Data / Research funding / CDS&E-MSS
NSF program CDS&E-MSS (806900): 115 awards, $27.9M to 68 organizations
115 NSF awards ($27.9M) under the program element CDS&E-MSS (806900) to 68 organizations, fiscal years 2022 to 2026, read 2026-11-03.
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- Program element code
- 806900
- Directorate
- Directorate for Mathematical and Physical Sciences
- Division
- Mathematical Science Section
Awards
115 awards in the window.
| Award | Agency | Institute or division | Fiscal year | Amount in window | Start | End | Principal investigator | Source |
|---|---|---|---|---|---|---|---|---|
| Collaborative Research: EnCORE: Institute for Emerging CORE Methods in Data Science | NSF | CSE - Core Programs | 2022 | $4,770,890 | September 1, 2022 | August 31, 2027 | Barna Saha | nsf.gov |
| Elements: High-performance simulation of time-dependent problems via domain-specific languages | NSF | Office of Advanced Cyberinfrastructure | 2024 | $599,816 | September 1, 2024 | August 31, 2027 | Robert C Kirby | nsf.gov |
| Extrapolative Analyses for Reliable Machine Learning Driven Scientific Discovery | NSF | Mathematical Science Section | 2023 | $594,633 | September 1, 2023 | August 31, 2027 | Junier B Oliva | nsf.gov |
| Leveraging Geometric Structure in Learning Dynamical Systems | NSF | Mathematical Science Section | 2025 | $519,851 | September 1, 2025 | August 31, 2028 | John Harlim | nsf.gov |
| Co-Design of Neural Operators and Stochastic Optimization Algorithms for Learning Surrogates for PDE-Constrained Optimization Under Uncertainty | NSF | Mathematical Science Section | 2023 | $499,792 | September 1, 2023 | August 31, 2027 | Vijaya Raghaven Bollapragada | nsf.gov |
| Neural Network Approximation of PDEs - Efficiency, Reliability and Quantifiable Accuracy | NSF | Mathematical Science Section | 2023 | $494,628 | October 1, 2023 | September 30, 2027 | Mark Ainsworth | nsf.gov |
| Representation Learning via Variational Mean Field Theory | NSF | Mathematical Science Section | 2024 | $457,499 | October 1, 2023 | March 31, 2026 | Rongjie Lai | nsf.gov |
| Collaborative Research: Elements: Scalable and Automated Learning of Active Dynamics (SALAD) | NSF | Office of Advanced Cyberinfrastructure | 2024 | $449,818 | September 1, 2024 | August 31, 2027 | Mengyang Gu | nsf.gov |
| Collaborative Research: Analysis of dense suspension properties and dynamics by network methods | NSF | Materials Research Section | 2024 | $412,497 | September 1, 2024 | August 31, 2027 | Jeffrey F Morris | nsf.gov |
| Collaborative Research: CDS&E: Data-Driven Discovery of Neural ODE Dynamics, Astrophysical Models, and Orbits (Neural ODE DynAMO) | NSF | Astronomical Science Section | 2024 | $376,729 | August 15, 2024 | July 31, 2027 | Brendan Keith | nsf.gov |
| Collaborative Research: Analysis of dense suspension properties and dynamics by network methods | NSF | Materials Research Section | 2024 | $369,850 | September 1, 2024 | August 31, 2027 | Lou Kondic | nsf.gov |
| CDS&E-MSS: Sparsely Activated Bayesian Neural Networks from Deep Gaussian Processes | NSF | Mathematical Science Section | 2023 | $360,000 | August 1, 2023 | July 31, 2026 | Rui Tuo | nsf.gov |
| Collaborative Research: Cost-Efficient and Confident Sampling for Modern Scientific Discovery | NSF | Mathematical Science Section | 2023 | $350,000 | September 1, 2023 | August 31, 2027 | Fred J Hickernell | nsf.gov |
| Collaborative Research: Breaking the 1D barrier in radiative transfer: Fast, low-memory numerical methods for enabling inverse problems and machine learning emulators | NSF | Mathematical Science Section | 2023 | $350,000 | September 1, 2023 | August 31, 2027 | Samuel N Stechmann | nsf.gov |
| CDS&E: Probabilistic modeling of fields and point clouds in cosmology | NSF | Astronomical Science Section | 2023 | $349,660 | August 15, 2023 | July 31, 2026 | Moritz Muenchmeyer | nsf.gov |
| Risk-Sensitive Statistical Learning: Methods, Algorithms, and Theories | NSF | Mathematical Science Section | 2024 | $337,985 | June 15, 2024 | May 31, 2027 | Xingyuan Fang | nsf.gov |
| Collaborative Research: Elements: A Cyberlaboratory for Randomized Numerical Linear Algebra | NSF | Office of Advanced Cyberinfrastructure | 2023 | $331,636 | July 1, 2023 | June 30, 2027 | Vivak Patel | nsf.gov |
| Collaborative Research: Bridging short and long time scales in global plate tectonics through solver adaptivity | NSF | GEO - Core Programs | 2024 | $330,000 | September 1, 2024 | August 31, 2027 | Michael C Gurnis | nsf.gov |
| Data-adaptive Random Tessellations for Complex Data Analysis | NSF | Mathematical Science Section | 2024 | $320,236 | October 1, 2024 | September 30, 2027 | Elizabeth O'Reilly | nsf.gov |
| Computational and Mathematical Studies of Compression and Distillation Methods for Deep Neural Networks and Applications | NSF | Division Of Mathematical Sciences | 2022 | $300,000 | September 1, 2022 | August 31, 2025 | Jack Xin | nsf.gov |
| Mathematically-Guaranteed Global Solutions to Structure-from-Motion | NSF | Mathematical Science Section | 2022 | $300,000 | August 1, 2022 | July 31, 2026 | Gilad Lerman | nsf.gov |
| Accelerating Bayesian Dimension Reduction for Dynamic Network Data with Many Observations | NSF | Division Of Mathematical Sciences | 2022 | $300,000 | July 1, 2022 | June 30, 2025 | Andrew Holbrook | nsf.gov |
| Projecting Flood Frequency Curves Under a Changing Climate Using Spatial Extreme Value Analysis | NSF | Division Of Mathematical Sciences | 2022 | $300,000 | June 1, 2022 | December 31, 2025 | Brian J Reich | nsf.gov |
| Collaborative Research: Towards the Foundation of Approximate Sampling-Based Exploration in Sequential Decision Making | NSF | Mathematical Science Section | 2023 | $300,000 | October 1, 2023 | September 30, 2026 | Pan Xu | nsf.gov |
| Collaborative Research: Towards the Foundation of Approximate Sampling-Based Exploration in Sequential Decision Making | NSF | Mathematical Science Section | 2023 | $300,000 | October 1, 2023 | September 30, 2027 | Quanquan Gu | nsf.gov |
| Collaborative Research: Causal Discovery and Individualized Policy Optimization for Human Text Data | NSF | Mathematical Science Section | 2024 | $300,000 | September 1, 2024 | August 31, 2027 | Hengrui Cai | nsf.gov |
| EAGER: ADAPT: Time-Domain Study of the Dynamics of Relativistic Jets | NSF | Division Of Mathematical Sciences | 2022 | $299,131 | September 15, 2022 | March 31, 2026 | Soumendra N Lahiri | nsf.gov |
| Collaborative Research: Scientific Computing Assisted Machine Learning for Wave Imaging | NSF | Mathematical Science Section | 2025 | $281,836 | September 1, 2025 | August 31, 2028 | Songting Luo | nsf.gov |
| Collaborative Research: Bridging short and long time scales in global plate tectonics through solver adaptivity | NSF | GEO - Core Programs | 2024 | $280,000 | September 1, 2024 | August 31, 2027 | Johann Rudi | nsf.gov |
| Energetic Variational Inference: Foundations, Algorithms, and Applications | NSF | Mathematical Science Section | 2024 | $267,816 | May 15, 2024 | June 30, 2026 | Lulu Kang | nsf.gov |
| CDS&E-MSS: Data thinning: methods, theory, and applications | NSF | Mathematical Science Section | 2023 | $250,000 | September 15, 2023 | August 31, 2027 | Daniela Witten | nsf.gov |
| CDS&E-MSS: Causal Induction in Sequential Decision Processes | NSF | Mathematical Science Section | 2023 | $249,999 | September 1, 2023 | August 31, 2027 | Qing Zhou | nsf.gov |
| Collaborative Research: CDS&E: Scalable Inference for Spatio-Temporal Markov Random Fields | NSF | Mathematical Science Section | 2022 | $249,998 | August 1, 2022 | July 31, 2026 | Salar Fattahi | nsf.gov |
| Adversarial Learning Methods for Modeling and Inverse Design of Soft Materials | NSF | Mathematical Science Section | 2023 | $249,943 | September 15, 2023 | August 31, 2027 | Paul J Atzberger | nsf.gov |
| Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data with Scalable Quantile Learning | NSF | Mathematical Science Section | 2024 | $248,742 | September 1, 2024 | August 31, 2027 | Lily Wang | nsf.gov |
| Collaborative Research: Elements: A Cyberlaboratory for Randomized Numerical Linear Algebra | NSF | Office of Advanced Cyberinfrastructure | 2023 | $240,000 | July 1, 2023 | May 31, 2027 | Daniel A Maldonado | nsf.gov |
| Physics Informed Forecast of High Resolution Spatio-Temporal Data with a Functional Spatial Regression Framework with PDE Smoothing | NSF | Mathematical Science Section | 2025 | $240,000 | August 1, 2025 | July 31, 2028 | Stefano Castruccio | nsf.gov |
| Modern Optimal Recovery: Enriched, Nonconvex, Dynamical | NSF | Mathematical Science Section | 2025 | $239,850 | August 15, 2025 | July 31, 2028 | Simon Foucart | nsf.gov |
| CDS&E-MSS: Topological Learning with Multiparameter Persistent Homology | NSF | Mathematical Science Section | 2023 | $220,000 | October 1, 2023 | September 30, 2026 | Peter G Bubenik | nsf.gov |
| Collaborative Research: Scientific Computing Assisted Machine Learning for Wave Imaging | NSF | Mathematical Science Section | 2025 | $220,000 | September 1, 2025 | August 31, 2028 | Youzuo Lin | nsf.gov |
| Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data with Scalable Quantile Learning | NSF | Mathematical Science Section | 2026 | $210,362 | August 1, 2026 | August 31, 2028 | Huixia J Wang | nsf.gov |
| Collaborative Research: Empirical Frequency Band Analysis for Functional Time Series | NSF | Mathematical Science Section | 2024 | $210,239 | November 1, 2023 | August 31, 2026 | Pramita Bagchi | nsf.gov |
| Collaborative Research: Learning to learn with rigor: foundations of amortized inference | NSF | Mathematical Science Section | 2025 | $210,000 | September 1, 2025 | August 31, 2028 | Vinayak Rao | nsf.gov |
| Scalable Models, Fast Computation and Predictability for Spatio-temporal Ordinal Data | NSF | Division Of Mathematical Sciences | 2022 | $209,999 | July 1, 2022 | August 31, 2025 | Robert J Erhardt | nsf.gov |
| Collaborative Research: Enabling Hybrid Methods in the NIMBLE Hierarchical Statistical Modeling Platform | NSF | Mathematical Science Section | 2022 | $200,000 | July 1, 2022 | June 30, 2026 | Perry de Valpine | nsf.gov |
| Collaborative Research: Algorithms for Learning Regularizations of Inverse Problems with High Data Heterogeneity | NSF | Mathematical Science Section | 2022 | $200,000 | April 15, 2022 | March 31, 2026 | Yunmei Chen | nsf.gov |
| Collaborative Research: Multiparameter Topological Data Analysis | NSF | Mathematical Science Section | 2023 | $200,000 | September 1, 2023 | August 31, 2027 | Tamal K Dey | nsf.gov |
| Collaborative Research: Graph Learning, Generation, and Optimization with Highly Expressive Graph Neural Network Models | NSF | Mathematical Science Section | 2024 | $200,000 | September 1, 2024 | August 31, 2028 | Yingnian Wu | nsf.gov |
| Collaborative Research: Graph Learning, Generation, and Optimization with Highly Expressive Graph Neural Network Models | NSF | Mathematical Science Section | 2024 | $200,000 | September 1, 2024 | August 31, 2028 | Maggie X Cheng | nsf.gov |
| Collaborative Research: Understanding Ablation Through Accurate Integration of Models and in Vivo Experimental Data | NSF | Mathematical Science Section | 2025 | $200,000 | September 15, 2025 | August 31, 2028 | Elizabeth M Cherry | nsf.gov |
| Collaborative Research: Differential Equations Motivated Multi-Agent Sequential Deep Learning: Algorithms, Theory, and Validation | NSF | Mathematical Science Section | 2022 | $199,999 | July 1, 2022 | June 30, 2026 | Andrea L Bertozzi | nsf.gov |
| Collaborative Research: A Unifying Deep Learning Framework Using Cell Complex Neural Networks | NSF | Mathematical Science Section | 2023 | $195,264 | April 1, 2023 | November 30, 2026 | Mustafa Hajij | nsf.gov |
| Collaborative Research: EAGER: ADAPT:Charting the Space of Material Microstructures with Artificial Intelligence | NSF | Materials Research Section | 2022 | $192,372 | September 1, 2022 | August 31, 2026 | Benjamin D Schweinhart | nsf.gov |
| Collaborative Research: CDS&E: Data-Driven Discovery of Neural ODE Dynamics, Astrophysical Models, and Orbits (Neural ODE DynAMO) | NSF | Astronomical Science Section | 2024 | $189,022 | August 15, 2024 | July 31, 2027 | Scott E Field | nsf.gov |
| Wasserstein Optimization in Data Science: Recovery and Sampling | NSF | Mathematical Science Section | 2023 | $187,627 | September 1, 2023 | August 31, 2027 | Tyler Maunu | nsf.gov |
| Collaborative Research: NSF-NSERC: Data-enabled Model Order Reduction for 2D Quantum Materials | NSF | Mathematical Science Section | 2024 | $184,502 | September 1, 2024 | August 31, 2027 | Daniel Massatt | nsf.gov |
| CAREER: Machine learning, Mapping Spaces, and Obstruction Theoretic Methods in Topological Data Analysis | NSF | Mathematical Science Section | 2024 | $180,399 | April 1, 2024 | April 30, 2026 | Jose Perea | nsf.gov |
| Collaborative Research: CDS&E-MSS: Community detection via covariance structures | NSF | Division Of Mathematical Sciences | 2023 | $180,000 | September 1, 2023 | November 30, 2023 | Yunpeng Zhao | nsf.gov |
| Next-generation Tempering Methods for Multimodal Sampling: Theory and Applications | NSF | Mathematical Science Section | 2023 | $180,000 | June 1, 2023 | February 28, 2027 | Quan Zhou | nsf.gov |
| Bridging the Generalization and Interpretation Gaps in Deep Neural Networks | NSF | Mathematical Science Section | 2023 | $180,000 | September 1, 2023 | August 31, 2027 | Yuan Ke | nsf.gov |
| Collaborative Research: CDS&E-MSS: Community detection via covariance structures | NSF | Mathematical Science Section | 2024 | $180,000 | October 15, 2023 | August 31, 2027 | Yunpeng Zhao | nsf.gov |
| Collaborative Research: CAS-Climate: Risk Analysis for Extreme Climate Events by Combining Numerical and Statistical Extreme Value Models | NSF | Mathematical Science Section | 2023 | $175,000 | September 1, 2023 | August 31, 2026 | Likun Zhang | nsf.gov |
| Collaborative Research: CAS-Climate: Risk Analysis for Extreme Climate Events by Combining Numerical and Statistical Extreme Value Models | NSF | Mathematical Science Section | 2023 | $175,000 | September 1, 2023 | August 31, 2026 | Benjamin Shaby | nsf.gov |
| Collaborative Research: Algorithms for Learning Regularizations of Inverse Problems with High Data Heterogeneity | NSF | Division Of Mathematical Sciences | 2022 | $170,000 | April 15, 2022 | March 31, 2025 | Xiaojing Ye | nsf.gov |
| Bayesian Sparse Dirichlet-Multinomial Models for Discovering Latent Structure in High-Dimensional Compositional Count Data | NSF | Mathematical Science Section | 2023 | $164,999 | September 1, 2023 | August 31, 2027 | Matthew D Koslovsky | nsf.gov |
| Collaborative Research: Laboratory Data Enabled Phase Field Modeling and Data Assimilation for Coupled Two-Phase Fluid Flow and Porous Media Flow | NSF | Mathematical Science Section | 2022 | $160,000 | August 1, 2022 | July 31, 2026 | Xiaoming He | nsf.gov |
| Efficient Computation of Generalized Persistence Diagrams | NSF | Mathematical Science Section | 2023 | $160,000 | September 1, 2023 | August 31, 2027 | Dmitriy Morozov | nsf.gov |
| Collaborative Research: Understanding Ablation Through Accurate Integration of Models and in Vivo Experimental Data | NSF | Mathematical Science Section | 2025 | $160,000 | September 15, 2025 | August 31, 2028 | Alessandro VENEZIANI | nsf.gov |
| Adaptive Bayesian Models for Entity Resolution with Heterogeneous Data | NSF | Division Of Mathematical Sciences | 2023 | $159,594 | December 1, 2022 | May 31, 2025 | Brenda Betancourt | nsf.gov |
| Collaborative Research: Multiparameter Topological Data Analysis | NSF | Mathematical Science Section | 2025 | $157,319 | January 1, 2025 | August 31, 2027 | Facundo Memoli | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Mathematical Science Section | 2023 | $154,774 | June 15, 2023 | July 31, 2026 | Pulong Ma | nsf.gov |
| Energetic Variational Inference: Foundations, Algorithms, and Applications | NSF | Division Of Mathematical Sciences | 2022 | $152,180 | July 1, 2022 | June 30, 2024 | Lulu Kang | nsf.gov |
| Collaborative Research: CDS&E: Scalable Inference for Spatio-Temporal Markov Random Fields | NSF | Division Of Mathematical Sciences | 2022 | $150,000 | August 1, 2022 | July 31, 2025 | Andres Gomez | nsf.gov |
| Flexible Log-Likelihood Functions | NSF | Division Of Mathematical Sciences | 2022 | $150,000 | May 1, 2022 | June 30, 2025 | Benjamin K Goodrich | nsf.gov |
| Collaborative Research: Cost-Efficient and Confident Sampling for Modern Scientific Discovery | NSF | Mathematical Science Section | 2023 | $150,000 | September 1, 2023 | August 31, 2026 | Simon Mak | nsf.gov |
| Collaborative Research: New Theory and Methods for High-Dimensional Multi-Task and Transfer Learning Inference | NSF | Mathematical Science Section | 2023 | $150,000 | September 1, 2023 | August 31, 2027 | Yang Feng | nsf.gov |
| Scalable Entity Resolution for Massive and Streaming Data Contexts | NSF | Mathematical Science Section | 2024 | $150,000 | September 1, 2024 | August 31, 2027 | Andrea J Kaplan | nsf.gov |
| Collaborative Research: Causal Discovery and Individualized Policy Optimization for Human Text Data | NSF | Mathematical Science Section | 2024 | $150,000 | September 1, 2024 | August 31, 2027 | Jiayi Wang | nsf.gov |
| Data-driven Modeling and Inference for High-order Models on Networks | NSF | Mathematical Science Section | 2025 | $150,000 | September 1, 2025 | August 31, 2028 | Weiqi Chu | nsf.gov |
| Methods for Nonlinear, Non-Gaussian, and Data-Driven Ensemble Data Assimilation in Large-Scale Applications | NSF | Division Of Mathematical Sciences | 2022 | $149,999 | August 1, 2022 | July 31, 2025 | Ian G Grooms | nsf.gov |
| Collaborative Research: New Theory and Methods for High-Dimensional Multi-Task and Transfer Learning Inference | NSF | Mathematical Science Section | 2023 | $149,999 | September 1, 2023 | August 31, 2026 | Jinchi Lv | nsf.gov |
| Computationally Tractable Inference for Multi-Messenger Astrophysics | NSF | Division Of Mathematical Sciences | 2022 | $149,978 | August 1, 2022 | July 31, 2025 | Galin Jones | nsf.gov |
| Collaborative Research: Breaking the 1D barrier in radiative transfer: Fast, low-memory numerical methods for enabling inverse problems and machine learning emulators | NSF | Mathematical Science Section | 2023 | $148,832 | September 1, 2023 | August 31, 2027 | Robert M Pincus | nsf.gov |
| CDS&E: Robust Symmetry-Preserving Machine Learning: Theory and Application | NSF | Mathematical Science Section | 2025 | $148,657 | December 1, 2024 | August 31, 2027 | Wei Zhu | nsf.gov |
| Collaborative Research: SCALE MoDL: Adaptivity of Deep Neural Networks | NSF | Mathematical Science Section | 2025 | $147,448 | October 1, 2024 | September 30, 2026 | Yu-Xiang Wang | nsf.gov |
| Collaborative Research: Learning to learn with rigor: foundations of amortized inference | NSF | Mathematical Science Section | 2025 | $140,000 | September 1, 2025 | August 31, 2028 | Lizhen Lin | nsf.gov |
| Collaborative Research: Bridging short and long time scales in global plate tectonics through solver adaptivity | NSF | GEO - Core Programs | 2024 | $139,999 | September 1, 2024 | August 31, 2027 | Georg Stadler | nsf.gov |
| Collaborative Research: Multiparameter Topological Data Analysis | NSF | Mathematical Science Section | 2023 | $130,000 | September 1, 2023 | August 31, 2027 | Bei W Phillips | nsf.gov |
| Collaborative Research: Empirical Frequency Band Analysis for Functional Time Series | NSF | Mathematical Science Section | 2022 | $126,408 | September 1, 2022 | August 31, 2026 | Scott A Bruce | nsf.gov |
| Collaborative Research: Scalable Gaussian-Process Methods for Spatial Statistics and Machine Learning | NSF | Division Of Mathematical Sciences | 2024 | $125,477 | August 15, 2024 | February 28, 2026 | Matthias S Katzfuss | nsf.gov |
| Collaborative Research: Laboratory Data Enabled Phase Field Modeling and Data Assimilation for Coupled Two-Phase Fluid Flow and Porous Media Flow | NSF | Mathematical Science Section | 2022 | $110,000 | August 1, 2022 | July 31, 2026 | Leo Rebholz | nsf.gov |
| Collaborative Research: EAGER: ADAPT: Charting the Space of Material Microstructures with Artificial Intelligence | NSF | Division Of Materials Research | 2022 | $106,769 | September 1, 2022 | August 31, 2025 | Jeremy K Mason | nsf.gov |
| Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications | NSF | Mathematical Science Section | 2022 | $100,000 | August 1, 2022 | July 31, 2025 | Matthias Chung | nsf.gov |
| Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications | NSF | Mathematical Science Section | 2022 | $100,000 | August 1, 2022 | July 31, 2026 | Petros Drineas | nsf.gov |
| Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications | NSF | Mathematical Science Section | 2022 | $100,000 | August 1, 2022 | July 31, 2026 | Rosemary Renaut | nsf.gov |
| Collaborative Research: Differential Equations Motivated Multi-Agent Sequential Deep Learning: Algorithms, Theory, and Validation | NSF | Division Of Mathematical Sciences | 2022 | $100,000 | July 1, 2022 | June 30, 2025 | Bao Wang | nsf.gov |
| Collaborative Research: New Methods, Theory and Applications for Nonsmooth Manifold-Based Learning | NSF | Division Of Mathematical Sciences | 2023 | $98,991 | October 1, 2022 | May 31, 2024 | Shiqian Ma | nsf.gov |
| Collaborative Research: Aggregated Monte Carlo: A General Framework for Distributed Bayesian Inference in Massive Spatiotemporal Data | NSF | Division Of Mathematical Sciences | 2022 | $81,083 | October 1, 2021 | May 31, 2024 | Rajarshi Guhaniyogi | nsf.gov |
| Collaborative Research: Algorithms for Optimal Adaptive Enrichment Design in Randomized Trial | NSF | Division Of Mathematical Sciences | 2022 | $68,586 | January 1, 2022 | May 31, 2024 | Xingyuan Fang | nsf.gov |
| Collaborative Research: Adaptive Gaussian Markov Random Fields for Large-scale Discrete Optimization via Simulation | NSF | Division Of Mathematical Sciences | 2023 | $67,483 | October 1, 2022 | June 30, 2023 | Eunhye Song | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Mathematical Science Section | 2025 | $60,289 | July 1, 2025 | July 31, 2026 | Li Ma | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Division Of Mathematical Sciences | 2022 | $59,710 | August 1, 2022 | July 31, 2025 | Li Ma | nsf.gov |
| Collaborative Research: Integrating Algebraic Topology, Graph Theory, and Multiscale Analysis for Learning Complex and Diverse Datasets | NSF | Division Of Mathematical Sciences | 2025 | $55,860 | February 1, 2025 | August 31, 2025 | Duc D Nguyen | nsf.gov |
| Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data with Scalable Quantile Learning | NSF | Division Of Mathematical Sciences | 2024 | $54,378 | September 1, 2024 | August 31, 2026 | Huixia J Wang | nsf.gov |
| Collaborative Research: Enabling Hybrid Methods in the NIMBLE Hierarchical Statistical Modeling Platform | NSF | Division Of Mathematical Sciences | 2023 | $47,692 | May 15, 2023 | June 30, 2025 | Daniel Turek | nsf.gov |
| Collaborative Research: Multiparameter Topological Data Analysis | NSF | Division Of Mathematical Sciences | 2023 | $42,670 | September 1, 2023 | March 31, 2025 | Facundo Memoli | nsf.gov |
| Collaborative Research: Empirical Frequency Band Analysis for Functional Time Series | NSF | Division Of Mathematical Sciences | 2022 | $40,430 | September 1, 2022 | May 31, 2024 | Pramita Bagchi | nsf.gov |
| Collaborative Research: CDS&E-MSS: Community detection via covariance structures | NSF | Mathematical Science Section | 2023 | $40,000 | September 1, 2023 | August 31, 2027 | Ning Hao | nsf.gov |
| Collaborative Research: Data-Driven Elastic Shape Analysis with Topological Inconsistencies and Partial Matching Constraints | NSF | Division Of Mathematical Sciences | 2024 | $39,742 | April 1, 2024 | August 31, 2025 | Nicolas Charon | nsf.gov |
| EAGER-QIA: Detecting Knottedness with Quantum Computers | NSF | Division Of Mathematical Sciences | 2023 | $37,367 | January 1, 2023 | August 31, 2023 | Eric G Samperton | nsf.gov |
| Collaborative Research: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Process Modeling | NSF | Division Of Mathematical Sciences | 2022 | $25,226 | August 1, 2022 | October 31, 2023 | Pulong Ma | nsf.gov |
| Conference: Sage Days Duluth | NSF | Division Of Mathematical Sciences | 2022 | $25,000 | May 15, 2022 | April 30, 2023 | Kathleen L Petersen | nsf.gov |
| Collaborative Research: Enabling Hybrid Methods in the NIMBLE Hierarchical Statistical Modeling Platform | NSF | Division Of Mathematical Sciences | 2022 | $22,186 | July 1, 2022 | July 31, 2023 | Daniel Turek | nsf.gov |
| Collaborative Research: Adaptive Data Assimilation for Nonlinear, Non-Gaussian, and High-Dimensional Combustion Problems on Supercomputers | NSF | Division Of Mathematical Sciences | 2024 | $11,569 | October 15, 2023 | August 31, 2025 | Xinfeng Gao | nsf.gov |
| CDS&E: Robust Symmetry-Preserving Machine Learning: Theory and Application | NSF | Division Of Mathematical Sciences | 2023 | $11,343 | September 1, 2023 | January 31, 2025 | Wei Zhu | nsf.gov |
Organizations
Funding by fiscal year
| Fiscal year | NIH awards | NIH amount | NSF awards | NSF amount |
|---|---|---|---|---|
| 2026 | 0 | $0 | 4 | $674,686 |
| 2025 | 0 | $0 | 27 | $3,885,351 |
| 2024 | 0 | $0 | 50 | $7,503,438 |
| 2023 | 0 | $0 | 52 | $8,523,356 |
| 2022 | 0 | $0 | 42 | $6,012,949 |
Open federal funding opportunities
From Grants.gov: notices that funded awards in this table, and open notices on the same agency and assistance listing.
| Open opportunity | Number | Agency | Listing | Closes | Award ceiling | Why it matches |
|---|---|---|---|---|---|---|
| Geometric Analysis | PD-22-1265 | NSF | 47.049 | November 3, 2026 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Topology | PD-22-1267 | NSF | 47.049 | November 3, 2026 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) | 26-512 | NSF | 47.049 | November 4, 2026 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Astronomy and Astrophysics Research Grants | 22-624 | NSF | 47.049 | November 16, 2026 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Applied Mathematics | PD-16-1266 | NSF | 47.049 | November 16, 2026 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Plasma Physics | PD-23-1242 | NSF | 47.049 | November 16, 2026 | Not listed | Same assistance listing 47.049 as 110 awards here |
| National Science Foundation Translation to Practice (NSF TTP) | 25-540 | NSF | 47.049 | November 17, 2026 | $2 million | Same assistance listing 47.049 as 110 awards here |
| Computational Mathematics | PD-16-1271 | NSF | 47.049 | December 1, 2026 | $1.2 million | Same assistance listing 47.049 as 110 awards here |
| Statistics | PD-18-1269 | NSF | 47.049 | December 15, 2026 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Training-based Workforce Development for Advanced Cyberinfrastructure | 23-520 | NSF | 47.049 | January 21, 2027 | $1 million | Same assistance listing 47.049 as 110 awards here |
| Security, Privacy, and Trust in Cyberspace (NSF SaTC) | 25-515 | NSF | 47.049 | January 25, 2027 | $1.2 million | Same assistance listing 47.049 as 110 awards here |
| EPSCoR Research Infrastructure Improvement Program: Focused EPSCoR Collaborations (FEC) | 24-573 | NSF | 47.049 | January 26, 2027 | $1.5 million | Same assistance listing 47.049 as 110 awards here |
| Mathematical Sciences Infrastructure Program | PD-20-1260 | NSF | 47.049 | February 2, 2027 | Not listed | Same assistance listing 47.049 as 110 awards here |
| GROWING CONVERGENCE RESEARCH (GCR) | 24-527 | NSF | 47.049 | February 8, 2027 | $3.6 million | Same assistance listing 47.049 as 110 awards here |
| Mid-scale Research Infrastructure-1 | 24-598 | NSF | 47.049 | February 8, 2027 | $20 million | Same assistance listing 47.049 as 110 awards here |
| EMERGING FRONTIERS IN RESEARCH AND INNOVATION (EFRI-2026/27): Wave-Based Computing ( EFRI-WBC) | 26-524 | NSF | 47.049 | February 11, 2027 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Pathways to Enable Secure Open-Source Ecosystems (PESOSE) | 26-506 | NSF | 47.049 | March 2, 2027 | Not listed | Same assistance listing 47.049 as 110 awards here |
| NSF National Quantum Virtual Laboratory (NQVL) | 24-586 | NSF | 47.049 | April 6, 2027 | Not listed | Same assistance listing 47.049 as 110 awards here |
| EPSCoR Research Infrastructure Improvement (RII): EPSCoR Research Fellows | 24-528 | NSF | 47.049 | April 13, 2027 | Not listed | Same assistance listing 47.049 as 110 awards here |
| Findable Accessible Interoperable Reusable Open Science (FAIROS) | 25-533 | NSF | 47.049 | April 14, 2027 | Not listed | Same assistance listing 47.049 as 110 awards here |
Updated November 3, 2026. Read from NIH RePORTER ExPORTER and NSF Award Search. Published by NIH and NSF as U.S. government data. NIH awards are fiscal years 2021 to 2025 (NIH files published to 2026-07-09); NSF awards are fiscal years 2022 to 2026 (NSF files published to 2026-11-02). NIH amounts are the total cost of each fiscal year in the window; NSF amounts are the funds obligated in the window. Organizations are matched on the UEI. Open opportunities come from Grants.gov and match on agency and assistance listing number, and on the notice number NIH prints on an award. Free to reuse with credit to SpecStream under CC BY 4.0. Spot a wrong value? Write to [email protected] with the link to this page.