Substantially reducing corruption and bribery in all forms is a target of goal 16 (peace, justice and strong institutions). This blog reviews the rise of anti-foreign bribery legislation in the 20 years since the OECD's Anti-Bribery Convention was signed by 43 states and countries.
Modern slavery risks have risen across the world over the last year, including in 20 of the 28 member states of the EU. On Anti-Slavery Day, this blog looks at the increased risks and numbers of victims of forced labour in supply chains, and how to mitigate these risks contributing to goal 8 (decent work and economic growth).
In July the 2017 Sustainable Development Goals (SDG) Business Forum recognised the critical role of business in delivering on the promise of sustainable and inclusive development. In this article, we elaborate on the SDG business case, and how businesses can engage with the SDG framework; driving business growth and productivity, whilst contributing to the better world envisaged by the 2030 Agenda for Sustainable Development.
This book presents the country development diagnostics post-2015 framework, developed by the World Bank Group to assess the country-level implications of the post-2015 global agenda, as well as brief, ‘at-a-glance’ applications of the framework to ten countries: Ethiopia, Jamaica, the Kyrgyz Republic, Liberia, Nigeria, Pakistan, Peru, the Philippines, Senegal, and Uganda.
At the heart of Responsible Tourism are commitments to transparency and accountability. It is a process of addressing the sustainability issues which arise in a particular place and which the business can do something about, materiality matters. But it is not enough to focus only on the process, it is important to report the achievement. This blog explores reporting frameworks, rating initiatives, certification, recognition and showcases best practice.
Smart cities use data and technology to drive energy efficiency and are on the increase. The advantages of integrating energy efficient technologies into building planning and urban modelling are understood, but what are the risks? This article considers the threat of cyber crime on smart cities and the technology that these cities rely on, drawing out the links between SDG 7 and SDG 9. On the one hand, smart cities support the need for open data whilst on the other hand increased protection and security of that data will be required to avoid the threat of cyber attacks.
Photos of a beach on Henderson Island in the Pacific Ocean provides yet more evidence of the detrimental impact that packaging and other plastics waste is having on the environment globally. Creating a virtuous circle out of what, until now, has largely been a chain of production from feedstock to consumer will not be easy. But it is the innovation aspect that has fired the imagination of producers, processors and corporate consumers of plastics packaging. This fits with SDG 9.4 to upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes and SDG 7 Affordable and Clean Energy.
Achieving SDG 11 will require new technologies and innovations to be deployed in the real-estate sector. Already blockchain and artificial intelligence form the foundations of smart buildings, using data on residents' personal preferences to be able to improve efficiency and comfort. This article explores the different technologies and innovations that provide significant untapped potential in the real estate sector.
In 2014, University College London and Elsevier established the UCL Big Data Institute, a collaboration to empower researchers to explore innovative ways to apply new technologies and analytics to scholarly content and data. The institute is co-staffed with UCL and Elsevier researchers and is based at Elsevier’s London Mendeleys headquarters. Projects include investigation of the role and impact of researchers in academic networks, citation models, adaptive user modeling, knowledge graphs and predictive modeling.
