Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…

This paper presents an application of the Kalman filter in signal processing in instrumentation systems when the conditions of the environment generate a large amount of interference for the acquisition of signals from measurement systems. The unwanted interferences make important use of the instrumentation system resources and do not represent…

This paper focuses information literacy (IL) from a methodological perspective, addressing quantitative IL measures, suitable for evaluating the role of IL in supporting work activities. So far, IL in workplace contexts has mostly been studied using qualitative methods, designed for studying situational and context-dependent practices. Therefore…