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The increasing availability of high-dimensional and fine-grained data about human behaviorin the form of digital footprints from online repositories and data traces from high-frequencymobile sensing studies, is about to drastically alter the way personality psychologists performresearch and personality assessment. The new opportunities to collect these kinds of dataraise crucial questions about how to best analyze and interpret them. Besides the potentialto model complex relationships in data,doi:10.31234/osf.io/efnj8 fatcat:qf42ouyrizc5dhgx6molrhgp4q