Past Research

Partisan Taunting

Summer 2011

This project was a content analysis of US Congress' speeches across time. The goal of the research was to identify and study one specific communication technique, defined as "partisan taunting."

Catalist Voter File Project

Catalist, a consulting firm, has compiled all voter files for all states. The firm has also cleaned the files (to get rid of duplicates, etc.). This project will assess the quality of voter registration files and aggregate the cleaned voter files to the levels of political geographies, such as precincts, legislative districts, and states.

The Effects of Co-Experience, the Effects of Mental Access, and Altruism’s Connection to Delayed Gratification

Professor Daniel Gilbert is an experimental social psychologist whose methods run from large-scale survey research (Killingsworth & Gilbert, 2010) to brain imaging (Mitchell, Schirmer, Ames, & Gilbert, 2010), but that generally focus on laboratory-based studies of human behavior. Gilbert's primary research focus over the last 15 years has been on the errors people make when attempting to predict their emotional reactions to future events.

Extraction and Coding of Biographical Data in Chinese Texts

Summer 2011

This project utilized text-mining techniques in order to extract and code biographical data found within Chinese texts.

  • Sponsoring Faculty Member: Peter Bol
  • Undergraduate Research Scholars: Shuai (Charlotte) Chang, Cheng Li, Jinghao (Dan) Zhou, Wanxin Cheng, Heng Shao, Yifan Li, Tian Zeng, Yilun Chen, Siyu Wang, Yifan Wu, Xin Xiang, Nancy Xie, David (Wendong) Zhang

How Languages Deal with Requests, Especially within Mandarin Chinese

Our project explored how individuals communicate in task-oriented dialogues. Linguists have long studied stories and narratives, but some important features of language emerge only when speakers have joint intentions and share a common visual ground. Not only did we study how listeners recover linguistic representations, but also to what degree speakers and listeners align such representations using dialogue.

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