activity
20132024
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations · 769 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CL2024

From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives

Shuxian Fan, Adam Visokay, Kentaro Hoffman +4

In settings where most deaths occur outside the healthcare system, verbal autopsies (VAs) are a common tool to monitor trends in causes of death (COD). VAs are interviews with a su…

stat.ME2024

Do We Really Even Need Data?

Kentaro Hoffman, Stephen Salerno, Awan Afiaz +2

As artificial intelligence and machine learning tools become more accessible, and scientists face new obstacles to data collection (e.g. rising costs, declining survey response rat…

cs.SE2023★ 2 cited

Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?

Awan Afiaz, Andrey Ivanov, John Chamberlin +24

Software is vital for the advancement of biology and medicine. Analysis of usage and impact metrics can help developers determine user and community engagement, justify additional…

cs.CY2023★ 2 cited

Motivation, inclusivity, and realism should drive data science education

Candace Savonen, Carrie Wright, Ava M. Hoffman +4

Data science education provides tremendous opportunities but remains inaccessible to many communities. Increasing the accessibility of data science to these communities not only be…

cs.CY2022

Open-source Tools for Training Resources -- OTTR

Candace Savonen, Carrie Wright, Ava M. Hoffman +4

Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their…

q-bio.OT2022★ 16 cited

Diversifying the Genomic Data Science Research Community

The Genomic Data Science Community Network, Rosa Alcazar, Maria Alvarez +35

Over the last 20 years, there has been an explosion of genomic data collected for disease association, functional analyses, and other large-scale discoveries. At the same time, the…