Frontier ICTs such as Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT) are expected to have a greater impact on sustainable development and are also recognized as an important source of concerns for socio-economic development (especially policymaking) in developing countries. Therefore, this module provides fundamental information, challenges/risks, best practices, policy recommendations, and international cooperation agendas related to frontier ICTs that digital leaders, in particular policymakers in developing countries, should consider when developing and applying the frontier ICTs to enable sustainable development through innovation in their public sector and society.

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ITU
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Innovation ecosystem 101: Fundamentals on building competitive and innovative ICT-centric ecosystems

The course is Intended for policy-makers, decision-makers, innovators and ecosystem builders who wish to build thriving entrepreneurial communities that can navigate technological revolutions and create competitive ICT industries. The course introduces key terminologies, concepts, tools and steps to assess your country's innovation capacity through practical information. Upon completion of the course, you will understand: Innovation, digital ecosystems and digital transformation, and their relationship to national development priorities.
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SDG 09: Industry, Innovation & Infrastructure
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Taking sustainable urban mobility to the next level (Part 2)

In this course, you'll gain insights from global experts on cutting-edge practices in sustainable urban transport. Learn about Transit-Oriented Development (TOD), urban transformation with Sustainable Urban Mobility (SUM) solutions, decarbonizing the mobility sector, active mobility, safe roads strategies, and inclusive transport solutions.
Short (a few hours)
Online
Data Innovation
Digital Transformation
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SDG 11: Sustainable Cities & Communities
ITU
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Building the digital economy: Pathways in Healthcare and Government

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.
Short (a few hours)
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Digital Transformation
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SDG 03: Good Health & Well-Being
UNITAR
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Data Quality for Impact, with Python

This 2-week online course equips UN analysts and data practitioners with practical skills to systematically assess and improve data quality using Python.
Medium (a few days)
Online
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