Research Seminars

Programmes of our Research Seminars event series.

Research Seminars - 2024

Research Seminars in April

A short summary of the programme is available here.


April 25. 




1:00 - 2:30 pm


Philipp Koch, Researcher, EcoAustria - Institute for Economic Research, Vienna, Austria

Title:   From better understanding economic history through machine learning to shedding light on emissions and value-added in global value chains


Abstract: Quadrupling historical GDP per capita estimates through machine learning. Can we use data on the biographies of hundreds of thousands of historical figures to estimate the GDP per capita of countries and regions? Here we introduce a machine learning method to estimate the GDP per capita of dozens of countries and hundreds of regions in Europe and North America for the past 700 years starting from data on the places of birth, death, and occupations of hundreds of thousands of historical figures. We build an elastic net regression model to perform feature selection and generate out-of-sample estimates that explain 85% of the variance in known historical GDPs per capita. We use this model to generate GDP per capita estimates for countries, regions, and time periods for which this data is not available and validate them by comparing them with three proxies of economic output: body height in the 18th century, wellbeing in 1850, and church building activity in the 14th and 15th century. Additionally, we show our estimates reproduce the well-known reversal of fortune between southwestern and northwestern Europe between 1300 and 1800. These findings validate the use of fine-grained biographical data as a method to produce historical GDP per capita estimates. We publish our estimates with appropriate confidence intervals together with all collected source data in a comprehensive dataset.




Research Seminars in March

A short summary of the programme is available here.


March 20 




1:00 - 2:30 pm


István Herbály, CEO, Contrall Ltd.

Title:   Artificial Intelligence: basics of the technology and current issues


Artificial or "prothetic" intelligence?
Text or content generation?
What makes deep learning?
Will it become self-aware?
Will it take everyone's job?
How will it make money?
Repetition or independent creation?
Revolutionary solution or balloon?

These are just some of the questions about Artificial Intelligence that many of us ask ourselves when we read or hear something about this technology almost every day. The aim of the workshop is to build a common knowledge base, followed by a joint discussion of questions like the above.



Research Seminars in February

A short summary of the programme is available here.


February 22 




1:00 - 2:30 pm


Rita Fekete, research-support librarian, University of Pécs, Library and Knowledge Centre

Title:    Responses to the challenges of a research career: focus on researcher visibility


With the pressure on academics to publish, a perhaps less familiar competitive situation has emerged in academia. In the pursuit of results, it is easy to find ourselves in a maze, where it becomes increasingly difficult to navigate the administrative obligations that pile up. In my presentation, I focused on the reasons for scientific visibility: why is international visibility important, why has it come to the fore and what benefits can we expect from it? My aim is to present the databases and tools available to us to achieve the highest visibility.
Issues: Why has scientific visibility become a priority?
What are the benefits for the publishing researcher?
What is the difference between bibliographic databases and community science platforms?
When and why should they be used?
How can I manage my author profiles?
Introduction and possibilities of Scopus and Web of Science.
Introduction and possibilities of Researchgate and
A good practice from Utrecht University: Research Visibility Check
What can the library help you with: what services do we have, who can you contact and for what?



Kutatói Szemináriumok Archívuma - 2023

Kutatói Szemináriumok programjai májusban


Május 18. 




13:00 - 14:30


Esteban Lafuente, PhD,  Full professor, Department of Management, UPC

Előadás témája:   A composite indicator analysis for optimizing entrepreneurial ecosystems.


Abstract: We employ the ‘benefit of the doubt’ approach rooted in non-parametric techniques to evaluate the entrepreneurial ecosystem of 71 countries for the period 2016. By scrutinizing the relative efficiency of countries’ entrepreneurial ecosystems, the proposed analysis of composite indicators allows the computation of endogenous (country-specific) weights that can be used for developing more informed policy making. The results show that countries prioritize different aspects of their national system of entrepreneurship which confirms that, contrary to homogeneous prescription, tailor-made policy is necessary if the objective is to optimize the resources deployed to enhance the countries’ entrepreneurial ecosystem. The findings of the empirical application reveal significant improvements in the quality of the entrepreneurial ecosystem can be realized by targeting the policy priorities of the local entrepreneurship system identified by the ‘benefit of the doubt’ weights. By analyzing the variation in economic and entrepreneurship outcomes over the seven-year period centered on the study year (period 2013–2019), we found a significant positive correlation between quality improvements in the entrepreneurial ecosystem and venture capital investments.



Kutatói Szemináriumok programjai áprilisban


Április 17. 




Egész napos


Dr. Florian Schubert, University of Twente

Előadás témája:   Structural Equation Modelling and its applications.


Kutatásmódszertani tréning: a PLS-útelemzés módszeréről. A tréning egy rövid felvezetővel kezdődik, az alapok tisztázása, ezt követően pedig példákon keresztül mutatja be a modellépítés logikáját az elemzési eszköztár részeit.


Április 20.   B323/1 13:00 - 14:30

Dr. K. Hemachandran, Woxen University, India

Az előadás témája:   Basics of AI and ML and AI Applications in Business and Practice.


Abstract: Az Artificial Intelligence és Machine Learning informatikai eszközök elméleti alapjai, és felhasználási lehetőségeik a közgazdaságtan területén. A Woxen University's AI Machine Learning Research Centre: a Központan folyó kutatások bemutatása.



Április 27.   B323/1 13:00 - 14:30

Gyimesi András, Dr. Kehl Dániel, Dr. Kruzslicz Ferenc, PTE /KTK.

Az előadás témája:   Association rule mining and Market Basket Analysis.


Abstract: In this session the concept of association rules data mining tools is discussed, which is a form of local-pattern discovery in an unsupervised learning system. Association rules are used to uncover relationships between inherently unrelated data items. We mention and explain some of the most well-known algorithms and measures (support, lift, confidence). Different possible visualisation and implementation tools are shown. MBA is used for retail data analysis to explore customer purchasing patterns. We show an application on data of a major Hungarian fuel company. We also show how the outputs can be represented as networks and analysed this way.