KAIST Fall 2018

CS473: Introduction to Social Computing

Human-computer interaction no longer only concerns a single user in front of their computer. An increasing number of modern systems are inherently social, involving a large group of users to collaborate, discuss, ideate, solve problems, and make decisions together via social interaction. This course focuses on crowdsourcing and social computing, two of the most important concepts in the era of interaction at scale. This course will cover major design issues and computational techniques in building crowdsourcing and social computing systems.

This is a highly interactive class: You’ll be expected to actively participate in activities, projects, assignments, and discussions. There will be no lectures or exams. Major course activities include:

  • Reading Response: You'll read and discuss important papers and articles in the field. Each week, there will be 1-2 reading assignments, for which you'll write a short response to.
  • Topic Presentation: Once a semester, you'll lead the class by summarizing the readings and peer students' critiques, and spurring the in-class discussion. You’ll also get a chance to design your own activity that best captures the topic of a class.
  • Design Project: In a semester-long team project, you'll design, build, and test your own crowdsourcing / social computing system. If you have an ongoing research project that might benefit from having a crowdsourcing / social computing component, connecting to your research is encouraged.
  • In-class Activities: Each class will feature activities that will help you experience and practice the core concepts introduced in the course.

Course Staff

Instructor: Prof. Juho Kim
    Office Hours: 4-5pm Mon/Wed @ N1-605

TA: TBD
    Office Hours: TBD

Staff Mailing List: cs473@kixlab.org

Time & Location

When: 4:00-5:15pm Tue/Thu
Where: N1-103

Updates

  • 7/6: Welcome to the social computing class!

Schedule

Week Date Topic Reading (response indicates a reading response is required for the article.) Due
1 8/28 Introduction & Course Overview
1 8/30
2 9/4
2 9/6
3 9/11
3 9/13
4 9/18
4 9/20
5 9/25 No class (Chuseok)
5 9/27
6 10/2 Project Pitches
6 10/4 Project Pitches
7 10/9 No class (Hangul Proclamation Day)
7 10/11
8 10/16 No class (Midterms week)
8 10/18 No class (Midterms week)
9 10/23
9 10/25
10 10/30
10 11/1
11 11/6
11 11/8
12 11/13
12 11/15
13 11/20
13 11/22
14 11/27
14 11/29 No class (Undergrad admission interview day)
15 12/4 Final Presentations
15 12/6 Final Presentations
16 12/11 No class (Finals week)
16 12/13 No class (Finals week)

Topics (tentative)

Major topics include:
  • Crowdsourcing and human computation
  • Social computing platforms
  • Social networks and online communities
  • Computer supported collaborative work
  • Privacy and ethics
  • Incentives and gamification
  • Online experimentation and analysis
  • Programming paradigms
  • Quality control and fighting malicious behaviors

Grading

  • Design project: 40%
  • Topic Presentation: 20%
  • Reading responses: 20%
  • Assignments: 10%
  • Class participation: 10%
Late policy: Three lowest reading response grades will be removed. No late submissions are allowed for the reading responses. For assignments and project milestones, you'll lose 10% for each late day. Submissions will be accepted until three days after the deadline.

Prerequisites

There are no official course prerequisites. But assignments and the final project will require building features of a crowdsourcing / social computing system, so programming skills are needed. Knowledge or research experience in HCI (CS374 or equivalent) or social computing is useful, but not required.