In today’s rapidly evolving world, we face unprecedented societal challenges – social and economic inequality, climate change, unemployment, and technological disruptions, among others. These complex issues call for critical thinking perspectives and innovative solutions. Against this background, social innovation stands out as a crucial catalyst for addressing these challenges and fostering new strategies and sustainable solutions that traditional methods often overlook.

Learning how to use data for policymaking can be intimidating, but it doesn’t have to be. As part of the Data to Policy Initiative, this series of interactive trainings help policymakers in government learn how to make data-informed policymaking. Using the framework from UNDP’s Data to Policy Navigator, participants will work on their own challenges and gain knowledge that translates into immediate, tangible impact.

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools. Motivated by the high interest in developing with LLMs

The objective of this course is to build capacity among policymakers and stakeholders to better understand their science, technology, and innovation (STI) ecosystems and thus design and implement successful STI policies. The 2026 spring-summer session is closed for registration. The registration deadline was 20 February 2026. A new term and intake will be announced in Q4 2026.