Welcome to the official website of the Reproduce-UbiComp Workshop!

Reproduce: The First Workshop on Reproducible Methods for Wearable Sensing and Ubiquitous Computing

Wearable and ubiquitous computing research depends on real-world data, heterogeneous devices, and complex machine learning pipelines. Missing code, undocumented preprocessing steps, and hardware-specific assumptions are just some of the hurdles researchers face when trying to build on prior work. In wearable sensing specifically, challenges run even deeper: sensor placement varies across participants, sampling rates differ between devices, and privacy constraints often prevent data from being shared at all. This workshop brings together researchers to share methods, tools, and best practices that make UbiComp research more transparent, verifiable, and reusable. Topics of interest include open-source tooling, benchmark datasets, reproducible machine learning, data sharing, open hardware, and case studies of both successful and unsuccessful reproduction attempts.

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Help us plant the seeds!

Reproducibility is not just about sharing code. It is about cultivating habits, tools, and a culture that lets science grow. And it starts with small, deliberate choices — like setting random.seed(42). Join us in Shanghai and help the community take root.