At UrbComp 2025 (The 14th International Workshop on Urban Computing), held within KDD 2025 in Toronto, Canada, from 3–7 August 2025, second-year doctoral student Haruki Yonekura gave an oral presentation:
Best Workshop Paper Candidate
Evaluating Attribute Inference Risks in Urban Care Taxi Arrival Time Prediction Models Using Geospatial Data
The 14th International Workshop on Urban Computing, held in conjunction with the 31st ACM SIGKDD 2025
Related Project:地域を支える知のデジタライゼーションと共有基盤
Out of 10 submissions, 6 papers were accepted in the workshop, and this paper was selected as a Best Workshop Paper Candidate.
KDD is a CORE A* top-tier conference in the field of data mining. This year, the acceptance rates for the Principal Tracks in KDD2025 were informed as below.
+---------------------------------------------+---------------------+----------------------+
| Acceptance Rate | August 2024 Cycle | February 2025 Cycle |
+---------------------------------------------+---------------------+----------------------+
| Research Track (92 sessions) | 19.3% (187/967) | 18.4% (365/1988) |
| Applied Data Science Track (29 sessions) | 19.9% (63/316) | 18.4% (92/500) |
| Datasets and Benchmarks Track (11 sessions) | 23.7% (68/286) |
+---------------------------------------------+---------------------+----------------------+It appears that KDD 2026 is scheduled to be held in Jeju Island, Korea.
Further information:
UrbComp 2025 – https://urbcomp25.netlify.app/
KDD 2025 – https://kdd2025.kdd.org/
