Computational and Data Enabled Science and Engineering (CDSE) in Engineering | Apply Online

Opportunity Summary:

The National Science Foundation (NSF) grant opportunity titled Computational and Data Enabled Science and Engineering (CDSE) in Engineering, also referenced as CDSE or CDS&E and described in the announcement as CDSampE (Computational and Data Enabled Science and Engineering), is a cross-disciplinary funding program designed to push engineering research forward by tightly integrating computation, data, and domain science. At its core, the program targets research at the intersection of mathematics and statistics, computer and computational science, and the foundational engineering disciplines. The emphasis is on enabling transformative discovery and innovation by developing and applying advanced computational methods, modern data-centric approaches (including information processing, data mining, and analysis), and the cyberinfrastructure needed to run and scale those approaches. Alongside research advances, the opportunity explicitly values education and training in computation and data-driven methods, including workforce development that prepares both specialists and non-specialists to work effectively with computational and data-enabled tools.

Within the broader NSF-wide CDSE activity, the CDSE in Engineering (CDSE ENG) focus highlights the two-way relationship between engineering and computational/data science. Engineering problems frequently involve natural or built systems that operate across multiple time and length scales and require high-fidelity simulation to understand, predict, design, and manage. The program description points to the growing need for simulations that can be interrogated and analyzed, used to build or refine models, and employed for optimization and control. It also underscores the increasing importance of connecting computation with experimental or observational data, including the integration of simulation workflows with experiments, sensors, testbeds, and even physical facilities. In practical terms, NSF is signaling interest in projects that do not treat modeling and data as separate tracks, but instead confront the combined challenges that appear when large-scale computation and real-world data are used together to answer engineering questions.

The research scope is intentionally broad but anchored in “fundamental research” that advances the next generation of theories, algorithms, methods, tools, and supporting cyberinfrastructure for science and engineering applications. That includes, for example, new computational algorithms, improved numerical methods, scalable data analytics for engineering datasets, robust methods for uncertainty quantification, hybrid modeling approaches that fuse physics-based simulation with data-driven models, and software or workflow tools that make advanced computation more usable and reliable. A central expectation is that proposals be clearly relevant to engineering while also being cross-cutting and integrative, meaning they should connect ideas or techniques across fields and show how those connections enable capabilities that would be hard to achieve within a single narrow discipline.

From a funding and administrative standpoint, this was a discretionary NSF grant opportunity (Funding Opportunity Number 12-549) categorized under Science and Technology and other Research and Development. NSF anticipated making about 15 awards with an estimated total program funding level of $5,000,000. The CFDA listings tied to the opportunity were 47.041 (Engineering Grants) and 47.080 (Office of Cyberinfrastructure), reflecting the program’s dual emphasis on engineering impact and the computing/data infrastructure that makes that impact possible. Cost sharing was not required. Eligibility was listed as unrestricted (open broadly to eligible entity types, subject to any clarifications in the official announcement text), which typically means the opportunity was accessible to a wide range of applicant organizations allowed under NSF rules.

The timeline in the posted information shows it was published on April 9, 2012, with a submission window running from June 3, 2012 through July 3, 2012, with proposals due by 5 p.m. local time for the proposer. The closing date was July 3, 2012, and the opportunity was archived on August 3, 2012. For applicant support, NSF directed technical access issues to the Grants.gov support channel (grantsgovsupport@nsf.gov), consistent with standard federal submission procedures.

In summary, CDSE in Engineering was structured to fund ambitious, foundational engineering research that advances computational and data-enabled approaches as first-class drivers of innovation. It sought proposals that develop new computational and data methodologies and demonstrate how they unlock better modeling, simulation, inference, optimization, and control of complex engineering systems, especially where modern engineering practice requires blending large-scale computation with experimental and observational data.

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