I am driven to transform how people and their communities advance their individual and collective goals through people’s busy lives.

I design technologies that do not enforce rigid ways of working and collaborating but that instead surface flexible ways to advance goals of interest as opportunities arise.

My research designs and builds intelligent systems, and evaluates built systems in simulation and through real-world deployment studies.

[CV] [Research Statement] [Teaching Statement] [Diversity Statement]

I am a PhD student in Technology and Social Behavior at Northwestern University, a program combining Computer Science and Communication Studies. I am advised by Dr. Haoqi Zhang in the Delta Lab.

My dissertation develops principles, models, and intelligent systems for flexible coordination and advances the design of on-the-go crowdsourcing systems that opportunistically recruit members in a community to make small, convenient contributions to flexibly and efficiently achieve collective goals through their existing routines.

My research broadly spans and draws from the fields of human-computer interaction (HCI), artificial intelligence (AI), social and crowd computing, and decision science.

I received my M.Sc. degree in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) and B.Eng. degree in Computer Science from Tsinghua University.

Recent Publications

Understanding Trust amid Delays in Crowdfunding
Yongsung Kim, Aaron Shaw, Haoqi Zhang, Elizabeth Gerber
CSCW 2017 | slides
Studying the Effects of Task Notification Policies on Participation and Outcomes in On-the-go Crowdsourcing
Yongsung Kim, Emily Harburg, Shana Azria, Aaron Shaw, Elizabeth Gerber, Darren Gergle, Haoqi Zhang
HCOMP 2016 | slides
Habitsourcing: Sensing the Environment through Immersive, Habit-Building Experiences
Katherine Lin, Henry Spindell, Scott Cambo, Yongsung Kim, Haoqi Zhang
UIST 2016
PhD student
Technology and Social Behavior
Northwestern University

2133 Sheridan Rd, 3.230
Evanston, IL 60208