A symposium organized by NASH, the UCL Network of Applied Statisticians in Health
Data Science and Statistics in Sickness and in Health
6 June 2019, 1:30 - 6pm
UCL, Roberts 106 Lecture Theatre, Torrington Place<https://www.ucl.ac.uk/maps/roberts-106>
Speakers: Chris Holmes (Un Oxford) , Dionisio Acosta Mena (UCL), Jessica Barrett (MRC BSU Cambridge), Peter Diggle (Lancaster Un), Stijn Vansteelandt (Ghent Un and LSHTM)
The relationship between statistics and data science is intimate yet awkward. On one side is statistical science: mostly focused on parametric modelling and concerns about inference, leading to some of the abuses we see in much applied research. On the other side is data science: putting computers to work on large datasets to mindlessly identify patterns or to obtain unprincipled predictions. These rigid separations are unhealthy; both camps make huge contributions to our understanding of the world, but often hold each other at arm's length. However, their overlapping aims mean that each side can learn much from the other.
To register visit:
https://www.ucl.ac.uk/population-health-sciences/research/network-applied-statisticians-health/annual-event
This symposium is designed to help educate us and to produce interactions to facilitate a happier and healthier relationship between data science and statistics.
To become a member of NASH visit:
https://www.ucl.ac.uk/population-health-sciences/research/network-applied-statisticians-health
You may leave the list at any time by sending the command
SIGNOFF allstat
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