Take urgent action to combat climate change and its impacts

In this episode of the "World We Want" podcast, Márcia Balisciano interviews Filip Neele, Lead Scientist at TNO in Utrecht, the Netherlands. They discuss carbon capture and storage (CCS) technology as a “key” in energy transition and its role in supporting global sustainability.
Images relating to how RELX supports the SDGs including image of 3D anatomy model
As we pass the halfway point for the SDGs, many of the goals are worryingly off track and progress on 85% of the target indicators has stalled or even reversed. Through our information, products and people, RELX remains committed to advancing the Goals. Here are some of the ways that we continue to support their achievement.
Image of front cover of Elsevier report The Power of Data in Advancing the SDGs
Access to information is critical in achieving the SDGs - empowering the public to make decisions, informing policy making and enabling effective implementation and monitoring. RELX businesses regularly produce and publish free to download reports and analytics that draw upon vast amounts of information and data in support of the SDGs. Explore some of the reports and tools developed to date.
Elsevier,

iScience, Volume 26, Issue 1, 20 January 2023, 105803

In this paper the authors show how the heterogeneity in cities means that individual cities need specific low-carbon roadmaps, rather than a one-size-fits-all approach
Elsevier,

Energy and Climate Change, Volume 4, December 2023

The importance of an updating of fundamental energy law to achieve net zero carbon emissions by 2050 in the energy sector.
Front cover of SDG Stocktake report
The United Nations Global Compact-Accenture Global Private Sector Stock take report report offers an appraisal of private sector contributions to the SDGs so far and outlines a clear pathway for private sector action over the next seven years.
This Article supports SDG13 as it shows that not only short-term exposures to ambient ozone concentrations have health consequences but also long-term exposures.
This Personal View supports SDGs 3 and 13 by calling for more research into the contribution that physical activity can have in adapting to rising global temperatures and, more broadly, to climate change.
The paper presented a comprehensive analysis of the research/publications landscape on the application of Machine Learning in Climate Change Research based on data.
This study focused on the HJRB, the location of the world's largest inter-basin water transfer project, as the study area.

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