RELX SDG Inspiration Day 2024

In the Age of AI: Information to Support UN SDGs

Elsevier

AI holds tremendous potential for advancing the United Nations Sustainable Development Goals (SDGs). AI, particularly generative AI, provides new opportunities to analyse data and trends at pace and scale to further knowledge, allocation of resources and action. Applications to address the global challenges presented by the SDGs such as poverty and hunger, human health, climate change, biodiversity and ocean degradation are potentially limitless. Upskilling and access to AI technology will be critical, but how can we avoid an AI divide between the West and the rest? This year’s RELX SDG Inspiration Day will bring together global AI leaders, corporate representatives, investors, government, and NGOs to explore issues, gain practical insights and be inspired to take action in support of the Global Goals.

Table of contents

Measuring and evaluating SDG indicators with Big Earth Data
Harnessing artificial intelligence and big data for SDGs and prosperous urban future in South Asia
Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11
Artificial intelligence and sustainable development goals nexus via four vantage points
Understanding STI and SDG with artificial intelligence: A review and research agenda for entrepreneurial action
Progress on achieving environmental SDGs assessed from Big Earth Data in China
AI-driven optimization of ethanol-powered internal combustion engines in alignment with multiple SDGs: A sustainable energy transition
Aligning community outreach initiatives with SDGs in a higher education institution with artificial intelligence
Smart cities and sustainable development goals (SDGs): A systematic literature review of co-benefits and trade-offs
Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting
Wireless power transfer: Applications, challenges, barriers, and the role of AI in achieving sustainable development goals - A bibliometric analysis
Managing energy transition alongside environmental protection by making use of AI-led butanol powered SI engine optimization in compliance with SDGs
Artificial Intelligence Applications for Sustainable Construction - Chapter 2 : Application of artificial intelligence in sustainable construction
Artificial Intelligence and Machine Learning in Smart City Planning: Chapter One - A study on the perceptions of officials on their duties and responsibilities at various levels of the organizational structure
Advances in Agronomy: Chapter One - The role of artificial intelligence in crop improvement
Comprehensive Analytical Chemistry: Chapter Nine - Blockchain meets edge-AI for food supply chain traceability and provenance
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence: Chapter 18 - Significance of artificial intelligence to develop mitigation strategies against climate change in accordance with sustainable development goal
Intelligent Environments (Second Edition): Chapter 15 - Digital City Science—a platform methodology for sustainable urban development
Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies: Chapter 17 - Artificial intelligence and the delivery of patient-centered care in the Gulf region: navigating the ethical landscape
Deep Learning in Personalized Healthcare and Decision Support: Chapter 26 - Internet of Medical Things in curbing pandemics
Earth Observation in Urban Monitoring: Chapter 14 - Artificial intelligence for sustainable urban climate studies
Advances in Computers: Chapter Six - Air quality modeling for smart cities of India by nature inspired AI—A sustainable approach
Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Chapter 17 - Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles
Artificial Intelligence and Data Science in Environmental Sensing: Chapter 5 - Artificial intelligence and sustainability: Solutions to social and environmental challenges

Measuring and evaluating SDG indicators with Big Earth Data

Elsevier,

Science Bulletin, Volume 67, 15 September 2022

Big Earth Data infrastructure must further condense and abstract common workloads and application models with consideration for the features of Big Earth Data and the typical needs of SDG-related applications.Systems should be designed and built based on benchmarks, with integration and scheduling of services and resources as a central focus (e.g., high-performance, high-throughput, intelligent computing and cloud services). Focusing on transparent data access and efficient data circulation will help integrate software and hardware for increased performance, capacity, and flexibility.
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SDG:

Goal 2: Zero hunger; Goal 6: Clean water and sanitation; Goal 11: Sustainable cities and communities; Goal 13: Climate action; Goal 14: Life below water; Goal 15: Life on land
Global

Harnessing artificial intelligence and big data for SDGs and prosperous urban future in South Asia

Elsevier,

Environmental and Sustainability Indicators, Volume 11, September 2021

Scientists and governments of South Asian countries can work together more efficiently in the future, not just to react to the urban socio-economic and environmental problems of today, but work with superior foresight today to make strong decisions for tomorrow.
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SDG:

Goal 9: Industry, innovation and infrastructure
Asia

Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11

Elsevier,

Journal of Cleaner Production, Volume 412, 1 August 2023

This review assessed the academic landscape on the use of ANN for Smart Cities towards SDG-11. A keyword-based methodological framework was used to retrieve the relevant documents. The documents were assessed using descriptive and content analysis. Results revealed significant research interest on the topic and is on an increasing trend. Research works on the topic are expected to increase as clusters on specific topics have formed. This review identified the SDG-11 themes Environmental Impact, Transport Systems, and Urbanization among the most prominent. Research gaps were identified in the SDG-11 themes on Green and Public Spaces, and Natural and Cultural Heritage.
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SDG:

Goal 11: Sustainable cities and communities

Artificial intelligence and sustainable development goals nexus via four vantage points

Elsevier,

Technology in Society, Volume 72, February 2023

We observe the link between Artificial Intelligence (AI) and Sustainable Development Goals (SDGs). We use automated methodologies to find insights and overlaps between AI and the SDGs. AI-Ethics frameworks need to give more attention to Society and Environment areas. Inclusive action is needed to balance the efforts for solving SDGs by using AI.SDGs 13, 14, and 15 (all related to the Environment area) are not sufficiently addressed.
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SDG:

Goal 5: Gender equality; Goal 6: Clean water and sanitation; Goal 13: Climate action; Goal 14: Life below water; Goal 15: Life on land; Goal 8: Decent work and economic growth; Goal 9: Industry, innovation and infrastructure; Goal 10: Reduced inequalities; Goal 11: Sustainable cities and communities; Goal 12: Responsible consumption and production; Goal 16: Peace, justice and strong institutions; Goal 17: Partnership for the goals; Goal 1: No poverty; Goal 2: Zero hunger; Goal 3: Good health and well-being; Goal 4: Quality education; Goal 7: Affordable and clean energy
Global

Understanding STI and SDG with artificial intelligence: A review and research agenda for entrepreneurial action

Elsevier,

Technological Forecasting and Social Change, Volume 196, November 2023

In this context, the present study has a primary research objective: to develop a research agenda for entrepreneurial action, identifying key aspects related to STI and the SDGs, and to explore how both concepts are interconnected.
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SDG:

Goal 9: Industry, innovation and infrastructure; Goal 17: Partnership for the goals
Global

Progress on achieving environmental SDGs assessed from Big Earth Data in China

Elsevier,

Science Bulletin, Volume 68, 30 December 2023

Given that we are halfway to 2030, there is a greater need to accelerate our progress to SDGs. To the data gap, which is still a huge barrier for SDGs, Big Earth Data provide strong support to measure the status and trend of progress. Using Big Earth Data with global data acquisition and analysis capability, China can and should make more contributions to fill the data gap and give more data-driven suggestions for decision-makers for the world’s SDG efforts.
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SDG:

Goal 9: Industry, innovation and infrastructure
Asia

AI-driven optimization of ethanol-powered internal combustion engines in alignment with multiple SDGs: A sustainable energy transition

Elsevier,

Energy Conversion and Management: X, Volume 20, October 2023

The results of this study, which looks at the emissions and performance of the ICE fueled by ethanol, are in line with SDGs 7 and 13. Regarding optimization and prediction, the distinctive combination of ANN and RSM encourages sustainable industrialization, more conscientious consumption, and more ethical production patterns. All these are crucial components of SDGs 9 and 12. To make refined decisions and achieve improved performance and emissions, this research can benefit engine producers and researchers. This alliance between scholars and industry stakeholders supports SDG 17 (Partnerships for the Goals), which also encourages knowledge-sharing to advance the SDGs as a whole.
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SDG:

Goal 7: Affordable and clean energy; Goal 9: Industry, innovation and infrastructure; Goal 12: Responsible consumption and production; Goal 13: Climate action; Goal 17: Partnership for the goals
Global

Aligning community outreach initiatives with SDGs in a higher education institution with artificial intelligence

Elsevier,

Cleaner and Responsible Consumption, Volume 12, March 2024

With technological advances, Artificial Intelligence tools are increasingly available in organizational environments, enabling greater processing and storage capacity and increasing the possibilities of analyzing other data formats. Therefore, in this work, Natural Language Processing (NLP) techniques were applied to verify, with an AI tool, the alignment of community outreach actions of an HEI to the SDGs and identify its actions with the greatest impact based on the titles and summaries of these actions.
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SDG:

Goal 4: Quality education
Global

Smart cities and sustainable development goals (SDGs): A systematic literature review of co-benefits and trade-offs

Elsevier,

Cities, Volume 146, March 2024

Linkages between smart cities and SDGs are underexplored.A systematic literature review is conducted to address this gap. Existing research mainly focuses on SDG 6, SDG 7, and SDG 11.Responsible smart city solutions and technologies could contribute to SDGs.There is a bias toward reporting the benefits of smart cities and trade-offs are underexplored.
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SDG:

Goal 11: Sustainable cities and communities
Global

Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting

Elsevier,

Technological Forecasting and Social Change, Volume 201, April 2024

The study forecasts AI-based innovation's impact on SDGs in 22 countries from 2022 to 2030 using System Dynamics Modeling. In most of the 22 countries studied, AI-based innovation positively affects SDGs 1, 3, and 5. For half of the countries studied, AI-based innovation positively influences SDGs 2, 4, 6–8, 11, 13, and 16–17. AI-based innovation does not positively influence SDGs 10, 12, 14–15 for most countries studied.
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SDG:

Goal 1: No poverty; Goal 2: Zero hunger; Goal 3: Good health and well-being; Goal 4: Quality education; Goal 5: Gender equality; Goal 6: Clean water and sanitation; Goal 7: Affordable and clean energy; Goal 8: Decent work and economic growth; Goal 9: Industry, innovation and infrastructure; Goal 10: Reduced inequalities; Goal 11: Sustainable cities and communities; Goal 12: Responsible consumption and production; Goal 13: Climate action; Goal 14: Life below water; Goal 15: Life on land; Goal 16: Peace, justice and strong institutions; Goal 17: Partnership for the goals
Global

Wireless power transfer: Applications, challenges, barriers, and the role of AI in achieving sustainable development goals - A bibliometric analysis

Elsevier,

Energy Strategy Reviews, Volume 53, May 2024

The research questions explore the recent progress and technological advancements in Wireless Power Transfer (WPT), the reflection of global engagement within the WPT community through publication trends and geographical distribution, and the alignment of thematic clusters with SDG goals. Questions also investigate the contribution of AI to WPT, challenges and barriers to WPT adoption revealed by bibliometric analysis, ways WPT technology can democratize technology access in marginalized regions, and specific recommendations to ensure WPT technologies effectively accelerate progress towards achieving a broader set of SDGs.
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SDG:

Goal 7: Affordable and clean energy; Goal 9: Industry, innovation and infrastructure; Goal 11: Sustainable cities and communities; Goal 15: Life on land

Tags:

Artificial Intelligence, Global

Managing energy transition alongside environmental protection by making use of AI-led butanol powered SI engine optimization in compliance with SDGs

Elsevier,

Heliyon, Volume 10, 15 May 2024

In the pursuit of improving engine performance and mitigating emissions, researchers have explored the intriguing domain of fuel blends incorporating butanol and gasoline. This innovative study aims to unravel the intricate dynamics between butanol and gasoline when utilized as a blended fuel in internal combustion engines. The current study integrates cutting-edge techniques such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) for the optimization of engine performance.
Read more

SDG:

Goal 7: Affordable and clean energy; Goal 9: Industry, innovation and infrastructure; Goal 12: Responsible consumption and production; Goal 13: Climate action
Global

Artificial Intelligence Applications for Sustainable Construction - Chapter 2 : Application of artificial intelligence in sustainable construction

Elsevier,

Artificial Intelligence Applications for Sustainable Construction, 2024, pp 75-91

This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote smart civil engineering.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 11: Sustainable cities and communities

Tags:

Data & Analytics; Sustainable cities and human settlements, Global

Artificial Intelligence and Machine Learning in Smart City Planning: Chapter One - A study on the perceptions of officials on their duties and responsibilities at various levels of the organizational structure

Elsevier,

Artificial Intelligence and Machine Learning in Smart City Planning, 2023, pp 1-10

This chapter advances the UN SDG goals 8, 9, and 11 by exploring how AI can be utilized by city officials to improve quality of life in sustainable cities.
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SDG:

Goal 8: Decent work and economic growth; Goal 9: Industry, innovation and infrastructure; Goal 11: Sustainable cities and communities

Tags:

Sustainable cities and human settlements; Employment decent work for all and social protection; Data & Analytics, Global

Advances in Agronomy: Chapter One - The role of artificial intelligence in crop improvement

Elsevier,

Advances in Agronomy, Volume 184, 2024, pp 1-66

This chapter advances the UN SDG goals 2 and 9 by highlighting the role AI can play in identifying crop improvement methods for sustainable agriculture.
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SDG:

Goal 2: Zero hunger; Goal 9: Industry, innovation and infrastructure

Tags:

Data & Analytics; Food security and nutrition and sustainable agriculture, Global

Comprehensive Analytical Chemistry: Chapter Nine - Blockchain meets edge-AI for food supply chain traceability and provenance

Elsevier,

Comprehensive Analytical Chemistry, Volume 101, 2023, pp 251-275

This chapter advances the UN SDG goals 9 and 12 by considering the benefits of digitizing food supply chains using Internet of Things, blockchain, and AI.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 12: Responsible consumption and production

Tags:

Data & Analytics; Sustainable consumption and production, Global

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence: Chapter 18 - Significance of artificial intelligence to develop mitigation strategies against climate change in accordance with sustainable development goal

Elsevier,

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence, 2023, pp 377-399

This chapter advances the UN SDG goals 9 and 13 by discussing the potential of AI tools to develop mitigation strategies to battle climate change in energy, land use, disaster response, and other sectors.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 13: Climate action

Tags:

Data & Analytics; Climate Change, Global

Intelligent Environments (Second Edition): Chapter 15 - Digital City Science—a platform methodology for sustainable urban development

Elsevier,

Intelligent Environments: Advanced Systems for a Healthy Planet, Second Edition, 2023, pp 475-497

This chapter advances the UN SDG goals 9 and 11 by discussing the growing field of Digital City Science and the convergence of digital cities and sustainable urban development.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 11: Sustainable cities and communities

Tags:

Data & Analytics; Sustainable cities and human settlements, Global

Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies: Chapter 17 - Artificial intelligence and the delivery of patient-centered care in the Gulf region: navigating the ethical landscape

Elsevier,

Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies: Shaping Digital Future, 2024, pp 331-352

This chapter advances the UN SDG goals 3 and 9 by exploring the potential benefits and ethical considerations of AI tools in healthcare settings.
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SDG:

Goal 3: Good health and well-being; Goal 9: Industry, innovation and infrastructure

Tags:

Data & Analytics; Health and wellbeing, Asia

Deep Learning in Personalized Healthcare and Decision Support: Chapter 26 - Internet of Medical Things in curbing pandemics

Elsevier,

Deep Learning in Personalized Healthcare and Decision Support, 2023, pp 357-371

This chapter advances the UN SDG goals 3 and 9 by exploring how the Internet of Things can play a future role in curbing pandemic situations.
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SDG:

Goal 3: Good health and well-being; Goal 9: Industry, innovation and infrastructure

Tags:

Data & Analytics; Health and wellbeing, Global

Earth Observation in Urban Monitoring: Chapter 14 - Artificial intelligence for sustainable urban climate studies

Elsevier,

Earth Observation in Urban Monitoring: Techniques and Challenges, 2024, pp 291-307

This chapter advances the UN SDG goals 9 and 13 by discussing the potential of AI tools to advance sustainable urban climate modeling.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 13: Climate action

Tags:

Data & Analytics; Climate Change, Global

Advances in Computers: Chapter Six - Air quality modeling for smart cities of India by nature inspired AI—A sustainable approach

Elsevier,

Advances in Computers, Volume 135, 2024, pp 129-154

This chapter advances the UN SDG goals 9 and 11 by highlighting the role AI tools can play in mitigating urban air pollution for improved urban air quality.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 11: Sustainable cities and communities

Tags:

Data & Analytics; Sustainable cities and human settlements, Global

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Chapter 17 - Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles

Elsevier,

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions, 2024, pp 477-502

This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote sustainable transportation in electric vehicles.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 11: Sustainable cities and communities

Tags:

Data & Analytics; Sustainable transport, Global

Artificial Intelligence and Data Science in Environmental Sensing: Chapter 5 - Artificial intelligence and sustainability: Solutions to social and environmental challenges

Elsevier,

Artificial Intelligence and Data Science in Environmental Sensing: Cognitive Data Science in Sustainable Computing, 2022, pp 93-108

This chapter advances the UN SDG goals 9, 12, and 13 by discussing the potential of AI to overcome socioenvironmental challenges such as unsustainable resource consumption and poor management of natural disaster responses.
Read more

SDG:

Goal 9: Industry, innovation and infrastructure; Goal 12: Responsible consumption and production; Goal 13: Climate action

Tags:

Data & Analytics; Sustainable consumption and production; Climate Change, Global
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