In today's globalised trade, supply chains form complex networks spanning multiple organisations and even countries, making them highly vulnerable to disruptions. These vulnerabilities, highlighted by recent global crises, underscore the urgent need for improved visibility and resilience of the...

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 work introduces a novel method for sentiment analysis in the stock market by combining Deep Neural Networks (DNN) and an improved Firefly Algorithm (FA). It is essential to comprehend investor sentiment in financial markets in order to forecast stock price movements and make wise investment...