Capacity Building on Emerging Technology was conducted from 12-16 July 2021.
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Emerging Technology for the Last Mile Connectivity
| Date | Time | Language |
|---|
| Monday, 12 July 2021 | 10h00 - 13h00 [CEST] | English |
| Tuesday, 13 July 2021 | 10h00 - 13h00 [CEST] | English |
| Wednesday, 14 July 2021 | 10h00 - 13h00 [CEST] | English |
| Course Description |
|---|
| This course provided an overview of the emerging technology for the last mile connectivity. This course was based on two ITU products: The Last-Mile Connectivity Internet Solutions Guide and Broadband Connectivity Toolkit. |
| The Last-Mile Connectivity Internet Solutions Guide was developed to support the design and development of programmes and interventions that address two of these main issues: the lack of Internet infrastructure availability in certain areas; high Internet service prices that make Internet connectivity unaffordable for local populations. |
| Broadband Connectivity Toolkit is a set of methodologies, software tools and parameters that allows decision makers, network designers or infrastructure owners to support their decisions about connecting of unconnected. |
Upon completion of this course, participants will be able to:
- Identify Required Bandwidth for a specific object (locality's access network, school, hospital etc.)
- Select affordable technology for connecting a locality to broadband transport backbones (Middle-Mile connections for localities, schools, hospitals etc.), including choosing the best network topology for the multiple objects network
- Select technology for implementation broadband access networks in localities
- Determine of the cost of LAN organization, including the cost of solar energy generator
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| The target audience for this course was telecommunication engineers/technicians, software developers or government professionals working on strategic/technical projects and/or software products targeting cost-effective, quality and affordable technical solutions. |
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5G — The Path to the Next Generation
| Date | Time | Language |
|---|
| Monday, 12 July 2021 | 14h00 - 17h00 [CEST] | English |
| Tuesday, 13 July 2021 | 14h00 - 17h00 [CEST] | English |
| Wednesday, 14 July 2021 | 14h00 - 17h00 [CEST] | English |
| Course Description |
|---|
| The mobile industry is preparing to embark on the transition to fifth generation (5G) technology, which will build on the achievements of 4G while also creating new opportunities for innovation. 5G will usher in a new era that will see connectivity become increasingly fluid and flexible. |
| This course covered the key aspects of 5G technology and examined the role governments and regulators could play in helping unlock the benefits of future 5G services for their citizens. |
Course Objectives:
- Learn about the underlying technologies and concepts associated with 5G.
- Discover the key differences between 5G and previous generations of mobile technology.
- Understand how governments and regulators can help accelerate the development of 5G technology and services in their countries.
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| The target audience for this course was telecommunication engineers/technicians, software developers or government professionals working on strategic/technical projects and/or software products targeting cost-effective, quality and affordable technical solutions. |
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AI for Good: Technology, Strategy and Policy Development
| Date | Time | Language |
|---|
| Thursday, 15 July 2021 | 10h00 - 13h00 [CEST] | English |
| Friday, 16 July 2021 | 10h00 - 13h00 [CEST] | English |
| Course Description |
|---|
| This training course surveyed current and emerging legal and policy issues related to AI. We have considered distinct settings where regulation of AI is emerging as a challenge or topic of interest, including data protection laws, sectoral regulatory frameworks (health, agriculture, transport, education, etc.), intellectual property (IP) laws, anti-trust/competition laws, consumer protection laws, cyber and information security laws. We also touched upon issues such as the proliferation of algorithmic decision-making and autonomous systems; the issues of ethics, fairness, transparency and accountability raised by AI techniques such as machine learning; balances and interactions between regulation and innovation; the effects of AI on human rights and economic well-being. In the end, the training course will give an overview of the main building blocks of national AI and data strategies for development, by using specific examples/case studies of countries that have been successful in formulating AI and data strategies fit for their development purposes. |
As a result of the training course, the participants were able to:
- Understand the key legal, ethical and public policy issues related to AI and big data in development context;
- Learn about emerging challenges and risks coming from AI and its applications;
- Understand the implications of regulating AI and big data in development context;
- Assess critically the consequences of AI and understand the opportunities and challenges it creates in the fields of policy and regulation;
- Evaluate compliance requirements and ethical principles based on AI principles and governance framework;
- Establish procedures to identify and address ethical problems associated with implementation of automation and AI which is changing the face of the global workforce;
- Implement changes according to ethical-legal requirements and draft professional code of conduct and standards codes of practice;
- Maintain an environment conducive for data-driven innovations while upholding ethical and legally compliant data usage.
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| This half-day course was designed for policy practitioners in government, international development professionals, and private sector participants who are looking to get ahead of the curve and put AI to work for the developing world. The course was easily accessible for those with a limited baseline knowledge of AI while also providing relevant policy insights for those who have an intermediate skill level. Participants left the course with a wider understanding of regulation, public policy, ethics and governance of AI in the developing world context, along with tangible lessons learned for achieving results and outcomes with AI-related projects. |
| The target audience for this course was telecommunication engineers/technicians, software developers or government professionals working on strategic/technical projects and/or software products targeting cost-effective, quality and affordable technical solutions. |
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Low Earth Orbit Communication Satellites
| Date | Time | Language |
|---|
| Thursday, 15 July 2021 | 14h00 - 17h00 [CEST] | English |
| Friday, 16 July 2021 | 14h00 - 17h00 [CEST] | English |
| Course Description |
|---|
| The course provided a general introduction about how LEO communication satellites work, a description of space and ground segment, the various use cases LEO satellites enable, and different aspect of local and international regulations applicable to their operations. |
Upon completion of this course, participants were able to:
- Have a better understanding of how LEO satellite communication works
- Key differences between LEO, MEO and GEO satellites
- High level understanding of Space and Ground segment of a Non-geostationary satellite orbit (NGSO).
- Best practices in terms of regulation and policy to enable LEO constellations
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| The target audience for this course was ICT/Telecommunications regulators and policy makers with an interest in connectivity and satellite communications. |
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Industrial Cybersecurity
| Date | Time | Language |
|---|
| Tuesday, 13 July 2021 | 14h00 - 17h00 [CEST] | English |
| Course Description |
|---|
| This course provided audience with unique expertise in the area of critical infrastructure cyber security. The course covered typical threats and vulnerabilities and industrial control systems |