figueirr – Laboratoire Informatique d’Avignon

ANR Eva project (Cornet)

1 September 2024

EValuating gender policies in academia through the Analysis of scientific collaboration networks The ANR EVA project is dedicated to addressing gender disparities within the realm of academia and research. Focused on the fields of computer science, political science, economics, and sociology, which align with our consortium’s research areas, EVA conducts an analysis of gender dynamics within the geographical scope of France and the broader European space. This project aims to contribute to the ongoing efforts to promote gender equality in the scientific community by objectively assessing the impact and effectiveness of gender-related policies and best practices on scientific publication activity. To bridge the gap between existing research on gender dynamics in collaboration networks and evolving policy landscapes, EVA adopts an interdisciplinary approach, bringing together researchers from political science and network analysis. This collaborative initiative produces a shared bibliometric dataset and maps gender policies and recommendations implemented by political institutions and the scientific community within the same specific temporal, disciplinary, and geographical context. This establishes a direct link between gender dynamics and policy initiatives. Methodologically, the EVA project introduces methods for anomaly detection and correction within co-authorship networks, enhancing the quality and accuracy of network analysis. It adheres to open science principles by Plus d'infos

PhD defense of Mario Costa Levorato – 13 May 2022

13 May 2022

I will defend my thesis titled ‘Scheduling Optimization Applied to the Oil Industry’ this Friday, May 13th at 2 p.m. The presentation will be in English and will take place in a hybrid mode: at the Universidade Federal Fluminense (Brazil) and via video conference (Google Meet). The video link is: https://meet.google.com/yqy-qsdr-jzb The jury will be composed of: Abstract: This thesis proposes new solution approaches for two important problems in the areas of energy, oil and gas, which involve uncertain input parameters.In the context of smart grids, the first problem addresses the reality of microgrids which trade energy with the main grid to either sell its production surplus (from renewable energy sources) or buy an additional amount to support local consumers’ demand. In this scenario, smart control devices are important elements, executing real-time energy scheduling according to fluctuations in production and consumption. As we might expect, the main grid’s power generation and supply becomes more unscheduled and risky as energy trading quantities oscillate over time. The first part of the work studies a flexible bilateral energy contract subscription framework, established between electricity suppliers and a client. The framework is coupled with a real-time command strategy (RTCS), suited for energy scheduling of Plus d'infos