The aim of this workshop is to provide early-career statisticians and data scientists with the opportunity to get to know one another ahead of the conference. There will be a mixture of practical sessions and talks interspersed throughout the afternoon. Whether you’re a research student or working in industry, there will be something in this workshop for you.
The aim of this workshop is to provide early-career statisticians and data scientists with the opportunity to get to know one another ahead of the conference. There will be a mixture of practical sessions and talks interspersed throughout the afternoon. Whether you’re a research student or working in industry, there will be something in this workshop for you.
Planned schedule:
1 - 1.15pm - Welcome (Srshti Putcha, YSS)
1.15 - 1.30pm - Icebreaker
1.30 - 2.30pm - Causal Inference (pre-plenary) session (Ellie Van Vogt, Imperial College London)
2.30 - 2.45pm - Break
2.45 - 3.05pm - AIMS / S4S talk (Dario Domingo, Durham University)
3.05 - 3.25pm - RSS Memberships overview (Olga Mendes, RSS)
3.25 - 3.45pm - Careers session (Li-Vern Teo, Accenture)
3.45 - 4pm - Break
4 - 5pm - Generative art session (Nicola Rennie, Lancaster University)