Computer simulators are proving to be indispensable education tools as they enable their users to readily apply theoretical knowledge and to automatically receive immediate feedback, which is invaluable both to learners and to their instructors. Yet at present, there is virtually no publically...

This paper demonstrates how quality of life can be measured by plain text in a representative survey, the German Socio Economic Panel study (SOEP). Furthermore, the paper shows that problems that are difficult to monitor, especially problems like the state of the European Union, long-term...

While linking records across large administrative datasets ["big data"] has the potential to revolutionize empirical social science research, many administrative data files do not have common identifiers and are thus not designed to be linked to others. To address this problem, researchers have...

Im Interview mit ChatGPT geht es um den Einsatz von Künstlicher Intelligenz (KI) an Hochschulen, z. B. wie KI in der Lehre eingesetzt werden kann, um Lernprozesse zu verbessern und Studierende zu unterstützen, wie KI in der Forschung genutzt werden kann, um die Effizienz von Prozessen zu...

We present the R package trajeR which provides all necessary tools to calibrate generalized finite mixture models, plot the results graphically and test the model adequacy.First, we give an overview of the generalized finite mixture model for clustering time series and describe the core function...

The SearchEngine is an open source project providing an integrated framework for diverse matching activities, especially the linkage of large scale firm data by fuzzy criteria like company names and addresses. At its core, it utilizes an efficient candidate retrieval mechanism implementing a...

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that...

When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps,...

This article presents a comprehensive approach to probabilistic linkage of German company data using Machine Learning and Natural Language Processing techniques. Here, the long-running ifo Institute surveys are linked to financial information in the Orbis database by addressing the unique...

Accurately classifying products is essential in international trade. Virtually all countries categorize products into tariff lines using the Harmonized System (HS) nomenclature for both statistical and duty collection purposes. In this paper, we apply and assess several different algorithms to...