The Bayesian Nonparametrics (BNP) conference is a bi-annual international event that convenes leading experts and emerging researchers in the field of nonparametric Bayesian statistics. It is officially associated with the Bayesian Nonparametrics section of the International Society for Bayesian Analysis (ISBA). The conference highlights a range of topics, including both theoretical advancements and applied methodologies, covering:

• Asymptotic properties and foundational aspects of BNP models
• Applications in economics, finance, biostatistics, environmental science, and health
• Cutting-edge computational techniques and scalable methods
• Predictive inference and robustness
• The use of BNP in machine learning, deep learning, and structured data analysis
• Specialized areas like BNP mixture models, clustering, time series analysis, and random partitioning

Attendees are expected to uphold the ISBA code of conduct and share a commitment to creating a respectful, inclusive environment under the safeISBA initiative.

IMS Representative(s) on Program Committees: Alessandra Guglielmi on Program Committee (chair) and Michele Guindani on Local Organizing Committee (chair)