This chapter advances SDG goals 7, 9, and 11 by improving our ability to use smart grids to provide stable, demand- and market-responsive energy.

The authors propose a multi-attribute group decision-making (MAGDM) approach to evaluate and select digital voting tools that facilitate public participation in urban transport decision-making.

RELX SDG Customer Awards aim to recognise RELX customers who share our commitment to driving action in support of the United Nations Sustainable Development Goals. Read more about the 2022 winners.
Cirium develops a methodology to calculate the most accurate, historic, and predicted flight emissions data in the marketplace. This will allow airlines to track the fuel efficiency of their operations and customers to track and choose the lowest possible carbon footprint when they travel. This supports climate action and SDG 13.
This article supports SDGs 9, 11 and 13 by employing an Urban-Water-Energy (UWE)-Nexus approach to understand water and energy demand and their interactions in both space and time for Rhode Island and quantifies the extent and exposure of the Urban Heat Island effects among its towns and urban populations using high-resolution details.
World Smart Energy Week is the world’s leading comprehensive B-to-B trade show for smart and renewable energy held twice a year in Japan. The show aims to provide a platform for professionals from across Japan, Asia, and the world to negotiate and network for the future of smart and renewable energy business. This supports SDG 9: to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation.
Elsevier,

Physics and Chemistry of the Earth, Volume 126, June 2022

The paper studied the evaluation index system of urban garden afforestation, ecological environment benefit and urban garden afforestation, furthering SDG 11, 5 and 9.
Elsevier,

Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications, 2022, pp 57-75

This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the challenges and opportunities associated with Big Data in healthcare, from a sex and gender perspective.
Elsevier,

Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications, 2022, pp 77-93

This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the risks of sex and gender biases in Artificial Intelligence evolution, and the ways in which we can prevent them.
Efficiently harvesting potable water from atmosphere for arid regions.

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