Date(s) - 13/08/2019 - 15/08/2019
Data Science, Statistics & Visualisation (DSSV 2019) on 13-15 August 2019 in Kyoto, Japan
The conference of Data Science, Statistics & Visualisation (DSSV 2019) will take place on August 13-15, 2019 in Kyoto, Japan. This conference is a satellite meeting of the 62nd ISI World Statistics Congress. The venue of DSSV 2019 is the Imadegawa Campus of Doshisha University. The details can be found at the web-site https://iasc-isi.org/dssv2019/. At this site, registration and abstract submission will be received since Feb. 5, 2019, with the deadline of abstract submission May 7, 2019. Further, at the site, rooms in the hotels convenient for the venue can be reserved, soon later.
This meeting shall create a forum to discuss recent progress and emerging ideas in these different disciplines. The conference welcomes contributions to practical aspects of data science, statistics and visualisation, and presentations can cover topics such as machine learning, verbalization of data, big data infrastructures and analytics, advanced computing, and other important themes.
Di Cook, Kwan-Liu Ma, and Richard Samworth present keynote talks. Genevera Allen, Yongdai Kim, Hidetoshi Shimodaira, and Carson Sievert give invited talks. Those talks ensure a high-quality scientific program. The committee also is considering invitation of other speakers. In addition, the invited sessions from the International Society for Business and Industrial Statistics (ISBIS), the Bernoulli Society, and others will contribute to an exciting program.
The venue, neighboring Kyoto Imperial Palace, can be reached within 10 minutes via a subway from the Kyoto central station. The welcome reception and conference dinner with traditional Japanese style will be thrown at the areas close to the downtown, which can be reached easily from the venue within about twenty minutes via some transports. Since 794 to 1868, the successive emperors lived in Kyoto, and there are 17 world heritages (including Kinkakuji temple presented left), each of which can be reached by a half-day travel at most from the venue.