Innovations in big data and algorithms are enabling new approaches to target interventions at scale. We compare the accuracy of three different systems for identifying the poor to receive benefit transfers - proxy means-testing, nominations from community members, and an algorithmic approach...

Algorithms are increasingly used to aid with high-stakes decision making. Yet, their predictive ability frequently exhibits systematic variation across population subgroups. To assess the trade-off between fairness and accuracy using finite data, we propose a debiased machine learning estimator...

In this paper, we propose a multistep algorithmic method that enables us to determine the seat allocation for the European Parliament on a permanent basis applicable across various scenarios, including different numbers of Member States and their population sizes. According to the Lisbon Treaty,...

In this paper, we propose a multistep algorithmic method that enables us to determine the seat allocation for the European Parliament on a permanent basis applicable across various scenarios, including different numbers of Member States and their population sizes. According to the Lisbon Treaty,...

This report presents new evidence on the platformisation of work in the European Union, examining the prevalence and potential impacts of digital tools, digital monitoring and algorithmic management. The report is based on data from the new AIM-WORK survey, conducted in 2024-2025 and...

This report presents some recent developments on the visualization of fluid pressures and other fluid field properties acting on structures resulting from numerical simulations using Fluid-Structure Interaction (FSI) algorithms of the embedded type in the EUROPLEXUS code. The EUROPLEXUS code...

This study examines the application of machine learning models to predict financial performance in various sectors, using data from 21 companies listed in the BIST100 index (2013-2023). The primary objective is to assess the potential of these models in improving financial forecast accuracy and...