In the burgeoning landscape of African smart cities, education stands as a cornerstone for sustainable development and unlocking future potential. Accurate student performance prediction holds immense social importance, enabling early intervention, improved learning outcomes, and equitable access to quality education, aligning with sustainable development goals. Traditional models often falter in Africa due to imbalanced datasets and irrelevant features. This research leverages machine learning in Nigerian classrooms to predict underperforming students. Techniques like synthetic minority oversampling, edited nearest neighbors, and the Boruta algorithm for feature selection, alongside genetic algorithms for efficiency, enhance model performance. The ensemble models achieve AUCs of 90–99.7%, effectively separating low-performing and high-performing students. Implemented via Streamlit and Heroku, these models support real-time, data-driven decisions, enhancing early intervention, personalized learning, and informing policy and public service design. This ensures equitable education and a brighter future across Africa. By leveraging ML, this research empowers universities to support struggling students, optimize educational costs, and promote inclusive development, fostering data-driven decision-making and resource allocation optimization. Ultimately, this research paves the way for a future where data empowers education within African smart cities, unlocking the full potential of data-driven solutions and ensuring equitable educational opportunities across the continent.

Studies on court administration in India have so far focused their attention largely on caseload management and judge strength of the higher judiciary. In-depth investigations of the performance of India’s lower courts, the primary loci of a citizen’s contact with the judiciary, are rarer, largely due to the lack of available data at scale. We conduct a quantitative analysis of a large dataset of more than 1700 Indian district courts between 2010 and 2018, to assess court performance through the measure of timeliness of case disposal. We use median days to decision—the median number of days it takes for a district court in India to decide a case. We aim to understand the impact of well-established factors—working strength and tenure of judges, case administration, age distribution of cases, and category or case type—against district courts’ performance. We find that court type and nature of cases are important predictors of a district court’s performance, and that the total number of judge working days and average bench strength are not good indicators of courts’ performance—the workload per judge being actually lower in low-performance district courts, compared to high-performing courts. Our study also reveals the strengths and weaknesses of the available judicial data platforms and points toward reforms in judicial administration to address these concerns.

The typological, technological, and use-wear analyses of obsidian artifacts from Terminal Classic Pook's Hill (AD 830–950+) provide opportunities to better reconstruct socioeconomic activities in this plazuela group, including long-distance trade, tool production, subsistence practices, domestic tasks, and the organization of craft production. Based on visual sourcing, most of the obsidian originated from highland Guatemala, specifically El Chayal. The majority of obsidian artifacts were prismatic blades, although both casual and bipolar reduction of blade cores and the recycling of blades from earlier occupations occurred at the site. Use-wear analysis reveals that obsidian tools were mainly used for subsistence and domestic household activities; however, the concentrations of tools with specific wear patterns (bone, ceramic, plants, and shell) at some locations in the plazuela provide evidence for local craft production among the population. Further support for craft production is provided by comparable use-wear on chert/chalcedony tools from these same locations. The products of low-level craft production were used within Pook's Hill itself and may have been distributed to neighboring communities within the Roaring Creek and Upper Belize River Valleys. Despite the sociopolitical and socioeconomic disruptions to lifeways that accompanied the Terminal Classic period, the Pook's Hill Maya seem to have experienced minimal upheaval in their daily lives and continued local low-level craft production. However, one important change in the Terminal Classic appears to be the increased difficulty in obtaining obsidian at Pook's Hill and the growing need for tool recycling and raw material conservation.

In recent years, there has been an alarming increase in both proposed and enacted legislation that targets diversity, equity, and inclusion (DEI) initiatives within higher education and organizations. These laws aim to dismantle protections and support for vulnerable individuals and groups. In this focal article, we provide an overview of the motives driving these anti-DEI legislative initiatives and categorize the laws based on the type of restrictions they impose: (a) reduction in knowledge, (b) reduction in access, and (c) reduction in support. Next, we discuss the consequences these anti-DEI laws yield for individuals, organizations, and society at large and provide an overview of how individuals and organizations may counteract these regressive policies. Last, we conclude with a call to action for I-O psychologists to investigate and call attention to the consequences of anti-DEI laws for recruitment and selection, well-being and safety of minoritized individuals, organizational reputation, and organizational performance and profits.