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Higher education institutions have been complicit with the ongoing coloniality project that reinforces and perpetuates inequities, dismisses interests, knowledges, alternative discourses, and world views different from Western European thought (Bell, 2018; Dastile & Ndlovu-Gatsheni, 2013; Harms-Smith & Rasool, 2020). Education is rooted in colonialism, which raises doubts about the feasibility of universities implementing a decolonial agenda (Dhillon, 2021). To contribute to the conversation about decolonial praxis and the documented efforts in the literature on how to enact a decolonial rehumanizing agenda, this paper presents a systematic literature review of works from the Global South that attempt to disentangle universities from colonial practices in higher education. The works reviewed describe a variety of practices from pedagogical practices, curriculum changes, and institutional connections with marginalized communities that make visible knowledges, languages, and perspectives traditionally excluded from universities.

This paper aims to evaluate and discuss the digital competence of academics at universities, to identify challenges and define recommendations for policy. This study was conducted through collaboration between the Joint Research Centre (JRC) of the European Commission and Metared of the Universia Foundation, surveying 30,407 participants who present the perceptions of their own digital competence levels. These self-reflections took place in universities in seven countries, namely Argentina, Brazil, Colombia, Chile, Peru, Mexico and Portugal, and used the Check-In tool, which consists of 22 questions based on the European Framework for the Digital Competence of Educators--or 'DigCompEdu' framework. A descriptive statistical analysis was performed, followed by a qualitative evaluation. Almost 70% of the academics have an average intermediate level of competence when the data is aggregated, with results varying in each DigCompEdu area according to the specific question asked. There is no significant difference between young and senior academics, as well as between men and women. The results present a discussion of whether the age and gender of educators and their work environment have an impact on their digital competence level, and at the same time highlights the areas in which educators perceive themselves to be most and least competent. It shows how the amount of institutional support that is offered affects the academics' perceptions of their level of digital competence. On the basis of the results, recommendations are presented for higher-education institutions, with the aim of supporting the professional development of their academics.

The objective of this paper is to suggest a mathematical model of unpaid housework and empirically test its main predictions using data from Mexico (2014) and Colombia (2017) time-use surveys. The model, based upon the Marxist-feminist approach, suggests that the magnitude of unpaid housework is determined by the super-exploitation of labor, i.e. the gap between wages and the value of labor-power. The outcome is an equation that relates positively the magnitude of unpaid housework with the super-exploitation of labor. The parametric and nonparametric regression estimates applied in both countries show preliminary empirical support for the theoretical model. The theoretical and empirical findings have several implications for Marxist-feminist literature as well as for empirical research on unpaid housework. [ABSTRACT FROM AUTHOR]

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We simulate the short- and long-term distributional consequences of COVID-19 in the four largest Latin American economies: Argentina, Brazil, Colombia, and Mexico. We show that the short-term impact on income inequality and poverty can be very significant, but that additional spending on social assistance more than offsets the effect in Brazil. The offsetting effect is significant in Argentina and Colombia and nil in Mexico, where there has been no such expansion. We find that a universal basic income that would have produced the same reduction in the poverty gap as actual policies would have cost slightly more but would have benefited the poor (the nonpoor) slightly less (more). To project the longterm consequences, we estimate the impact of the pandemic on school achievement and its intergenerational persistence. We use information on school closures, educational mitigation policies, and account for educational losses related to health shocks and parental job loss. Our findings show that in all four countries the impact is strongly asymmetric and affects particularly the high-school completion rates of children from disadvantaged families. Our simulations suggest that mitigation policies seem to have a minor impact on containing these negative effects. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this qualitative study is to compare the perceptions of employed people in Mexico and Colombia about managerial and leadership behavioural effectiveness. Design/methodology/approach: A qualitative multiple cross-case and cross-nation comparative analysis of findings obtained from the two past emic replication (Mexico and Colombia) studies was conducted. Findings: The study suggests that people within Mexican and Colombian organizations perceive "managerial and leadership behavioural effectiveness" in very similar ways. The findings support those researchers whose studies indicate that culture may not, as previously thought, play a significant role in the way managers should manage and lead their subordinates. Research limitations/implications: The authors acknowledge two main limitations related to the sample size and scope of the two compared sets of empirical source data. The number of critical incidents about perceived managerial behavioural effectiveness obtained from the two compared studies was unbalanced (318 from the Mexican study and 267 from the Colombian study). Thus, the authors suggest more indigenous replication managerial behaviour studies be carried out in both Mexico and Colombia with the objective of identifying (if possible) the existence of critical incidents that could lead to different findings. Furthermore, the authors suggest conducting replica studies focused on specific industries rather than a diverse range of organizations to test the generalizability of the findings. Practical implications: The findings of the comparative study are relevant to those human resource development professionals in international companies with operations in Mexico and/or Colombia when preparing their executives for international assignments in these Latin American countries. Originality/value: The comparative study attempts to generate new insights and better understanding within the context of "managerial and leadership behavioural effectiveness" research, which the authors hope will make a useful contribution to the existing small body of knowledge regarding similarities and differences in managerial practices across culturally diverse Latin American countries. [ABSTRACT FROM AUTHOR]

Background: In the Americas, endemic countries for Aedes-borne diseases such as dengue, chikungunya, and Zika face great challenges particularly since the recent outbreaks of CHIKV and ZIKV, all transmitted by the same insect vectors Aedes aegypti and Ae. albopictus. The Special Program for Research and Training in Tropical Diseases (TDR-WHO) has developed together with partners an Early Warning and Response System (EWARS) for dengue outbreaks based on a variety of alarm signals with a high sensitivity and positive predictive value (PPV). The question is if this tool can also be used for the prediction of Zika and chikungunya outbreaks.Methodology: We conducted in nine districts of Mexico and one large city in Colombia a retrospective analysis of epidemiological data (for the outbreak definition) and of climate and entomological data (as potential alarm indicators) produced by the national surveillance systems for dengue, chikungunya and Zika outbreak prediction covering the following outbreak years: for dengue 2012-2016, for Zika 2015-2017, for chikungunya 2014-2016. This period was divided into a "run in period" (to establish the "historical" pattern of the disease) and an "analysis period" (to identify sensitivity and PPV of outbreak prediction).Results: In Mexico, the sensitivity of alarm signals for correctly predicting an outbreak was 100% for dengue, and 97% for Zika (chikungunya data could not be obtained in Mexico); the PPV was 83% for dengue and 100% for Zika. The time period between alarm and start of the outbreak (i.e. the time available for early response activities) was for Zika 4-5 weeks. In Colombia the sensitivity of the outbreak prediction was 92% for dengue, 93% for chikungunya and 100% for Zika; the PPV was 68% for dengue, 92% for chikungunya and 54% for Zika; the prediction distance was for dengue 3-5 weeks, for chikungunya 10-13 weeks and for Zika 6-10 weeks.Conclusion: EWARS demonstrated promising capability of timely disease outbreak prediction with an operational design likely to improve the coordination among stakeholders. However, the prediction validity varied substantially across different types of diseases and appeared less optimal in low endemic settings. [ABSTRACT FROM AUTHOR]