Unlock the power of Wikidata with SPARQL in this hands-on workshop! Designed for Wikimedians at all skill levels, this session demystifies SPARQL through interactive demonstrations, real-world examples, and practical exercises. Learn to craft efficient queries, troubleshoot common pitfalls, and discover how to extract meaningful insights from the world’s largest open knowledge base—all while building skills that drive community impact and long-term sustainability.

As artificial intelligence continues to reshape the digital landscape, collaborative knowledge platforms like Wikimedia find themselves at a pivotal crossroads. This lecture explores the evolving relationship between Wikimedia and AI technologies, examining how machine learning, natural language processing, and large language models are transforming content creation, moderation, and user engagement on one of the world’s largest open knowledge platforms. We will discuss both the opportunities, such as improved accessibility, automated editing tools, campaign organization, editor retention, and multilingual expansion, as well as the ethical and practical challenges, including misinformation, bias, changes in attention span, and transparency. By analyzing recent developments and community responses, the lecture aims to highlight how Wikimedia can preserve its core values of openness, neutrality, and collaboration in an increasingly AI-driven world.