GOALS

 

SDG 4

 

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.

 

The indicators for this goal are for example attendance rates at primary schools, completion rates of primary school education, participation in tertiary education and so forth. In each case, parity indices are looked at to ensure that disadvantaged students do not miss out.

AI can enhance education accessibility through personalized learning journeys and facilitating remote learning opportunities. In this chart we see the share of youth not in education, employment or training, total (% of youth population).

This perspective offers a real-time view of the worldwide news on education-related topics, providing us with a media perspective on the progress at the different fronts of SDG 4.

A SDG Live Report is what it is all about! Here, you can have a real-time perspective of the state of the world in regard to AI and sustainability, tracking some of the main issues to address in the near future.

 

The impact of AI on the progress of Sustainable Development Goal 4 (SDG 4), which aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all, has been transformative. Between 2015 and 2023, there have been 6,291,933 scientific publications examining the role of AI in education, demonstrating a strong academic interest in leveraging AI to enhance educational outcomes. These studies highlight AI’s potential to personalize learning experiences, provide real-time feedback, and support teachers in identifying students’ strengths and weaknesses. The media exposure, with 44,460 news articles, reflects significant public interest in AI’s ability to revolutionize education systems and address challenges such as access to quality education and resource allocation. Additionally, the development of 5,338 AI policies targeting SDG 4 indicates a concerted effort from policymakers to integrate AI into educational frameworks, ensuring that technological advancements contribute to equitable and inclusive learning opportunities.

In the next 5 to 10 years, we can expect AI to play an increasingly critical role in shaping the future of education. AI-driven adaptive learning platforms will become more prevalent, offering customized educational content that caters to individual learning styles and paces. These advancements will help bridge educational gaps, particularly in underserved communities, by providing access to quality educational resources and personalized support. Furthermore, AI’s ability to analyze vast amounts of data will enable more effective monitoring and evaluation of educational programs, informing evidence-based policy decisions. As AI technologies continue to evolve, collaboration between educational institutions, governments, and tech companies will be essential to ensure that AI-driven innovations are implemented ethically and equitably, ultimately contributing to the achievement of SDG 4 by making quality education accessible to all learners globally.

Here is your window to the global efforts in AI and Education. This dashboard is configurable and can be integrated into other systems to bring actionable technology into the systems of research institutions, governments and enterprises that are willing to make a difference.

 

Avoiding data bias in AI systems is crucial to ensure fair, accurate, and equitable outcomes, preventing the reinforcement of existing inequalities and enabling more trustworthy and inclusive technologies. Here you will see a dashboard analysing the bias related to the data ingested in this observatory for SDG 4.

INDICATORS

Key indicators that report on the status of water sustainability will further understanding of this important topic. With this tool, you can utilize drop-down menus and animations to explore the various aspects of and progress towards SDG 4.

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This view offers the individual perspective at each of the indicators in order to disentangle the parameters in the global/local indicator view and have a better perspective of the evolution of the indicator through time across regions and countries.

Here you can observe the timeline of indicators that have a local dimension, comparing regions instead of countries to provide insight with more granularity reflecting local priorities being addressed.

This view offers the individual perspective at each of the indicators in order to disentangle the parameters in the global/local indicator view and have a better perspective of the evolution of the indicator through time across regions and countries.

MEDIA

The media room exhibits insight from world and local news, aiming to identify SDG-related events from millions of worldwide multilingual news, and to exhibit best practices towards solving SDG-related problems. This is offered in collaboration with EventRegistry.

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In this view you can explore the different topics and subtopics related to the signal of worldwide news related to the selected SDG.

This visualisation will expose the intensity of news published in the main topics of the selected SDG and the impact that AI has on it, exposing the newsworthiness of that impact worldwide and on a timeline.

Review the worldwide news, social media posts and forum discussions published on SDG-related topics, using interactive data visualisation that can help better refine the search parameters.

SCIENCE

This perspective is providing the IRCAI user with the access to text-mining tools to improve effectiveness in reviewing a topic over a large dataset of published science and patented technology.

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Here we can observe the research trends related to the selected SDG based on more than 128 million articles published worldwide since the 40’s. Add/remove aspects of the SDG that should be compared.

Here we observe the relation between the concepts (edges) relevant to the selected SDG and the relations between those concepts, stronger or weaker according to the amount of articles where these are topics in common.

Review the published research and submitted patents about SDG-related topics, building global knowledge, using interactive data visualisation that can help better refine the search parameters.

POLICY

The observation of policies applied worldwide on SDGs is fundamental to better understand the progress of the global action. Explore the topics related to the legal and regulatory landscape from open data using sophisticated data analytics and machine learning methods.

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Here we can observe the trends identified in the ingested policy and legislation related to the selected SDG based. Add/remove aspects of the SDG that should be compared.

Observe in time the relations between concepts automatically identified in the legislation and their relation according to frequency that they are being part of the same policy documents.

Review the published legislation and policies about SDG-related topics, making sense of the published policies using interactive data visualisation that can help better refine the search parameters.

EDUCATION

Education is key for progress and sustainability. Explore in this room the educational resources in several SDG-related knowledge domains that can help educational institutions, local governments and companies can leverage the Observatory to best fit the professionals of the future.

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Explore the available open education resources focusing SDG-related topics through interactive data visualisation and machine learning methods to get closer to what you are looking for.

In this view you can explore the different topics and subtopics related to the available educational resources related to the selected SDG.

Review published educational resources focusing SDG-related topics, making sense of the related topics using interactive data visualisation that can help better the professional training and public education on sustainability.

INNOVATION

The heart beat of entrepreneurship can be the driver for sustainability. Explore in this room the innovation initiatives, from start-ups to living labs, focusing in several SDG-related topics building an ecosystem of initiatives that will enrich the sustainability-focused industrial landscape.

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Explore the topics engaged in the different actors of the existing innovation ecosystem focusing AI and sustainability, and fed by IRCAI’s Top 100 using sophisticated data analytics and machine learning methods.

In this view you can explore the different topics and subtopics related to the existing initiatives focusing specific objectives related to the progress of the selected SDG.

Review the content of the initiatives in the ecosystem progressing SDG-related topics, making sense of the related topics using interactive data visualisation that can help better to build fruitful cooperation with SDG focus.