modelRxiv: A Platform for the Dissemination and Interactive Display of Models.

Area of Science:

• Ecology
• Evolutionary Biology
• Computational Biology

Background:

• Biological process modeling is crucial in ecology and evolutionary biology.
• Increasing model complexity hinders the dissemination and accessibility of research findings.
• Current methods for sharing and exploring model parameter spaces are often technically challenging.

Purpose of the Study:

• To develop an interactive platform, modelRxiv, for biological model dissemination and analysis.
• To overcome technical barriers associated with diverse modeling frameworks and environments.
• To improve the accessibility, reproducibility, and validation of ecological and evolutionary models.

Main Methods:

• Development of modelRxiv, an interactive repository for biological models.
• Utilization of large-language models (LLMs) to ensure platform language-agnosticism.
• Creation of a unified interface for model analysis, abstracting technical implementation details.

Main Results:

• modelRxiv provides a centralized, accessible platform for biological models.
• The LLM integration facilitates model onboarding and broadens user accessibility.
• The platform enables users to analyze models without requiring technical expertise in their implementation.

Conclusions:

• modelRxiv significantly enhances the sharing and utilization of complex biological models.
• The platform promotes greater reproducibility and validation in ecological and evolutionary research.
• modelRxiv democratizes access to sophisticated biological modeling tools for the scientific community.