Developed by the UN, for the UN, this digital platform — freely accessible anytime, anywhere from your computer, tablet or mobile phone — is intended to help inspire conversations, ideas, and action. This invaluable resource includes 21 tools, step-by-step directions, worksheets, case studies, and references, as well as a 27-question Diagnostic Assessment which provides actionable insight on every user’s readiness to innovate. Discover what kind of innovation profile you have: are you a “Collaborator,” a “Trailblazer,” or perhaps a “Implementor?”.

The first focus of this course is on the application, practice and development opportunities of AI in the healthcare industry, with a particular focus on the needs and realities of developing countries. It covers core AI technologies and their healthcare applications, practical paths for implementing AI healthcare projects in developing countries, and global trends and regional opportunities. Unique benefits include case studies tailored to developing regions, actionable implementation strategies, and insights into leveraging global resources for local development.

The course builds upon the Inclusive Digital Economies and Gender Equality Playbook, UNCDF’s practical how-to guide on using the market system development approach to decrease the digital and financial divide for women and girls, use technology to improve women’s economic opportunities and help to transform women into builders of emerging digital economies.

Big data and data analytics emerged quickly in the past decade and they aren't buzz words; they are a reality and they are all making an impact in education. Learning analytics are becoming essential for data-driven decisions in education. A key component of the future of learning institution, as they are used to optimize learning environments for students and employees. The data generated by digital learning ecosystem can guide training managers in making informed data-driven decisions, and students seeking for a personalized learning experience. By taking this course you will learn how to make data-driven decisions to optimize learning and the environments in which it occurs. The course is designed to increase your understanding of learning analytics and it will prepare you to make data-driven decisions about education improvement using a broad range of data collection, analytical, and visualization methods.