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.

United Nations University, September 2018. 

Directly relating to SDG 8 (Decent Work and Economic Growth), this report offers an analysis of countries' development spending commitments to achieve target 8.7 (eradicate forced labour, modern slavery and human trafficking).

Advanced Rehabilitative Technology, Neural Interfaces and Devices, 2018, Pages 1-10

Presents insights into emerging technologies and developments that are currently used or on the horizon in biological systems and mechatronics for rehabilitative purposes. This chapter addresses SDG 10 by providing detailed description of the bio-mechatronic systems used and then presents implementation and testing tactics to address the challenges of rehabilitative applications in areas of bio-signal processing, bio-modelling, neural and muscular interface, and neural devices.
Elsevier, Neuron, Volume 99, 22 August 2018
As scientists and engineers, we must recognize the overwhelming evidence that we each harbor bias that influences our professional decisions. Yet, solving today's increasingly complex public health challenges requires diverse perspectives from multidisciplinary teams. We all have the opportunity to actively promote a more representative scientific community; let's harness the power of collective action to build diverse teams that deliver the most innovative science. Research shows that we all harbor bias that influences professional decisions.
Achieving the United Nations’ 17 Sustainable Development Goals (SDGs) results in many ecological, social, and economic consequences that are inter-related. Understanding relationships between sustainability goals and determining their interactions can help prioritize effective and efficient policy options. This paper presents a framework that integrates existing knowledge from literature and expert opinions to rapidly assess the relationships between one SDG goal and another.
About 7000 rare, or orphan, diseases affect more than 350 million people worldwide. Although these conditions collectively pose significant health care problems, drug companies seldom develop drugs for orphan diseases due to extremely limited individual markets. Consequently, developing new treatments for often life-threatening orphan diseases is primarily contingent on financial incentives from governments, special research grants, and private philanthropy.

EEG-Based Diagnosis of Alzheimer Disease, A Review and Novel Approaches for Feature Extraction and Classification Techniques, 2018, Pages 61-71

This chapter addresses goal 3 by discussing the application of machine learning algorithms to EEG datasets in Alzheimer's disease.
In this study, we explore the role of telemedicine in reducing gender-based barriers women and girls in rural areas of Nepal are facing to access healthcare services. Data were collected through a mixed method consisting of questionnaires survey, in-depth interviews, and focus group discussions with mobile phone and video conference-based telemedicine users. Data were analysed through descriptive and thematic analysis. Results revealed that telemedicine reduced travel restrictions, treatment expenses, and apprehension regarding sexual and reproductive health consultation.
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.
The 2015/2016 Global Monitoring Report, produced jointly by the World Bank and International Monetary Fund, details the progress the world has made towards global development goals and examines the impact of demographic change on achieving these goals.
Elsevier, Progress in Cardiovascular Diseases, Volume 60, June 2017
Running is a popular and convenient leisure-time physical activity (PA) with a significant impact on longevity. In general, runners have a 25%–40% reduced risk of premature mortality and live approximately 3 years longer than non-runners. Recently, specific questions have emerged regarding the extent of the health benefits of running versus other types of PA, and perhaps more critically, whether there are diminishing returns on health and mortality outcomes with higher amounts of running.