Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary and "fiscal policy. We use the general framework of sequential predictions, also called online machine learning, to forecast...

This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free-form chat communication among firms in a laboratory experiment, we identify typical communication patterns for both explicit cartel formation and indirect attempts to collude...

Agencies that regulate providers of electricity often apply nonparametric data envelopment analysis (DEA) to assess the relative efficiency of each firm. The reliability and validity of DEA are contingent upon selecting relevant input variables. In the era of big (wide) data, the assumptions of...

The assessment of the legal professionals’ performance is increasingly important in the market of legal services to provide relevant information both to consumers and to law firms regarding the quality of legal services. In this article, we explore how computational indicators are produced to...

The main aim of this paper is to undertake an evaluation of many applications of artificial intelligence in Deep Excavations. [Citation Needed] In the construction sector, the use of artificial intelligence technologies is very much a go to option. Complex geotechnical issues are increasingly...

Space-related activities are being transformed by NewSpace innovations. The ongoing commercialization of the space sector offers a series of opportunities, from increased funding to support space exploration missions, to assisting with the mitigation of space debris, to digitalization and access...

Purpose – This work defines Generative Artificial Intelligence (Gen-AI) and discusses its conceptual foundations and developments in innovation research. It also sketches research propositions that contribute to a promising research agenda.Design/methodology/approach – The study consists of...

This article explores a data economy to study how privacy, automation, and artificial intelligence affect labor allocation, economic growth, and income distribution. We introduce three types of sector-specific data and postulate that raw data violate individual privacy but are used as a nonrival...

As hundreds of zettabytes of data are being generated by the bio-cyber-physical technologies of the Fourth Industrial Revolution (4IR), it has become untenable to argue that the law needs to introduce incentives to produce more data. Instead, as private corporations amass a wealth of data...

This article investigates the trends in the global law-making process as it relates to carbon capture and storage (CCS) and associated technology. It detects regulatory deficiencies and makes a case favouring robust global regulation of such technology in realizing climate aspirations. CCS is...