Abstract: Stochastic time series methods for load forecasting are the traditional methods used by electric power companies [1] because they can model seasonal and stochastic behavior of the load [2]. A load time series has patterns that repeat at different time scales such as daily, weekly or yearly. These patterns indicate that load can be predicted and the shortest seasonality component has the highest effect on the forecast. There might be conditions in which load is in different time resolutions, has a different amount of missing data or is under special events such as COVID-19 pandemic. Load forecasting methods should be able to perform well under these circumstances. On the other hand, neural networks are a wide research topic, they can learn [3] and have low forecasting errors [4]. In this work we explain the main characteristics of load demand in time, load forecasting and we compare stochas-tic time series methods with neural networks for load forecasting in terms of the error with respect to the real load. Resumen: Los métodos de series de tiempo estocásticos para pronósticos de carga son los métodos tradicionales usados por compañías de energía eléctrica [1] porque pueden modelar el comportamiento estocástico y estacional de la carga [2]. Una serie de tiempo de carga tiene patrones que se repiten en diferentes escalas de tiempo como diaria, semanal o anual. Estos patrones indican que la carga puede ser predicha y que el componente de estacionalidad más corto tiene el efecto más grande en el pronóstico. Pude que haya condiciones en las cuales la carga este en diferentes resoluciones de tiempo, tenga una diferente cantidad de datos faltantes o este bajo eventos especiales como la pandemia COVID-19. Los métodos de pronóstico de carga deberían ser capaces de llevarse a cabo bien bajo estas circunstancias. Por otra parte, las redes neuronales son un tema de investigación amplio, ellas pueden aprender [3] y tienen errores de pronóstico bajos [4]. En este trabajo explicamos las principales características de la demanda de carga en el tiempo, pronósticos de carga y comparamos métodos de serie de tiempo estocásticos con redes neuronales para pronósticos de carga en términos del error con respecto a la carga real. [1] H. Wang, B.-S. Li, X.-Y. Han, D.-L. Wang and H. Jin, "Study of Neural Networks for Electric Power Load Forecasting," Third International Symposium on Neural Networks - Advances in Neural Networks - ISNN 2006, Proceedings, Part II, pp. 1277-1283, 2006. [2] K. Berk, Modeling and Forecasting Electricity Demand, Siegen: Springer Spektrum, 2015. [3] H. Alfares and N. Mohammad, "Electric load forecasting: Literature survey and classification of methods," International Journal of Systems Science - IJSySc. 33, vol. 33, no. 1, pp. 23-34, 2002. [4] M. Singh and R. Maini, "Various Electricity Load Forecasting Techniques with Pros and Cons," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, pp. 220-229, 2020.

Abstract: Latin America continued to experience social, economic and political turmoil in 2021. The vulnerabilities set by preexisting conditions such as persistent inequality, a high level of labour force participation in the informal economy, and exclusionary social protection systems have been exacerbated by recent health and humanitarian crises that are unprecedented in the region’s modern history. These crises have significantly affected socioeconomic indicators, reflected in the increased levels of vulnerability and poverty, combined with stagnant economic growth. Public sector responses have been made but have been insufficient to cushion the effect of these multiple crises and, in many cases, have revealed the extent of governments’ fiscal conservatism that limited the role of the state in providing adequate support to its citizens. The chapter explores efforts to tackle the effects of compounded deprivation in terms of spatial segregation, a pervasively high informal labour force, gendered and racialized vulnerabilities and the education crisis, and explores the options that governments in the region face in terms of reversing the adverse effects of the coronavirus disease (COVID-19) pandemic, while sustaining the economic recovery. In a context of polarized political participation, discontent will inevitably lead to contention and, in some cases, instability and violence, if the governments choose to ignore the need for a socially just recovery.

Abstract: The promotion of education as a human right became part of the discourse of international aid agencies and banks since the end of WWII. Consequently, studies of development have examined the conditions under which education becomes a driver of socio-economic progress under three theories: “modernization”, “human capital”, and “dependency”. Previous research has not agreed on the impact of education on inequalities and mainly adopted a quantitative approach. This dissertation implements a mixed-methods approach to examine context-specific variables in comparative education with the “dependency” theory. The outbreak of COVID-19 in 2020 generated great losses in human capital accumulation. In Latin America, one of the most unequal regions in the world, the impact of school disruption increased drop-out rates and forced governments to generate measures to mitigate learning losses. This dissertation examines through a comparative analysis to what extent remote learning policies implemented during COVID-19 reduced inequality gaps in Chile and Colombia, with a particular focus on secondary education. Moreover, as intervening variables, it selects two neoliberal characteristics: privatization and government intervention. Colombia and Chile implemented multimodal education policies during COVID-19. However, in Colombia, school closures lasted longer than in Chile. The PISA exam forecast of the World Bank also suggests that education inequality gaps in secondary education increased after the pandemic, with greater inequalities in Colombia. Moreover, the Gini coefficient shows that Colombia has been more unequal than Chile before and after COVID-19. Lastly, the analysis of the intervening variables shows that remote learning policies were unable to reduce inequalities and mainly favoured private institutions and urban areas. Finally, as part of the lessons, this research suggests that the neo-liberal characteristics of both countries marked a difference in the implementation of policies. Moreover, the lack of information incentivised the adoption of good practices that become suitable policy alternatives when adapted to local needs. Lastly, this research evidences the need for LAC to include technological tools in their education systems to respond to future crises.

Abstract: Purpose: The aim of this study is to understand the role performed and the challenges faced by emergent groups and spontaneous volunteers during the response of Covid-19 emergency. Moreover, this study seeks to examine if structural social capital wealth is related or no with spontaneous volunteerism during Covid-19 outbreak. To be able to assess and compare if the variation between bonding, bridging and linking social networks from place to place impact volunteers´ management the study will be conducted in United Kingdom and Colombia. Design/methodology/approach: This study comprises of qualitative and quantitative methodological approaches. A comprehensive literature review was undertaken alongside an online survey with volunteers in Colombia and United Kingdom and online interview. Analyze survey results: Descriptive statistics, t-test and data visualization and qualitative data analysis were implemented to. Findings: Spontaneous volunteerism during Covid-19 was not relate with structural social capital wealth. A centralized management and communication sharing can improve emergency response and volunteers' performance. The more common volunteering activity was food distribution and the biggest challenge was fear of contagion. Practical implications: The author provide insights to improve spontaneous emergency response in the future. In addition, present the excellent opportunity that official organizations are facing to formally work and train spontaneous volunteers. Originality/value: The author introduces a different of social capital and volunteering relationship. Additionally, offer suggestions to improve volunteers´ management from the strengthening of structural social capital.

Abstract: Latin America was in turmoil in 2019. Protests raged across different countries and against governments across the political spectrum. Widespread mobilisation from social organisations denounced corruption and voiced various demands, including greater political freedoms, better and affordable public services, and the urgent need to tackle corruption and inequality in Mexico, Guatemala, Nicaragua, Honduras, Venezuela, Colombia, Ecuador, Peru, Bolivia, Chile and Brazil. The region ended the year with unfulfilled promises of a new social pact, and the promise of intensified mobilisations.

1. Objeto y campo de aplicación -- 2. Referencias normativas -- 3. Términos y definiciones -- 4. Planificación y evaluación del riesgo -- 5. Casos sospechosos o confirmados de Covid-19 -- 6. Salud psicológica y bienestar -- 7. Inclusión -- 8. Recursos -- 9. Comunicación -- 10. Higiene -- 11. Uso del equipo de protección personal y cobiertas faciales -- 12. Operaciones -- 13. Evaluación del desempeño -- 14. Mejora

Apenas apareció la covid-19 la producción de información mediática se vio afectada por las restricciones de distanciamiento social y por los mismos peligros sanitarios que afrontaban los periodistas para cumplir su labor. Esta investigación tiene como objetivo conocer las transformaciones que se aplicaron en la producción de los noticieros televisivos en el Perú, uno de los países más golpeados por la pandemia a escala mundial. Para desarrollarla se aplicó la metodología cualitativa mediante entrevistas semiestructuradas a periodistas que ejercieron labores durante este periodo, y se obtuvieron resultados que revelan la aplicación de diversos dispositivos y procesos inhabituales o no televisivos. Esto fue transversal a las tres etapas de la producción audiovisual, que son la preproducción, la cobertura y la posproducción, situación que nunca antes se había aplicado con tanta intensidad y permanencia. Todo lo anterior permite establecer como conclusión que la producción de noticieros tuvo que recurrir a la hibridación de tecnologías y procedimientos para continuar ejecutando su labor en un contexto inesperado y complicado.

Abstract: The Covid-19 pandemic requires us to reframe ‘the kind of problem that a city is’ (Bettencourt, 2013, p.1). We argue that contemporary urban systems are not resilient and therefore plea for urban transformations. A resilient community is at the core of a resilient city. This requires new urban visions, polycentric planning and governance, as well as embracing diversity and non-compliance. Resumen: La pandemia de Covid-19 requiere que reformulemos "el tipo de problema que es una ciudad" (Bettencourt, 2013, p.1). Sostenemos que los sistemas urbanos contemporáneos no son resilientes y por lo tanto abogamos por transformaciones urbanas. Una comunidad resiliente es el núcleo de una ciudad resiliente. Esto requiere nuevas visiones urbanas, una planificación y una gobernanza policéntricas, así como la aceptación de la diversidad y la toma de responsabilidad.

Abstract: The objective of this study is to quantitatively estimate the probability of transmission of the SARS-CoV-2 virus inside the train carriage and to develop a simulation for the model based on the passenger demand for calculating the risk associated with origin-destination. The transmission rate of the virus in train carriage was analyzed using trip data from Pakenham Station to Flinders Street Station in Melbourne, Victoria, Australia, and the modified Wells-Riley model.

Frente a la supuesta afectacion de los derechos fundamentales de los tutelantes por no haber recibido ayudas economicas durante la pandemia el Consejo de Estado determino que no se han desconocido estas garantias en la medida en la que el Gobierno Nacio