This grant, from the National Institutes of Health (NIH) and National Science Foundation (NSF), supports advancing core techniques and technologies for Big Data Science and Engineering. Its purpose is to improve the management, analysis, and extraction of useful information from large, diverse datasets. This initiative aims to accelerate scientific discovery, foster innovation, and develop new analytic tools and scalable data infrastructure. The program will enable breakthrough discoveries across various fields, strengthening US competitiveness and addressing national data challenges by creating actionable insights for a data-intensive future.
Opportunity ID: 160653
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 12-499 |
| Funding Opportunity Title: | Core Techniques and Technologies for Advancing Big Data Science & Engineering |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 20 |
| Assistance Listings: | 47.041 — Engineering Grants |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Mar 30, 2012 |
| Last Updated Date: | May 31, 2012 |
| Original Closing Date for Applications: | Jun 13, 2012 Full Proposal Deadline(s): June 13, 2012 Mid-Scale Projects July 11, 2012 Small Projects |
| Current Closing Date for Applications: | Jul 11, 2012 Full Proposal Deadline(s): June 13, 2012 Mid-Scale Projects July 11, 2012 Small Projects |
| Archive Date: | Aug 11, 2012 |
| Estimated Total Program Funding: | $25,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | The Core Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA) solicitation aims to advance the core scientific and technological means of managing, analyzing, visualizing, and extracting useful information from large, diverse, distributed and heterogeneous data sets so as to: accelerate the progress of scientific discovery and innovation; lead to new fields of inquiry that would not otherwise be possible; encourage the development of new data analytic tools and algorithms; facilitate scalable, accessible, and sustainable data infrastructure; increase understanding of human and social processes and interactions; and promote economic growth and improved health and quality of life. The new knowledge, tools, practices, and infrastructures produced will enable breakthrough discoveries and innovation in science, engineering, medicine, commerce, education, and national security — laying the foundations for US competitiveness for many decades to come. The phrase "big data" in this solicitation refers to large, diverse, complex, longitudinal, and/or distributed data sets generated from instruments, sensors, Internet transactions, email, video, click streams, and/or all other digital sources available today and in the future.This solicitation is one component in a long-term strategy to address national big data challenges, which include advances in core techniques and technologies; big data infrastructure projects in various science, biomedical research, health and engineering communities; education and workforce development; and a comprehensive integrative program to support collaborations of multi-disciplinary teams and communities to make advances in the complex grand challenge science, biomedical research, and engineering problems of a computational- and data-intensive world. Today, US government agencies recognize that the scientific, biomedical and engineering research communities are undergoing a profound transformation with the use of large-scale, diverse, and high-resolution data sets that allow for data-intensive decision-making, including clinical decision making, at a level never before imagined. New statistical and mathematical algorithms, prediction techniques, and modeling methods, as well as multidisciplinary approaches to data collection, data analysis and new technologies for sharing data and information are enabling a paradigm shift in scientific and biomedical investigation. Advances in machine learning, data mining, and visualization are enabling new ways of extracting useful information in a timely fashion from massive data sets, which complement and extend existing methods of hypothesis testing and statistical inference. As a result, a number of agencies are developing big data strategies to align with their missions. This solicitation focuses on common interests in big data research across the National Institutes of Health (NIH) and the National Science Foundation (NSF). This initiative will build new capabilities to create actionable information that leads to timely and more informed decisions. It will both help to accelerate discovery and innovation, as well as support their transition into practice to benefit society. As the recent President’s Council of Advisors on Science and Technology (PCAST) 2010 review of the Networking Information Technology Research and Development (NITRD) [http://www.nitrd.gov/pcast-2010/report/nitrd-program/pcast-nitrd-report-2010.pdf] program notes, the pipeline of data to knowledge to action has tremendous potential in transforming all areas of national priority. This initiative will also lay the foundations for complementary big data activities — big data infrastructure projects, workforce development, and progress in addressing complex, multi-disciplinary grand challenge problems in science and engineering. |
| Link to Additional Information: | NSF Publication 12-499 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| May 31, 2012 | ||
| May 31, 2012 |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 12-499 |
| Funding Opportunity Title: | Core Techniques and Technologies for Advancing Big Data Science & Engineering |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 20 |
| Assistance Listings: | 47.041 — Engineering Grants |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Mar 30, 2012 |
| Last Updated Date: | May 31, 2012 |
| Original Closing Date for Applications: | Jun 13, 2012 Full Proposal Deadline(s): June 13, 2012 Mid-Scale Projects July 11, 2012 Small Projects |
| Current Closing Date for Applications: | Jul 11, 2012 Full Proposal Deadline(s): June 13, 2012 Mid-Scale Projects July 11, 2012 Small Projects |
| Archive Date: | Aug 11, 2012 |
| Estimated Total Program Funding: | $25,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | The Core Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA) solicitation aims to advance the core scientific and technological means of managing, analyzing, visualizing, and extracting useful information from large, diverse, distributed and heterogeneous data sets so as to: accelerate the progress of scientific discovery and innovation; lead to new fields of inquiry that would not otherwise be possible; encourage the development of new data analytic tools and algorithms; facilitate scalable, accessible, and sustainable data infrastructure; increase understanding of human and social processes and interactions; and promote economic growth and improved health and quality of life. The new knowledge, tools, practices, and infrastructures produced will enable breakthrough discoveries and innovation in science, engineering, medicine, commerce, education, and national security — laying the foundations for US competitiveness for many decades to come. The phrase "big data" in this solicitation refers to large, diverse, complex, longitudinal, and/or distributed data sets generated from instruments, sensors, Internet transactions, email, video, click streams, and/or all other digital sources available today and in the future.This solicitation is one component in a long-term strategy to address national big data challenges, which include advances in core techniques and technologies; big data infrastructure projects in various science, biomedical research, health and engineering communities; education and workforce development; and a comprehensive integrative program to support collaborations of multi-disciplinary teams and communities to make advances in the complex grand challenge science, biomedical research, and engineering problems of a computational- and data-intensive world. Today, US government agencies recognize that the scientific, biomedical and engineering research communities are undergoing a profound transformation with the use of large-scale, diverse, and high-resolution data sets that allow for data-intensive decision-making, including clinical decision making, at a level never before imagined. New statistical and mathematical algorithms, prediction techniques, and modeling methods, as well as multidisciplinary approaches to data collection, data analysis and new technologies for sharing data and information are enabling a paradigm shift in scientific and biomedical investigation. Advances in machine learning, data mining, and visualization are enabling new ways of extracting useful information in a timely fashion from massive data sets, which complement and extend existing methods of hypothesis testing and statistical inference. As a result, a number of agencies are developing big data strategies to align with their missions. This solicitation focuses on common interests in big data research across the National Institutes of Health (NIH) and the National Science Foundation (NSF). This initiative will build new capabilities to create actionable information that leads to timely and more informed decisions. It will both help to accelerate discovery and innovation, as well as support their transition into practice to benefit society. As the recent President’s Council of Advisors on Science and Technology (PCAST) 2010 review of the Networking Information Technology Research and Development (NITRD) [http://www.nitrd.gov/pcast-2010/report/nitrd-program/pcast-nitrd-report-2010.pdf] program notes, the pipeline of data to knowledge to action has tremendous potential in transforming all areas of national priority. This initiative will also lay the foundations for complementary big data activities — big data infrastructure projects, workforce development, and progress in addressing complex, multi-disciplinary grand challenge problems in science and engineering. |
| Link to Additional Information: | NSF Publication 12-499 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 12-499 |
| Funding Opportunity Title: | Core Techniques and Technologies for Advancing Big Data Science & Engineering |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 20 |
| Assistance Listings: | 47.041 — Engineering Grants |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | May 31, 2012 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Jun 13, 2012 Full Proposal Deadline(s): June 13, 2012 Mid-Scale Projects July 11, 2012 Small Projects |
| Archive Date: | Aug 11, 2012 |
| Estimated Total Program Funding: | $25,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | The Core Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA) solicitation aims to advance the core scientific and technological means of managing, analyzing, visualizing, and extracting useful information from large, diverse, distributed and heterogeneous data sets so as to: accelerate the progress of scientific discovery and innovation; lead to new fields of inquiry that would not otherwise be possible; encourage the development of new data analytic tools and algorithms; facilitate scalable, accessible, and sustainable data infrastructure; increase understanding of human and social processes and interactions; and promote economic growth and improved health and quality of life. The new knowledge, tools, practices, and infrastructures produced will enable breakthrough discoveries and innovation in science, engineering, medicine, commerce, education, and national security — laying the foundations for US competitiveness for many decades to come. The phrase "big data" in this solicitation refers to large, diverse, complex, longitudinal, and/or distributed data sets generated from instruments, sensors, Internet transactions, email, video, click streams, and/or all other digital sources available today and in the future.This solicitation is one component in a long-term strategy to address national big data challenges, which include advances in core techniques and technologies; big data infrastructure projects in various science, biomedical research, health and engineering communities; education and workforce development; and a comprehensive integrative program to support collaborations of multi-disciplinary teams and communities to make advances in the complex grand challenge science, biomedical research, and engineering problems of a computational- and data-intensive world. Today, US government agencies recognize that the scientific, biomedical and engineering research communities are undergoing a profound transformation with the use of large-scale, diverse, and high-resolution data sets that allow for data-intensive decision-making, including clinical decision making, at a level never before imagined. New statistical and mathematical algorithms, prediction techniques, and modeling methods, as well as multidisciplinary approaches to data collection, data analysis and new technologies for sharing data and information are enabling a paradigm shift in scientific and biomedical investigation. Advances in machine learning, data mining, and visualization are enabling new ways of extracting useful information in a timely fashion from massive data sets, which complement and extend existing methods of hypothesis testing and statistical inference. As a result, a number of agencies are developing big data strategies to align with their missions. This solicitation focuses on common interests in big data research across the National Institutes of Health (NIH) and the National Science Foundation (NSF). This initiative will build new capabilities to create actionable information that leads to timely and more informed decisions. It will both help to accelerate discovery and innovation, as well as support their transition into practice to benefit society. As the recent President’s Council of Advisors on Science and Technology (PCAST) 2010 review of the Networking Information Technology Research and Development (NITRD) [http://www.nitrd.gov/pcast-2010/report/nitrd-program/pcast-nitrd-report-2010.pdf] program notes, the pipeline of data to knowledge to action has tremendous potential in transforming all areas of national priority. This initiative will also lay the foundations for complementary big data activities — big data infrastructure projects, workforce development, and progress in addressing complex, multi-disciplinary grand challenge problems in science and engineering. |
| Link to Additional Information: | NSF Publication 12-499 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NSF grants.gov support grantsgovsupport@nsf.gov Email: grantsgovsupport@nsf.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 47.050 | PKG00122750 | Mar 30, 2012 | Jul 11, 2012 | View |
Package 1
Mandatory forms
160653 RR_SF424_1_2-1.2.pdf
160653 PerformanceSite_1_4-1.4.pdf
160653 RR_OtherProjectInfo_1_3-1.3.pdf
160653 RR_KeyPersonExpanded_1_2-1.2.pdf
160653 RR_PersonalData_1_2-1.2.pdf
160653 RR_Budget-1.1.pdf
160653 NSF_CoverPage_1_3-1.3.pdf
Optional forms
160653 RR_SubawardBudget-1.2.pdf
160653 NSF_DeviationAuthorization-1.1.pdf
160653 NSF_SuggestedReviewers-1.1.pdf
160653 NSF_Registration_1_3-1.3.pdf
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