The International Workshop on Spatio-Temporal Data Mining from the Web

We propose a comprehensive full-day workshop (with at least 8 accepted papers, 4 keynote talks, and over 70 attendees) at WWW 2025, catering to professionals, researchers, and practitioners who are interested in sensing, mining, and understanding big and heterogeneous spatio-temporal data generated from the web (e.g., social media posts, geotagged images, mobility traces) to tackle real-world challenges, such as climate change, disaster response, urban planning, and location-based social networks. The workshop will not only offer a platform for knowledge exchange but also acknowledge outstanding contributions through a distinguished Best Paper Award. This workshop would be sponsored by JD Technology, with other committee members from MIT, CMU, UCB, and etc. Note that this will be the fourteenth time that our core members have organized a similar workshop. The previous 13 workshops were hosted with SIGKDD and SIGSPATIAL, each of which attracted over 70 participants and 30 submissions on average.