Launched in 2021 by the Business Transformation and Accountability Division (BTAD), the Kamino training program equips United Nations personnel with critical data science skills. The program encompasses a series of courses, beginning with the foundational “Kamino 100” series, and expanding to advanced levels with the forthcoming “Kamino 200” and “Kamino 300” series. Designed to bolster data-driven decision-making across the Organization, the self-paced courses cover areas like data ingestion, machine learning, and visualization. Accessible through the “inspira” platform, the training is complimentary for all UN staff, ensuring a broad spectrum of personnel can benefit, regardless of role or location.

As a service to the system, UNSSC has designed five, freely available, self-paced, introductory e-learning modules, each focusing on a cutting-edge skill identified in the Quintet of Change - UN 2.0 Policy Brief (Innovation, Strategic Foresight, Behavioural Science, Data, Digital).

The “Blockchain for Government” training is a tailored program designed to help government officials understand and effectively use blockchain technology in public administration.

C4D offers a practical experience focused on equipping participants with essential tools and strategies for effective communication within the development sector. It covers key aspects such as strategic communication planning, where participants will learn to design and implement communication strategies that align with organizational goals. Additionally, the course emphasizes storytelling and content creation, helping participants develop the skills to craft engaging, human-centered narratives that resonate with their audience. It also explores best practices for using both online and offline communication channels to maximize the reach and impact of messages. Participants will gain exposure to the latest trends and innovative approaches in communication for development, enabling them to apply creative solutions in their work and drive positive change in their respective fields.