Data Science

The SCALES – OKN (Systematic Content Analysis of Litigation EventS Open Knowledge Network) team is composed of data scientists, legal scholars, journalists and policy experts, to develop a suite of tools to enable access to court records and analytics. Our work is focused on building an AI powered data platform that makes the details of the federal judiciary and insights into how it works available and accessible to every single person.

We used machine learning models to predict possible changes in the structure of transportation networks due to climate change. A team in Professor Luís A. Nunes Amaral’s lab simulated the impact of losing 67 percent of direct air routes

Transportation networks play a critical role in human mobility and the exchange of goods, but they are also the primary vehicles for …

Countries become global leaders by controlling international and domestic transactions connecting geographically dispersed production …

Urban scaling theory explains the increasing returns to scale of urban wealth indicators by the per capita increase of human …

Many systems of scientific interest can be conceptualized as multipartite networks. Examples include the spread of sexually transmitted …

Summarized by the efficient market hypothesis, the idea that stock prices fully reflect all available information is always confronted …

Tremendous advances have been made in our understanding of the properties and evolution of complex networks. These advances were …

Human mobility has a significant impact on several layers of society, from infrastructural planning and economics to the spread of …

Nestedness has traditionally been used to detect assembly patterns in meta-communities and networks of interacting species. Attempts …