Stacks Image 1383
BACKGROUND
Causation is our framework for understanding how the world works, it is our basis for interventions to achieve desired outcomes. This topic continues to engage the imagination of scholars in an unusually wide range of disciplines, including computer science, neuroscience, psychology, epidemiology, cognitive science, sociology, philosophy, mathematics, and economics. There are exciting opportunities at the interface between these fields that this symposium will explore and foment. This ICLM meeting was funded by the UCLA Office of Interdisciplinary & Cross Campus Affairs.
SYMPOSIUM
It will take place in the UCLA Medical School Campus on September 25th, 2017 and it will cover a wide range of topics on the general topic of Causal Inference from computer science, to neuroscience, psychology, epidemiology, cognitive science, sociology, philosophy, mathematics, and economics. The speakers are world-renowned leaders in this far reaching topic with implication that touch every facet of the human experience.
Stacks Image 1183

Registration is free but required

For Hotels near UCLA go to:
PDF
For questions contact Alcino Silva (silvaa#mednet.ucla.edu)
SPEAKERS
Ralph Adolphs, (Neuroscience; Caltech )
Onyebuchi Arah (Epidemiology, Public Health, UCLA)
Aaron Blaisdell (Department of Psychology, UCLA)
Jonathan Braun (Pathology & Laboratory Med, UCLA)
Patricia Cheng (Department of Psychology, UCLA)
Frederick Eberhardt (Department of Philosophy, Caltech)
Sander Greenland (Department of Epidemiology, UCLA)
Chad Hazlett (Department of Statistics, UCLA)
Christopher Hitchcock (Department of Philosophy, Caltech )
William Hsu (Department of Radiological Sciences, UCLA)
Huiying Li (Department of Molecular & Medical Pharmacology, UCLA)
Mayank Mehta (Departments of Physics & Neurology, UCLA)
Ali Mosleh (Institute of Risk Sciences; UCLA)
Judea Pearl (Computer Science Department, UCLA)
Pietro Peron (Computer Science Department, Caltech)
Maya Petersen (Biostatistics; UC Berkeley)
Alcino J Silva (Neurobiology, Psychiatry and Psychology Departments, UCLA)
Caroline Uhler (Data Science; MIT)