Research grants are important for career advancement and provide the protected time and resources necessary for statisticians in academia to pursue an independent area of research. But it can be challenging to figure out where to apply for a grant and how to write a strong proposal. Which organizations offer funding for statistical research? How can you increase your chances of getting funded? What are the elements that are commonly found in grant applications that are successful? What do reviewers look for?
The NISS Academic Affiliates Committee is bringing together three accomplished senior statisticians who have extensive experience in both writing and reviewing grant proposals for the NIH and NSF.
If you are interested in applying for a statistics research grant for the first time or simply want to improve your grant writing skills, this is a meet-up that is worth attending!
Karen Messer, Ph.D. is Professor and Chief of the Division of Biostatistics and Bioinformatics in the Department of Family and Preventive Medicine at UC San Diego School of Medicine. Her methodological interests include more efficient clinical trial designs, asymptotic properties of resampling-based estimators, and methods for the analysis of high throughput sequencing data in genomics. She is currently Chair of the NIH Biostatistical Methods and Research Design Study Section which reviews grant applications that seek to advance statistical and mathematical techniques and technologies applicable to the experimental design and analysis of data in biomedical, behavioral, and social science research.
Yehua Li, Ph.D. is Professor in the Department of Statistics at UC Riverside. Dr. Li’s research interests include nonparametric/semi-parametric statistical methods, functional data analysis; spatial statistics, time series, measurement error models and mixture models. He has been the Principal Investigator of grants from the NSF and NIH, and was the recipient of a NSF CAREER award in 2012. He has also participated on multiple grant proposal review panels for national and international funding agencies.
Sujit Ghosh, Ph.D. is Professor of Statistics at NC State University. He conducts methodological research in biomedical and environmental sciences among others. He has served as a statistical investigator and consultant for over 40 different research projects funded by various leading private industries and federal agencies including the EPA, CDC, NIH and NSF. He has also served as the Program Director in the Division of Mathematical Sciences (DMS) at NSF in 2013-2014. He is currently the co-Chair of the American Statistical Association Committee on Funded Research.
Mimi Kim, Sc.D., Professor and Head, Division of Biostatistics, Department of Epidemiology and Population Health, Albert Einstein College of Medicine