The National Science Foundation (NSF) and Department of Homeland Security (DHS) are offering this grant to support fundamental research in Data and Visual Analytics. This grant aims to enhance analytical reasoning and decision-making from massive, complex digital data via interactive visual interfaces. It seeks proposals enabling data stakeholders across science, engineering, and national security to discover insights and detect anomalies. Research outcomes should establish a solid scientific foundation for future visual analytics systems. Emphasis is on novel data transformations and integrating visualization, human-computer interaction, and cognitive psychology components, ensuring wide applicability across scientific, commercial, and governmental domains.
Opportunity ID: 45647
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | 09-525 |
Funding Opportunity Title: | Foundations of Data and Visual Analytics |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Grant |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | 5 |
Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 3 |
Posted Date: | Mar 03, 2009 |
Last Updated Date: | Sep 27, 2010 |
Original Closing Date for Applications: | Apr 02, 2009 Full Proposal Deadline(s): April 02, 2009 January 20, 2010 Third Wednesday in January, Annually Thereafter |
Current Closing Date for Applications: | – Archived |
Archive Date: | Sep 26, 2010 |
Estimated Total Program Funding: | $1,725,000 |
Award Ceiling: | $500,000 |
Award Floor: | $300,000 |
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: | Individuals working in areas as diverse as science, engineering, finance, medicine, and national security all face the challenge of synthesizing information and deriving insight from massive, dynamic, ambiguous and possibly conflicting digital data. The goal of collecting and examining these data sets is not to merely acquire information, but to derive increased understanding from them and to facilitate effective decision-making. To capitalize on the opportunities provided by these data sets, research in Data and Visual Analytics seeks to facilitate analytical reasoning through the use of interactive visual interfaces. To be successful, this research must extend beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more.With this solicitation, the National Science Foundation (NSF) and the Department of Homeland Security (DHS) invite research proposals whose outcomes will enable data stakeholders to detect the expected and discover the unexpected in massive data sets. Research outcomes will be applicable across broad application areas, establishing a solid scientific foundation for visual analytics systems of the future.Proposals should focus on creating fundamental research advances that will be widely applicable across scientific, engineering, commercial, and governmental domains that utilize visualization and analytics to gain insight and derive knowledge from massive, often streaming, dynamic, ambiguous and possibly conflicting, data sets. Research activities proposed should emphasize novel data transformations, while also demonstrating research relevance to visual analytics systems by including a research component in areas such as, but not limited to, visualization, human-computer interaction, and cognitive psychology. |
Link to Additional Information: | NSF Publication 09-525 |
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 |
---|---|---|
Archived | Sep 27, 2010 | |
Sep 27, 2010 | ||
Mar 08, 2010 |
DISPLAYING: Synopsis 3
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | 09-525 |
Funding Opportunity Title: | Foundations of Data and Visual Analytics |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Grant |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | 5 |
Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 3 |
Posted Date: | Mar 03, 2009 |
Last Updated Date: | Sep 27, 2010 |
Original Closing Date for Applications: | Apr 02, 2009 Full Proposal Deadline(s): April 02, 2009 January 20, 2010 Third Wednesday in January, Annually Thereafter |
Current Closing Date for Applications: | – Archived |
Archive Date: | Sep 26, 2010 |
Estimated Total Program Funding: | $1,725,000 |
Award Ceiling: | $500,000 |
Award Floor: | $300,000 |
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: | Individuals working in areas as diverse as science, engineering, finance, medicine, and national security all face the challenge of synthesizing information and deriving insight from massive, dynamic, ambiguous and possibly conflicting digital data. The goal of collecting and examining these data sets is not to merely acquire information, but to derive increased understanding from them and to facilitate effective decision-making. To capitalize on the opportunities provided by these data sets, research in Data and Visual Analytics seeks to facilitate analytical reasoning through the use of interactive visual interfaces. To be successful, this research must extend beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more.With this solicitation, the National Science Foundation (NSF) and the Department of Homeland Security (DHS) invite research proposals whose outcomes will enable data stakeholders to detect the expected and discover the unexpected in massive data sets. Research outcomes will be applicable across broad application areas, establishing a solid scientific foundation for visual analytics systems of the future.Proposals should focus on creating fundamental research advances that will be widely applicable across scientific, engineering, commercial, and governmental domains that utilize visualization and analytics to gain insight and derive knowledge from massive, often streaming, dynamic, ambiguous and possibly conflicting, data sets. Research activities proposed should emphasize novel data transformations, while also demonstrating research relevance to visual analytics systems by including a research component in areas such as, but not limited to, visualization, human-computer interaction, and cognitive psychology. |
Link to Additional Information: | NSF Publication 09-525 |
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 2
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | 09-525 |
Funding Opportunity Title: | Foundations of Data and Visual Analytics |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Grant |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | 5 |
Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 2 |
Posted Date: | Sep 27, 2010 |
Last Updated Date: | – |
Original Closing Date for Applications: | – |
Current Closing Date for Applications: | Jan 19, 2011 Full Proposal Deadline(s): January 19,2011 Third Wednesday in January, Annually Thereafter |
Archive Date: | – |
Estimated Total Program Funding: | $1,725,000 |
Award Ceiling: | $500,000 |
Award Floor: | $300,000 |
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: | Individuals working in areas as diverse as science, engineering, finance, medicine, and national security all face the challenge of synthesizing information and deriving insight from massive, dynamic, ambiguous and possibly conflicting digital data. The goal of collecting and examining these data sets is not to merely acquire information, but to derive increased understanding from them and to facilitate effective decision-making. To capitalize on the opportunities provided by these data sets, research in Data and Visual Analytics seeks to facilitate analytical reasoning through the use of interactive visual interfaces. To be successful, this research must extend beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more.With this solicitation, the National Science Foundation (NSF) and the Department of Homeland Security (DHS) invite research proposals whose outcomes will enable data stakeholders to detect the expected and discover the unexpected in massive data sets. Research outcomes will be applicable across broad application areas, establishing a solid scientific foundation for visual analytics systems of the future.Proposals should focus on creating fundamental research advances that will be widely applicable across scientific, engineering, commercial, and governmental domains that utilize visualization and analytics to gain insight and derive knowledge from massive, often streaming, dynamic, ambiguous and possibly conflicting, data sets. Research activities proposed should emphasize novel data transformations, while also demonstrating research relevance to visual analytics systems by including a research component in areas such as, but not limited to, visualization, human-computer interaction, and cognitive psychology. |
Link to Additional Information: | NSF Publication 09-525 |
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: | 09-525 |
Funding Opportunity Title: | Foundations of Data and Visual Analytics |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Grant |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | 5 |
Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 1 |
Posted Date: | Mar 08, 2010 |
Last Updated Date: | – |
Original Closing Date for Applications: | – |
Current Closing Date for Applications: | Apr 02, 2009 Full Proposal Deadline(s): April 02, 2009 January 20, 2010 Third Wednesday in January, Annually Thereafter |
Archive Date: | – |
Estimated Total Program Funding: | $1,725,000 |
Award Ceiling: | $500,000 |
Award Floor: | $300,000 |
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: | Individuals working in areas as diverse as science, engineering, finance, medicine, and national security all face the challenge of synthesizing information and deriving insight from massive, dynamic, ambiguous and possibly conflicting digital data. The goal of collecting and examining these data sets is not to merely acquire information, but to derive increased understanding from them and to facilitate effective decision-making. To capitalize on the opportunities provided by these data sets, research in Data and Visual Analytics seeks to facilitate analytical reasoning through the use of interactive visual interfaces. To be successful, this research must extend beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more.With this solicitation, the National Science Foundation (NSF) and the Department of Homeland Security (DHS) invite research proposals whose outcomes will enable data stakeholders to detect the expected and discover the unexpected in massive data sets. Research outcomes will be applicable across broad application areas, establishing a solid scientific foundation for visual analytics systems of the future.Proposals should focus on creating fundamental research advances that will be widely applicable across scientific, engineering, commercial, and governmental domains that utilize visualization and analytics to gain insight and derive knowledge from massive, often streaming, dynamic, ambiguous and possibly conflicting, data sets. Research activities proposed should emphasize novel data transformations, while also demonstrating research relevance to visual analytics systems by including a research component in areas such as, but not limited to, visualization, human-computer interaction, and cognitive psychology. |
Link to Additional Information: | NSF Publication 09-525 |
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
There are no packages on this grant.