Code and data on team composition, collaboration, and impact in FDA Orange Book patents and related scientific papers.
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Updated
Nov 6, 2026 - Jupyter Notebook
Code and data on team composition, collaboration, and impact in FDA Orange Book patents and related scientific papers.
Nayani Ilangakoon is at ESIIL Summit 2024. This shows all I do at ESIIL summit at CU Boulder.
A collection of example notebooks, scripts, and other documentation for interfacing with the Precision Health Cloud
Small, honest tools for measuring a human–AI pair as one working unit: observed state, an agent's voice, cold reviews, open decisions.
Analyses of AI-related research across author gender, career stages, team composition, countries, and scientific outcomes.
Codes for 'Team experience and the local structure of scientific recombination'
Mixed-methods evaluation of an NSF network-of-networks program using surveys, focus groups, and bibliometric and co-authorship network analysis
team age structure
Interdisciplinary Research in Artificial Intelligence: Lessons from COVID-19
How to build team science and how to collaborate with not so obvious others
To associate your repository with the team-science topic, visit your repo's landing page and select "manage topics."