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This study explores the value of sports films for engaging youth in issues related to patriotism, justice, equity and liberty. The authors analyze how two sports films, 42 and Battle of the Sexes, have pedagogical potential and value in secondary social studies methods classes, as well as what criteria educators might use when selecting films (and television series) for classroom use.

Using content analysis, the authors respond to the following questions: (1) What critical themes related to civic education surface in the sports films 42 and Battle of the Sexes? and (2) What framework might guide the use of selecting sports films and sports film clips for educators' civic educational use?

Five themes surfaced in the films 42 and Battle of the Sexes: economics as a force for social change; racism and anti-Blackness, athletes as more than athletes, resisting oppression, and sexism and homophobia. Instruction related to these themes has the potential to engage students in critical, awareness-based approaches to civic education.

Sports films show promise for engaging youth due to their interests in the medium of film and in sports, both as participants and spectators. Across the world, athletes face questions and issues related to patriotism, justice, equity and liberty on courts, fields, tracks and rinks, These questions and issues are deeply embedded in civic education. This study is among the first of its kind to explore the pedagogical potential of sports films.

This article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions.

The corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling.

Several results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security.

Some critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses.

The corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities.

The work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.

This study aims to investigate the use of Artificial Intelligence (AI) applied to vertical farms to evaluate whether disrupting technology supports sustainability and increases strategic business model choices in the agricultural sector. The study responds through empirical analysis to the gap on the subject of AI-driven business models present in the growing sector literature.

The paper analyzes the case of “ZERO”, a company linked to the strategy innovation ecosystem of the Ca’ Foscari University of Venice, Italy. The empirical data were collected through a semi-structured questionnaire, interviews and the analysis of public news on the business model available in the analyzed case study. The research is empirical and uses exploratory, descriptive analysis to interpret the findings. The article focuses on the evaluation of AI impact on the agricultural sector and its potential to create new business models.

The study identified how AI can support the decision-making process leading to an increase in productivity, efficiency, product quality and cost reduction. AI helps increase these parameters through a continuous learning process and local production, and the possible decrease in prices directed toward the goal of zero km food with fresh products. AI is a winning technology to support the key elements of the vertical farm business model. However, it must be coupled with other devices, such as robots, sensors and drones, to collect enough data to enable continuous learning and improvement.

The research supports new research trends in AI applied to agriculture. The major implication is the construction of ecosystems between farms, technology providers, policymakers, universities, research centers and local consumer communities.

The ZERO case study underlines the potential of AI as a destructive technology that, especially in vertical farms, eliminates external conditions by increasing productivity, reducing costs and responding to production needs with adequate consumption of raw materials, boosting both environmental and social sustainability.

The study is original, as the current literature presents few empirical case studies on AI-supporting business models in agriculture. The study also favors valuable strategic implications for the policies to be adopted in favor of new business models in agriculture.

The purpose of this study was to gain a deeper understanding of the selection criteria used in preincubation programs. Particular focus has been placed on examining the exclusive and inclusive nature of these criteria, and how they relate to both egalitarian and utilitarian considerations.

The study used two data sources: archival available online data and semi-structured interviews. Forty-nine preincubation programs were examined, with 19 representatives interviewed. The data was analyzed using content analysis to understand the access and selection criteria applied at the preincubation stage.

The goals of preincubation programs vary, including developing students’ competencies, creating new companies or achieving the goals of the corporation that sponsored the program. preincubation programs use three levels of selection criteria, including entry criteria, the potential of the submitted idea and team and the personal characteristics and competencies of the applicants. The entry criteria varied across programs, with some programs being open only to university employees and students, while others were open to the public. The study found that the majority of preincubation programs used a combination of both egalitarian and utilitarian motivations in their selection criteria.

The criteria used to evaluate applications flowing into preincubation should be strongly related to the goals that preincubation is supposed to achieve. It is essential to consider that, contrary to previous knowledge, this process is not only aimed at supporting the creation of new businesses.

To the best of the author’s knowledge, this is the first study that analyzes the approach to selection criteria in preincubation programs with such diverse goals and in different countries as well as expanding the understanding of the criteria used at different stages of the incubation process and relating to the inclusiveness in entrepreneurship.

This study aims to conduct a systematic literature review and bibliometric analysis on the topic of digital labour. The study also identifies the future research directions for the topic.

In total, 118 research papers were identified and reviewed from 11 established research databases and A*, A and B category journals from the ABDC journal list. The papers covered a timespan between 2006 and 2023. Bibliometric analysis was conducted to identify key research hotspots.

The emergent themes and associated sub-themes related to digital labour were identified from the literature. The paper found three significant themes that include digital labour platform, gig economy and productivity. This study also acts as a platform to initiate further research in this field for academicians, scholars, industry practitioners and policymakers. The future research scope in the topic is also presented.

The present study is unique in its nature as it approaches the topic of digital labour from all relevant perspectives.

This paper aims to explore how young students experience the contribution of a pedagogical assemblage based on design thinking (DT) while contributing to the transition to a more just and sustainable university.

This qualitative research considers the case of two pedagogical experiences developed at Universitat Politècnica de Valencià, Spain. In both experiences, a methodological proposal that includes practices of care, just transitions and DT was implemented. The data obtained through in-depth interviews, surveys and digital whiteboard labels was analyzed under the lens of three relational categories in the context of sustainability.

Learnings are acquired through five categories: place-based learning, prior learning, embodied learning, collaborative teamwork and intersectionality. The research shows how the subjective knowledge of young students positions them as co-designers and leaders of a University that drives a more just and sustainable transition.

The originality of the paper lies in the shift of DT from a human-based approach to a justice-oriented relational approach.