Utilizing critical discourse analysis, this study explored how teacher candidates from Türkiye (TCTs) (re)produced the East/West binary extant in hegemonic socio-economic and sociopolitical discourses while discussing educational and gender inequalities during telecollaboration with their peers from the US.

RELX SDG Inspiration Day 2024: Leading edge discussion on AI for sustainable development: the risks and opportunities

The tenth RELX SDG Inspiration Day - a free, online event for thought leaders, corporate representatives, students, investors, government and NGOs to explore issues, gain practical insights and be inspired to take action in support of the UN Sustainable Development Goals.

AI holds tremendous potential for advancing the United Nations Sustainable Development Goals (SDGs).  AI, particularly generative AI, provides new opportunities to analyse data and trends

Supports SDG 3 in describing problems associated with delayed pregnancies and a lack of access to care.

This content aligns with Goals 1 and 5 by using qualitative approaches to explore the pathways of women's homelessness in the Kolkata megacity; identifying environmental, structural, and interpersonal factors associated with women's homelessness; and offering policy and practice recommendations for addressing this issue.

This content aligns with Goals 1 and 5 by assessing endemic levels of gender inequality and exclusion of homeless women and survival challenges for them in context of pertinent indicators like accessing basic services, occupational segregation, and gender-based violence.

The study forecasts AI-based innovation's impact on SDGs in 22 countries from 2022 to 2030 using System Dynamics Modeling. In most of the 22 countries studied, AI-based innovation positively affects SDGs 1, 3, and 5. For half of the countries studied, AI-based innovation positively influences SDGs 2, 4, 6–8, 11, 13, and 16–17. AI-based innovation does not positively influence SDGs 10, 12, 14–15 for most countries studied.

This article examines gender differences in the choices of undergraduate students at a French university who are competing for seats at foreign universities to fulfill a mandatory exchange program requirement. The authors find that average- and high-ability female students request universities that are worse-ranked than their male peers, and survey results suggest that male students prioritize the academic characteristics of exchange universities whereas female students consider both academic and non-academic characteristics.