Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related
to the need to maintain a complete account of the provenance of data, processes, and …

Several fields of science are experiencing a" replication crisis" that has negatively impacted
their credibility. Assessing the validity of a contribution via replicability of its experimental …

Drawing reliable inferences from data involves many, sometimes arbitrary, decisions across
phases of data collection, wrangling, and modeling. As different choices can lead to …

As science becomes increasingly data-intensive, the requirements for comprehensive
Research Data Management (RDM) grow. This often overwhelms scientists, requiring more …

The reproducibility crisis refers to the inability to reproduce scientific experiments and is one
of science's great challenges. Alarming reports and growing public attention are leading to …

Within the wider open science reform movement, HCI researchers are actively debating how
to foster transparency in their own field. Publication venues play a crucial role in instituting …

Over the past decade, a crisis of confidence in published scientific findings has catalyzed
widespread response from the research community, particularly in the West. These …

Uncertainty is prevalent characteristic of contemporary life, and a central challenge of HCI.
This one-day workshop will explore how HCI has and might continue to engage uncertainty …

Science faces a reproducibility crisis. There is a need to establish open science practices
within the academic reputation economy. Open Science Badges address this issue by …

Many people find statistics confusing, and perhaps even more confusing given recent
publicity about problems with traditional p-values and alternative statistical techniques …