From 25 to 29 November 2019 Matheus E. Leusin attended the doctoral course "An applied introduction to machine learning for social science and humanities scholars" at Aalborg University in Denmark. The course imparted knowledge about concepts and fields of application in the field of data science taking into account different data types.

In view of the growing importance of "big data" in the course of increasing data availability of websites, social media and electronic applications, the possibilities of making this data usable for science are increasing. At the same time, increasing computing power and algorithms of artificial intelligence offer the possibility to adequately capture and analyze the huge volume of data. The doctoral course specifically covered the topics "Exploratory Data Analysis" and "Unsupervised Machine Learning", "Network Analysis", "Block Modelling", “Text as Data” and "Web Scrapping".

Matheus E. Leusin is a member of the Diginomics Graduate Group of the Faculty of Business Studies and Economics at the University of Bremen. He conducts research on the worldwide development and dissemination of artificial intelligence on the basis of patent and publication data. He will use the knowledge gained in the doctoral course for the analysis of patent and publication text data (e.g. Natural Language Processing). The methods taught in the course will also allow him to analyze future patent and publication behavior, e.g. through monitored machine learning. In addition, he will be able to generate new data from previously inaccessible sources through advanced methodological knowledge in the field of web scraping.