MEDIUM confidence
Researched 2026-07-22 22:41 · profile: researcher
Programme Thesis
The NSF Computational and Data-Enabled Science and Engineering (CDS&E) program funds transformative research that integrates computational methods, data science, and domain science to address fundamental challenges. It exists to accelerate discovery by supporting novel algorithms, data-driven models, and software infrastructure across all NSF-supported disciplines.
Selection Criteria
Intellectual Merit (potential to advance knowledge, innovation of approach, qualifications of PI); Broader Impacts (benefits to society, broadening participation, dissemination plan); Feasibility of proposed work; Appropriateness of budget; Data management and reproducibility plan; Integration of computational and domain expertise.
Past Winners / Cohort Profiles
Typical awardees are faculty at US universities or research institutions; postdocs and independent researchers are less common but possible if hosted by a US institution. Past winners include early-career PIs with strong computational backgrounds applying novel methods to physics, biology, or engineering problems. No specific named examples found on the page.
Ideal Candidate Fingerprint
A US-based faculty member or research scientist with a strong track record in computational methods and a clear domain application. The applicant should demonstrate expertise in algorithm development, data science, or modeling, and propose a project that bridges computational innovation with a significant scientific question, with a well-articulated broader impacts plan.
Recommended Framing
Eniola should frame his CCT model as a novel computational framework for addiction neuroscience, emphasizing the mathematical rigor (ODE/RK45, Bayesian MCMC) and data-driven validation. Highlight his independent research productivity, collaborations with leading neuroscientists (Berridge, Gershman, Daw), and the potential of CCT to transform addiction treatment, aligning with NSF's Broader Impacts through global health and LMIC capacity building.
Watch Out
NSF CDS&E typically requires PI affiliation with a US institution; Eniola is an independent researcher in Nigeria without a US host. Eligibility may be restricted to US universities or non-profits. He would need a US-based collaborator or host institution to apply. Also, the program may not fund clinical trials or pharmacological interventions directly, so the proposal must emphasize computational methodology.