The digital economy calls for a reading that brings technology, incentives and institutions together. Data, software and knowledge take part in the creation of value, but they also change contracts, forms of competition, relationships of dependence and users’ rights. That is why a decision about data collection, system architecture or platform design produces effects that go beyond the technical operation of the solution.
This series grew out of the Digital Economy and Digital Law courses I teach in the Information Systems programme at the Federal University of Alagoas. The aim is to present economic concepts in an accessible way, without losing the rigour needed to relate them to concrete problems of systems development, organisational management and public policy design.
The topics also lend themselves to empirical investigation. Graph theory and social network analysis make it possible to map relationships, flows, centrality and influence. Network externality models help examine how the arrival of new users changes the value of a service. The literature on multi-sided platforms studies the interaction between distinct groups, price formation and cross-subsidies. In applications aimed at the digital economy, dynamic pricing combines information on supply, demand and behaviour, while time-series models such as ARIMA and LSTM can support demand forecasting and infrastructure planning. Econometric methods, among them difference-in-differences and regression discontinuity, are also useful for evaluating technology adoption, efficiency and impact.


In short, understanding the economics of information and networks makes it possible to evaluate digital products as systems of incentives, and not merely as sets of features. This perspective helps professionals and students reach decisions that are technically consistent, economically sustainable and legally responsible.