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Shir Raviv

Postdoctoral Researcher

Data Science Institute

Columbia University


I am a postdoctoral researcher at the Data Science Institute at Columbia University and a non-resident fellow at ISPS, Yale University.


My research deals with the politics of new technologies. I study public attitudes and preferences regarding the use of Artificial Intelligence in public policy. I use experimental methods to study questions such as when and under what conditions citizens are willing to accept the use of algorithmic systems in shaping high-stakes decisions (e.g., on policing, welfare, education), and how people’s views on this matter change following exposure to information or by gaining personal experience interacting with these systems.

My broad research interests include political behavior, survey design, and experimental methods. 


Technology & Politics

When do Citizens Resist Using AI Algorithms in Public Policy? 

R&R at the Journal of Politics

[Manuscript[Pre-analysis Plan] 

The Politics of Using AI in Public Policy,

Evidence From a Field Experiment
with Yotam Margalit

[Manuscript] [Pre-analysis Plan]

Public Response to Government Use of AI-technology in Emergencies: Evidence from Covid-19 

[Manuscript] [Slides]

When Your Boss is an Algorithm: The Effect of Algorithmic Management on Worker Performance

with Yotam Margalit

[Manuscript] [Pre-analysis Plan]

How Media Coverage and Elite Communication Shape Public Opinion on AI Regulation

With Tamar Mitts

Other Research

The Cultural Origins of Populism 

with Yotam Margalit and Omer Solodoch

The Journal of Politics (forthcoming)

[Manuscript] [Slides]

Does Support for Redistribution Mean What We Think it Means? 
with Yotam Margalit

Political Science Research and Methods (forthcoming)


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