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- PublicationAccès libreDéfendre la liberté académique(Regroupement Des Universitaires, 2019-01-27)
- PublicationRestriction temporaireAdvanced analytics for surface extraction(SpringerLink, 2022-01-01)Nowadays, approximately 90% of the minerals are extracted using surface mining methods. Surface mining is the process of extracting minerals located at the surface or near the surface. Although at least nine different surface mining methods have been introduced thus far, open pit and strip mining have the highest contribution in raw material extraction from Earth. Deposits that are being mined using these two methods are substantially expensive, both in the capital and operational costs requiring several managerial decisions to be made for the sake of lowering proportions of the total costs. Analytics has had an inevitable role in this matter. It has been involved in the decision-making procedures from method selection to finding the best location for in-pit crushers in surface mines. This chapter elaborates on how analytics contribute to different steps of extracting material using surface mining methods.
- PublicationAccès libreDe Big Deal à Big Brother : l’évolution des cadres médiatiques sur l’usage des renseignements personnels en politique québécoise(Presses de l'Université du Québec, 2022-06-08)
- PublicationRestreintDecomposing and interpreting spatial effects in spatio-temporal analysis : evidences for spatial data pooled over time(Springer, 2018-01-01)Empirical applications using individual spatial data pooled over time usually neglect the fact that such data are not only spatially localized: they are also collected over time, i.e. temporally localized. So far, little effort has been devoted to proposing a global way for dealing with spatial data (cross-section) pooled over time, such as real estate transactions, business start-up, crime and so on. However, the spatial effect, in such a context, can be decomposed in two different components: a multidirectional spatial effect (same time period) and a unidirectional spatial effect (previous time period). Based on real estate literature, this chapter presents different spatio-temporal autoregressive (STAR) models and shows how spatial econometrics models can be extended for empirical investigation. Using a Monte Carlo experiment, we underline the effect of neglecting the decomposition of the spatial effect on the bias of the autoregressive coefficients as well as on the interpretation of the marginal effect. An empirical experiment using apartment sales in Paris between 1990 and 2003 supports the global results obtained through the Monte Carlo experiment.
- PublicationRestreintHip-hop music and teens from Haiti’s gonaïves commune(Centre Urbanisation Culture Société, 2022-01-18)Hip-hop culture has become an alternative culture for adolescents from lower-icome neighbourhoods in some Haitian cities, especialy in Raboteau, in Gonaïves commune. In this article, social learning is used as a theoretical lens for investigating the influence of hip-hop music on a group of adolescents in Gonaïves, through semi-structured interviews of fifteen teens between the ages of fourteen and nineteen. Through an in-depth analysis of the transcripts of these interviews, we describe how hip-hop music influences the behaviour of teens in Haiti’s lower-income enclaves. Findings reveal that hip-hop is an omnipresent factor in the lives of Haitian teens, impacting the way they dress and speak and even their worldview.