Africa

"Women Supporting Women in the Sciences (WS2)—ws2global.org—is an international initiative unifying and supporting graduate- and professional-level women and allies in science, technology, engineering, and mathematics (STEM), while providing outreach to elementary- and secondary-level students. WS2 has been involved in the development of professional development workshops intended to empower university women and promote STEM careers. In their most recent venture, WS2 distributed low-cost physics and materials science lab kits that were designed virtually by international teams. These kits are relevant to elementary and secondary school students across the world, with initial focus on local schools in eastern Africa. In this Backstory, part of the WS2 leadership team (Dr. Joyce Elisadiki, Dr. Cecilia Rolence China, and Dr. Jill Wenderott) discusses how the Lab Kit Initiative came together and highlights outcomes and lessons learned from this project. "

A study by Snoussi et al., 2024 proposes a methodology for evaluating excavated material's environmental, geotechnical, and agronomical properties to determine its ecological reuse potential, particularly for constructing soil in urban green infrastructure. Through the SWOFI framework (Safety, Workability, Fertility, Infiltrability), the authors characterised a non-cohesive sedimentary parent rock with a sandy loam texture from Bou Argoub in Tunisia. The method successfully assessed the material’s pollution hazard, compaction sensitivity, and fertility showcasing a novel integrated approach for sustainable soil construction in urban landscapes.

This study examines the impact of home-to-school distance on student dropout rates in Adi-Keyih sub-zone, Eritrea, analysing data from almost 2,500 students. Findings indicate that greater distances between home and school significantly increase the likelihood of dropout.

Recent advances in Artificial Intelligence (AI) research have opened up new opportunities for leveraging AI research for societal impacts. AI research offers novel ways of tackling societal problems including environmental, health, and education challenges. Despite the potential, there are limited documented use cases and methodologies for translating AI research to societal impact at a large scale. This paper presents AirQo, an AI and advanced technology-driven use case for urban environmental pollution monitoring and modelling and the resulting societal impacts that have been realised.