Back in Belgrade working with the good team at the European Policy Centre. This time we covered survey and questionnaire design. Worked on a few research designs and it very much looked like what they had in mind requires dealing with multilevel data structures. So we improvised a little multilevel modeling workshop as well to get them up to speed. What a great team!
With the help of David Pupovac and then this training session (by moi), you can count on the people at CEP (European Policy Centre in Belgrade) to be using the most up to date tools for quantitative policy analysis. A few months ago they did not know the first thing about statistics, now they are doing regression diagnostics with R. Impressive!!
In the hot of the summer, this group just want to learn new things. Impressive bunch at the European Policy Centre in Belgrade. Once we are done with this session, correlation, regression will be second nature on top of all the qualitative analysis skills and experiences they already have.
Working with the good people at the European Policy Centre in Belgrade. One cannot wish for a more awesome group of analysts. They invited me (thanks Milena Lazarevic) to work on the team’s quantitative policy analysis skills and I could not be more impressed with the group.
Today, I am starting a new adventure of an EU Framework Program 7 research grant funded collaborative research project with 9 other Universities. CUPESSE, or the Cultural Pathways to Economic Self-Sufficiency and Entrepreneurship, “is dedicated to the comparative analysis of youth unemployment in Europe. By taking issues related both to the demand and supply sides into consideration, the project aims to obtain a comprehensive picture of the causes and consequences of unemployment among young people as well as to formulate policy strategies and recommendations for addressing this ever-growing issue. The project brings together a broad network of researchers and practitioners from the fields of economics, political science, psychology, and sociology.”
For me the appeal is less the dependent variable and more the family studies and methodology. My team is specifically responsible for the data analysis work package.