Learning in Machines and Brains Virtual Meeting on Causal Inference
 
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Learning in Machines and Brains Virtual Meeting on Causal Inference 

Thursday, July 30, 2020- Friday, July 31, 2020

Meeting from 12-2 p.m. EDT 

 

Overview

A virtual workshop on Causal Inference across Machine Learning, Economics, Philosophy and beyond, to be held via Zoom on July 30 and 31 from 12PM - 2PM EDT.  This meeting will be hosted by CIFAR’s Learning in Machines & Brains (LMB) program.  Our intent is to further explore causality at the intersection of several disciplines across the Academy based on our interest in understanding both the ability and limitations of current AI systems in their ability to understand the world around us.  This meeting will be a first of what we hope to be an ongoing collaborative and interdisciplinary conversation that bridges disciplines and builds more robust frameworks for thinking about causal inference.  The workshop will include sessions on:

  • Quasiexperimental  Methods of Causality
  • Causality, Agency, Representations and Discovery of Causal Variables and Structure

 

The CIFAR LMB Program Workshop on Causal Inference is generously supported by the Alfred P. Sloan Foundation 
 

Agenda

Thursday July 30 
12:00-12:10pm Welcome & Introductions
12:10-12:30pm Judea Pearl
Science vs. Data: Contesting the Soul of Data-Science
12:30-1:00pm Discussion
1:00-1:20pm  Alison Gopnik
New Work on Variable Choice and Extrapolation of Causal Relations to New Examples (both in toddlers!)
1:20-1:50pm Discussion
1:50-2:00pm Final remarks
   
Friday July 31
12:00-12:05pm Welcome 
12:05-12:25pm Yoshua Bengio
Causal Discovery from Unknown Interventions
12:25-12:40pm Discussion 
12:40-1:00pm Victor Chernozhukov
Impact of Masks, Policies,  Behavior on Early Covid-19 Pandemic in the US: an Investigation via Causal DAGs
1:00-1:15pm Discussion
1:15-1:35pm Caroline Uhler
Causal Inference from Interventional Data
1:35-1:50pm Discussion 
1:50-2:00pm General Discussion & closing

 

About CIFAR

CIFAR is a Canadian-based global research organization that convenes extraordinary minds to address the most important questions facing science and humanity By supporting long-term interdisciplinary collaboration, CIFAR provides researchers with an unparalleled environment of trust, transparency and knowledge sharing. Our time-tested model inspires new directions of inquiry, accelerates discovery and yields breakthroughs across borders and academic disciplines.