Greg Monaco of GPN and Jennifer Clarke of University of Nebraska – Lincoln (UNL) present an online three class course for responding effectively to the NSF Big Data Hub Project Solicitation (https://www.nsf.gov/pubs/2017/nsf17546/nsf17546.htm). Each class will focus on a separate aspect of proposal development.
Update, July 5: The first class is now July 28 instead of the 21st. Those who have already registered don’t have to do anything further.
- August 18: Class 3. Budget & Budget Justification
Follow the links to register for the classes.
Dr. Greg Monaco has been involved in grant proposal preparation since receiving his Ph.D. from Kansas State University. He served for 3 years as a program director/computer scientist at the National Science Foundation. At NSF he developed funding programs, convened review panels and made final award recommendations. In addition, Greg has served on review and oversight panels for the Department of Energy, National Endowment for the Humanities, National Science Foundation, and other state and federal research agencies. He is a member of the KSU research faculty in the Department of Psychological Sciences and serves as Director for Research and Cyberinfrastructure Initiatives with the Great Plains Network.
Jennifer Clarke, Ph.D., is a Professor of Food Science and Technology, and Statistics, and the Director of the Quantitative Life Sciences Initiative at the University of Nebraska-Lincoln. Dr. Clarke received her undergraduate degrees in Mathematics and Psychology from Skidmore University, a M.S. in Statistics from Carnegie Mellon University and a Ph.D. in Statistics from the Pennsylvania State University under the mentorship of C.R. Rao. She conducted postdoctoral research at the National Institute of Statistical Sciences in Research Triangle Park and the Department of Statistical Sciences at Duke University before joining the faculty at Duke. Prior to coming to UNL in 2013, she was a faculty member at the University of Miami in the Division of Biostatistics and the Center for Computational Sciences. She serves on the steering committee of the Midwest Big Data Hub and is co-PI on an award from the NSF focused on data challenges in Digital Agriculture. Her current interests include statistical methodology for metagenomics and prediction, and training the next generation of data scientists.