Discovering causal relationships in complex socio-behavioral systems is challenging but essential for informed decision-making. We present Upload, PREprocess, Visualize, and Evaluate (UPREVE), a user-friendly web-based graphical user interface (GUI) designed to simplify the process of causal discovery. UPREVE allows users to run multiple algorithms simultaneously, visualize causal relationships, and evaluate the accuracy of learned causal graphs. With its accessible interface and customizable features, UPREVE empowers researchers and practitioners in social computing and behavioral-cultural modeling (among others) to explore and understand causal relationships effectively. Our proposed solution aims to make causal discovery more accessible and user-friendly, enabling users to gain valuable insights for better decision-making.

翻译：发现复杂社会行为系统中的因果关系具有挑战性，但对于明智决策至关重要。本文提出了UPREVE（上传、预处理、可视化与评估），一个用户友好的基于Web的图形用户界面（GUI），旨在简化因果发现流程。UPREVE允许用户同时运行多种算法、可视化因果关系并评估学习到的因果图的准确性。凭借其易用的界面和可定制的功能，UPREVE使社会计算与行为文化建模（及其他领域）的研究人员和实践者能够有效探索和理解因果关系。本文提出的解决方案旨在使因果发现更易用、更友好，帮助用户获得有价值的见解，从而做出更优决策。