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Abstract: “The use of student learning data to predict educational outcomes has been widely studied, both in terms of model performance and fairness. An example of these predictive models is the use of Early Warning Systems (EWS), which identify students at risk of dropping out.

Abstract: “Social networks shape individuals’ lives, influencing everything from career paths to health. This paper presents a registry-based, multi-layer and temporal network of the entire Danish population in the years 2008-2021.

What is the efficacy of redrawing school attendance boundaries as a desegregation policy? To provide causal evidence on this question …

Evidence links greenspace exposure with restorative benefits to cognition and well-being, yet nature contact is declining for younger …

Ambient temperatures are rising worldwide, with the greatest increases recorded at night. Concurrently, the prevalence of insufficient …

Big data enables researchers to closely follow the behavior of large groups of individuals by using high-frequency digital traces. …

Increasingly, human behavior can be monitored through the collection of data from digital devices revealing information on behaviors …

Understanding which transportation modes people use is critical for smart cities and planners to better serve their citizens. We show …

In this study, we monitored 470 university students’ smartphone usage continuously over 2 years to assess the relationship between …

This paper investigates endogenous network formation by heterogeneous agents. The agents’ types determine the value of linking …