Economics has long evolved intertwined with data processing technologies. From econometrics’ statistical inference to the experimental revolution’s causal identification, methodological refinement has driven disciplinary deepening. Now, data science marks a turning point: massive unstructured data and complex computational models create a new empirical foundation and require reconstructing traditional research paradigms. In this context, the intersection of economics and data science transcends one-way tech application, enabling a creative integration of research paradigms—economics’ theoretical frameworks and causal inquiries provide data science with problem orientation and value core, w...