Michael Robbins, Statistician and Researcher at Rand Corporation and former NISS PostDoc Fellow from 2009 to 2011, was recently the recipient of a major NSF grant entitled “BIGDATA: IA: A Multi-phase Survey Strategy for Generalizing Inferences from Big Data”. This project will develop new statistical methods for generalizing inferences drawn from non-representative Big Data sources. The start date is January 1, 2019, and extends through 2022.
As a Postdoc at NISS, mentored by Dr. Sujit Ghosh from NC State University, Michael developed an imputation algorithm for the USDA’s Agricultural Resource Management Survey (ARMS) on the project titled “Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey”, which was administered by NISS and the National Agricultural Statistical Service (NASS).
Congratulations Michael on this significant achievement! We all look forward to progress regarding your research.