Technology

Elsevier is collaborating with the UC Davis John Muir Institute of the Environment on a data science initiative. As part of the programme, an Elsevier John Muir Institute of the Environment Fellow will apply data and information science to the center’s environmental science and sustainability programs focused on the most serious impacts of climate change and advance knowledge on SDG 13.
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Supporting Goal 14: Life Below Water, Oceanology International North America's world-class exhibition and conference helps organisations reach buyers from key market regions and sectors worldwide and help them improve their strategies for measuring, developing, protecting and operating in the world’s oceans.
The Blueprint for Business Leadership on the SDGs aims to inspire all business — regardless of size, sector or geography — to take leading action in support of the achievement of the Sustainable Development Goals (SDGs). It illustrates how the five leadership qualities of Ambition, Collaboration, Accountability, Consistency, and Intentional can be applied to a business' strategy, business model, products, supply chain, partnerships, and operations to raise the bar and create impact at scale. The Blueprint is a tool for any business that is ready to advance its principled approach to SDG action to become a leader. This chapter relates specifically to SDG 9.
The development of new high-efficiency magnets and/or electric traction motors using a limited amount of critical rare earths or none at all is crucial for the large-scale deployment of electric vehicles (EVs) and related applications, such as hybrid electric vehicles (HEVs) and e-bikes. This article shows that the permanent magnet synchronous-traction motor (PSM) remains the technology of choice, especially for hybrid vehicles (HEV and PHEV). Better material efficiency and a larger adoption of motors free of rare earths have the potential to reduce the pressure on rare earths supply for use in electric road transport applications. Reduced reliance on rare earths supports both SDG 9 and SDG 11.
Elsevier,

Current Opinion in Chemical Engineering, Volume 17, Pages 22-34, August 2017

This paper deals with carbon capture and storage. It provides an overview of the different technologies that have been trialled and the technological gaps that need to be bridged to make this a viable option in the long term and therefore working towards SDG 7 (affordable and clean energy) and SDG 13 (climate action).
This chapter considers the developments in agricultural technology required to fully achieve SDG 2 (zero hunger) can sometimes be detrimental to the environment. Climate smart technologies are needed.
HPCC training
HPCC Systems offers free introductory online training classes for anyone wanting to learn the basics of the ECL programming language and the open source HPCC Systems platform. Included in the training are self-paced lessons, lab exercises and a moderated Q&A forum to increase proficiency for solving Big Data problems. HPCC Systems training advances SDG 4 Quality education and SDG 9.B to support domestic technology development, research and innovation in developing countries.
HPCC Systems Overview
Born from the deep data analysis experience of LexisNexis Risk Solutions, HPCC Systems is a proven, open source solution for Big Data insights that can be implemented by businesses of all sizes.  With HPCC Systems, developers can design applications with Big Data at their core, enabling businesses to better analyze and understand data at scale. HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing. Access to open source Big Data technology is vital for SDG 4 Quality education and SDG 9 Industry, innovation and infrastructure.
The HPCC Systems Team collaborates with multiple higher learning institutions globally to help train and develop the future managers of Big Data projects. Participating institutions receive free training classes and materials to learn the platform and help incorporate it into their curriculum. Students benefit from learning and working with a platform that was designed from the ground up by industry leader, LexisNexis. This programme advances SDG 4 Quality education and SDG 9.B to support domestic technology development, research and innovation in developing countries.
Network organization Amsterdam Data Science (ADS) and Elsevier are collaborating together on several fronts, including research and development, joint promotion of Amsterdam as a data science center, and data science talent development. This partnership marks the first long-term collaboration agreement signed by ADS and is interetsed in advancing SDG 9 targets 5, B and C. A number of projects have already started. These are focused on improving data search and reproducibility of research that will ultimately result in higher quality research outcomes.

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