Journal Article

Cargo-cult statistics and scientific crisis

In this new article in Significance magazine, BIDS Senior Fellow Philip B. Stark and co-author Andrea Saltelli (an adjunct professor in the Centre for the Study of the Sciences and the Humanities at the University of Bergen) comment on the poor practices that result in the failure of scientific results to be reproducible and replicable, and offer an historical account of how these issues may have originated.  


Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics

Single-cell transcriptomics allows researchers to investigate complex communities of heterogeneouscells. It can be applied to stem cells and their descendants in order to chart the progression from multipotentprogenitors to fully differentiated cells. While a variety of statistical and computational methods have been proposedfor inferring cell lineages, the problem of accurately characterizing multiple branching lineages remains difficultto solve.

The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries; A Collaborative Ethnography of Documentation Work

Data analytics increasingly relies on open source software (OSS) libraries that extend scripted languages like python and R. Software documentation for these libraries is crucial for people across all experience levels, but documentation work raises many challenges, particularly in open source communities. In this collaboration between ethnographers and data scientists, we discuss the types, roles, practices, and motivations around documentation in data analytics OSS libraries.