activity
20182025
most citedVisualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns

25 citations · 46 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2025

A Tale of Two Models: Understanding Data Workers' Internal and External Representations of Complex Data

Connor Scully-Allison, Katy Williams, Stephanie Brink +2

Data workers may have a a different mental model of their data that the one reified in code. Understanding the organization of their data is necessary for analyzing data, be it thr…

cs.HC2022★ 3 cited

Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments

Connor Scully-Allison, Ian Lumsden, Katy Williams +6

Interactive visualization can support fluid exploration but is often limited to predetermined tasks. Scripting can support a vast range of queries but may be more cumbersome for fr…

cs.HC2020

Guidelines For Pursuing and Revealing Data Abstractions

Alex Bigelow, Katy Williams, Katherine E. Isaacs

Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of…

cs.HC2019★ 25 cited

Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns

Katy Williams, Alex Bigelow, Katherine E. Isaacs

Common pitfalls in visualization projects include lack of data availability and the domain users' needs and focus changing too rapidly for the design process to complete. While it…

cs.PL2018★ 18 cited

Asynchronous Execution of Python Code on Task Based Runtime Systems

R. Tohid, Bibek Wagle, Shahrzad Shirzad +9

Despite advancements in the areas of parallel and distributed computing, the complexity of programming on High Performance Computing (HPC) resources has deterred many domain expert…