The Office of Faculty Enhancement (OFE) facilitates and coordinates the formation and logistics of Faculty Learning Communities (FLCs), which are groups of approximately 6-12 faculty members organized around a theme or cohort who commit to meeting regularly and to working collaboratively on issues relevant to all members within the FLC.
Meetings: 2:00-3:00 p.m. bi-weekly, starting September 16th
Sign-up Any successful faculty at UNF is expected to be engaged in the meaningful research. Research requires time, effort, and financial support for students. UNF faculty pursue external funding to obtain such support. Grant writing is a key component of this process. The major goal of the Grant Writing Learning Community is to offer step by step help in the grant writing process for interested faculty at UNF.
During past decade Dr. Gasparov secured total of $377,168 in the peer-reviewed competitive grants from such funding agencies as the National Science Foundation, Research Corporation for the Advancement of Sciences, and the American Chemical Society Petroleum Research Grant. Dr. Gasparov will apply his experience in proposal development to facilitate this learning community. Visit the Faculty Fellows web page.
Quantitative AnalysisFaculty Fellow: Chung-Ping Loh, Department of Economics and Geography, CCB
Meetings: 1:00-2:00 p.m. biweekly, starting September 9thSign-up Academic research constantly relies on statistical analysis for the provision of empirical evidence. While the demand for quantitative analysis is high, the standard of rigor for quantitative research has also been on the rise. In addition, many researchers are looking for alternative statistical approaches to enhance their disciplinary research. The faculty learning community on quantitative analysis will serve as a platform that brings together faculty who are interested in quantitative analysis for exchange of experience and knowledge in quantitative analysis across disciplines.
Dr. Albert Loh has experience in applying a wide range of statistical/econometric methods in the modeling of individual behaviors, economic and health policy analysis, program evaluation, and cost-benefit analysis. Dr. Loh will provide the statistical consultation for faculty who are interested in understanding the potential use of various statistical models given the constraint of one’s chose research topic and choose a statistical model that can best answer a research question. Faculty may also approach Dr. Loh as a collaborator in research projects involving statistical analysis. Visit the Faculty Fellows web page.
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