This paper introduces a special issue of International Migration Review and overviews the
promise and limitations of organic data for migration research. We explain different …

Computational social science provides an innovative set of methodological tools that can
help answer questions of substantive interest to migration and integration research. In this …

Veracity is a critical dimension of Big Data, as it is related to the quality of data. Its role is
even more important when Big Data are supposed to be a counterpart or a substitute of …

The consensus in the literature on providing accurate inflation forecasts underlines the
importance of precise nowcasts. In this paper, we focus on this issue by employing a unique …

Public health surveillance is the ongoing systematic collection, analysis and interpretation of
data, closely integrated with the timely dissemination of the resulting information to those …

Social media represent an excellent opportunity for the construction of timely socio-
economic indicators. Despite the many advantages of investigating social media for this …

Big Data are a “big challenge” for finite population inference. Lack of control over data-
generating processes by researchers in the absence of a known random selection …

Surveillance and research data, despite their massive production, often fail to inform
evidence-based and rigorous data-driven health decision-making. In the age of infodemic …

This research outlines the process of building a sample frame of US SMEs. The method
starts with a list of patenting organizations and defines the boundaries of the population and …

Too much data? Too much information? The COVID-19 pandemic has made the case. The
WHO coined the term 'infodemic'to describe the issue of overabundance of information …