OIP — The Opportunity Intelligence PlatformOIP / Government Intelligence
Preparing the stored Government Intelligence discovery view.
OIP / Government Intelligence / Opportunity detail
Source: Stored live-derived Government dataNational Science Foundation
OIP derived this review page from stored live-derived Government Intelligence source records. The official source and issuing agency remain authoritative.
Opportunity Intelligence Platform is an independent service and is not affiliated with or endorsed by the U.S. Government. Official notices, amendments, attachments, eligibility requirements, funding terms, and deadlines remain under source control.
OIP scores and explanations are informational and do not guarantee eligibility, suitability, compliance, contract award, or financial outcome.
No funding amount is disclosed in the stored source fields.
Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
3 warning(s) require review.
Objective score, derived by OIP
Publication decision: Publish with warning
Computational and Data-Enabled Science and Engineering -- a Grant (Grant) issued by National Science Foundation.
Objective Government score 67 for grants-gov-356055, computed from source evidence and Government scoring configuration.
potential_value (not_applicable): potential_value is structurally not applicable for this Government category.
9 evidence record(s) support this pipeline result.
Next action: Review the official Grants.gov opportunity and follow the listed application package instructions.
95/100 · Ok
evidence_quality scored from source evidence and Government scoring guidance (value kind deterministic_calculation, confidence rank 0).
90/100 · Ok
confidence scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
No numeric value · Not Applicable
potential_value is structurally not applicable for this Government category.
62/100 · Ok
urgency scored from source evidence and Government scoring guidance (value kind deterministic_calculation, confidence rank 0).
56/100 · Ok
difficulty scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
62/100 · Ok
time_required scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
48/100 · Ok
capital_required scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
52/100 · Ok
risk scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
68/100 · Ok
novelty scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
Computational and Data-Enabled Science and Engineering
$.detail.opportunityTitle · Field Mapping · 98/100 confidence
356055 / PD-24-8084
$.detail.id · Field Mapping · 99/100 confidence
National Science Foundation
$.detail.synopsis.agencyName · Field Mapping · 97/100 confidence
Grant
$.detail.synopsis.fundingInstruments · Field Mapping · 96/100 confidence
Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting. The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, proposals submitted to the CDS&E meta-program must have a significant component of computational or data science that goes well beyond what would typically be included in these programs.Any proposal submitted to the CDS&E program that is not responsive to this Program Description may be transferred to or reviewed within the context of an individual program. A proposal requesting consideration within the context of CDS&E should begin the title with the identifying acronym "CDS&E:". Supplement requests to existing awards may also be considered. A CDS&E proposal should include substantive science, engineering, or computing research. Algorithm and pilot software development supporting science and engineering may also be appropriate, depending on the program. Proposers who seek to implement proven, existing methods into robust cyberinfrastructure are referred instead to the program on Cyberinfrastructure for Sustained Scientific Innovation (CSSI). A CDS&E proposal should be submitted to one of the "Related Programs" or Divisions by the associated submission window, deadline, or target date listed in the table below. In picking the most relevant program, PIs are advised to read program descriptions and solicitations carefully and consult with cognizant Program Officers before proposal preparation. Proposal submissions outside the receiving program's scientific scope may be transferred to a different program or returned without review. Due Dates Directorate Division and Program Submission Window or Target Date ENG Division of Chemical, Bioengineering, Environmental, and Transport Systems September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter ENG Division of Civil, Mechanical and Manufacturing Innovation September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter MPS Division of Chemistry - Chemical Catalysis (CAT), Chemical Mechanism, Function, and Properties (CMFP), Chemical Synthesis (SYN) September 01, 2024 - September 30, 2024 September 01 - September 30, Annually Thereafter MPS Division of Materials Research October 15, 2024 October 15, Annually Thereafter MPS Division of Astronomical Sciences - Advanced Technologies and Instrumentation October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter MPS Division of Chemistry - Chemical Measurement and Imaging (CMI), Environmental Chemical Sciences (ECS), and Macromolecular, Supramolecular and Nanochemistry (MSN) October 01, 2024 - October 31, 2024 October 1 - October 31, Annually Thereafter MPS Division of Mathematical Sciences October 15, 2024 - October 31, 2024 October 15 - October 31, Annually Thereafter MPS Division of Astronomical Sciences - Astronomy and Astrophysics Research Grants October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter MPS Division of Physics: Investigator-Initiated Research Projects – Plasma Physics program November 20, 2024, Third Monday in November, Annually Thereafter MPS Division of Chemistry - Chemistry of Life Processes (CLP), Chemical Structure and Dynamics (CSD), Chemical Theory, Models and Computational Methods (CTMC) Full proposals accepted anytime
Official source materials control eligibility, deadlines, amendments, attachments, and funding terms.
Open official source$.detail.synopsis.synopsisDesc · Field Mapping · 94/100 confidence
2024-08-15T04:00:00.000Z
$.detail.synopsis.postingDate · Field Mapping · 96/100 confidence
Applicant types: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
$.detail.synopsis.applicantTypes · Field Mapping · 94/100 confidence
value_not_disclosed
$.detail.synopsis · Field Mapping · 84/100 confidence
2024-08-17T05:00:20.000Z
$.detail.synopsis.lastUpdatedDate · Field Mapping · 88/100 confidence