Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“

Statistics as a subject has to sustain its position in a fast changing environment which is characterized by the rise of Data Science, the growth of the importance of Artificial Intelligence and the emergence of new Data Structures. How can Statistics keep its position or even regain lost territory? Under the provoking motto “Make Statistics great again” we sketch under different views developments, strategies and positive examples, how the subject statistics can evolve at universities, in scientific competition and at the labor market. Willi Seidel comments the competition of subjects for resources from the viewpoint of the head of a university. Christine Müller reports the initiatives of the DAGStat umbrella organization, to promote the different subbranches of statistics in the scientific competition and in the public view. Florian Meinfelder documents the rise of the master program of Survey Statistics to one of the most requested master programs at the university of Bamberg. Jürgen Chlumsky and Markus Zwick report the public notion of mandatory surveys of official statistics as well as the development of research data centers and alternative access to new data sources. Joachim Wagner comments the relationship of data producers and data users from the view of a discontent data analyst. Finally, the position of statistics in the subject data science is discussed. Is the term “Data Science” only a modern phrase for statistics? A White Paper of the Gesellschaft für Informatik (GI) has provoked two position papers of the DStatG and the DAGStat which are presented by Ulrich Rendtel. The colloquium took place at the farewell lecture of Ulrich Rendtel at the Economic Faculty of the Freie Universität Berlin in June 2019.