Lista de Projetos

The research project focused on the development of an advanced system aimed at predicting emergency department demand by considering various criteria such as weather conditions, seasonal patterns, and other relevant factors. The primary objective was to leverage historical data and predictive modeling techniques to forecast the expected influx of patients into emergency departments. By integrating weather data, seasonal trends, and other pertinent parameters, the system sought to generate accurate predictions that would enable healthcare facilities to proactively allocate resources and plan for potential surges in demand. The project aimed to bridge the gap between data-driven forecasting and emergency department management, empowering healthcare providers to optimize their staffing levels, streamline workflows, and ensure timely and appropriate patient care. Ultimately, the system aimed to enhance emergency department preparedness and improve overall patient outcomes

The research project focused on the development of an algorithm aimed at automating incident categorization. The primary objective was to create a robust and intelligent system capable of classifying incidents into predefined categories accurately. By analyzing historical incident data, identifying patterns, and leveraging machine learning techniques, the project aimed to develop an algorithm that could automatically assign incidents to appropriate categories based on their characteristics and attributes. The algorithm's goal was to reduce the manual effort and subjectivity involved in incident categorization, leading to more consistent and efficient incident management. Through iterative training and validation, the algorithm aimed to continually improve its accuracy and adaptability to new incident types. The project aimed to bridge the gap between manual categorization and automated classification, contributing to streamlined incident management processes and enhanced decision-making within the organization.

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Ao promover a melhoria das competências de uma nova geração de jornalistas europeus, o NEWSREEL pretende contribuir para o reforço de uma esfera pública comum na Europa através da promoção de projetos de jornalismo colaborativos e transnacionais, que sejam capazes de tornar tangíveis e inteligíveis as grandes quantidades de dados disponíveis, e que se baseiem em estratégias comerciais sustentáveis e em sólidas fundações éticas e deontológicas. O projeto irá focar-se em 4 campos profissionais: O jornalismo apoiado por computador (jornalismos de dados) e visualização de dados; Novas estratégias de negócio e novos modelos de jornalismo; Jornalismo colaborativo; e Desafios éticos derivados da esfera pública digital.