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Top doctoral summer school at SEB LU

30.09.2019Comments are closed.

Multinational cooperation and learning, high-quality programe in advanced methodological skills and top academic lecturers are just a few elements contributing to the excellence of the Global School in Empirical Research Methods (GSERM), organized by University of Ljubljana, School of Economics and Business together with partner institution, University of St. Gallen. For two weeks (19th to 30th of August 2019), 35 PhD students, postdocs and researchers from 11 different countries, participated in four different courses and built an international network of cooperation and knowledge sharing.

Since the GSERM program has existed for a few years now, many participants decided to join based on colleague recommendations. Several colleagues recommended the GSERM courses as they had already attended in the past and their experience with the organization was very positive in all of the cities offered, including Ljubljana. They praised the high level of academic rigor, competence of lecturers, variety of topics, affordability and organization and last, but not least, the locations,” said Alexander Kulumbeg (Vienna University of Economics and Business, Austria).

Discussing the personal motivation to join the program, Daria Teterina (National Research University Higher School of Economics, Russia) said: “I was really interested in the topics announced in the school program. Firstly, the study of these topics should have been useful for me, as for teachers of econometrics at our university. Secondly, the course program was supposed to help me master some of the machine learning methods that I plan to use in my current research work. And, of course, one of the most motivating goals was the opportunity to meet a lot of interesting and smart people whose interests are similar to mine.”

The courses, academic and organizational staff, and fellow students all met the expectations of the participants. The pace in the classroom was pretty fast, but comfortable. In just a week, we managed to cover several large sections of econometrics and machine learning,” said Daria Teterina, and Alexander Kulumbeg added: I learned a great deal not only in the course, but also outside of it. I had a chance to compare how other PhD students work, what are their problems and research, and how do they deal with them.

Erik Linden (University of St.Gallen, Switzerland), Christopher Schumacher (University of St.Gallen, Switzerland) and Leslie Zwerwer (University of Groningen, the Netherlands) all agreed that the knowledge and the insights they gained in class were the most valuable takeaway from GSERM Ljubljana. Daria Teterina was very pleased with the course Econometrics of Big Data, since it provided the improvement of skills in big data analysis, multidimensional modeling, as well as non-parametric model estimation; allowed to gain new knowledge in machine learning, deep learning, as well as in asymptotic modeling.”  Alexander Kulumbeg participated in the Text Mining Course since “the topic of text mining is relevant to my research and this course gave me a concise overview of the various methods used for analysis and insight collection.

Besides high-quality courses, many other social events and programs were offered. The two-hour tour of Ljubljana passed quickly, and participants learned a lot of unusual and funny facts about Slovenia. Other gatherings enabled everyone to embrace the Slovenian culture, which made the stay in Slovenia very enjoyable.

With several suggestions from the participants (additional practical lessons, bilateral sessions, webinars and interdisciplinary collaboration) the GSERM Ljubljana will continue to improve in order to further fulfill its mission of enabling participants in mastering advanced methodological skills that will empower them to conduct cutting-edge academic research.

Iva Drvarič, Efnews

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