Workshops: BELIV: Learning What's True, Doing What's Right
Organizers: Sandra Bae, Jürgen Bernard, Michael Correll, Mai Elshehaly, Takanori Fujiwara, Dan Keefe, Mahsan Nourani
Twenty years after the first BELIV in 2006, the BELIV workshop invites contributions on emerging and under-examined methodological challenges in visualization research, and fosters open discussions on how we establish the validity and scope of knowledge acquired in our domain, including all forms of systematic and empirical methods used to acquire this knowledge. The goal is to create space for members of the visualization research community to engage with a process of reflection and meta-discussion on empirical research practices in our domain, for example, on what level of rigor to require of our methods, how to choose methods and methodologies, and how to best communicate the results of empirical research. This year's focus will be on two pressing concerns in visualization research: 1) building towards truth in the midst of growing challenges to validity such as the pressures of the replication crisis and the ubiquitous presence of AI-augmented data and analytics as well as 2) building towards ethical research in a world in turmoil while maintaining our integrity as researchers and individuals.