Data & Analytics

Data and analytics are increasingly recognized as fundamental elements in achieving the Sustainable Development Goals (SDGs). These 17 goals, adopted by the United Nations in 2015, aim to address global challenges such as poverty, inequality, climate change, environmental degradation, peace, and justice. Each goal is interconnected, requiring a holistic approach to achieve sustainable development by 2030. Within this framework, SDG 17, "Partnerships for the Goals," is particularly crucial as it highlights the need for high-quality, timely, and reliable data to drive progress across all goals.

The importance of data and analytics in realizing the SDGs cannot be overstated. Accurate and insightful data is necessary for several key aspects: assessing current progress, identifying existing gaps, informing policy-making, and guiding the allocation of resources. For instance, in addressing SDG 1, "No Poverty," data helps in understanding the demographics of poverty, allowing for targeted interventions. Similarly, for SDG 3, "Good Health and Well-being," data analytics play a crucial role in tracking disease outbreaks, understanding health trends, and improving healthcare delivery.

In the education sector, under SDG 4, "Quality Education," data can inform about areas where educational resources are lacking or where dropout rates are high, guiding efforts to enhance education systems. Additionally, for SDG 13, "Climate Action," data is indispensable for understanding climate patterns, predicting future scenarios, and formulating strategies to mitigate and adapt to climate change.

Advancements in data collection and analytics methods have opened up new possibilities. Mobile technology, for example, has revolutionized data collection, enabling real-time gathering and dissemination of information even in remote areas. Remote sensing technologies, such as satellite imagery, provide critical data on environmental changes, agricultural patterns, and urban development. These methods not only expand the scope of data collection but also enhance its accuracy and timeliness.

However, challenges remain in harnessing the full potential of data for the SDGs. These include issues related to data availability, quality, accessibility, and interoperability. In many parts of the world, especially in developing countries, there is a significant data deficit. This gap hinders the ability to make informed decisions and effectively address the SDGs. Moreover, data collected must be reliable and relevant to be useful in policy formulation and implementation.

To overcome these challenges, partnerships between governments, private sector, academia, and civil society are vital. These collaborations can foster innovation in data collection and analytics, ensure data sharing, and build capacities for data analysis. Furthermore, there is a need for a global framework to standardize data collection and reporting methods, which will facilitate comparison and aggregation of data across regions and countries.

This Viewpoint supports SDGs 3 and 16 by presenting a call to action to collect race-based performance data for medical professionals, focusing particularly on the Canadian context.
This Article supports SDGs 3 and 16 by measuring the rate of heart transplantation among Black and White waitlist candidates. The findings suggest that transplantation rates, as well as the rate of delisting for death or clinical deterioration, has worsened for Black candidates compared with White candidates, and that the causes for this disparity require further study.
Elsevier,

Journal of Responsible Technology, Volume 12, December 2022, 100048

An investigation, linking particularly well to SDGs 10 and 5 focusing on equality, which shows how researchers can actively engage with equality, diversity and inclusion (EDI) in their work, and how EDI considerations must remain an ongoing effort. The authors, working in the field of responsible research and innovation (RRI), intentionally employed EDI in their project recruitment, and reflect here on the adjustments they made as a result. The recruitment of persons with disabilities led to some particularly interesting and new insights in this study looking at trustworthiness in the design of autonomous systems with evolving functionality.
Community Care,

uan Cuong Nguyen, Thi Thanh Huyen Nguyen, Quoc Ba Tran, Xuan-Thanh Bui, Huu Hao Ngo, Dinh Duc Nguyen,

Chapter 21 - Artificial intelligence for wastewater treatment,

Editors: Xuan-Thanh Bui, Dinh Duc Nguyen, Ashok Pandey,

Advances in Biological Wastewater Treatment Systems,

Elsevier,

2022,

Pages 587-608,

ISBN 9780323998741

This chapter advances SDG 6 and 9 by outlining state-of-the-art development in the use of applied AI for wastewater treatment plants (WWTPs) with a focus on output, algorithms, data, and performance.
This review focuses on the potential exposure routes, human health impacts, and toxicity response of MPs/NPs on human health, through reviewing the literature on studies conducted in different in vitro and in vivo experiments on organisms, human cells, and the human experimental exposure models.
This paper discussed the development and testing of a gamma radiation dose rate calculation model for the marine environment, and evaluates the potential use for such a model in both short term nuclear emergency response management and emergency response planning.
Background: Empirical, updated country-level estimates on the proportion of cirrhosis attributable to viral hepatitis are required. We estimated the prevalence of hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in patients with cirrhosis at country, regional, and global levels as an approximation for the fractions of cirrhosis attributable to viral hepatitis. Methods: In this systematic review, we searched MEDLINE, Embase, Web of Science, and Scielo between Jan 1, 1993, and Aug 1, 2021.
These dashboards present data from the World Development Indicators (WDI) that help to monitor the Sustainable Development Goals (SDGs).
An Article in support of SDG 3, showing that in a sample of hospitalised people contributing data to the WHO Global Clinical Platform for COVID-19, HIV was an independent risk factor for both severe COVID-19 at admission and in-hospital mortality.
This health policy supports SDGs 3 and 6, focusing on the neglected health issue of drowning. The paper discusses ways in which the issue can be framed to align with external priorities, particularly political contexts.

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