Eunice Jun
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View article: PriorWeaver: Prior Elicitation via Iterative Dataset Construction
PriorWeaver: Prior Elicitation via Iterative Dataset Construction Open
In Bayesian analysis, prior elicitation, or the process of explicating one's beliefs to inform statistical modeling, is an essential yet challenging step. Analysts often have beliefs about real-world variables and their relationships. Howe…
View article: PLanet: Formalizing Assignment Procedures in the Design of Experiments
PLanet: Formalizing Assignment Procedures in the Design of Experiments Open
Carefully constructed experimental designs are essential for drawing valid, generalizable conclusions from scientific experiments. Unfortunately, experimental designs can be difficult to specify, communicate clearly, and relate to alternat…
View article: Beyond Code Generation: LLM-supported Exploration of the Program Design Space
Beyond Code Generation: LLM-supported Exploration of the Program Design Space Open
In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is characterized by navigating a space of alternative problem formulati…
View article: rTisane: Externalizing conceptual models for data analysis prompts reconsideration of domain assumptions and facilitates statistical modeling
rTisane: Externalizing conceptual models for data analysis prompts reconsideration of domain assumptions and facilitates statistical modeling Open
Statistical models should accurately reflect analysts' domain knowledge about variables and their relationships. While recent tools let analysts express these assumptions and use them to produce a resulting statistical model, it remains un…
View article: rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality
rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality Open
Statistical models should accurately reflect analysts' domain knowledge about variables and their relationships. While recent tools let analysts express these assumptions and use them to produce a resulting statistical model, it remains un…
View article: Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting
Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting Open
In recent years, researchers have proposed a number of automated tools to identify and improve floating-point rounding error in mathematical expressions. However, users struggle to effectively apply these tools. In this paper, we work with…
View article: Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting
Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting Open
In recent years, researchers have proposed a number of automated tools to identify and improve floating-point rounding error in mathematical expressions. However, users struggle to effectively apply these tools. In this paper, we work with…
View article: Understanding and Supporting Debugging Workflows in Multiverse Analysis
Understanding and Supporting Debugging Workflows in Multiverse Analysis Open
Multiverse analysis—a paradigm for statistical analysis that considers all combinations of reasonable analysis choices in parallel—promises to improve transparency and reproducibility. Although recent tools help analysts specify multiverse…
View article: Improving Programming for Exploratory Digital Fabrication with Inline Machine Control and Styled Toolpath Visualizations
Improving Programming for Exploratory Digital Fabrication with Inline Machine Control and Styled Toolpath Visualizations Open
Makers from increasingly diverse backgrounds use digital fabrication machines to explore novel design spaces. However, software tools for fabrication are designed primarily for replication-based tasks; programming machines for bespoke appl…
View article: Understanding and Supporting Debugging Workflows in Multiverse Analysis
Understanding and Supporting Debugging Workflows in Multiverse Analysis Open
Multiverse analysis, a paradigm for statistical analysis that considers all combinations of reasonable analysis choices in parallel, promises to improve transparency and reproducibility. Although recent tools help analysts specify multiver…
View article: Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships
Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships Open
Proper statistical modeling incorporates domain theory about how concepts\nrelate and details of how data were measured. However, data analysts currently\nlack tool support for recording and reasoning about domain assumptions, data\ncollec…
View article: Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications
Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications Open
Data analysis requires translating higher level questions and hypotheses into computable statistical models. We present a mixed-methods study aimed at identifying the steps, considerations, and challenges involved in operationalizing hypot…
View article: Digestif
Digestif Open
Online experiments allow researchers to collect data from large, demographically diverse global populations. Unlike in-lab studies, however, online experiments often fail to inform participants about the research to which they contribute. …
View article: The potential for scientific outreach and learning in mechanical turk experiments
The potential for scientific outreach and learning in mechanical turk experiments Open
The global reach of online experiments and their wide adoption in fields ranging from political science to computer science poses an underexplored opportunity for learning at scale: the possibility of participants learning about the resear…