The Big Data Analytics Research Unit looks at the opportunities offered by analyses of Big Data . Read more about the focus of this research group.
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Digital sensors, the Internet of Things and social platforms are among the phenomena which nowadays generate a constant stream of new data. As the volume of this data increases at an ever-faster pace, more and more use is being made of Big Data analyses, which allow an unprecedented potential to be exploited in many areas of the economy. However, the generation and meaningful use of this wealth of information requires special technologies, approaches and systems. Our Big Data Analytics team tackles various aspects of Big Data with a focus on economic issues.
Special Focus
We specialise in the processing of structured and unstructured data generated by new methods and technologies. These include internet search queries, content from websites (job advertisements, invitations to tender, newspapers, prices) and information from social media.
Application to economic issues of Big Data methods such as machine learning with deep learning, data mining, natural language processing, time series analysis, etc.
Application of Big Data to business cycle research
Augmenting official statistics, for example for the labour market
Data economics including context-dependent economic analysis of law
Examples of current research
The Big Data Cooperation Cluster uses a wide range of analytical methods and approaches. In principle, Big Data methods can be applied to all pertinent economic issues. A typical example is the use of text analysis to analyse networks as in the case given here referring to the German players in Covid 19 research.
Data Utilisation and Data Sharing:
The Potential and the Reality in German Companies
Dennis Bakalis / Jan Büchel
Companies that store their data extensively in digital form, process it in a structured manner and use it in a variety of ways can become particularly efficient members of the data economy.
how the patent system is shaping the future in the data-driven economy
External Publication
29. May 2024
Intellectual property and fourth industrial revolution technologies:
how the patent system is shaping the future in the data-driven economy
Armin Mertens / Marc Scheufen in European Journal of Law and Economics
Using the classification system from the European Patent Office (EPO), we identify almost 600,000 patent applications for fourth industrial revolution technologies from 1986 to 2015.
Armin Mertens / Marc Scheufen in European Journal of Law and Economics
IW
The Law and Economics of the Data Economy: Introduction to the Special Issue
External Publication
27. May 2024
The Law and Economics of the Data Economy: Introduction to the Special Issue
Thomas Eger / Marc Scheufen in European Journal of Law and Economics
This article intends to provide a framework to better understand the economic problems and legal challenges resulting from the transition of the European economy to a data economy.
Thomas Eger / Marc Scheufen in European Journal of Law and Economics
IW
Special Issue:
The Law and Economics of the Data Economy
Thomas Eger / Marc Scheufen (Eds.) in European Journal of Law and Economics
This special issue on “The Law and Economics of the Data Economy” for the “European Journal of Law and Economics” collects 8 contributions from 15 authors of 7 countries (Belgium, Hungary, Italy, France, Germany, Switzerland and USA).
Thomas Eger / Marc Scheufen (Eds.) in European Journal of Law and Economics
IW
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