The modeling of social systems has recently attracted a renewed attention as a result of the Data Science revolution. Ideally, we would like to develop tools and methods that allow in-silico simulations of real-world societal scenarios and systems. To this end, it is imperative to inform models with as much details as possible about human behavior at various scales.  This constitutes nowadays a challenge due to our current limited knowledge of the laws describing most human behavioral responses. In this talk, we describe recent advances in this direction by discussing the results of several experiments involving humans -in some  cases a few, in others hundreds- playing a diversity of social dilemmas.  We also identify the experimental (data) and theoretical challenges in the study of technosocial systems, and propose a way to tackle such problems.