Program
s
Spring 2022

Causality

Jan. 11May 13, 2022

This program aims to integrate advances and techniques from theoretical computer science into methods for causal inference and discovery.

Although attempts to characterize causal relations can be found in some of the oldest written records, the history of the usage of causal concepts within scientific discussions over the past 100 years has been rocky, varying from the outright denial of any role of causality in mature scientific theories to a disingenuous usage of ambiguous terms that obscure the role of cause and effect (e.g., "link," "connection," etc.).

A substantive development of new formal approaches to causality in the 1970s and 1980s precipitated a change in attitude toward the scientific investigation of causal questions. The change was led by the development of two largely intertranslatable mathematical frameworks: the potential outcome framework and the causal graphical models framework. These frameworks integrated three concepts central to the notion of causation: (1) the connection between the underlying causal relations and observed data, (2) the difference that interventions can make to a causal system, and (3) counterfactual statements about a system. All these aspects of causality play a central role in scientific testing and explanation, often constituting the goal of scientific inquiry itself. 

The mathematization of questions of causality has resulted in the development of inference techniques and learning methods to infer causal relations from data. These formal approaches are now starting to spread throughout the applied sciences, where just about any field of study is seeing a renewed and explicit interest in tackling causality.

Broad application of these theoretical frameworks in scientific domains requires not only conceptual clarity and "in principle" methods, but a detailed understanding of how the methods behave in practice, how to scale and approximate the ideally desired computations, and how to optimize methods for the particular constraints present in a domain. 

This program will bring together theoretical and applied researchers from a broad variety of domains with the goal of understanding the complexity, optimizations, and possible approximation regimes required to turn the methods of causal inference into a broadly applicable scientific toolbox.

sympa [at] lists.simons.berkeley.edu (body: subscribe%20causalityannouncements2022%40lists.simons.berkeley.edu) (Click here to subscribe to our announcements email list for this program).

This program is supported in part by the Alfred P. Sloan Foundation.

This program is partially supported by the Foundations of Data Science Institute. We gratefully acknowledge the support of the NSF through grant DMS-2023505.

Organizers:

Frederick Eberhardt (Caltech; chair), Constantinos Daskalakis (Massachusetts Institute of Technology), Marloes Maathuis (ETH Zürich), Thomas Richardson (University of Washington), Leonard Schulman (Caltech), Vasilis Syrgkanis (Microsoft Research), Caroline Uhler (MIT)

Long-Term Participants (including Organizers):

Bryon Aragam (University of Chicago), Arnab Bhattacharyya (National University of Singapore, Singapore), Peter Bickel (UC Berkeley), Emma Brunskill (Stanford University), Moses Charikar (Stanford University), James Cussens (University of Bristol), Constantinos Daskalakis (Massachusetts Institute of Technology), Vanessa Didelez (Leibniz Institute, University of Bremen), Peng Ding (University of California, Berkeley), Frederick Eberhardt (Caltech; chair), Robin Evans (University of Oxford), Avi Feller (UC Berkeley), Maria Glymour (UCSF), Isabelle Guyon (Université Paris-Saclay), Benjamin Jantzen (Virginia Tech), Julie Josse (Polytechnique), Nathan Kallus (Cornell University), Shiva Kasiviswanathan (Amazon), Christoph Kern (University of Mannheim), Valerie King (University of Victoria), Issa Kohler-Hausmann (Yale Law School), Sara Magliacane (University of Amsterdam), Daniel Malinsky (Columbia University), Raghu Meka (UCLA), Karthika Mohan (Oregon State University), Ismael Mourifie (University of Toronto), Betsy Ogburn (John Hopkins), Emilija Perković (University of Washington), Maya Petersen (UC Berkeley), Sam Pimentel (UC Berkeley), Yuval Rabani (The Hebrew University of Jerusalem), Kavita Ramanan (Brown University), Benjamin Recht (UC Berkeley), Thomas Richardson (University of Washington), James Robins (Harvard University), Sherri Rose (Stanford University), Dominik Rothenhaeusler (Stanford University), Andrea Rotnitzky (Torcuato Di Tella University), Bernhard Schölkopf (Max Planck Institute for Intelligent Systems), Leonard Schulman (Caltech), Vira Semenova (UC Berkeley), Ilya Shpitser (Johns Hopkins University), Piyush Srivastava (Tata Institute of Fundamental Research), Vasilis Syrgkanis (Microsoft Research), Johannes Textor (Radboud University Nijmegen, The Netherlands), Jin Tian (Iowa State University), Sofia Triantafyllou (University of Crete), Caroline Uhler (MIT), Mark van der Laan (UC Berkeley), Stefan Wager (Stanford University), Bin Yu (UC Berkeley), Jiji Zhang (Hong Kong Baptist University)

Research Fellows:

Anish Agarwal (UC Berkeley), Sanghamitra Dutta (JP Morgan), Richard Guo (University of Cambridge), Christopher Harshaw (Yale University), Kirankumar Shiragur (Stanford), Rahul Singh (MIT), Angela Zhou (UC Berkeley)

Visiting Graduate Students and Postdocs:

Raghavendra Addanki (University of Massachusetts Amherst), Kartik Ahuja (University of Montreal), Ankur Ankan (Radboud University), Patrick Burauel (Caltech), Yeshwanth Cherapanamjeri (UC Berkeley), Davin Choo (National University of Singapore (NUS)), Benedicte Colnet (Inria), Yuval Dagan (MIT), Xiaowu Dai (UC Berkeley), Ankan Ganguly (Brown University), Philips George John (National University of Singapore (NUS)), Spencer Gordon (Caltech), Themistoklis Gouleakis (National University of Singapore (NUS)), Wenshuo Guo (UC Berkeley), Kevin Hsu (University of Victoria), Wei Hu (UC Berkeley), Zhongyi Hu (University of Oxford), Anthimos Vardis Kandiros (MIT), Nur Kaynar (UCLA), Esty Kelman (National University of Singapore), Hao Liu (Caltech), Imke Mayer (Inria), Dimitrios Myrisiotis (National University of Singapore), Juan Perdomo (UC Berkeley), Alexander Reisach (University of Amsterdam), Abhishek Shetty (UC Berkeley), Chandler Squires (), Mirthe van Diepen (Radboud University), Thanh Vinh Vo (National University of Singapore), Julius von Kügelgen (Max Planck Institute for Intelligent Systems), Yixin Wang (UC Berkeley), Yuhao Wang (National University of Singapore (NUS)), Christine Winther Bang (University of Bremen), Zhuoran Yang (UC Berkeley), Wei Zhang (MIT)

Workshops

Jan. 18Jan. 21, 2022

Organizers:

Frederick Eberhardt (Caltech; chair), Constantinos Daskalakis (Massachusetts Institute of Technology), Marloes Maathuis (ETH Zürich), Thomas Richardson (University of Washington), Leonard Schulman (Caltech), Vasilis Syrgkanis (Microsoft Research), Caroline Uhler (MIT)
Feb. 11, 2022

Organizers:

Feb. 14Feb. 17, 2022

Organizers:

Caroline Uhler (MIT), Bin Yu (UC Berkeley)
Mar. 21Mar. 24, 2022

Organizers:

Leonard Schulman (Caltech; chair), Raghu Meka (UCLA)
Apr. 25Apr. 29, 2022

Organizers:

Thomas Richardson (University of Washington; chair), Frederick Eberhardt (Caltech)

Following the program, UC Berkeley will be hosting the American Causal Inference Conference from May 23 to 25, 2022.

If you are interested in joining this program, please see the Participate page.

 Subscribe to the program calendar.

Past Internal Program Activities

Thursday, May 12th 3:30 pm4:30 pm
Vira Semenova (UC Berkeley)
Thursday, May 5th 2:30 pm3:30 pm
Blair Bilodeau (University of Toronto)
Thursday, May 5th 11:00 am12:00 pm
Thomas Icard (Stanford)
Wednesday, May 4th 3:30 pm4:30 pm
Richard Guo (University of Cambridge)
Tuesday, May 3rd 2:00 pm3:00 pm
Sara Magliacane (University of Amsterdam)
Monday, May 2nd 10:00 am11:30 am
Sam Wang
Wednesday, April 27th 3:30 pm4:30 pm
Yanjun Han (UC Berkeley)
Friday, April 22nd 3:30 pm4:30 pm
Sean Carroll (Caltech and Santa Fe Institute)
Thursday, April 21st 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Thursday, April 21st 2:00 pm3:00 pm
Ny Vasil (California State University East Bay)
Wednesday, April 20th 3:30 pm4:30 pm
Wednesday, April 20th 1:30 pm2:30 pm
Wednesday, April 20th 11:00 am12:00 pm
Julius von Kügelgen (Max Planck Institute)
Tuesday, April 19th 2:00 pm3:00 pm
Betsy Ogburn (Johns Hopkins Bloomberg School of Public Health)
Monday, April 18th 10:00 am11:30 am
Bryon Aragam (University of Chicago)
Friday, April 15th 2:30 pm3:30 pm
Bin Yu (UC Berkeley)
Friday, April 15th 10:00 am11:00 am
Thursday, April 14th 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, April 13th 3:30 pm4:30 pm
Manxi Wu (UC Berkeley)
Wednesday, April 13th 1:30 pm2:30 pm
William Torous (UC Berkeley)
Tuesday, April 12th 2:00 pm3:00 pm
Monday, April 11th 10:00 am11:30 am
Friday, April 8th 2:00 pm3:00 pm
Bin Yu (UC Berkeley)
Friday, April 8th 10:00 am11:00 am
Thursday, April 7th 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, April 6th 3:30 pm4:30 pm
Eric Mazumdar (Caltech)
Wednesday, April 6th 1:30 pm2:30 pm
Dan Soriano (UC Berkeley)
Tuesday, April 5th 2:00 pm3:00 pm
Johannes Textor (Radboud University)
Monday, April 4th 10:00 am11:30 am
Jack Kuipers (ETH Zürich)
Friday, April 1st 3:30 pm4:30 pm
Vira Semenova (UC Berkeley)
Friday, April 1st 2:00 pm3:00 pm
Wednesday, March 30th 1:30 pm2:30 pm
Melody Huang (UC Berkeley)
Wednesday, March 30th 11:00 am12:00 pm
Dhanya Sridhar
Monday, March 28th 10:00 am11:30 am
Ankur Ankan and Johannes Textor
Friday, March 18th 10:00 am11:00 am
Thursday, March 17th 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, March 16th 1:30 pm2:30 pm
Arman Sabbaghi (Purdue) Lauren Liao (UC Berkeley)
Wednesday, March 16th 11:00 am12:00 pm
Jeff Adams
Monday, March 14th 10:00 am11:30 am
Friday, March 11th 10:00 am11:00 am
Thursday, March 10th 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, March 9th 1:30 pm2:30 pm
Eaman Jahani (UC Berkeley)
Tuesday, March 8th 2:00 pm3:00 pm
Andrea Rotnitzky (Di Tella University, Buenos Aires, Argentina)
Monday, March 7th 10:00 am11:30 am
Friday, March 4th 10:00 am11:00 am
Thursday, March 3rd 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, March 2nd 1:30 pm2:30 pm
Anish Agarwal (UC Berkeley)
Monday, February 28th 1:00 pm2:00 pm
Monday, February 28th 10:00 am11:30 am
Thursday, February 24th 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, February 23rd 1:30 pm2:30 pm
Richard Guo (University of Cambridge)
Tuesday, February 22nd 10:00 am11:30 am
Friday, February 18th 10:00 am11:00 am
Thursday, February 10th 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, February 9th 1:30 pm2:30 pm
Ben Recht (UC Berkeley)
Tuesday, February 8th 8:30 am9:30 am
Emilija Perković (University of Washington)
Monday, February 7th 1:00 pm2:00 pm
Spencer Gordon (CalTech) & Richard Guo (University of Cambridge)
Monday, February 7th 10:00 am11:30 am
James Cussens (University of Bristol), overview by Byron Aragam (University of Chicago)
Friday, February 4th 2:00 pm3:00 pm
James Cussens (University of Bristol)
Friday, February 4th 10:00 am11:00 am
Friday, February 4th 10:00 am11:00 am
Thursday, February 3rd 3:30 pm4:30 pm
Angela Zhou (UC Berkeley), Rahul Singh (MIT), Patrick Burauel (CalTech)
Wednesday, February 2nd 1:30 pm2:30 pm
Wednesday, February 2nd 11:00 am12:00 pm
Tuesday, February 1st 8:30 am9:30 am
Emilija Perković (University of Washington)
Monday, January 31st 1:00 pm2:00 pm
Spencer Gordon (CalTech) Richard Guo (University of Cambridge)
Monday, January 31st 10:00 am11:30 am
James Cussens (University of Bristol)
Friday, January 14th 3:00 pm5:00 pm