Meet the SCISR Team
SCISR Director – Susan Sherr, Ph.D.
Dr. Sherr has directed most of the large-scale health insurance and community health studies carried out by SSRS in the past thirteen years, spanning six states and several cities. Her other work involves a variety of program evaluation studies, public opinion surveys regarding religion and politics, the Annual Survey of Refugees, and studies of Jewish demography, among many other topics. Specifically, Susan has served as the Director of SSRS’s work on the CHIS, the MHIS since 2008, the MNHAS since 2009, the Oklahoma Health Care Insurance and Access Survey, the Health of Houston Survey, and most recently the OHIS, among others.
SCISR Associate Director – Kristen Conrad
Kristen has extensive experience working at the intersection of social science and commercial research, designing and delivering research and strategic insights to her clients, often using advanced multivariate analytic techniques. Of particular note, other highlights of Kristen’s career include overseeing all polling efforts for the Marquette Law School Poll (Wisconsin polling), managing academic research data collection for University of Wisconsin, University of Pennsylvania, and University of Southern California, as well as providing robust data collection and actionable insights for commercial clients such as Coca-Cola, Educational Testing Service, AT&T, and the American Cancer Society.
SCISR Methodologist – Arina Goyle, Ph.D.
Arina is a research methodologist with expertise in survey design and implementation for large-scale studies. She has served as the methodologist for major state health surveys, including CHIS, MHIS, MNHAS, OHIS, and RI HIS, and has also held dual roles as research methodologist and research director for the Annual Survey of Refugees. Her work focuses on improving representation of traditionally underrepresented populations in survey research. Arina has presented on this topic at multiple AAPOR conferences and published in Survey Practice on the effectiveness of prepaid cell samples in reaching hard-to-reach demographics.
