Harris Keith D, Hadari Guy, Greenbaum Gili
Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Jerusalem, Israel.
Ecol Lett. 2025 Jan;28(1):e70042. doi: 10.1111/ele.70042.
Modelling the dynamics of biological processes is ubiquitous across the ecological and evolutionary disciplines. However, the increasing complexity of these models poses a challenge to the dissemination of model-derived results. Often only a small subset of model results are made available to the scientific community, with further exploration of the parameter space relying on local deployment of code supplied by the authors. This can be technically challenging, owing to the diversity of frameworks and environments in which models are developed. To address this issue, we developed a platform that serves as an interactive repository of biological models, called modelRxiv. To facilitate adding models to modelRxiv, we utilise large-language models (LLMs) to make the platform language-agnostic. The platform provides a unified interface for the analysis of models that do not require any technical understanding of the model implementation, thus improving the accessibility, reproducibility and validation of ecological and evolutionary models.
对生物过程的动态进行建模在生态学和进化学科中无处不在。然而,这些模型日益增加的复杂性对模型衍生结果的传播构成了挑战。通常只有一小部分模型结果会提供给科学界,对参数空间的进一步探索依赖于作者提供的代码在本地的部署。由于模型开发所使用的框架和环境多种多样,这在技术上可能具有挑战性。为了解决这个问题,我们开发了一个平台,名为modelRxiv,作为生物模型的交互式存储库。为了便于将模型添加到modelRxiv,我们利用大语言模型(LLMs)使该平台与语言无关。该平台为模型分析提供了一个统一的界面,不需要对模型实现有任何技术理解,从而提高了生态和进化模型的可及性、可重复性和可验证性。