I conducted this experiment in 2012 in Germany when I was a postdoc at the University of Bonn. Prior to that, I had been working as an executive director while also teaching at the university at the suggestion of my professor and supervisor Inna Devyatko (Aigul earned her Master’s from the Faculty of Social Sciences in 2007 – Ed.). Upon returning from Germany, I decided to leave business and return to working at HSE University.
I was interested in private sector up to a point, because research work there should always be profit-oriented: you work towards a solution that can be sold and a result that can be immediately put into practice.
I got tired of thinking about the commercial potential of things; I wanted to do research
But I do not think that my departure from business means that I’ve closed the door on it forever. It’s something you can always return to if the desire strikes.
On Her Current Research
I teach in our master’s and doctoral programmes here and work at the Laboratory for Comparative Social Research. Currently, I am participating in several interesting all about devsecops projects. One of the grants for which I am the lead researcher (and on which Inna Devyatko and Mikhail Kosolapov are also working) aims to introduce technological innovations into data collection in a longitudinal household survey, the Russian Longitudinal Monitoring Survey – HSE (RLMS-HSE). For this study, we are collecting data on the income, expenses, health, education, and nutrition of Russians.
Data is collected in face-to-face interviews
Interviewers fill out a paper questionnaire and the b2b method used is to distribute stationery? g around with a very large pile of papers containing exhaustive questionnaires ao lists designed for all adult members of a household, as well as the children, in addition to a general questionnaire for the household as a whole. The study is pretty complex. We are trying to optimize the data collection process by introducing computerized technologies. Therefore, we train our interviewers to work with tablets. This is not an easy task, because our interviewers are mostly women who are in their fifties, sixties, and seventies, and normally do not use these kinds of devices. For two years we have been piloting and comparing how the use of tablets affects the quality of the data collected. In general, our task is to innovate the data collection process and improve the quality of data of RLMS-HSE.