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Project Descriptions
Spring 2025

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Showing 4 projects out of 4 found. On page 1 out of 1.
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Using Stories in Experimental Political Science

Marika Landau-Wells - Professor, Political Science

Status: Full- no new appr needed     Weekly Hours: to be negotiated     Location: On Campus

People are exposed to stories of all kinds in their daily lives, including appealing but false stories such as conspiracy theories. One way to understand the causal influence of stories on beliefs and behaviors is to use them as experimental treatments. The outcomes of these experiments can vary widely depending...

 Social Sciences

Threat Perception in Foreign Policy Decision-Making

Marika Landau-Wells - Professor, Political Science

Status: Full- no new appr needed     Weekly Hours: to be negotiated     Location: On Campus

Threat perception has always played a major role in foreign and domestic policy-making. From Covid to climate change to terrorism, policy-makers have made decisions about which potential threats to address and which to ignore. This project investigates how policy-makers in the U.S. and in other countries determine...

 Social Sciences

Threat Perception in the Brain: A Meta-Analysis Project

Marika Landau-Wells - Professor, Political Science

Status: Current Term Now Closed     Weekly Hours: to be negotiated     Location: On Campus

Neuroscientists have studied the brain's response to threatening stimuli since the earliest days of brain imaging. Yet there is no single catalogue of threat perception studies and their findings. Meta-analysis involves using data from many studies to characterize the collective state of knowledge in a field. This project seeks...

 Social Sciences

Using Language Models for Text Coding Validation

Marika Landau-Wells - Professor, Political Science

Status: Full- no new appr needed     Weekly Hours: to be negotiated     Location: On Campus

Social scientists often assign categorical values to text data in order to structure it (e.g., categorizing statements made by Congress members as pro- or anti-immigration). Traditionally, this coding has been done manually by humans who read and categorize the texts of interest. This method risks both systematic error (e.g...

 Social Sciences

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