3 papers
stat.AP2026
Analyzing Students' Statistics Writing Before and After the Emergence of Large Language Models
Sara Colando, Erin Franke, Gordon Weinberg +1
The ability to communicate statistical results to domain experts and stakeholders is an important goal of the undergraduate statistics and data science curriculum. However, as larg…
q-bio.GN2025
Selecting ChIP-seq Normalization Methods from the Perspective of their Technical Conditions
Sara Colando, Danae Schulz, Johanna Hardin
Chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) provides insights into both the genomic location occupied by the protein of interest and the difference in…
stat.OT2024
Philosophy within Data Science Ethics Courses
Sara Colando, Johanna Hardin
There is wide agreement that ethical considerations are a valuable aspect of a data science curriculum, and to that end, many data science programs offer courses in data science et…