Isaac Newton Institute Seminars

19
Jan

Origins of randomization for causal inference

Speaker:

Qingyuan Zhao (University of Cambridge), Yao Zhang (National University of Singapore)

Time:

Monday, January 19, 2026 - 09:30 to 10:30

Venue:

Seminar Room 1, Newton Institute

19
Jan

Morning Break

Speaker:

Time:

Monday, January 19, 2026 - 10:30 to 11:00

Venue:

Foyer

19
Jan

Title TBC (copy)

Speaker:

Time:

Monday, January 19, 2026 - 11:00 to 12:00

Venue:

Seminar Room 1, Newton Institute

19
Jan

What is new in randomization tests?

Speaker:

Qingyuan Zhao (University of Cambridge), Yao Zhang (National University of Singapore)

Time:

Monday, January 19, 2026 - 11:00 to 12:00

Venue:

Seminar Room 1, Newton Institute

19
Jan

A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 1)

Speaker:

Rohit Bhattacharya (Williams College)

Time:

Monday, January 19, 2026 - 14:00 to 15:00

Venue:

Seminar Room 1, Newton Institute

19
Jan

A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 2)

Speaker:

Rohit Bhattacharya (Williams College)

Time:

Monday, January 19, 2026 - 15:30 to 16:30

Venue:

Seminar Room 1, Newton Institute

19
Jan

Spectral Inequalities and Quantitative Unique Continuation for Schrödinger operators (a joint seminar with Spectral Geometry in the Clouds)

Speaker:

Eugenia Malinnikova (Stanford University)

Time:

Monday, January 19, 2026 - 16:00 to 17:00

Venue:

Seminar Room 2, Newton Institute

20
Jan

Causal Inference With Instrumental Variables

Speaker:

Hyunseung Kang (University of Wisconsin-Madison)

Time:

Tuesday, January 20, 2026 - 09:00 to 10:00

Venue:

Seminar Room 1, Newton Institute

20
Jan

Causal Inference With Instrumental Variables

Speaker:

Hyunseung Kang (University of Wisconsin-Madison)

Time:

Tuesday, January 20, 2026 - 10:30 to 11:30

Venue:

Seminar Room 1, Newton Institute

20
Jan

Machine learning & nonparametric efficiency in causal inference

Speaker:

Edward Kennedy (Carnegie Mellon University)

Time:

Tuesday, January 20, 2026 - 11:30 to 12:30

Venue:

Seminar Room 1, Newton Institute

20
Jan

Machine learning & nonparametric efficiency in causal inference

Speaker:

Edward Kennedy (Carnegie Mellon University)

Time:

Tuesday, January 20, 2026 - 14:00 to 15:00

Venue:

Seminar Room 1, Newton Institute

20
Jan

Free Discussion and Refreshments

Speaker:

Time:

Tuesday, January 20, 2026 - 15:00 to 16:00

Venue:

Seminar Room 1, Newton Institute

20
Jan

Being Realistic About Unmeasured Biases in Observational Studies

Speaker:

Paul Rosenbaum (University of Pennsylvania)

Time:

Tuesday, January 20, 2026 - 16:00 to 17:00

Venue:

Seminar Room 1, Newton Institute

21
Jan

Registration

Speaker:

Time:

Wednesday, January 21, 2026 - 08:45 to 09:15

Venue:

Foyer

21
Jan

Director Briefing

Speaker:

Milla Kibble (Isaac Newton Institute)

Time:

Wednesday, January 21, 2026 - 09:15 to 09:20

Venue:

Seminar Room 1, Newton Institute

21
Jan

Organiser Welcome

Speaker:

Qingyuan Zhao (University of Cambridge), Mats Stensrud (EPFL - Ecole Polytechnique Fédérale de Lausanne)

Time:

Wednesday, January 21, 2026 - 09:20 to 09:30

Venue:

Seminar Room 1, Newton Institute

21
Jan

Does causality only mean one thing?

Speaker:

Phyllis Illari (University College London)

Time:

Wednesday, January 21, 2026 - 09:30 to 10:15

Venue:

Seminar Room 1, Newton Institute

21
Jan

Inference for Group Interaction Experiments

Speaker:

Cyrus Samii (New York University)

Time:

Wednesday, January 21, 2026 - 10:15 to 11:00

Venue:

Seminar Room 1, Newton Institute

21
Jan

On common roots of Legendre polynomials

Speaker:

Dan Mangoubi (Hebrew University of Jerusalem)

Time:

Wednesday, January 21, 2026 - 11:00 to 12:00

Venue:

Seminar Room 2, Newton Institute

21
Jan

Lost in Aggregation: The Causal Interpretation of the IV Estimand

Speaker:

Frederick Eberhardt (CALTECH (California Institute of Technology))

Time:

Wednesday, January 21, 2026 - 11:30 to 12:15

Venue:

Seminar Room 1, Newton Institute

19
Jan

Origins of randomization for causal inference

19
Jan

Morning Break

19
Jan

Title TBC (copy)

19
Jan

What is new in randomization tests?

19
Jan

A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 1)

19
Jan

A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 2)

19
Jan

Spectral Inequalities and Quantitative Unique Continuation for Schrödinger operators (a joint seminar with Spectral Geometry in the Clouds)

20
Jan

Causal Inference With Instrumental Variables

20
Jan

Causal Inference With Instrumental Variables

20
Jan

Machine learning & nonparametric efficiency in causal inference

20
Jan

Machine learning & nonparametric efficiency in causal inference

20
Jan

Free Discussion and Refreshments

20
Jan

Being Realistic About Unmeasured Biases in Observational Studies

21
Jan

Registration

21
Jan

Director Briefing

21
Jan

Organiser Welcome

21
Jan

Does causality only mean one thing?

21
Jan

Inference for Group Interaction Experiments

21
Jan

On common roots of Legendre polynomials

21
Jan

Lost in Aggregation: The Causal Interpretation of the IV Estimand

Forthcoming Seminars

News, Announcements and Events

Social media

Study at Cambridge

About the University

Research at Cambridge

Isaac Newton Institute Seminars

19Jan Origins of randomization for causal inference

19Jan Morning Break

19Jan Title TBC (copy)

19Jan What is new in randomization tests?

19Jan A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 1)

19Jan A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 2)

19Jan Spectral Inequalities and Quantitative Unique Continuation for Schrödinger operators (a joint seminar with Spectral Geometry in the Clouds)

20Jan Causal Inference With Instrumental Variables

20Jan Causal Inference With Instrumental Variables

20Jan Machine learning & nonparametric efficiency in causal inference

20Jan Machine learning & nonparametric efficiency in causal inference

20Jan Free Discussion and Refreshments

20Jan Being Realistic About Unmeasured Biases in Observational Studies

21Jan Registration

21Jan Director Briefing

21Jan Organiser Welcome

21Jan Does causality only mean one thing?

21Jan Inference for Group Interaction Experiments

21Jan On common roots of Legendre polynomials

21Jan Lost in Aggregation: The Causal Interpretation of the IV Estimand

Forthcoming Seminars

News, Announcements and Events

Social media

Study at Cambridge

About the University

Research at Cambridge

19
Jan

Origins of randomization for causal inference

19
Jan

Morning Break

19
Jan

Title TBC (copy)

19
Jan

What is new in randomization tests?

19
Jan

A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 1)

19
Jan

A Tutorial on Identification, Non-Identification, and Parameterizations in Causal Graphs with Hidden Variables (Part 2)

19
Jan

Spectral Inequalities and Quantitative Unique Continuation for Schrödinger operators (a joint seminar with Spectral Geometry in the Clouds)

20
Jan

Causal Inference With Instrumental Variables

20
Jan

Causal Inference With Instrumental Variables

20
Jan

Machine learning & nonparametric efficiency in causal inference

20
Jan

Machine learning & nonparametric efficiency in causal inference

20
Jan

Free Discussion and Refreshments

20
Jan

Being Realistic About Unmeasured Biases in Observational Studies

21
Jan

Registration

21
Jan

Director Briefing

21
Jan

Organiser Welcome

21
Jan

Does causality only mean one thing?

21
Jan

Inference for Group Interaction Experiments

21
Jan

On common roots of Legendre polynomials

21
Jan

Lost in Aggregation: The Causal Interpretation of the IV Estimand