Big Data and Machine Learning applications
Active listening on social networks
Analysis and preparation of opinion surveys and polls
Analysis of individual behaviours from aggregated information
Basic and/or applied training in Statistics and Probability
Behavioural analysis through experimental economics
Development of models to predict the spatial and temporal distribution of species
Development of statistical methodologies for rapid and reliable detection of influenza epidemics
Electoral Behaviour Studies
Gender Analysis and Socioeconomic Impacts of Covid-19
Risk analysis
Spatial statistics applications
Spatial-temporal disease surveillance
Study of criteria to establish optimal pre-distributions for effective model selection
Study of longitudinal and survival data set models with temporal or survival species, with special emphasis on dynamic predictive objectives
Training in statistics and R programming language
Basic and/or applied training courses in Statistics and R Probability.
