KNAW webinar Causality in economics, computer science, logic, and language

Reasoning about causal relationships is an important topic across the sciences. Last year's Nobel Prize in Economics was awarded to Guido Imbens, foreign member of the KNAW. Together with Joshua Angrist, he received the prize for their central role in shaping how researchers understand and analyse causal relationships, using natural experiments. These are situations arising in real life that resemble randomised experiments, e.g. arising from natural random variations, institutional rules or policy changes. 00:00 Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam 09:42 Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens 11:09 Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making 32:50 Rineke Verbrugge - Introduction Sara Magliacane 33:49 Sara Magliacane, Assistant Professor of Informatics, University of Amsterdam – Causality-inspired machine learning: what can causality do for machine learning? 56:17 Rineke Verbrugge - Introduction Thomas Icard 57:31 Thomas Icard, Professor of Philosophy and Computer Science, Stanford University (United States) – Logical Problems of Causal Inference 1:17:49 Rineke Verbrugge - Introduction Katrin Schulz 1:18:46 Katrin Schulz, Assistant Professor of Linguistic Philosophy, University of Amsterdam – Causality in language: generics and beyond 1:43:01 Questions & answers More information: https://www.knaw.nl/en/events/causali... Meer informatie: https://www.knaw.nl/bijeenkomsten/cau...

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

0:00

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

9:42

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

11:09

Rineke Verbrugge - Introduction Sara Magliacane

32:50

Transcript

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De KNAW

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KNAW webinar Causality in economics, computer science, logic, and language

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Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Rineke Verbrugge - Introduction Sara Magliacane

Rineke Verbrugge - Introduction Sara Magliacane

Rineke Verbrugge - Introduction Sara Magliacane

Sara Magliacane, Assistant Professor of Informatics, University of Amsterdam – Causality-inspired machine learning: what can causality do for machine learning?

Sara Magliacane, Assistant Professor of Informatics, University of Amsterdam – Causality-inspired machine learning: what can causality do for machine learning?

Sara Magliacane, Assistant Professor of Informatics, University of Amsterdam – Causality-inspired machine learning: what can causality do for machine learning?

Rineke Verbrugge - Introduction Thomas Icard

Rineke Verbrugge - Introduction Thomas Icard

Rineke Verbrugge - Introduction Thomas Icard

Thomas Icard, Professor of Philosophy and Computer Science, Stanford University (United States) – Logical Problems of Causal Inference

Thomas Icard, Professor of Philosophy and Computer Science, Stanford University (United States) – Logical Problems of Causal Inference

Thomas Icard, Professor of Philosophy and Computer Science, Stanford University (United States) – Logical Problems of Causal Inference

Rineke Verbrugge - Introduction Katrin Schulz

Rineke Verbrugge - Introduction Katrin Schulz

Rineke Verbrugge - Introduction Katrin Schulz

De KNAW

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KNAW webinar Causality in economics, computer science, logic, and language

Chapters

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Rineke Verbrugge - Introduction Sara Magliacane

Rineke Verbrugge - Introduction Sara Magliacane

Rineke Verbrugge - Introduction Sara Magliacane

Sara Magliacane, Assistant Professor of Informatics, University of Amsterdam – Causality-inspired machine learning: what can causality do for machine learning?

Sara Magliacane, Assistant Professor of Informatics, University of Amsterdam – Causality-inspired machine learning: what can causality do for machine learning?

Sara Magliacane, Assistant Professor of Informatics, University of Amsterdam – Causality-inspired machine learning: what can causality do for machine learning?

Rineke Verbrugge - Introduction Thomas Icard

Rineke Verbrugge - Introduction Thomas Icard

Rineke Verbrugge - Introduction Thomas Icard

Thomas Icard, Professor of Philosophy and Computer Science, Stanford University (United States) – Logical Problems of Causal Inference

Thomas Icard, Professor of Philosophy and Computer Science, Stanford University (United States) – Logical Problems of Causal Inference

Thomas Icard, Professor of Philosophy and Computer Science, Stanford University (United States) – Logical Problems of Causal Inference

Rineke Verbrugge - Introduction Katrin Schulz

Rineke Verbrugge - Introduction Katrin Schulz

Rineke Verbrugge - Introduction Katrin Schulz

Katrin Schulz, Assistant Professor of Linguistic Philosophy, University of Amsterdam – Causality in language: generics and beyond

Katrin Schulz, Assistant Professor of Linguistic Philosophy, University of Amsterdam – Causality in language: generics and beyond

Katrin Schulz, Assistant Professor of Linguistic Philosophy, University of Amsterdam – Causality in language: generics and beyond

Questions & answers

Questions & answers

Questions & answers

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Chapters View all

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Introduction by Balder ten Cate, Associate Professor of Logic and computer science at University of Amsterdam

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Rineke Verbrugge, Professor of Logic and Cognition at University of Groningen - Introduction Guido Imbens

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Guido Imbens, Professor of Economics and Applied Econometrics, Stanford Graduate School of Business (United States), co-winner of the 2021 Nobel Prize in Economic Sciences – Causal Inference and Decision Making

Rineke Verbrugge - Introduction Sara Magliacane

Rineke Verbrugge - Introduction Sara Magliacane

Rineke Verbrugge - Introduction Sara Magliacane

De KNAW

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