Data Skeptic

Opinion Dynamics Models

Feb 6, 2023

35:45

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Highlights

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Episode notes

Agent Based Approach to Modeling Complexity

02:39

The Limits in Any Elements of Research

01:37

How Do You Model That Process of Opinions Changing Over Time?

01:34

Introduction

2min

Do Bayesian Methods Play a Role in Your Research?

2min

How Do You Model That Process of Opinions Changing Over Time?

2min

How Can We Measure What Public Opinion Is?

2min

Question Space: Which Kind of Questions Do We Ask?

2min

How to Measure With a Question

2min

What Kinds of Distortions Might Affect My Data?

2min

Is There a Network in Modeling?

2min

How Does Truth Play Into This Discussion?

3min

10.

Agent Based Approach to Modeling Complexity

3min

11.

Model Validation

2min

12.

Vaccine Hesitancy - How Do You Approach the Historical Data Set?

2min

13.

Vaccine Hesitancy

3min

14.

Is This an Emerging Phenomenon?

2min

15.

The Limits in Any Elements of Research

2min

16.

Designing Survey to Get Good Data?

3min

On the show today, Dino Carpentras, a post-doctoral researcher at the Computational Social Science group at ETH Zürich joins us to discuss how opinion dynamics models are built and validated. He explained how quantifying opinions is complex, and strategies to develop robust models for measuring and predicting public opinions.