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Children with Autism Spectrum Disorder (ASD) can demonstrate a preference for using digital technologies which can represent a relative strength within the autism community. Such a strength would have implications for digitally mediated interventions and support for autism. However, research to date has not developed a methodology for assessing the capabilities of minimally verbal children on the autism spectrum with intellectual disability (ID) to use digital technology.

Six minimally verbal children with ASD and ID undertook an accessible assessment that identified what capabilities for interacting with a digital tablet device they could and could not demonstrate. Twelve brief assessments were demonstrated, including turning on the device, adjusting the volume, operating the camera, touching, tilting and rotating the screen.

Participants could be assessed on their digital capabilities. In this study, participants could largely touch and swipe the screen effectively and leave the app, but could not tilt and rotate the screen nor turn on the digital tablet device.

While the numbers were small, the findings indicate that the digital capabilities of this group can usefully be assessed. Future research can use such assessments to highlight how intervention effectiveness and support can be enhanced by matching the digital capacities of minimally verbal children with ASD and ID to technological support. This is a preliminary study and a greater understanding of children’s prior experiences with technology will better inform how and which digital capabilities develop.

This is the first study to assess a range of basic capabilities for using digital tablet devices in minimally verbal children with ASD and ID.

The electronics industry has grown over the past 50 years, mostly in developed countries, contributing to their economic progress. Particularly in the Baja California State located in the northwest of Mexico, these companies have prospered in the industrial parks of Mexicali considered as an arid zone and Ensenada, a port and city on the Pacific Ocean considered as a marine region. In both environments, during winter and summer, the climate impacts on indoor conditions, affecting humidity and temperature, and generating corrosion which decreases the yields of the electronic devices and industrial machines. The purpose of this paper is to investigate the effects of corrosion on electronic devices in these arid and marine environments.

The paper determines the corrosivity levels inside industrial plants of desertic and coast regions in Mexico, to evaluate the deterioration of electronic metals.

Relative humidity, temperature, time of wetness, are recorded and related to the corrosion process in arid and marine environments.

Some missing information about air pollution in Ensenada from some Environmental Monitoring Stations was a limitation, and the need to use complex atmospheric techniques.

The paper shows that it is very important to control metallic corrosion generated by climate factors and air pollution in indoor industrial plants: the corrosion of electronic devices and equipments depletes their yield and can lead to loss‐making failures.

Using the case of a failed airport project in metropolitan Mexico City, this chapter explores the political and economic reasons for urban megaproject failure. It examines the nature of the oppositional alliances; the larger political, economic, institutional, and spatial conditions under which these alliances were forged; and how they forced project proponents to abandon a planned megaproject. In searching for the factors responsible for project failure, the study employs theories of political party competition, bureaucratic–institutional conflict, and social movements. It uses qualitative and historical analysis to focus attention on divisions within and between the political class and citizens driven by democratization, decentralization, and globalization. The case suggests that the historical and institutional legacies of urban and national development in Latin America have created bureaucratic ambiguities and tensions over who is most responsible for major infrastructure development in countries experiencing democratic transition. The failure to successfully build the Mexico City airport megaproject reflects a precarious transitional moment in the country's political and economic development as much as the validity of claims against the project itself. If planners can better situate megaproject development in the context of changing institutional relations between citizens and the state, they may be better able to find common ground.

The purpose of this study is to discuss the significance of “contextual factors” on the talent development of underserved populations. Understanding the “context” and background of an individual provides greater insight into their life experiences (Paik, 2013). Race, class and gender, in particular, play a role in one’s life, providing both barriers and opportunities.

To examine contextual and other factors, in-depth biographical case studies were systematically studied across 10 diverse notable artists and scientists. Over 85 autobiographies, biographies and other sources were carefully content-analyzed for commonalities and differences in artists’ and scientists’ lives.

Because of their ascribed statuses (e.g. race, class, gender), these individuals had to navigate their unique school and life circumstances. Within their sociocultural contexts, however, key relationships (e.g. parents, teachers, mentors and peers) helped mitigate the challenges. All artists and scientists had a “village” – key stakeholders who invested in them at every stage of their talent development.

Parents, teachers, mentors and peers are not only critical, but they are lifelines for talent development. Key implications discuss the role of contextual factors and support networks for aspiring diverse artists and scientists.

The theoretical framework for this study is based on the productive giftedness model (PGM) (Paik, 2013, 2015). PGM includes 10 key psychosocial and environmental factors and how they influence “productive giftedness” (e.g. achievements, accomplishments, leadership). Within the model, both “alterable” and “contextual factors” provide access to different opportunities, support and resources. The model is considered generalizable and applicable for diverse populations.

The purpose of this study is to focus on analyzing the role of music subcultures in the communication and promotion of conspicuous consumption practices. The object of study is the “altered movement” as the music style of the drug subculture in Mexico.

A qualitative content analysis of 78 lyrics and music videos of “altered movement” was carried out between August and December 2018.

The analysis of lyrics and music videos leads to the identification of four narratives (from poor to rich, power through violence, lavish lifestyle and power over women) and diverse symbolic markers (luxury brands mainly) that together, display messages aimed at promoting conspicuous consumption practices.

The current research expands the body of literature of music subcultures in the consumer research area by contesting the common conception of this phenomenon as a healthy source of self-identity formation and deepening into its role as a source of conspicuous consumption practices.

This work presents a review of the state of the art of the present century on academic and scientific production in Latin America related to the concept of Social Innovation. The analysis is based on articles published in indexed journals, which makes it possible to understand the existing asymmetry between the conceptual and theoretical veins, of the case studies, as well as of good social innovation practices that have been published in recent years. These debates have in some cases transcended public policies, as well as business and social realities where social innovation is a mechanism and strategy for personal, social, and territorial development. Finally, a Latin American community of researchers and academics around social innovation must be consolidated, who choose to continue building theoretical-empirical bodies following the Latin American reality.

This paper aims to propose comparing the performance of three algorithms based on different population-based heuristics, particle swarm optimization (PSO), artificial bee colony (ABC) and method of musical composition (DMMC), for the districting problem.

In order to compare the performance of the proposed algorithms, they were tested on eight instances drawn from the Mexican electoral institute database, and their respective performance levels were compared. In addition, a simulated annealing-based (simulated annealing – SA) algorithm was used as reference to evaluate the proposed algorithms. This technique was included in this work because it has been used for Federal districting in Mexico since 1994. The performance of the algorithms was evaluated in terms of the quality of the approximated Pareto front and efficiency. Regarding solution quality, convergence and dispersion of the resulting non-dominated solutions were evaluated.

The results show that the quality and diversification of non-dominated solutions generated by population-based algorithms are better than those produced by Federal Electoral Institute’s (IFE’s) SA-based technique. More accurately, among population-based techniques, discrete adaptation of ABC and MMC outperform PSO.

The performance of three population-based techniques was evaluated for the districting problem. In this paper, the authors used the objective function proposed by the Mexican IFE, a weight aggregation function that seeks for a districting plan that represents the best balance between population equality and compactness. However, the weighting factors can be modified by political agreements; thus, the authors decided to produce a set of efficient solutions, using different weighting factors for the computational experiments. This way, the best algorithm will produce high quality solutions no matter the weighting factors used for a real districting process. The computational experiments proved that the proposed artificial bee colony and method of musical composition-based algorithms produce better quality efficient solutions than its counterparts. These results show that population-based algorithms can outperform traditional local search strategies. Besides, as far as we know, this is the first time that the method of musical composition is used for this kind of problems.