Human behaviour is often unpredictable, shaped by various factors like biases and mental shortcuts. How can we further enhance our initiatives to account for this wide range of influences on behaviour? Designed exclusively for UN personnel, our eight-week online 2025 UN System Behavioural Science Springboard Programme identifies tools, techniques, and mindsets from across the system to tailor evidence-based interventions that work with, not against, human behaviour.

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Using Data to End Violence Against Women

Around one in three women worldwide experiences physical or sexual violence in their lifetimes. This stark statistic is powerful. It demonstrates the scale of the problem and the urgency of eliminating violence against women (VAW). But powerful data like this doesn’t come into being by itself; it’s the result of careful data collection and analysis around the world. In this free course
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Introduction to Artificial Intelligence and Women, Peace and Security

This course seeks to outline AI applications of particular relevance to peace and conflict settings from a gender perspective. Ultimately, it aims to demonstrate how the Women, Peace and Security (WPS) agenda can be leveraged to ensure that AI technologies are deployed in a gender-responsive and conflict-sensitive manner, drawing on observations and experiences from Southeast Asia.
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SDG 09: Industry, Innovation & Infrastructure
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AI and Human Rights 101

This course introduces participants to the UN Guiding Principles on Business and Human Rights (UNGPs) and how they apply to the development and deployment of technology, particularly artificial intelligence (AI). Through expert insights and real-world examples, learners will explore how businesses are integrating Human Rights Due Diligence (HRDD) into technology operations to mitigate risks and uphold fundamental rights.
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AI governance in practice: developing secure and innovative frameworks

This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course includes IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data. In that manner, the course includes Big Data overview, Big Data ecosystem and reference architecture, Big Data technologies and use cases, as well as business and regulatory challenges for Big Data. Artificial Intelligence (AI) is targeted for processing Big Data in Internet and telecom networks. In that regard the course covers introduction to AI in ICT/telecom world, and AI applications in Internet and telecom environments, including Machine Learning aspects for 5G mobile networks. The course further includes Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course covers governance of IoT, Big Data, and AI.
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