged to come together within or across departments or institutions to combine their creative talents in the identification of compelling, transformative research agendas that promise disruptive innovations in computing and information for many years to come.

Additional information:
NSFMacrosysBio
National Science Foundation (NSF) 
Directorate for Biological Sciences (BIO)
MacroSystems Biology and Early NEON Science
Sponsor Deadline: October 17, 2016
OSP Deadline: October 10, 2016
Award Information: Early Career Awards (ECA) will be limited to a maximum of $300,000 over a two year duration. Full Research Awards (FRA) may be up to 5 years in duration. Early NEON Science Awards (ENSA) may be up to 5 years in duration. Budget and duration for each type of award should reflect the scope and complexity of the work proposed.

The MacroSystems Biology and Early NEON Science: Research on Biological Systems at Regional to Continental Scales program will support quantitative, interdisciplinary, systems-oriented research on biosphere processes and their complex interactions with climate, land use, and invasive species at regional to continental scales as well as planning, training, and development activities to enable groups to conduct MacroSystems Biology and Early NEON Science research.

Three categories of awards will be made:

Category 1: Early Career Awards (ECA). Awards to early career scientists employing innovative and creative approaches to advance understanding of regional to continental scale processes and cross-scale interactions.
Category 2: Full Research Awards (FRA). Awards to support Macrosystems Biology Research or Innovative Training to conduct MacroSystems research.
Category 3: Early NEON Science Awards (ENSA). Grants that do not otherwise fit into the macrosystems biology focus on regional to continental scale questions, but 1) use or leverage NEON data and/or NEON samples/specimens to address innovative ecological or other biological questions, and/or 2) develop analytic or computational tools that enhance the use and value of NEON data.

Proposals should include quantitative research approaches such as mathematical or computational models, numerical simulations, artificial intelligence techniques, statistics, visualization, or database development. Proposals are encouraged for the development and/or integration of macrosystems models (e.g., data-assimilation, biological, ecological, environmental) that connect local, regional, and continental scales. These models should address key problems linking ecological and evolutionary processes over a variety of spatial and temporal scales. Projects should develop theoretical foundations that will be useful for modeling based on either existing data and/or data to be collected by existing or planned environmental observatories. Mathematical models should include appropriate estimates of uncertainty, and experiments should assess power and precision.

Additional information:
NSFPRAC
National Science Foundation (NSF) 
Directorate for Computer & Information Science & Engineering (CISE)
Petascale Computing Resource Allocations (PRAC)
Sponsor Deadlines: April 4, 2016; November 9, 2016
OSP Deadlines: March 28, 2016; November 2, 2016
Award Information: Up to $40,000 for each award, with 12-15 awards expected. The maximum award duration is two years.
 
In 2013, a new NSF-funded petascale computing system, Blue Waters, was deployed at the University of Illinois at Urbana-Champaign. The goal of this project and system is to open up new possibilities in science and engineering by providing computational capability that makes it possible for investigators to tackle much larger and more complex research challenges across a wide spectrum of domains. The purpose of this solicitation is to invite research groups to submit requests for allocations of resources on the Blue Waters system. Proposers must show compelling science or engineering challenges that require petascale computing resources. Proposers must also be prepared to demonstrate that they have science or engineering research problems that require and can effectively exploit the petascale computing capabilities offered by Blue Waters. In particular, proposals are encouraged that broaden the areas of scientific research that are actively being conducted using Blue Waters - see https://bluewaters.ncsa.illinois.edu/science-teams for details.

Successful proposals will receive allocations to access Blue Waters to support the research that they have planned, along with limited travel funds to support technical coordination with the Blue Waters project team and with other research teams with allocations on Blue Waters. Note that this program does not provide funds for the research itself or for the development of models or analysis tools.

Proposals from or including junior researchers are encouraged, as one of the goals of this solicitation is to build a community capable of using petascale computing.
 
 Additional information:
NSFSI2
National Science Foundation (NSF)
Software Infrastructure for Sustained Innovation - SSE & SSI (SI2: SSE & SSI)
Sponsor Deadlines: April 26, 2016 for Scientific Software Elements (SSE) proposals; September 19, 2016 for Scientific Software Integration (SSI) proposals
OSP Deadlines: 5 business days prior to submission
Award Information: Up to $5,000,000 is expected to be available for approximately 10 SSE awards, and up to $12,500,000 is expected to be available for awards to roughly 12 SSI proposals, subject to availability of funds
 
The overarching goal of this program is to transform innovations in research and education into sustained software resources that are an integral part of the cyberinfrastructure. SI2 has been a long-term investment focused on catalyzing new thinking, paradigms, and practices in developing and using software to understand natural, human, and engineered systems. The intent of SI2 has been to foster a pervasive cyberinfrastructure to help researchers address problems of unprecedented scale, complexity, resolution, and accuracy by integrating computation, data, networking, observations and experiments in novel ways. NSF expects that its SI2 investment will result in trustworthy, robust, reliable, usable and sustainable software infrastructure. The goal of the SI2 program is to create a software ecosystem that includes all levels of the software stack and scales from individual or small groups of software innovators to large hubs of software excellence. SIenvisions vibrant partnerships among academia, government laboratories and industry, including international entities, for the development and stewardship of a sustainable software infrastructure that can enhance productivity and accelerate innovation in science and engineering. Furthermore, SI2 recognizes that integrated education activities will play a key role in sustaining the cyberinfrastructure over time and in developing a workforce capable of fully realizing its potential to transform science and engineering.

This solicitation invites applications for two classes of awards:
  1. Scientific Software Elements (SSE): SSE awards target small groups that will create and deploy robust software elements for which there is a demonstrated need; these software elements will in turn advance one or more significant areas of science and engineering.
  2. Scientific Software Integration (SSI): SSI awards target larger, interdisciplinary teams organized around the development and application of common software infrastructure aimed at solving common research problems faced by NSF researchers in one or more areas of science and engineering. SSI awards will result in a sustainable community software framework serving a diverse community or communities.
 Additional information:
CS9
Alfred P. Sloan Foundation
Digital Information Technology - Data and Computational Research
Sponsor Deadline: Rolling, requires Letter of Inquiry
OSP Deadline: 5 business days prior to submission
Award Information: Two types of applications, <$125,000 and >$125,000

From the natural sciences to the social sciences to the humanities to the arts, the availability of more data and cheaper computing is transforming research. As costs for sensors, sequencing, and other forms of data collection decline, researchers can generate data at greater and greater scale, relying on parallel increases in computational power to make sense of it all and allowing the investigation of phenomena too large or complex for conventional observation. Grants in the Data and Computational Research sub-program aim to help researchers develop tools, establish norms, and build the institutional and social infrastructure needed to take full advantage of important developments in data-driven, computation-intensive research. Emphasis is placed on projects that encourage access to and sharing of scholarly data, that promote the development of standards and taxonomies necessary for the interoperability of datasets, that enable the replication of computational research, and that investigate models of how researchers might deal with the increasingly central role played by data management and curation.

Grant requests can be made at any time. A brief letter of inquiry is the first step for an applicant.

Additional information:
BIOMEDICAL RESEARCH
USAMRMC
Department of Defense (DOD) 
United States Army Medical Research and Materiel Command (USAMRMC)
FY16 Broad Agency Announcement for Extramural Medical Research
Sponsor Deadline for Preliminary Proposals (required): Rolling through September 30, 2016 
Sponsor Deadline for Full Proposals (by invitation only): Rolling through September 30, 2016
OSP Deadline: 5 business days prior to submission
Award Information: No budget limits; award duration is up to 5 years

The USAMRMC mission is to provide solutions to medical problems of importance to the American Service member at home and abroad, as well as to the general public at large. Projects must be for scientific study and experimentation directed toward advancing the state of the art or increasing knowledge or understanding rather than focusing on a specific system or hardware solution. Research and development funded through this BAA are intended and expected to benefit and inform both military and civilian medical practice and knowledge. 

Under USAMRMC's Health Informatics and Health Information Technology Portfolio, one of its priority areas is Big Data/Analytics as they relate to Military Healthcare Services. USAMRMC is interested in the development and application of methods for analysis, interpretation, prediction, and modeling of health system and patient-generated data. The objective is to use mathematical and/or intelligent learning/machine learning tools to extract practical information, usable/actionable clinical knowledge, and/or predict disease or adverse events from health system and patient-generated data.
 
Additional information:
NIHNCIR21
Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to deadline 
Sponsor Deadlines for Full Proposals: June 14, 2016; November 21, 2016
OSP Deadline: 5 business days prior to submission
Award Information: Up to $275,000 in direct costs over a 2 year period

The purpose of this FOA is to invite exploratory/developmental research grant (R21) applications for the development of innovative methods and algorithms in biomedical computing, informatics, and data science addressing priority needs across the cancer research continuum, including cancer biology, cancer treatment and diagnosis, cancer prevention, cancer control and epidemiology, and/or cancer health disparities.  As a component of the NCI's Informatics Technology for Cancer Research (ITCR) Initiative, this FOA encourages applications focused on the development of novel computational, mathematical, and statistical algorithms and methods that can considerably improve acquisition, management, analysis, and dissemination of relevant data and/or knowledge. 
 
Additional information:
NIHECHOU24
Environmental Influences on Child Health Outcomes (ECHO) Data Analysis Center (U24)
Sponsor Deadline for Full Proposals: April 15, 2016
OSP Deadline: April 8, 2016
Award Information: Application budgets are limited to $3,000,000 in direct costs for Year 1, $6,250,000 in direct costs for Year 2, and $9,500,000 in direct costs for other project years. The project period may not exceed 7 years.

The purpose of this FOA is to support a Data Analysis Center (DAC) for the Environmental Influences on Child Health Outcomes (ECHO) program. The ECHO DAC will provide the data repository and the data analysis functions for all common ECHO activities.

NIH is establishing the new ECHO program to investigate the longitudinal impact of prenatal, perinatal, and postnatal environmental exposures on pediatric health outcomes with high public health impact. To do so, NIH will support multiple synergistic, prospective longitudinal studies using extant cohorts that represent variable environmental exposures (e.g., physical, chemical, biological, behavioral, social). These studies will collaborate on standardization and collection of core data elements to answer research questions of how environmental exposures impact one or more of four key pediatric outcomes. The program will be overseen by a Steering Committee of Investigators and an NIH Program Director, and an External Scientific Board. A separate, but related research effort, will support an IDeA States National Pediatric Clinical Research Network to help address access gaps for rural children by leveraging the infrastructure at existing IDeA state centers.
 
Additional information:
NIHInfectiousDisease
Modeling of Infectious Disease Agent Study Research Projects (R01)
Sponsor Deadlines: June 5, 2016; October 5, 2016; February 5, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years.

The purpose of this FOA is to support innovative research that will develop and apply computational tools and methods for modeling interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The models should be useful to researchers, policymakers, or public health workers who want to better understand and respond to infectious diseases. This research opportunity encourages applications from institutions/organizations that propose to provide the scientific and public health communities better resources, knowledge, and tools to improve their ability to prepare for, identify, detect, control, and prevent the spread of infectious diseases caused by naturally occurring or intentionally released pathogens, including those relevant to biodefense.

Areas of focus include conceptual development of models, particularly analytical and statistical tools for interpreting and using large data sets or model results.
 
Additional information:
NIHNIAU24
Genetics of Alzheimer's Disease Data Storage Site (U24)
Sponsor Deadline for Letters of Intent (requested): April 25, 2016 
Sponsor Deadline for Full Proposals: May 25, 2016
OSP Deadline: May 18, 2016
Award Information: Direct costs should not exceed $1,000,000 per year for up to 5 years. NIH intends to fund one award in FY 2016.

The National Institute on Aging (NIA) invites applications specific to infrastructure that will support storage and analysis of primary and secondary data for the genetics and genomics of Alzheimer's Disease. 

This FOA addresses NIA's vital need for a central database for the storage and exchange of AD genetics and related data. The NIA is committed to facilitating the collection and sharing of data related to research in the area of the genetics of AD. Applications considered for funding should effectively leverage the investments already made related to investigation of the root causes of the disease. The research resource should provide a large database of publicly available sequence and annotation data along with an integrated tool set for examining and comparing the genomes of affected and unaffected individuals, aligning sequence to genomes, and displaying and sharing users' own annotation data. Besides data storage and data processing, the database should provide effective mechanisms for data distribution.
 
Additional information:
NIHNIDAR01
The Application of Big Data Analytics to Drug Abuse Research (R01)
Sponsor Deadlines for Full Proposals: June 5, 2016; October 5, 2016; February 5, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. 

The purpose of this FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction. NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records. Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research. The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction.
 
Additional information:
NIHNIDCRR03
Small Research Grants for Data Analysis and Statistical Methodology Applied to Genome-wide Data (R03)
Sponsor Deadlines for Full Proposals: June 16, 2016; October 16, 2016; February 16, 2017
OSP Deadline: 5 business days prior to submission
Award Information: The combined budget for direct costs for the two year project period may not exceed $200,000

The purpose of this FOA is to provide support for meritorious research projects that involve statistical analysis of existing genome-wide data (e.g. genome-wide SNP genotyping; DNA sequencing; transcriptomic, metagenomic, epigenomic, or gene expression data) relevant to human dental, oral, or craniofacial conditions or traits. Development of statistical methodology appropriate for analyzing genome-wide data, relevant to human dental, oral, or craniofacial conditions or traits, may also be proposed.
 
Additional information:
NICHDP41
National Institutes of Health (NIH) 
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Resource Program Grants in Bioinformatics (P41)
Sponsor Deadline for Letters of Intent (requested): April 25, 2016
Sponsor Deadline for Full Applications: May 25, 2016
OSP Deadlines: May 20, 2016
Award Information: $500,000-$1,750,000 in direct costs per year for up to 5 years
 
This FOA announces the Resource Program Grants in Bioinformatics program supporting the continued operation, enhancement, and dissemination of databases or software tools that are unique, and of major importance to research using animal models of embryonic developmental processes. These grants will support ongoing research, maintenance, and enhancement, of the tool or resource, user training and services, provision of community generated data storage and archiving, and wide dissemination of the tool or resource. To qualify for support, bioinformatics resources software, algorithms, or knowledge resources must be of demonstrable value toward advancing research utilizing animal model systems in the biomedical sciences and must also be of particular importance to those seeking to understand the biological basis of human and animal development and the etiology of structural birth defects. The resources must be sufficiently mature to have verifiable support and utility for users within the developmental biology research community.

Applicants are strongly encouraged to consult with the Scientific/Research Contact for this program to ensure that the proposed project reflects the objectives of this FOA and the programmatic interests of the NICHD.  

Additional information:
NSFCogNeuro
National Science Foundation (NSF) 
Directorate for Social, Behavioral & Economic Sciences (SBE)
Cognitive Neuroscience (CogNeuro)
Sponsor Deadline: August 15, 2016
OSP Deadline: August 8, 2016
Award Information: Award size will be commensurate with the scope of the project 
 
Cognitive neuroscience is an interdisciplinary field of research dedicated to the understanding of the neural mechanisms underlying human cognition. As this field continues to grow, the National Science Foundation intends for cognitive neuroscience emphases to spur the development of highly novel theories, techniques and models directed toward enabling basic scientific understanding of a broad range of issues involving brain, cognition, and behavior. The emphasis at NSF is on the integration of cognitive, social and economic science in service of insights into healthy functions of brain, cognition, and behavior.  Additionally, NSF highly values the exploration of new methodologies, utilization of the latest analytic approaches, and the convergence of cutting edge techniques for addressing basic questions about human cognition.  

NSF is interested in supporting projects that address the growing amount of data collected across disparate lab environments, which may require new standardization, curation, and sharing solutions. Proposals which describe the application of computational techniques or models for addressing cognitive questions or issues of data analysis are especially welcomed.

Additional information:
DMSNIGMS
National Science Foundation (NSF) 
Directorate for Mathematical & Physical Sciences (MPS) and 
National Institutes of Health (NIH) 
National Institute of General Medical Sciences (NIGMS)
Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences (DMS/NIGMS) 
Sponsor Deadline: September 14, 2016
OSP Deadline: September 7, 2016
Award Information: Award sizes are expected to range from $100,000 to $400,000 (total costs) per year with durations of 3-5 years. Approximately $5,000,000 will be made available per year for new applications ($2,000,000 from NSF, $3,000,000 from NIGMS). 15 to 20 Awards from this competition may be made by either NSF or NIH at the option of the agencies, not the grantee.
 
The extraordinary growth of data-rich biology has created revolutionary opportunities for mathematically-driven advances in biological research. The Division of Mathematical Sciences in the Directorate for Mathematical and Physical Sciences at the National Science Foundation and the National Institute of General Medical Sciences at the National Institutes of Health plan to support research in mathematics and statistics on questions in the biological and biomedical sciences. Both agencies recognize the need and urgency for promoting research at the interface between the mathematical sciences and the life sciences. This program is designed to encourage new collaborations, as well as to support existing ones.

Additional information:
EDUCATION AND TRAINING 
AERAResearchGrants
American Educational Research Association (AERA) 
Research Grants
Sponsor Deadline: Fall 2016
OSP Deadline: 5 business days prior to submission
Award Information: Awards for Research Grants are up to $20,000 for 1-year projects, or up to $35,000 for 2-year projects
 
This program seeks to stimulate research on U.S. education issues using data from the large-scale, national and international data sets supported by the National Center for Education Statistics (NCES), NSF, and other federal agencies, and to increase the number of education researchers using these data sets. Applicants are encouraged to submit proposals that:
  • develop or benefit from new quantitative measures or methodological approaches for addressing education issues
  • include interdisciplinary teams with subject matter expertise, especially when studying science, technology, engineering and mathematics (STEM) learning
  • analyze TIMSS, PISA, or other international data resources
  • include the integration and analysis of more than one data set
Research projects related to at least one of the strands above and to science and/or mathematics education are especially encouraged. Other topics of interest include policies and practices related to student achievement in STEM, contextual factors in education, educational participation and persistence (kindergarten through graduate school), early childhood education, and postsecondary education.

Additional information:
NSFNCESResearchTraining
National Science Foundation (NSF) 
National Center for Science and Engineering Statistics (NCES)
Research on the Science and Technology Enterprise: Statistics and Surveys - R&D, U.S. S&T Competitiveness, STEM Education, S&T Workforce
Sponsor Deadline: January 17, 2017
OSP Deadline: January 10, 2017
Award Information: The anticipated funding amount is $750,000. Based on the quality of proposals and the availability of funds, NSF expects to make 7-12 awards.
 
The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States. It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and engineering enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports as well as analytical reports including the National Science Board's biennial report, Science and Engineering (S&E) Indicators, and Women, Minorities and Persons with Disabilities in Science and Engineering. The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys, and to engage in the education and training of researchers in the use of large-scale nationally representative datasets.  

NCSES welcomes efforts by the research community to use NCSES data for research on the science and technology enterprise, to develop improved survey methodologies for NCSES surveys, to create and improve indicators of S&T activities and resources, and strengthen methodologies to analyze and disseminate S&T statistical data. To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, workshops, experimental research, survey research and data collection and dissemination projects under its program for Research on the Science and Technology Enterprise: Statistics and Surveys.

Additional information:
Contact Us:
Questions about this announcement or proposal submission may be directed to Jennifer Corby
(jcorby@fas.harvard.edu, 617-495-1590) or Susan Gomes (sgomes@fas.harvard.edu 617-496-9448).

 

For Research Development Support (Finding Funding, Proposal Development Resources), go to research.fas.harvard.edu/research-development-support