As part of the Design Lab’s graduate course work on Crowdsourcing taught by Steven Dow, students explored models —such as paid micro-work, citizen science, crisis informatics, and games with a purpose— to bring large groups of people together to make something greater than any one person could achieve. For their final presentations, students innovated some wonderfully creative research projects: contributing novel methods, inventing new crowd technologies, and answering open questions about crowdsourcing.
- Self-forming crowd teams: how micro-workers choose teammates (Markus Duecker, Andrew Dennis)
- How to SOAR with crowds: strategic reading with crowdsourced lit reviews (Amy Rae Fox, Kandarp Khandwala, Tricia Ngoon)
- Improving the livestream experience of Multiplayer Online Battle Arena events through “audience-sourcing” (Rahul Ramath)
- Can soft skills be mined from Github? Expert and crowd analysis of open source software project conversations (Ariel Weingarten)
- Preference matching in recommendation tasks using crowd clustering (Shawn Hyeonsu Kang)
- Learning the secret of social charm in a game: You rate, we decode (Amanda Song, Shuai Tang, Mohammad Motiei)
- Cream of the Crop: Recruiting expert crowd workers to disseminate their strategies to subsequent workers (Abhinav Mishra, Agneev Ghosh, Mansi Malik)
ABOUT STEVEN DOW:
Steven is an Assistant Professor of Cognitive Science at UC San Diego where he researches human-computer interaction, social computing, and creativity. Steven received the National Science Foundation CAREER Award in 2015 for research on “advancing collective innovation.” He was co-PI on three other National Science Foundation grants, a Google Faculty Grant, Stanford’s Postdoctoral Research Award, and the Hasso Plattner Design Thinking Research Grant. Steven was on the faculty in the HCI Institute at CMU from 2011-2015. He holds an MS and PhD in Human-Centered Computing from the Georgia Institute of Technology, and a BS in Industrial Engineering from University of Iowa.
