This content aligns with Goal 3: Good Health and Well-being, Goal 5: Gender Equality, and Goal 9: Industry, Innovation, and Infrastructure by discussing the digitial health transformation opportunities enabled by Covid-19, as well as the associated issues that must be considered.

This article This Article supports SDGs 9, 11 and 13 by looking at the case of FuelEU maritime as an example of policy change for decarbonisation of international maritime transport.

This Article supports SDGs 9 and 13 by looking at how carbon emissions can be mitigated by way of public procurement with environmental conditions

To mark the 50th Anniversary of World Environment Day on 5 June 2023, Elsevier proudly presents a curated list of publicly available journal articles and book chapters in support of this year's theme “Solutions to Plastics Pollution”. Please share and download.

This article advances SDG # 13 and 9 by making recommendations for unlocking the mechanism by which the plastics industry is tied to the fossil fuel-based economies.

Monitoring the ocean carbon cycle is key to improved understanding. Satellites play a major role in our global carbon monitoring system. To make full use of satellite observations for ocean carbon monitoring the remote-sensing community needs to work closely with in-situ data experts, physical and biogeochemical modellers, Earth system scientists, climate scientists and marine policy experts.

World Intellectual Property Day 2024 is highlighting the critical importance of intellectual property (IP) in catalyzing the human innovation and creativity needed for achievement of the United Nations Sustainable Development Goals (SDGs). This study contributes to the literature by uncovering the tensions in developing a national-level intellectual property rights strategy. The results highlight that the development of intellectual property rights system is challenged by a lack of inclusiveness, matching capabilities, and high levels of disagreement among the stakeholders on development paths.

This chapter advances UN SDG goals 11, 13, and 9 by examining how cities can transform in the face of climate change and socio-ecological crises to become more sustainable and resilient.

To address the Grounwater contamination, CrowdWaterSens, an uncertainty-aware graph neural network framework, examines the uncertainty and spatial irregularity of the crowdsensing groundwater contamination data and its relevant anthropogenic context to accurately estimate groundwater nitrate concentration.

This chapter aligns with Goals 7, 9 and 12 by assessing the interconnections between - and environmental implications of - wind energy development and use of rare earth elements.