Wednesday 08 August 2018
Speaker:  Andrey Ustyuzhanin (Yandax School of Data Analysis)
Title:  "Bridging the gap between scientific research and data science"


Advances in the development of data analysis techniques and software gives enough reason to claim those are going to be 
adopted by any scientific field. The adoption process may differ significantly for various areas, although there are 
specific patterns that can be spotted. In this discussion, I’m going to cover some of the most notable ones. Explicitly 
I’d like to focus on trends and challenges for bridging domain-science and data-science communities. Challenge-driven 
research takes the most impressive position here. Some examples will be showcased on Kaggle or Codalab platforms.  
I'll provide illustrations from the particle physics field and possible venues for such development as an invitation 
for a broader discussion with the audience.