The availability of micro-level behavioral data creates collaboration opportunities for company researchers, social scientists, and data scientists. Big data makes innovative projects possible and opens opportunities for investigations that can yield deeper insights into and understanding of human motivation, consumer choices, social phenomena, and the micro-level impact of business activities (Lin 2015). For instance, many psychological theories are simple models with merely two dimensions such as the regulatory focus theory (promotion focus versus prevention focus) or the elaboration likelihood framework (strong elaboration versus weak elaboration) that have been used in information systems research in recent years. These simple theoretical models are largely based on observations and abstractions from small data. Careful analysis of micro-level big data offers the opportunity for social scientists to develop more complex (and realistic) psychological models with useful implications of behavior. If success is demonstrated, this will likely lead to a major disruption to social sciences and for social scientists, who will need to upgrade their toolsets and mindsets.