There is a need of ensuring that learning (ML) models are interpretable. Higher
interpretability of the model means easier comprehension and explanation of future …

In healthcare, digital solutions have been adopted with zeal, but there is paucity of evidence
for benefits and harms of these solutions. The impact, immediate or long term, of digital …

Driven by data proliferation, digital technologies have transformed the marketing landscape.
In parallel, significant privacy concerns have shaken consumer–firm relationships …

This paper reviews the economic literature on the European Union's General Data
Protection Regulation (GDPR). I highlight key challenges for studying the regulation …

The use of big data in various fields has led to a rapid increase in a wide variety of data
resources, and various data analysis technologies such as standardized data mining and …

Abstract Background The General Data Protection Regulation is a regulation in EU law on
data protection and privacy in the European Union. We aimed to provide an overview of the …

Online testing holds great promise for infant scientists. It could increase participant diversity,
improve reproducibility and collaborative possibilities, and reduce costs for researchers and …

Advances in reinforcement learning and implicit data collection on large-scale commercial
platforms mark the beginning of a new era of personalization aimed at the adaptive control …

Biobanking is entering the new era—era of big data. New technologies, techniques, and
knowledge opened the potential of the whole domain of biobanking. Biobanks collect …

Sharing and reusing research data present both opportunities and challenges for the
individual researcher, their organizations, and the entire research community, but the …