This post is the second in our series profiling CMJS researchers. Today, we introduce Graham Wright, research associate at CMJS since 2005.
Your work primarily concerns Birthright Israel, correct? How does your background inform the way you see your work?
My work largely concerns research connected with Taglit-Birthright Israel. However, I often lend a hand to other projects that require tricky statistics or sampling work. I’m generally interested in anything that delves into interesting methodological or analytical issues, especially if it requires digging into the literature and/or spending time staring up at the ceiling trying to figure something out. Any sort of problem solving usually appeals to me, regardless of the issue.
My background is in philosophy, which is somewhat unorthodox for a survey researcher. However, most of my knowledge of statistics is self-taught, and my background in philosophy was essential in helping me to absorb the abstract mathematical ideas lurking behind most statistical tests and formulas. In addition, difficult philosophical questions about things like causality and certainty are at the center of survey research, and I find wrestling with these issues is the most exciting part of my work here.
Any thoughts about the significance of your research for academics or policymakers?
Methodologically speaking, there is a large gulf between the larger social sciences field and the bulk of Jewish social science research. Many of the techniques we use to collect and analyze data have been standard in the social sciences for the last 50 years, but are still considered new and controversial in the Jewish world, and are often badly misunderstood. One of our biggest challenges is presenting our results in a manner that is easy to understand, but doesn’t gloss over the subtleties and qualifications that are present in any form of quantitative research. My hope is that the efforts we’ve put into finding new ways to present our data can help bridge the rift between Jewish social science research and the field as a whole.
What do you do when you are not estimating variances and wrestling with causality ?
I play guitar and keyboards in a dancy synth-rock band, which occupies the balance of my social life. My music tastes run the gamut from baroque to bluegrass to jazz to hip hop, although I find that punk rock is the best music to write Stata code by. I’ve been taking graduate courses for the past few years, and in September I’m beginning the Masters of Public Policy program at the Heller School at Brandeis. At the same time, I’ll continue my work at the Cohen Center.