Science and Technology Conference (SnT) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) is committed to advancing the scientific and technological progress of the Comprehensive Nuclear-Test-Ban Treaty (CTBT), relying on scientific and technological innovation to strengthen the treaty verification system capabilities of CTBT and accelerating the progress of its entry into force. As seismology is an important means for nuclear-test-ban monitoring, and the scientific advances of the SnT conference is helpful to review the development of earthquake science and technology, this paper systematically analyzes the scientific topic setting and the advances of seismic event discrimination research in the SnT conference. The analysis showed that the themes of “the earth as a complex system” and “advances in sensors, networks and processing”, as well as the seismological approaches of the nuclear-test-ban monitoring, attracted more attention. Seismic event discrimination remains a critical CTBT-related seismology problem, and the same is the focus of attention in the applied research on the North Korean nuclear test series, while new technologies such as deep learning and machine learning have shown a rapid development trend in event discrimination research.