Mickey leads research and development to keep SSRS’s methods on the cutting edge in the fast-changing world of survey and data science. In his current and prior roles, he has worked with CNN, the University of California – Los Angeles, federal statistical agencies, and numerous other clients to transition large-scale, high-profile data collections to new methodologies. His current areas of focus include: enhancing SSRS’s new Encipher Hybrid methodology for blending probability and nonprobability samples; applying advanced predictive modeling to improve the efficiency of large-scale data collections using adaptive designs; building dashboards of data quality metrics for the SSRS Opinion Panel; and improving the accuracy of election polls.
Mickey is an active member of the American Association for Public Opinion Research (AAPOR), serving on the Standards Committee and contributing extensively to the recent AAPOR task force report on data quality in online samples. He has published multiple peer-reviewed journal articles and is a frequent presenter at methodological conferences.
Mickey grew up in Tucson, AZ and now lives in Arlington, VA. When not delving into exciting new datasets, he enjoys running, hiking in the Blue Ridge mountains, and traveling. He holds a Master’s degree in Public Policy from Carnegie Mellon University and a Bachelor’s degree in Economics from The Catholic University of America.