The day will be managed using the Virtual Chair platform. Please make sure you can access it and contact us with any problem. Here are the introductory materials prepared by Virtual Chair.
08:00am - 08:10am: | Welcome (Alex and CJ) | |
08:10am - 09:20am: | Student Presentations |
Each presentation will consist of a 5-minute presentation (from pre-recorded video) and 3-minute live Q&A.
Claudia Flores-Saviaga | Organizing Crowds to Detect Manipulative Content | ||
Yunyi Li | Beyond Noisy Labels: Investigating the Impact of Label Bias for Active Label Acquisition | ||
Kehua Lei | Design at Scale for large-scale online communication and collaboration | ||
Steven Jecmen | Making Peer Review Robust to Undesirable Behavior | ||
Shaochen Yu | From the Lab to the Crowd: Hybrid Human-Machine Systems to Support Novice Data Workers in Data Quality Tasks | ||
Holly Rosser | What the Tech? Understanding How Technology Supports Learning In Citizen Science | ||
Senjuti Dutta | Supporting Multi-device Work Practices in Crowdwork | ||
Matthew Swindall | Crowdsourcing Image Datasets: An Examination of Ground-Truth in Labeling, Text Segmentation, & Sampling Bias |
09:30am - 10:30am: | Panel: Trade-offs in Human Computation Careers |
The purpose of this panel is to provide doctoral students with insight into the trade-offs in pursuing academic and industry careers in human computation and crowdsourcing.
Panelists
10:30am - 11:30am: | Lunch Break | |
11:30am - 12:30pm: | One-on-One Mentorship | |
12:30pm - 01:40pm: | Panel: Building Interdisciplinary Collaborations in Human Computation |
The purpose of this panel is to provide doctoral students with insight into strategies that they can leverage in building interdisciplinary collaborations in their application of human computation.
Panelists
01:40pm - 02:00pm: | Closing Remarks and Social |
We welcome everyone who is interested in crowdsourcing and human computation to: