Deadline:

July 19, 2026 [11:59 pm AoE]

Call for Participation

The reproducibility of research in wearable and ubiquitous computing is increasingly important as studies become more complex, relying on diverse sensors, datasets, and machine learning pipelines. This workshop aims to bring together researchers, practitioners, and tool developers to share methods, tools, and best practices that make UbiComp research more transparent, verifiable, and reusable. Topics of interest: The workshop will focus on, but is not limited to, anything related to improving the reproducibility of UbiComp research. This includes the following topics:

  • Open-Source Tooling for Reproducible Pipelines
  • Benchmark Datasets & Standardization (with focus on ease of use)
  • Best Practices for methodological transparency
  • Reproducible Machine Learning
  • Tools for Data Sharing & Privacy-Preserving Reproducibility
  • Open Hardware & Firmware Artifacts
  • Infrastructure for Sharing Code, Data, and Experiments
  • Case-Studies Showcasing (Un-)Successful Reproduction of Past Studies

We wish to encourage you to also submit your work, if your submission does not strictly fall under these topics, but you think it is relevant to the workshop scope.

Submission Guidelines

To facilitate a robust exchange of research and practical insights, we invite participants to submit short papers formatted according to the ACM double-column UbiComp-ISWC 2026 Proceedings. Submissions should address key aspects of reproducibility in ubiquitous and wearable computing research, including but not limited to: issues with reproducibility, open-source tools and datasets, position papers, challenges and considerations, and reproducibility case studies. We encourage submissions in one of the three formats:

  • Position papers (2-4 pages, excluding references and appendices) presenting perspectives, challenges, or visionary ideas.
  • Research proposals (2-4 pages, excluding references and appendices) outlining ongoing or planned research, including preliminary findings.
  • Research Papers (4-6 pages, excluding references and appendices) presenting mature research findings or well-developed concepts.