Humor Genome

2013 ~ Present

Goals

To build an Internet repository of humor, broadly interpreted. Items which are considered funny by various groups would be tracked via social networking integration. The resulting big data would be available for analytics, which, in particular, could include research that will help better understand and perhaps even quantify humor. Possible crowd sourcing of jokes or computer generated humor.

Issues Involved or Addressed

Study of humor, data analytics and machine learning, artificial intelligence, social networks.

Methods and Technologies

  • Web Platform Development
  • Data Analytics
  • Social Networks
  • Cloud Computing
  • Artificial Intelligence
  • Multi-media
  • Databases
  • Graphics
  • User Interface Design

Academic Majors of Interest

  • Business Administration, Management
  • Computational Media
  • Computer Engineering
  • Computer Science
  • Mathematics
  • Psychology

Preferred Interests and Preparation

CmpE, CS, CM - Background/Interest in web development, web applications, social media, graphics, artificial intelligence, databases.
CSE, MATH - Background/Interest in big data, analytics, machine learning, algorithms.
MGMT - Background/Interest in marketing, commercialization.
IAH - Background/Interest in digital media, humor, improvisation, storytelling.
PSYC - Background/Interest in humor, creativity, and learning.

Meeting Schedule & Location

Time: 

1:30-2:20

Meeting Location: 

Klaus 1440

Meeting Day: 

Tuesday

Team Advisors

Dr. Pete Ludovice (ChBE)
Dr. Lew Lefton (MATH)