Los Angeles

June 17 - June 28, 2019 | University of California at Los Angeles (UCLA)

Schedule & Materials

- Schedule Subject to Change
Monday June 17, 2019 - Introduction and Supervised Machine Learning
  • 9:00 - 9:15 Local Logistics

  • 9:15 - 9:45 Introduction to computational social science (Princeton Stream)

  • 9:45 - 10:15 Why SICSS? (Princeton Stream)

  • 10:15 - 10:30 Coffee Break

  • 10:30 - 12:00 Supervised Machine Learning

  • 12:00 - 1:00 Lunch

  • 1:00 - 2:30 Guest speaker: Alondra Nelson (Princeton Stream)

  • 2:30 - 2:45 Break

  • 2:45 - 3:00 Introduction to the group exercise

  • 3:00 - 5:00 Group exercise

Tuesday June 18, 2019 - Collecting Digital Trace Data
  • 9:00 - 9:15 Local Logistics

  • 9:15 - 9:30 What is digital trace data? (Princeton Stream)

  • 9:30 - 9:45 Strengths and weakness of digital trace data (Princeton Stream)

  • 9:45 - 10:15 Screen-Scraping (Princeton Stream)

  • 10:15 - 10:30 Coffee Break

  • 10:30 - 11:00 Application Programming Interfaces (Princeton Stream)

  • 11:00 - 12:30 Building Apps and Bots for Social Science Research (Princeton Stream)

  • 12:30 - 1:30 Lunch

  • 1:30 - 1:45 Introduction to the group exercise

  • 1:45 - 3:45 Group exercise

  • 3:45 - 4:00 Break

  • 4:00 - 5:00 Guest Speaker: Tim Dennis

Wednesday June 19, 2019 - Automated Text Analysis
  • 9:00 - 9:15 Local Logistics

  • 9:15 - 9:30 History of quantitative text analysis (Local and Princeton Stream)

  • 9:30 - 9:45 Basic Text Analysis/GREP (Local and Princeton Stream)

  • 9:45 - 10:00 Dictionary-Based Text Analysis (Local and Princeton Stream)

  • 10:00 - 10:15 Coffee Break

  • 10:15 - 11:15 Topic models/Structural Topic Models (Local and Princeton Stream)

  • 11:15 - 11:30 Text Networks (Local and Princeton Stream)

  • 11:30 - 11:45 Introduction to group exercise

  • 11:45 - 1:00 Lunch

  • 1:00 - 2:15 Guest Speaker: Zachary Steinert-Threlkeld

  • 2:15 - 2:30 Break

  • 2:30 - 5:00 Group Exercise

Thursday June 20, 2019 - Surveys in the Digital Age
  • 9:00 - 9:30 Survey research in the digital age (Local and Princeton Stream)

  • 9:30 - 10:05 Probability and non-probability sampling (Local and Princeton Stream)

  • 10:05 - 10:15 Coffee break

  • 10:15 - 10:40 Computer-administered interviews and wiki surveys (Princeton Stream)

  • 10:40 - 11:05 Combining surveys and big data (Princeton Stream)

  • 11:05 - 12:05 Guest Speaker: Jungseock Joo

  • 12:05 - 1:00 Lunch

  • 1:00 - 2:30 Guest speaker: Justin Grimmer (Princeton Stream)

  • 2:30 - 4:45 Group exercise

  • 4:45 - 5:00 Discuss activity and open-source data

Friday June 21, 2019 - Computational Methods for Demography and Causal Inference (Mini-Conference)
  • 9:15 - 10:30 Local logistics

  • 9:15 - 10:30 Speed-dating and group formation for week 2 projects

  • 10:30 - 10:45 Coffee break

  • 10:45 - 11:00 Mini-conference opening and introduction

  • 11:00 - 12:00 Guest Speaker: Erin Hartman

  • 12:00 - 1:00 Lunch

  • 1:00 - 2:00 Computational causal research workshop

  • 2:00 - 3:15 Panel I: Digital Demography (Dennis Feehan and Ka-Yuet Liu)

  • 3:15 - 3:30 Break

  • 3:30 - 4:45 Panel II: Computational Causal Inference (Judea Pearl and Sam Pimentel)

  • 4:45 - 5:00 Break

  • 5:00 - 6:00 Reception

Saturday June 22, 2019 - Day off
Sunday June 23, 2019 - Day off
Monday June 24, 2019 - Work on group projects
  • 9:30 - 10:30 [Optional] Panel on book publishing: Meagan Levinson (Senior Editor, Princeton University Press), Eric Schwartz (Editoral Director, Columbia Univesity Press), and Chris Bail (Editor of the Oxford University Press Series in Computational Social Science) (Princeton Stream)

Tuesday June 25, 2019 - Work on group projects
  • 9:30 - 10:30 [Optional] Guest speaker: Chris Wiggins (Princeton Stream)

  • 12:30 - 1:30 Lunch and participant flash talks

Wednesday June 26, 2019 - Work on group projects
  • 12:00 - 1:00 Lunch and participant flash talks

Thursday June 27, 2019 - Work on group projects
  • 12:30 - 1:30 Lunch and participant flash talks

Friday June 28, 2019 - Present group projects
  • 1:30 - 5:15 Present group projects

Host a Location

You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university, company, NGO, or government agency.

Learn More