Measuring Sustainable Development

About this Course

Sustainable development is the most important global movement of our time. In 2015, the 193 member states of the United Nations unanimously adopted the 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals. These interconnected Goals aim to end poverty and promote economic prosperity, ensure social equity, and protect the environment. Above all, the 2030 Agenda commits to “leaving no one behind.” How do we know if we are on track to achieve the SDGs? Which Goals should different countries prioritize? And what kind of data do we need to ensure that everyone is counted? Launched in 2015 by the Sustainable Development Solutions Network (SDSN) and the Bertelsmann Stiftung, the Sustainable Development Report is the first worldwide study to assess where the world stands with regard to achieving sustainable development. The Report contains the SDG Index and Dashboards, which use a combination of official and unofficial data and indicators to understand each country’s progress on the 17 SDGs. In this short course, you will hear from some of the experts responsible for creating the Sustainable Development Report about the value of measuring progress on the SDGs, and how a tool like the SDG Index and Dashboards helps policymakers and other stakeholders make important decisions about their development priorities. You will examine the different types of data that can be used to measure development progress, and learn the technical steps needed to construct an index for the SDGs. Finally, you will explore regional and city-level indices, and discuss new approaches to SDG measurement and data-based decision-making.

Created by: SDG Academy

Level: Intermediate


Related Online Courses

We are all getting familiar with the image of a drone in the sky. Although flying a drone is fun, drones are not toys. More and more UAVs or drones are used by governments and companies to gain... more
Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a... more
Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part ofourProfessional Certificate Program in... more
In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R or IBM Data Analytics with... more
Este curso se orienta a la formación de profesionales en Inteligencia Empresarial mediante el aprendizaje de la plataforma Tableau, instrumento líder del sector. Tableau permite ayudar a las que p... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL