UPREVE: An End-to-End Causal Discovery Benchmarking System
Suraj Jyothi Unni Paras Sheth Kaize Ding Huan Liu K. Selcuk Candan
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.