In the evolving field of scientific modeling research, computational notebooks have made steps to promote collaboration by providing interactive environments for code execution, visualization, and narrative composition; however they are still limited. To overcome these limitations, we introduce Terarium, a platform that attempts to socialize scientific modeling for a broad audience, including students, researchers, and data scientists.
Terarium
2024
2025
-
Scientific modeling for infectious diseases faces enduring challenges, including limited model transparency, poor traceability of assumptions and uncertainty, and difficulty adapting legacy models amid rapidly evolving scientific knowledge. Terarium is a novel, open-source modeling platform that integrates human-in-the-loop AI to address these gaps. This study presents Terarium and results from a systematic evaluation in epidemiological modeling, assessing its potential to accelerate modeling workflows while improving rigor and interpretability.
