We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

Machine Learning ist ein Forschungsfeld mit großen Potenzialen und weitreichenden Anwendungspotenzialen. Big Data kann dabei als Enabler angesehen werden, da große und qualitativ hochwertige Daten stets die Grundlage für erfolgreiche Machine Learning-Algorithmen und -Modelle darstellen....

Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...

Scientific, political and bureaucratic elites use epistemic practices like “big data analysis” and “web scraping” to create representations of the citizenry and to legitimize policymaking. I develop the concept of “demos scraping” for these practices of gaining information about...

KI-Modelle und Machine-Learning-Anwendungen halten Einzug in die alltägliche Praxis von Unternehmen und können mitbestimmt werden. Um die Interessen und Rechte der Beschäftigten zu berücksichtigen und zu schützen, sollten die aktuellen Regelungen in betrieblichen IT-Vereinbarungen...

This paper presents a theoretical conceptualization of the data economy that motivates more access to data for scientific research. It defines the semicircular flow of the data economy as analogous to the traditional circular flow of the economy. Knowledge extraction from large, inter-connected...

This story is inspired by the growing feasibility of Decentralised AutonomousCorporations (DACs), operating by means of distributed blockchain technologies. The story isset in the near future where a decentralised corporation - powered by machine-learningalgorithms and fed on an unending stream...

Purpose: This study finds the current and future trends of artificial intelligence techniques in financial industry. Design/methodology/approach: This study tried to find trends in application of AI to financial areas using news data over last three years of 2017 to 2019 to predict new...

In this article, we take forward recent initiatives to assess regulation based on contemporary computer technologies such as big data and artificial intelligence. In order to characterize current phenomena of regulation in the digital age, we build on Karen Yeung's concept of “algorithmic...

Purpose The purpose of this paper is to evaluate innovations in intellectual property rights (IPR) databases, techniques and software tools, with an emphasis on selected new developments and their contribution towards achieving advantages for IPR management (IPRM) and wider social benefits....