Global

Big data shows significant potential for deep decarbonization in the transportation sector, while advances in artificial intelligence (AI) technologies help extracting valuable knowledge from such data. This study reviews the applications of big data and AI technologies in transportation, encompassing data accumulation, pattern understanding, and uncovering the intricate nexus between transportation activities and carbon emissions, ultimately providing insights for achieving carbon neutrality.

This article proposed a new research framework to help better account for the broader sustainability (e.g. local community well-being, affordability, accessibility) in the net-zero energy transition

Supported by Dubai Cares and together with Unbounded Associates and Plan International, the Ban Ki-moon Centre presents the “Your Future in Green Jobs” Online Course and Mentorship. Designed for people of 14-20 years old, this course aims to empower youth to connect their passion, interests, and skills with meaningful careers that address climate change head-on.

The program has two key components:

This review evaluates how AI-driven solutions, especially generative AI, can enhance urban energy resilience to help power systems adapt to and recover from extreme weather events and energy crises. By improving energy efficiency, reliability, and robustness, this approach directly supports the transition to carbon neutrality, which is essential for limiting global temperature increase and mitigating the impacts of climate change.
Elsevier, Trends in Plant Science, Volume 30, April 2025
Climate change threatens global food security by reducing crop yields and increasing environmental stresses, requiring urgent innovation in crop resilience through advanced breeding, genetic engineering, and sustainable practices. To succeed, global collaboration, streamlined regulations, public engagement, and integrating field and lab research are essential for developing adaptable, climate-resilient crops that ensure a sustainable food future.
Background: Intimate partner violence (IPV) poses a significant threat to the well-being of women and girls and is a highly prevalent form of gender-based violence. Evidence regarding the nutritional implications of IPV has focused primarily on intergenerational relationships with child nutrition and growth. There remains a knowledge gap regarding the association with women's own dietary intake. Objectives: We investigated relationships between past-year IPV (physical, emotional, and sexual) and women's dietary habits, using the Minimum Dietary Diversity for Women tool.
Background: Since 2000, only a few countries have substantially reduced the burden of anemia among women 15–49 y of age. The Exemplars in Anemia Reduction among Women of Reproductive Age (WRA) studied the determinants of success among these countries. Objectives: To describe the methodology used to determine the factors associated with anemia reduction in high-performing countries, with the aim to guide policy and programmatic decisions in other countries with similar sociodemographic and health indices.
Background: Few countries have succeeded to decrease the prevalence of anemia in women of reproductive age (WRA), and where improvements have been observed, contributing factors are not well understood. Objectives: To synthesize cross-cutting findings from specific exemplar studies in Uganda, Senegal, the Philippines, and Pakistan by reviewing anemia trends, policies, and programs, comparing drivers of change, and proposing strategies to achieve further reductions in WRA anemia.

Engaging in philanthropic activities is being pursued by many well-established supply chains. Donations are a form of charitable activities that not only promote the social responsibility of a corporation but also enhance its public image, which in turn creates more benefits for the supply chain. Prosocial preferences of customers are considered the primary drivers that persuade supply chains to donate. In this chapter, various donation programs within supply chains are introduced, and the challenges associated with them are briefly discussed.

Elsevier,

Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis, 2025, Pages 183-192

This chapter aligns well with several SDGs. It directly supports SDG 3 (Good Health and Well‑being) by improving reproductive health, family planning, and early detection of conditions. It advances SDG 5 (Gender Equality) by empowering women with knowledge and control over fertility. The use of AI and wearables promotes SDG 9 (Industry, Innovation and Infrastructure) through healthcare innovation, and it can help address SDG 10 (Reduced Inequalities) if deployed equitably. To fully realize alignment, attention to data privacy, affordability, and regulatory oversight is needed. "

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