Data for Better Lives: A New Social Contract (Self Paced)
About this Course
The data revolution is transforming the world; and yet much of the value of data remains untapped. This course, based on the World Development Report 2021: Data for Better Lives , explores the tremendous potential of the changing data landscape to improve the lives of poor people, while also acknowledging its potential to open back doors that can harm individuals, businesses, and societies. To address this tension between the helpful and harmful potential of data, it details a new social contract that enables the use and reuse of data to create economic and social value, ensures equitable access to that value, and fosters trust that data will not be misused in harmful ways. Based on the WDR 2021 report, the course provides an overview of the recommendations on where public and private sector investments are the most critical, defines a rich program for policy reform and technical assistance, and highlights areas where global initiatives and partnerships can help to convene and facilitate cooperation at regional, bilateral and international levels. Therefore, it elaborates on the following: Conceptual framework through three pathways Potential of data from public sector, private sector and civil society organizations Creative reuses and data synergies Data governance in the area of infrastructure, laws and regulations, economic policies in the area of competition, trade and tax Policy recommendations using a maturity model approach Integrated national data system The course is open to anyone who has an interest in the subject and participants will be able to choose their own learning paths.Created by: World Bank Group
Level: Introductory
Related Online Courses
Statistics 1 Part 1 is a self-paced course from LSE which aims to introduce you to and develop your understanding of essential statistical concepts, methods and techniques, emphasising the... more
This course provides an introduction to basic statistical concepts. We begin by walking through a library of probability distributions, where we motivate their uses and go over their fundamental... more
The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the... more
Champions of digital transformation have many data technologies to choose from: Artificial intelligence Machine learning Cloud computing Digitization Predictive analytics Internet of... more
Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? In this course, part of the Data Science MicroMasters program, you will... more