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DataFest S19 (SPRING 2019)

 

Co-Chairs

 

DataFest S19 Project Advisors

Student Participants

  • Do Own (Donna) Kim
    • Ph.D., Annenberg School for Communication and Journalism
  • Natalie Jonckheere
    • Ph.D., Annenberg School for Communication and Journalism
  • Calvin Liu
    • Ph.D., Annenberg School for Communication and Journalism
  • Qiyao (Joyce) Peng
    • Master of Communication Management, Annenberg School for Communication and Journalism
  • Alejandro Marin Parra
    • Master of Computer Science, Viterbi School of Engineering
  • Joo-Wha Hong
    • Ph.D., Annenberg School for Communication and Journalism
  • Eunhye Ahn
    • Ph.D., Suzzane Dworak-Peck School of Social Work
  • Giorgos Constantinou
    • Master of Computer Science, Viterbi School of Engineering
  • John Cutone
    • Master of Computer Science, Viterbi School of Engineering
  • Huy Nghiem
    • Master of Computer Science, Viterbi School of Engineering
  • Han Wu
    • Master of Computer Science, Viterbi School of Engineering
  • Lingkai Cen
    • Master of Building Science, School of Architecture
  • Mengqi Jia
    • Master of Building Science, School of Architecture
  • Ian Myoungsu Choi
    • Master of Applied Data Science, Viterbi School of Engineering

Schedule

DataFest S19 included several initial discussions, a project pitch session, follow up weekly labs and discussion sessions, and a final session with project presentations:

  • Wednesday, 3/20, 9am-10am — Project pitch session and student sign up
  • Friday 4/5, 12-5pm — DataFest Labs
  • Friday 4/12, 12-5pm — DataFest Labs
  • Friday 4/19, 12-5pm — DataFest Labs
  • Friday 4/26, 12-5pm — Final project presentations

DataFest S19 Project Roster

DataFest S19 included data science projects in several areas:

  • Discovering patterns of individual and group behaviors, using online multiplayer game data with techniques including social network analysis, survey data analysis, and text analysis. This is a new collaboration between the Annenberg School of Communication and the Viterbi School of Engineering.
  • Analyzing environmental data, using health and environmental data with machine learning and electronic notebooks. This is a new collaboration between the Dornsife College of Letters, Arts, and Sciences and the Viterbi School of Engineering.
  • Telling stories about Los Angeles by the numbers, using crime data for the city of Los Angeles with techniques such as geospatial analysis, entity resolution, and data visualization. This is an ongoing collaboration between the Annenberg School of Journalism and the Viterbi School of Engineering.

For a detailed project roster, see here.

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