4 documents found, page 1 of 1
How to measure political polarization in text-as-data? A scoping review of comp...
Pereira, C.; Silva, R. da.; Rosa, C.The rise of political polarization within western societies has been portrayed by events such as the United States Capitol riot or the United Kingdom’s exit from the European Union. In this context, we argue that computational social science (CSS) methods offer a scalable and language- independent fashion to measure political polarization, enabling the processing of big data. In this vein, this article offers t...
Stretching the peace: The role of Kundalini yoga in the lives of young people i...
Kaehkoenen, S.; Silva, R. da.The purpose of this exploratory study was to underline the importance of a humanistic approach to peace studies against a scenario characterized by the failings and weaknesses of the liberal peacebuilding agenda. To do so, we employ a transrational peace research framework to investigate whether Kundalini yoga can be used as a peacebuilding tool by analyzing its role in the lives of young people living in an Al...
Statebuilding beyond the West: Exploring Islamic State’s strategic narrative of...
Silva, R. da.; Bamber-Zryd, M.; Lemay-Hébert, N.Strategic narratives are employed by political actors as tools to pursue their goals, constructing a shared meaning of the past, present, and future in order to shape behaviour. Building on discourse analysis of the magazine Dabiq and from in-depth, semi-structured interviews conducted between 2018 and 2019 with IS civilian employees and civilians living in IS-controlled territory, we analyse how IS organised i...
Reinforcement learning-based control of traffic lights in non-stationary enviro...
Oliveira, D. de.; Bazzan, A. L. C.; Silva, B. C. da.; Basso, E. W.; Nunes, L.; Rossetti, R.; Oliveira, E. de.; Silva, R. da.; Lamb, L.Coping with dynamic changes in traffic volume has been the object of recent publications. Recently, a method was proposed, which is capable of learning in non-stationary scenarios via an approach to detect context changes. For particular scenarios such as the traffic control one, the performance of that method is better than a greedy strategy, as well as other reinforcement learning approaches, such as Q-learni...