Abstract
The vast amount of digital data we create and collect has revolutionized many scientific fields and industrial sectors. Yet, despite our success in harnessing this transformative power of data, computational and societal trends emerging from the current practices of data science necessitate upgrading our toolkit for data analysis. In this talk, we discuss how practical considerations such as privacy and memory limits affect statistical inference tasks.