22 – 29 July 2020 Bratislava
Economics
Summer School
2020
The most important economics training event of the summer in Slovakia
Economics Summer School
The best way to meet with leading specialist in the field
About Economics Summer School
Economics Summer School (ESS) 2020 is an extraordinary training event in Slovakia. ESS is a unique combination of learning and debating economics issues including engaging social frame. Over the course of few days, you will have a chance to interact with academics and guest speakers, and take part in social discussions.
ESS 2020 runs from 22 - 29 July in Bratislava, the capital city of Slovakia.
At the ESS, participants will be debating and discussing economics topics with cutting – edge thinking academics, including Barbora Šedová, Ivan Sekaj, Marek Šuppa, Igor Farkaš a Dominik Sopiak. Our keynote speaker will be Michal Horváth.
It will be an amazing opportunity to learn more and expand knowledge of economics.
Graduate and post-graduate students may also join the discussions about the latest developments in theories and applied sciences face-to-face with distinguished specialists from around the world.
Econometric Methods for (Policy) Impact Analysis
- Regression discontinuity design
- Panel data & differences-in-differences
- Matching
Machine Learning
- Overview and feedforward neural networks
- Unsupervised and recurrenet neural networks
- Introduction to computational intelligence and optimisation methods
Social programme
...in progress. We are finding possibilities according to raising the Covid-19 situation.
Lecturers
Igor Farkaš
Head of the Department of Applied Informatics and the Cognition and Neural Computation research group, coordinator of the Centre for Cognitive Science at the Faculty of Mathematics, Physics and Informatics of Comenius University in Bratislava
Barbora Šedová
(Co-)Leader of the Future Lab - Security, Ethnic Conflicts and Migration at the Potsdam Institute for Climate Impact Research
Ivan Sekaj
Head of the Department of Artificial Intelligence and professor on the Institute of Robotics and Cybernetics of the Faculty of Electrical Engineering and Information Technology, Slovak University of Technology
Marek Šuppa
Lecturer on Machine Learning and Natural Language Processing at the Faculty of Mathematics, Physics and Informatics
Dominik Sopiak
Researcher in the area of Computer Vision, Biometrics, Image Processing and Machine Learning and University Teacher on the Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava.
Igor Farkaš
Head of the Department of Applied Informatics and the Cognition and Neural Computation research group, coordinator of the Centre for Cognitive Science at the Faculty of Mathematics, Physics and Informatics of Comenius University in Bratislava
Prof. Igor Farkaš is the author of more than 70 scientific papers, a member of the Cognitive Science Society and the European Neural Network Society, he regularly reviews submissions for a number of impacted journals. His research interests include cognitive modeling (from sensorimotor learning to language), computational analyses of neural network models (deep networks, echo state networks), and hierarchical reinforcement learning. He has coordinated and participated in a number of national research projects. He teaches courses on neural networks, computational intelligence and grounded cognition. He has supervised 7 PhDs to completion and about 60 master theses. He biennially organises the Czecho-Slovak conference Cognition and Artificial Life.
Barbora Šedová
(Co-)Leader of the Future Lab - Security, Ethnic Conflicts and Migration at the Potsdam Institute for Climate Impact Research
Barbora Sedova (co-)leads the FutureLab - Security, Ethnic Conflicts and Migration at PIK. In her work, she analyzes mechanisms of climate-related impacts on human migration, inequality and risk of conflict in the developing world. The overarching goal of her research is to improve adaptation strategies that minimize welfare losses in a changing climate. In her research, she applies approaches from micro-econometrics, geospatial analysis, and systematic literature review.
Barbora is a Fellow at Mercator Research Institute on Global Commons and Climate Change (MCC) in Berlin and a PhD candidate in Economics at the University of Potsdam. She has conducted reserach stays at Columbia University and Yale University. She holds a Master’s degree in Economics from Tilburg University and a Bachelor’s degree in Business, Economics and Social Sciences from the Vienna University of Economics and Business. Barbora has also held various research and advisory positions, namely at PricewaterhouseCoopers in the Netherlands, the Ministry of Environment of the Slovak Republic, German Bundestag and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH.
Ivan Sekaj
Head of the Department of Artificial Intelligence and professor on the Institute of Robotics and Cybernetics of the Faculty of Electrical Engineering and Information Technology, Slovak University of Technology
His teaching area covers artificial intelligence methods and soft computing methods in control engineering. His research is focused to bio-inspired computation methods, evolutionary computation methods, optimisation methods ant their use in control engineering and other areas.
Marek Šuppa
Lecturer on Machine Learning and Natural Language Processing at the Faculty of Mathematics, Physics and Informatics
Marek Šuppa has graduated from the Faculty of Mathematics, Physics and Informatics, where he currently lectures on Machine Learning and Natural Language Processing. His professional and research interests lie in practical application of Machine Learning techniques to various fields, ranging from Robotics to Natural Language. He currently spends the bulk of his time on the former at a Slovak company called Slido, where he leads the Data team, as well as various Machine Learning initiatives.
Dominik Sopiak
Researcher in the area of Computer Vision, Biometrics, Image Processing and Machine Learning and University Teacher on the Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava.
Programme
22 – 29 July 2020
Part I: Econometric Methods for (Policy) Impact Analysis
22 – 24 July 2020
The aim of this course is to familiarise participants with the main econometric methods currently applied in policy impact analysis. The course begins with a discussion of the concept of causal inference, which lies at the core of any statistical impact analysis. The course further covers three important statistical methods for estimating causal effects: (i) regression discontinuity design, (ii) differences-in-differences, and (iii) matching.
These methods are designed to reproduce randomised experiments using available data. Each method has its advantages and disadvantages and can only be used under specific conditions. The course discusses the appropriate application of the methods, introduces some practical examples and covers exercises in Stata. The aim is to provide participants with sufficient technical and practical knowledge to enable them to carry out simple impact assessment studies on their own. The course is intended for analysts, researchers, as well as students with basic knowledge of econometric methods and a good command of English.
Part II: Machine Learning
27 – 29 July 2020
The goal of this part of the course is to provide conceptual introduction to various methods that belong to machine learning and optimisation approaches, the two fields that share some features and differ in others. Machine learning has become extremely popular in the last decade, especially thanks to remarkable achievements of deep learning. But computational intelligence methods in general have proven successful in solving various complex tasks. All topics will be presented at a slightly technical level, combined with practical examples, aiming to facilitate understanding.
Introduction
Evidence-based policy making Causal inference Refresher of basic statistical concepts Randomisation Experiments vs. quasi-experiments
Barbora ŠedováOrganisers
The event is organised by the Institute of Banking Education NBS, n.o.
under the supervision of the Programme committee
Ľudovít Ódor
Deputy Governor of National Bank of Slovakia; former member of the Council for Budget Responsibility, Deputy Chair of Network of EU Independent Fiscal Institutions and Visiting Professor at the Central European
Michal Horváth
Head of Economic and Monetary Analysis (Chief Economist), National Bank of Slovakia
Ľudovít Ódor
Deputy Governor of National Bank of Slovakia; former member of the Council for Budget Responsibility, Deputy Chair of Network of EU Independent Fiscal Institutions and Visiting Professor at the Central European
Michal Horváth
Head of Economic and Monetary Analysis (Chief Economist), National Bank of Slovakia
Michal Horváth is an Honorary Fellow in the Department of Economics and Related Studies at the University of York. In my full-time job, I am head of Economic and Monetary Analysis (Chief Economist) at the National Bank of Slovakia. He was a Lecturer in Economics at York between 2014 and 2019. Before coming to York, he was a Research Fellow at Nuffield College, University of Oxford between 2009 and 2014.
Michal finished PhD in economics at the University of StAndrews in 2007 and he also a graduate of Comenius University Bratislava, Slovakia (2002) and University of York (2003).
Between 2012 and 2015, he served a three-year term as one of the founding members of Slovakia's Council for Budget Responsibility - an independent fiscal watchdog. In this role, he started coordinating the activities of the Network of EU Independent Fiscal Institutions, a platform for cooperation among EU fiscal watchdogs.
In the past, he also worked in both the private and public sectors in Slovakia. Notably, he served as an adviser to Slovak finance ministers between 2007 and 2012. Between 2008 and 2010, he was a member of the Economic and Financial Committee of the European Union and the Eurogroup Working Group on behalf of Slovakia.He also participated in the working group preparing the reform of economic governance in Europe for the task force led by the President of the European Council in 2010.
Martin Šuster
Director of Research Department, National Bank of Slovakia (central bank)
Martin Šuster is the director of research at the National Bank of Slovakia (central bank). He also serves as the chairman of the Slovak Economic Association. He holds a PhD. in economics from the University of Maryland, College Park, USA.
In 2004 he became an advisor to the deputy governor of the National bank of Slovakia. Later on he moved to head an international economics section of the research department and since 2007 he is a director of the NBS research department. In the period of 2007-2009 he was a chairman of a Working committee for communication on euro adoption, responsible for managing the euro information campaign in the Slovak Republic. Mr. Šuster has been lecturing macroeconomics and economic policies at several Slovak universities. He is a member of the scientific committee at the Faculty of Management of Comenius University. His research interests include macroeconomics, convergence, monetary policy and the evaluation of research quality.
Venue
- Lindner Hotel Gallery Central
Metodova 4, Bratislava, Slovakia - summerschool@ibv-nbs.sk
- 0905 436 751
- 8:00 - 16:00