Office of Research Development

Office of Research Development

Office of Research Development

The Office of Research Development (ORD) partners with Rowan faculty, staff, and administrators to develop competitive external grant proposals. Our team of professionals enhances the overall quality of these proposals by ensuring applicants meet sponsor guidelines, communicate clearly, and form the best teams for their research. Please click the links on the left to view our comprehensive services. For more information, contact ORD at



National Endownment for the Humanities (NEH) Summer Stipends Program 

The NEH Summer Stipends funding opportunity supports individuals pursuing advanced research that is of value to humanities scholars, general audiences, or both. Faculty members with tenured or tenure-track positions who teach full-time at institutions of higher education must be nominated by their institutions to apply for a 2025 Summer Stipend. Rowan may nominate one faculty member. Given this limitation, we are posting this funding opportunity as a limited submission solicitation.

Pre-proposals must be submitted no later than Friday, August 5th to the Office of Research Development at Please review the full details prior to deciding to respond to this call. For more information, contact John Manuel at

New Rowan University's Statistical Consulting Group

Get expert, low-cost support from the Rowan Statistical Consulting Group (SCG). The benefits of working with our faculty statisticians include:

  • Lowering study costs by optimizing statistical methodology aligned with your research needs
  • Grant and future publication preparation support related to statistical methodology and analyses, including responses to reviewer comments - shown to improve funding outcomes! 
  • Peace of mind knowing that your study used appropriate and effective statistical analyses
  • Getting an additional portion of indirect costs returned to you, when you include a Rowan SCG statistician in your grant!

SCG faculty have expertise in a variety of fields and approaches. Examples include:

  • Biostatistics: study design, data cleaning, and statistical analyses such as t-test, ANOVA, chi-square, regressions, survival analysis, modeling, multivariate analysis, meta-analysis, propensity-score matching
  • Data Mining/Deep Learning/Machine Learning: dimensionality reduction, classification, clustering, decision trees, neural networks
  • Platforms: SAS, R, Python, JMP, SPSS

We have experience working with a variety of clients and projects including but not limited to academic institutions, hospital and health care systems, and non-profit organizations.

Learn more