Dear colleagues, The 35th ACM International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2027) will take place in Chicago, USA, from June 9 to 12, 2027. ACM UMAP 2027 will be a fully in-person, on-site conference. UMAP 2027 continues to bring together research in AI and HCI to support effective human–AI collaboration through interactive systems that can model, adapt, and personalize to their users. We warmly invite proposals for 90-minute tutorials to be held in conjunction with ACM UMAP 2027. Tutorials are an opportunity to take the community on a deeper dive into a topic, guided by experts in the field. They may be introductory or advanced, research-focused or practice-oriented, and can cover both established and emerging topics related to interactive systems that can model, adapt, and personalize to their users. The most successful tutorials actively engage participants by incorporating hands-on and/or interactive elements. We welcome proposals from both academia and industry. Example Topics of Interest Topics may include, but are not limited to: * Generative AI and Personalization * Generative AI and Adaptation * Domain-Specific Challenges of User Modeling * Evaluation of Personalized/Adaptive Technologies * Knowledge Representation and Reasoning * Practical Tools and Frameworks * Conversational Agents and Interactive Personalization * Responsible Personalization in Practice * User Control and Agency * Cross-Domain and Multi-Stakeholder Personalization * Human-AI Collaboration **Important dates (11:59 PM AoE: Anywhere on Earth)** * **Submission deadline:** December 11, 2026 * **Notification:** January 15, 2027 * **Tutorial Day:** June 9, 2027 More information, including submission instructions and template requirements, is available at: https://um.org/umap2027/call-for-tutorial-proposals/ Please feel free to share this Call for Tutorial Proposals with colleagues and researchers who may be interested. Best regards, The ACM UMAP 2027 Organizing Committee *We apologize if you receive multiple copies of this CfP.*