Opportunity ID: 341998

General Information

Document Type: Grants Notice
Funding Opportunity Number: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 7
Posted Date: Jul 11, 2022
Last Updated Date: Dec 08, 2024
Original Closing Date for Applications: – Proposals accepted anytime
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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
. Dec 08, 2024
. Jul 11, 2022
. Jul 11, 2022
. Jul 11, 2022
. Jul 11, 2022
. Jul 11, 2022
Jul 11, 2022

DISPLAYING: Synopsis 7

General Information

Document Type: Grants Notice
Funding Opportunity Number: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 7
Posted Date: Jul 11, 2022
Last Updated Date: Dec 08, 2024
Original Closing Date for Applications: – Proposals accepted anytime
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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 6

General Information

Document Type: Grants Notice
Funding Opportunity Number: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 6
Posted Date: Jul 11, 2022
Last Updated Date: Feb 24, 2024
Original Closing Date for Applications:
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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 5

General Information

Document Type: Grants Notice
Funding Opportunity Number: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 5
Posted Date: Jul 11, 2022
Last Updated Date: May 19, 2023
Original Closing Date for Applications:
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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 4

General Information

Document Type: Grants Notice
Funding Opportunity Number: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 4
Posted Date: Jul 11, 2022
Last Updated Date: Jan 28, 2023
Original Closing Date for Applications:
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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 3

General Information

Document Type: Grants Notice
Funding Opportunity Number: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 3
Posted Date: Jul 11, 2022
Last Updated Date: Jan 28, 2023
Original Closing Date for Applications:
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 2
Posted Date: Jul 11, 2022
Last Updated Date: Jan 04, 2023
Original Closing Date for Applications:
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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: PD-22-8069
Funding Opportunity Title: Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
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: 20
Assistance Listings: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Jul 11, 2022
Last Updated Date: Jul 11, 2022
Original Closing Date for Applications:
Current Closing Date for Applications: – Proposals accepted anytime
Archive Date:
Estimated Total Program Funding: $5,000,000
Award Ceiling: $1,000,000
Award Floor: $20,000

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: The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.

Link to Additional Information: NSF Program Desccription PD-22-8069
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

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