From August 31 to September 6, 2025, the PRIDE team participated in the IAG-2025 Conference held in Rimini, Italy. The theme of this conference is "Geodesy for a Changing Environment", which provides an important opportunity for the international academic community to conduct in-depth exchanges and discussions on the key role of geodetic science in relevant fields. The conference theme aims to promote the geodetic community to focus on the impacts brought by environmental changes, pay attention to the increasingly severe various extreme events, and promote the formation of scientific and reasonable strategies to effectively identify and respond to potential sudden changes in the Earth system.

Prof. Jianghui Geng delivered a presentation titled "High-Precision Broad-Bandwidth Deformation Monitoring Using Mass-Market GNSS/Accelerometers". This research adopts an inter-satellite single-difference fusion scheme, which breaks free from the reliance on reference stations and effectively overcomes the issue of unstable clocks in smartphones. Consequently, it achieves centimeter-level broadband deformation monitoring based on mass-market smartphones. The research results indicate that mass-market GNSS/accelerometer devices hold significant potential in constructing low-cost and high-density observation networks.

Prof. Jianghui Geng delivered a report titled "GNSS Ambiguity Validation through Machine Learning". The report mainly introduced the use of machine learning to replace the traditional ratio value for the correctness test of ambiguity fixing. The accuracy has been greatly improved compared with the traditional ratio test in each arc segment and each satellite system. The report also introduced how to use machine learning to process data in the upcoming new version of the PRIDE-PPP -AR open-source software.

Master Long Zhao delivered a presentation titled "Subcarrier Observations from Wideband Signals for High-precision GNSS Positioning", introducing the team's latest research progress in high-precision positioning using subcarrier observations. The research results show that compared with traditional pseudoranges, subcarrier observations have lower noise levels and stronger anti-multipath capabilities, demonstrating broad application prospects in high-precision positioning.