Russian Summer School on Institutional Analysis
Information about RSSIA 2020 is available here.
The Center for Institutional Studies, National Research University Higher School of Economics (CInSt, HSE), is pleased to announce the call for applications for the XIV Russian Summer School on Institutional Analysis which will take place on June 28 - July 4, 2020 in Moscow region.
We are monitoring the situation with the spread of the virus and, if necessary, adapt the format of the school to the restrictions that will be in place when visas are issued and the school is held.
We hope that things will develop in a positive way and that we will be able to host the school, so the application process continues.
The aim of RSSIA is to promote empirical research in various fields of Economics and foster the communication and expertise exchange between young researchers and established scholars, faculty and students. RSSIA 2020 will continue the tradition of previous Summer Schools with project proposal presentations and discussion, tutorials, faculty lectures, and networking opportunities.
The working language is English.
RSSIA 2020 emphasizes the importance of Big data, textual analysis, and machine learning. During the mini-course "Introduction to Machine Learning: Theory and Applications" by Elena Kantonistova (HSE University), which will be a part of RSSIA, we will discuss some classic and powerful machine learning algorithms and put them into practice using Python. Participants will learn what the famous gradient boosting is, and how artificial neural networks work. We will also analyze cases from various fields, including economic science, where machine learning is successfully applied.
RSSIA 2020 scope includes (and goes far beyond) the following fields:
– economics of education;
– behavioral and experimental economics;
– banks and financial markets;
– industrial organization, government regulation, and law enforcement;
– property rights, institutions and economic development.
The empirical research proposals on other topics, requiring the use of tools of economic analysis and/or computer science techniques, are also welcome.
Deadline for applications is March 29th, 2020.
As a RSSIA participant, you will have the opportunity:
– to attend the lectures of distinguished experts in various spheres of empirical economics and finance, as well as the those specializing in big data proceeding and analysis. John Nye (George Mason University and HSE University), Koen Schoors (Ghent University and HSE University), Sergey Popov (Cardiff Business School), Maria Yudkevich (HSE University), Elena Kantonistova (HSE University) and Gerhard Toews (New Economic School in Moscow) are among those who have already confirm their participation.
– to present and discuss your current research during seminars;
– to exchange the research experience with other RSSIA participants and faculty members;
– and, consequently, to improve your research significantly!
Participants are selected on the basis of their applications. You should apply online and
– fill in a registration form;
– write a motivation letter (no longer than 300 words);
– provide a current research project description (no longer than 1500 words + references) with a short
– abstract (no longer than 200 words).
You can find the research project proposal requirements at the Application page.
There is no registration fee. Organizers cover participants’ accommodation and food costs. However, participants will have to cover their travel and visa costs.